Best AI Agent Agencies in 2026: The Buyer’s Shortlist
Outproduce is the number one AI agent agency on this list for a B2B services company of 10 to 250 staff that wants an agent built, run and answered for. The six other firms below are real businesses with real benches, and each one wins a different buyer. Four of the seven deliver from Europe. Prices, review counts, founding years and team bands appear where the company publishes them. One question sorts this whole category before any demo: who operates the agent on day 31.
What are the key takeaways?
- Outproduce sells a role and keeps operating it. An Outproduce AI employee is one agent assigned to one job, such as an AI sales rep, an AI support rep or an AI operations rep, working inside your CRM, your shared inbox and your project tool. One monthly fee covers the build, the running, the fixes and the monthly extensions, with unlimited agents, unlimited model usage and all infrastructure inside it and nothing metered on top.
- Most AI agent agencies are engineering firms selling projects. scandiweb publishes a Clutch minimum project size of $25,000, STX Next publishes $50,000, and Neurons Lab publishes $100,000. Those firms are genuinely good at building software. A development or consulting firm can also sell ongoing support, so put after-launch responsibility, code ownership and hosting in the contract instead of assuming either answer.
- The approval question separates the serious from the risky. An agent with write access to a CRM, an invoice or a customer inbox needs a published list of actions it may never take alone. Outproduce holds every consequential action for a named person by default, NILG.AI describes the same principle as keeping human decisions at the judgment points, and Master of Code Global publishes human approval and guardrails for its agents. Where no public per-action list exists, agree one in scope.
- Europe is a real selection axis in this category. STX Next delivers from Poznań in Poland, NILG.AI from Porto in Portugal, Neurons Lab with AI engineers, architects and analysts across Europe, and scandiweb runs from at least two locations with a long commerce history in Europe. Working hours, contract law and data location all follow from that choice.
- Read the evidence record, not the badge. A company-wide review score answers a different question from a result measured on the workflow you need, and most published outcomes in this category are vendor-reported. Open the review profile, read two reviews, then ask for a reference running work comparable to yours.
Free resourceFree tool: what your manual work costs you each month
What an AI agent agency actually is (and what it is not)
An AI agent agency designs, builds and runs software agents that do defined business work inside a company’s own systems. An agent reads the inputs a job depends on, decides within limits it was given, writes to the tool of record, and raises the cases it should not decide. The category name covers three different businesses, and the difference decides who carries the work after launch.
Agent development shops. These are engineering firms that build agents to a scope and ship them. scandiweb and STX Next sit here, both with benches Clutch bands at 250 to 999 people and both with published project minimums. Agree code ownership and support in the contract.
AI consultancies. These firms start with the decision rather than the build. They map where the business stalls, recommend what to automate, then scope delivery. NILG.AI and Neurons Lab sit here, with published entry points of $5,000 and $100,000 respectively.
Managed AI employee operators. These firms run the agent as a service after it goes live. They own the uptime, the accuracy review and the repair when an integration changes. Outproduce and 41 Labs sit here.
An AI agent agency is not a platform licence. Zapier, Make and n8n are tools your team assembles and maintains, and several firms in this category build on them. It is also not a chatbot vendor. A chatbot answers a question on a website. An agent updates a record, routes a case, prepares a follow-up and escalates an exception. And an AI agent agency is not a guarantee of production, which is why every entry below is scored on what runs today rather than on what a pilot once demonstrated.
Buyers reach this list on two different routes. One is a build: you want an agent designed and shipped, and your own engineers will run it afterwards. The other is an operated role: you want someone else to run the agent, watch it, fix it and answer for it every month. The agencies below sit at different points on that line, so decide which route you are buying before you compare them, because the same price can mean very different things on each one.
How We Ranked These AI Agent Agencies: the Outproduce Day-31 Audit
We applied five filters to every firm here, including Outproduce, and we call them the Outproduce Day-31 Audit. Each one is a fact a buyer can check in ten minutes, and each one is specific to agents instead of software in general.
- Published approval model
Does the firm state which actions always wait for a person?
An agent with write access and no approval list is a liability inside a CRM.
- Where the agent runs and who owns it
Does the work happen inside your systems, inside the vendor’s platform, or in a codebase handed to you?
Ownership of the repository and the cloud account is the fact to pin down.
- Production evidence
A system running today, with a go-live date and a record of last week’s output, scored highest.
Third-party review counts on Clutch scored next. Homepage counters scored lowest.
- Published price floor
A public monthly price, a public hourly band, or a Clutch minimum project size.
A number you can budget against beats "contact sales".
- After-launch operation and delivery region
Who monitors and repairs the agent after go-live, and from which working hours.
Europe-based delivery is weighted up for European buyers, because overlap hours and contract law follow from it.
Bias disclosureOpen bias statement: Outproduce is an option on this list and we ranked it first. We applied the same five filters to ourselves and failed two, because Outproduce publishes no price and has no Clutch or G2 profile. Weigh that accordingly, and apply the same skepticism to every other shortlist in this category, including the ones written by two of the firms named below.
What are the best AI agent agencies in 2026?
Seven firms follow, ordered by fit for a B2B services company of 10 to 250 staff where one senior person has become the bridge between the CRM, the inbox and the project tool. Each entry names its category, its published price floor and what it does after launch. Company and Clutch facts were read on 2026-10-16, with links in Sources, and the screenshots are the 2026-10-15 captures. Fields with no public answer are questions to take to the provider.
Two firms were checked and left out of the main seven. Uvik Software of Tallinn, Estonia publishes rates of $50 to $99 an hour from $25,000 and states plainly that your team keeps technical leadership, source code and IP, which makes it engineering capacity instead of an agent owner. ASCN.AI publishes 100 or more agent templates from $30 a month and publishes no HQ, founding year, client name or third-party rating.
1. Outproduce, best for a B2B services company that wants one managed agent inside its existing tools
Category: managed AI employee operator.
Outproduce runs a managed AI employee for B2B services companies of 10 to 250 staff. The published roles are the AI sales rep, the AI support rep and the AI operations rep.
The agent works where the work already lives: your CRM, your shared inbox and your project tool. Your team reaches it by message, by call, or by forwarding it an email.
One monthly fee per engagement covers the build, the running, the monitoring, the fixes and the monthly extensions. Unlimited agents, unlimited model usage and all infrastructure sit inside that fee, with nothing metered on top. There is no public price, and the amount is set once the first role is scoped.
The approval model is published up front. Every consequential action waits for a named person by default: refunds above a limit, pricing, contract terms, deletions and account changes. You set that list while the role is scoped, and authority widens one action class at a time.
Outproduce is founder-led from Europe. Kristiāns Tiesnesis runs each engagement from the first process map to launch, and publishes five build records that each state who owns the system and what it does not prove. He is also a partner at AJC Groupe, a partner business running the same system, and every AJC figure on this page carries that label.

- Category
- Managed AI employee operator. Outproduce builds, runs, monitors and fixes the agent for one monthly fee source
- Published role types
- AI sales rep, AI support rep, AI operations rep source
- Public pricing
- None. One monthly fee per engagement, set once the first role is scoped, with unlimited agents, unlimited model usage and all infrastructure included source
- Published approval model
- Refunds above a limit, pricing, contract terms, deletions and account changes always wait for a named person source
- Published build records
- Five, each stating who owns the system and what it does not prove source
- Third-party review record
- No Clutch or G2 profile source
Trade-off. Outproduce publishes no price, has no Clutch or G2 profile, and has no paid install outcome to show yet, so the evidence on offer is first-party operating data and partner-business data.
Best suited for. A services firm of 10 to 250 staff that wants one recurring role covered with a named owner on each side and a monthly review. It fits buyers who would rather pay a recurring fee than staff an agent platform in house.
2. 41 Labs, best for a WhatsApp-led sales operation that wants one managed agent at a published price
Category: managed AI employee operator.
41 Labs is a productised agent firm headquartered in Singapore, founded in 2024 and banded by Clutch at 2 to 9 employees. Its founder and CEO is Alexander Lee, described on the site as a former operations leader who built and scaled 3 companies across Southeast Asia.
The flagship is 41 Closer, a managed WhatsApp sales agent. It answers enquiries, prices from the client catalogue, follows up leads, and hands the conversation to a human when it should.
It publishes the only monthly price in this set: "From $690 a month, fully managed by 41 Labs, and the build is included", with anything larger scoped after a discovery call and no hourly billing. Clutch separately records a company project minimum of $10,000, the most common project size at $10,000 to $49,999 across 3 reviews, and a lead generation project for a seafood distributor at $10,000 to $49,999 dated April 2026. The $690 managed subscription and the $10,000 project minimum cover different purchases.
Self-reported homepage numbers include a 19 second median first reply, 6 weeks from go-ahead to live, 12,868 SKUs priced live by one Closer, and about 50 AI projects delivered, with clients in Singapore, Bhutan and Bali. An estimated annual saving of $127,400 appears inside a calculator, so it is a model output. The Clutch profile shows 3 reviews, all dated 2026.

- Public pricing
- From $690 a month, fully managed, with the build included. Anything larger is scoped after a discovery call, with no hourly billing. The monthly subscription and the $10,000 Clutch project minimum cover different purchases source
- Clutch project sizes
- Minimum project size $10,000, most common $10,000 to $49,999 across 3 reviews, including a seafood distributor lead generation project at $10,000 to $49,999 dated April 2026 source
- HQ, founding year and size
- Singapore, founded 2024, Clutch band 2 to 9 employees source
- Self-reported numbers
- 19 second median first reply, 6 weeks from go-ahead to live, 12,868 SKUs priced live by one Closer, about 50 AI projects delivered, and a $127,400 annual saving produced by an on-site calculator source
- Third-party review record
- 3 Clutch reviews, all dated 2026 source
Trade-off. Founded in 2024, a team of 2 to 9, 3 Clutch reviews and an Asia-Pacific client base, so a European buyer gets a narrow single-channel product with little time-zone overlap.
Best suited for. A company whose sales conversations happen on WhatsApp and that wants one managed agent with the build included in the monthly fee. It fits a buyer who needs a published price for procurement.
3. NILG.AI, best for a European mid-market company that wants an AI consultancy with a data-science bench
Category: AI consultancy.
NILG.AI is an AI consultancy headquartered in Porto, Portugal, founded in 2018 and banded by Clutch at 10 to 49 employees. The practice covers machine learning, computer vision and natural language processing, and engagements start by finding where the business stalls before automating the repetitive work around it.
It also sells a packaged product it calls The AI Operating System for SMEs, covering marketing, sales, operations and HR on assisted autopilot, with human decisions kept at the judgment points. That is one of the few published approval models in this set, and it is the right instinct for agents with write access.
There is no price on the site. Clutch records a minimum project size of $5,000 and an average hourly rate of $50 to $99, a review summary citing around $10,000 for comprehensive AI solutions, and a most common project size under $10,000 across 5 reviews.
NILG.AI publishes a named client wall: 149Photos, Algar, Continental, HGreg, HoneyBook, IMP Diagnostics, Matador and Metro do Porto. Those names come without outcome figures, so ask for a reference running work comparable to yours. The Clutch profile is marked Premier Verified with 10 verified client reviews.

- HQ, founding year and size
- Porto, Portugal, founded 2018, Clutch band 10 to 49 employees source
- Clutch project sizes
- Minimum project size $5,000, average hourly rate $50 to $99, a review summary citing around $10,000 for comprehensive AI solutions, and a most common project size under $10,000 across 5 reviews source
- Published approval model
- The AI Operating System for SMEs covers marketing, sales, operations and HR on assisted autopilot, with human decisions kept at the judgment points source
- Named clients
- 149Photos, Algar, Continental, HGreg, HoneyBook, IMP Diagnostics, Matador and Metro do Porto, published without outcome figures source
- Third-party review record
- Clutch profile marked Premier Verified with 10 verified client reviews source
Trade-off. Engagements are scoped as consulting projects from $5,000 with most reviewed projects under $10,000, and no always-on operating fee is published, so agree in scope who runs the agent after delivery.
Best suited for. A European mid-market company that wants a real data-science bench and a recognisable client list behind the advice. It fits a buyer happy to scope a project first and decide separately who runs the result.
4. STX Next, best for a company that needs a large Python bench to build custom agents
Category: agent development shop.
STX Next is headquartered in Poznań, Poland, was founded in 2005, and is banded by Clutch at 250 to 999 employees. It describes itself as Europe’s largest Python-focused digital engineering partner, specialising in data, AI and cloud.
Delivery runs on a nearshore model from centres in Poland and Mexico. The published sectors are industrials, financial services, technology, energy and utilities, and healthcare. The company states that it guides AI work across industries in the US, UK, DACH and Poland, and that it is well suited to North American and Western European clients while adhering to local legislation, which matters when an agent touches personal data.
The price floor is public through Clutch: a minimum project size of $50,000, an average hourly rate of $50 to $99, and a most common project size of $50,000 to $199,999 across 61 reviews. The profile lists 101 reviews in total, of which 97 are marked verified.
STX Next does publish named client proof: its homepage states 14,000+ staff hours saved every year for Mattioli Woods, a vendor-reported figure read on 2026-10-16. It is also named second in scandiweb’s own ranking of agent development companies, described there as a Python-first agent builder. Scope the after-launch arrangement explicitly: a development firm can sell managed support, and a build price does not include it by default.

- Clutch minimum project size
- $50,000, average hourly rate $50 to $99, most common project size $50,000 to $199,999 across 61 reviews source
- Clutch review record
- 101 reviews listed in total, of which 97 are marked verified source
- HQ, founding year and size
- Poznań, Poland, founded 2005, Clutch band 250 to 999 employees source
- Delivery model
- Nearshore engineering from Poland and Mexico, covering data, AI and cloud, serving the US, UK, DACH and Poland source
- Client evidence
- 14,000+ staff hours saved every year for Mattioli Woods, vendor-reported on the homepage, read 2026-10-16 source
- Third-party ranking
- Named second as a Python-first agent builder in scandiweb’s ranking of agent development companies source
Trade-off. A $50,000 listed minimum and a project-shaped engagement, so agree in scope who monitors and repairs the agent after launch and what that support costs.
Best suited for. A company with internal technical leadership that needs a deep Python and data bench for custom agents. It fits European and North American buyers with a project budget and legislative requirements.
5. scandiweb, best for an eCommerce business buying agents from a long-established commerce engineering firm
Category: agent development shop.
scandiweb has been building commerce software since 2003 and is banded by Clutch at 250 to 999 employees. Its Clutch profile lists the location as New York, New York and records two locations.
The core practice is enterprise eCommerce development and consulting on Magento and Adobe Commerce, Salesforce Commerce Cloud, SAP Commerce Cloud, Shopify and BigCommerce. Its Clutch profile states that as a leader in AI for eCommerce the firm automates workflows, personalises experiences and supports faster data-backed decisions, and its own list article sells custom eCommerce agents. Partner badges include Adobe Gold Solution Partner and Hyvä platinum partner.
Clutch records a minimum project size of $25,000, an average hourly rate of $50 to $99, and a most common project size of $50,000 to $199,999 across 26 reviews. The Clutch profile read on 2026-10-16 shows 51 reviews, one of the deeper records in this category.
The company site publishes client work and case studies, and states 700 or more clients across 20 or more years, which is a vendor-reported figure. Clutch review summaries add work for a truck parts wholesaler and a retail company.

- Clutch minimum project size
- $25,000, average hourly rate $50 to $99, most common project size $50,000 to $199,999 across 26 reviews source
- Clutch review record
- 51 reviews on the Clutch profile read 2026-10-16 source
- Founded and size
- Building commerce software since 2003, Clutch band 250 to 999 employees, Clutch location New York, New York with two locations recorded source
- Platform practice
- Magento and Adobe Commerce, Salesforce Commerce Cloud, SAP Commerce Cloud, Shopify and BigCommerce, with Adobe Gold Solution Partner and Hyvä platinum partner badges source
- Client evidence
- Published client work and case studies, plus a vendor-reported 700 or more clients across 20 or more years source
- Own agent ranking
- Publishes its own ranking of AI agent development companies, naming STX Next second source
Trade-off. The practice is commerce-platform-first with a $25,000 minimum and most projects between $50,000 and $199,999, so a B2B services firm buying one role is not its native buyer.
Best suited for. An eCommerce business that wants agents built by an engineering firm with two decades of platform work and 51 client reviews on Clutch. It fits a buyer with a project budget and a merchandising or storefront use case.
6. Master of Code Global, best for a large brand buying multi-agent orchestration across enterprise systems
Category: agent development shop at enterprise scale.
Master of Code Global’s about page, read on 2026-10-16, publishes a 2004 founding, a global team of 150 or more it calls Masters, 1,000 or more projects delivered, and teams across the USA, Canada, Poland and Ukraine, so European delivery exists alongside North American sales.
The about page read on 2026-10-16 displayed 1,000 projects delivered, a Net Promoter Score of 82, a 4.7 out of 5 Clutch rating and ISO 27001 certification. Those figures are published on the company’s own website, so they are vendor-reported.
The company describes consulting-led AI engineering, from choosing an approach through implementation. Its company timeline covers web and mobile software, rule-based chatbots and later agentic AI.
Its published agent offer includes human approval and guardrails where the work requires them, so the approval principle is on the record. Those are delivery-framework checkpoints rather than a promise that every deployed action waits for a person, so agree the exact action list inside your project. Project pricing requires a quote. The 4.7 out of 5 rating is a figure its own website displays, which is a different thing from an independently verified score, and no review count is stated here.

- Published company facts
- Founded 2004, a global team of 150 or more, 1,000 or more projects delivered, and teams in the USA, Canada, Poland and Ukraine, read 2026-10-16 source
- Self-reported scale
- 1,000 projects delivered, a Net Promoter Score of 82 and ISO 27001 certification, read 2026-10-16 source
- Published approval model
- Publishes human approval and guardrails for its agents, with the per-action list agreed inside a project source
- Public pricing
- None published anywhere on the site source
- Third-party review record
- 4.7 out of 5 Clutch rating displayed on the company about page, read 2026-10-16; a figure the vendor site displays, with no independent count stated here source
Trade-off. An enterprise project shape with no published price and vendor-reported headline figures, so agree the support and monitoring terms in writing before delivery.
Best suited for. A large brand with a conversational programme that needs deep CRM, ERP and internal API work from a big bench. It fits an organisation with a procurement process and an internal owner for the finished system.
7. Neurons Lab, best for an enterprise or regulated organisation buying agent transformation at six figures
Category: AI consultancy.
Neurons Lab has operated since 2019, and its Clutch profile records the same founding year and bands the firm at 50 to 249 employees. Its about page, read on 2026-10-16, focuses on financial services and describes 50 or more AI engineers, architects and analysts across Europe, with 100 or more AI implementations delivered since 2019.
The positioning is leadership alignment plus technology integration, delivered as AI-exclusive consulting. Neurons Lab holds AWS Advanced Partner status and the AWS Generative AI competency, which matters if your agents must run inside an existing AWS estate.
The published price floor is the highest in this set. Clutch records a minimum project size of $100,000, an undisclosed hourly rate, a review summary stating projects cost between $20,000 and $300,000, and a most common project size of $200,000 to $999,999 across 4 reviews. The profile shows 5 reviews in total.
The site describes work with Fortune 500 companies and governmental organisations alongside that financial services focus. Those are vendor-reported descriptions, so ask for a reference running work comparable to yours.

- Clutch minimum project size
- $100,000, hourly rate undisclosed, a review summary stating projects cost between $20,000 and $300,000, most common project size $200,000 to $999,999 across 4 reviews source
- Clutch review record
- 5 reviews in total on the Clutch profile source
- Founded and size
- Operating since 2019, Clutch band 50 to 249 employees, and an about page describing 50 or more AI engineers, architects and analysts across Europe source
- Cloud credentials
- AWS Advanced Partner status and the AWS Generative AI competency source
- Client evidence
- States 100 or more AI implementations since 2019, with Fortune 500 and governmental clients described but not itemised source
Trade-off. A $100,000 published entry point and 5 Clutch reviews, so confirm the scope warrants that budget before treating it as a candidate for one recurring role.
Best suited for. A financial services or similarly regulated organisation that needs agent strategy alongside AWS-grade delivery and governance. It fits a programme budget with six-figure project sizes.
How do these options compare side by side?
The Side-by-Side Comparison below puts the buying questions in one view: category, where the agent works, the published price floor, the published approval stance, the third-party review record read on 2026-10-16, and who operates the agent after launch. Agree hosting, code ownership and support in the contract.
| Firm | Category | Where it works | Published price floor | Approval stance | Review record 2026-10-16 | Operates it after launch |
|---|---|---|---|---|---|---|
| Outproduce | Managed AI employee operator | Your CRM, shared inbox and project tool; your accounts | None. One monthly fee per engagement, unlimited agents, model usage and infrastructure included | Yes. Consequential actions wait for a named person | No Clutch or G2 profile | Outproduce, with a monthly review |
| 41 Labs | Managed AI employee operator | WhatsApp sales conversations through the managed 41 Closer product | From $690 a month, build included. Clutch minimum $10,000 | Partly. Publishes hand-off to a human | 3 Clutch reviews, all dated 2026 | 41 Labs |
| NILG.AI | AI consultancy | Marketing, sales, operations and HR workflows, scoped per engagement | None on site. Clutch minimum $5,000, $50 to $99 per hour | Yes. Human decisions at the judgment points | Premier Verified, 10 verified reviews | Agree in scope: no operating fee is published |
| STX Next | Agent development shop | Custom Python, data and cloud builds, delivered from Poland and Mexico | None on site. Clutch minimum $50,000, $50 to $99 per hour | Agree in scope: which actions need a named person | 101 reviews listed, 97 marked verified | Agree in scope: who monitors and repairs after handover |
| scandiweb | Agent development shop | Commerce platforms including Adobe Commerce, Salesforce, SAP, Shopify and BigCommerce | None on site. Clutch minimum $25,000, $50 to $99 per hour | Agree in scope: which actions need a named person | 51 Clutch reviews, read 2026-10-16 | Agree in scope: who monitors and repairs after handover |
| Master of Code Global | Agent development shop, enterprise scale | Your CRM, ERP and internal APIs, plus conversational channels | None published | Publishes human approval and guardrails; agree the action list | 4.7/5 displayed on its own website; no independent count stated | Agree in scope: support and monitoring terms in writing |
| Neurons Lab | AI consultancy | Financial services workflows; deployment and system access agreed per project | None on site. Clutch minimum $100,000 | Agree in scope: which actions need a named person | 5 Clutch reviews | Agree in scope: whether delivery includes operating the agent |
Which AI agent agency fits your use case
Match your situation, the agent you need and the budget shape. All three inputs move the answer, and no firm here wins every row.
| Your situation | The agent you need | Budget shape | Best option |
|---|---|---|---|
| B2B services firm, 10 to 250 staff, no in-house engineers | One recurring role covered inside your CRM, inbox and project tool | Recurring monthly fee, no six-figure project | Outproduce |
| Sales happen on WhatsApp, catalogue pricing matters | A managed sales agent that quotes and follows up | From $690 a month with the build included | 41 Labs |
| European mid-market company with data already in place | Machine learning, computer vision or NLP scoped as a project | $5,000 to about $10,000 for a first project | NILG.AI |
| Has a CTO and wants to own the codebase | Custom agents built by a senior Python and data bench | From $50,000, $50 to $99 per hour | STX Next |
| eCommerce business on Adobe Commerce, Shopify or SAP | Storefront and merchandising agents on a commerce platform | From $25,000, most projects $50,000 to $199,999 | scandiweb |
| Large brand with CRM, ERP and internal API requirements | Multi-agent orchestration across enterprise systems | Enterprise project, unpublished | Master of Code Global |
| Financial services or regulated organisation on AWS | Agent strategy plus governed delivery in your cloud estate | $100,000 or more | Neurons Lab |
How do you choose the right AI agent agency? The Day-31 Audit, in three questions
The Outproduce Day-31 Audit asks what is true on the thirty-first day, after the build excitement is gone: who operates it on day 31, what it can do without asking, and what proof you can verify in ten minutes. Ask these three questions in this order. A wrong answer to the first makes the other two irrelevant.
- Day-31 Audit, question 1Who operates the agent on day 31?
If the answer is your team, you are buying an engineering project plus an internal operator, so budget for the operator. A development or consulting firm can also sell ongoing support, so ask for that in writing instead of assuming either answer. If the answer is the vendor, ask for the named person, the review cadence, and what happens when an integration changes on a Saturday. Outproduce answers with a named owner and a monthly performance review.
- Day-31 Audit, question 2What can the agent do without asking?
Make the firm show the list of actions that always wait for a person, in writing, before anything goes live. At Outproduce that list is set while the role is scoped and includes refunds above a limit, pricing, contract terms, deletions and account changes, with authority widening one action class at a time once accuracy has held. NILG.AI publishes the same principle as human decisions at the judgment points, 41 Labs publishes a hand-off to a human, and Master of Code Global publishes human approval and guardrails for its agents. Where a firm has no public per-action list, agree one in scope before go-live rather than accepting unbounded write access.
- Day-31 Audit, question 3What proof can you verify in ten minutes?
Confirm the current score and count on the review profile before buying. NILG.AI publishes eight named clients without outcome figures, STX Next publishes a vendor-reported 14,000+ staff hours saved every year for Mattioli Woods and lists 101 Clutch reviews of which 97 are marked verified, and scandiweb shows 51. Ask for a system running today, its go-live date and what it did last week.
How is an AI agent development company different from an AI agent agency?
An AI agent development company sells the build. An AI agent agency, in the way buyers use the phrase, sells the build plus the running of it. The distinction has commercial consequences: a development company can finish when the acceptance test passes unless support is contracted, and an operator keeps answering for the agent’s output next quarter.
The search data shows which phrase buyers actually type. "ai agent development company" draws 720 searches a month in the United States, far ahead of "ai agent agency" at 70 and "top ai agent companies" at 110. The volume sits with the build phrasing, and the pages ranking for it are dominated by engineering firms and platform directories, including Gartner’s AI agent development platforms market page.
So when you compare top AI agent companies, read each one’s category first. scandiweb, STX Next and Master of Code Global are development companies with published engineering teams. Clutch lists project minimums for scandiweb and STX Next; Master of Code quotes on request. NILG.AI and Neurons Lab are consultancies with published advisory scope and project price bands. Outproduce and 41 Labs are operators with a recurring fee shape and an after-launch responsibility.
A development company is the right purchase when you employ engineers, own a roadmap and want the intellectual property. An operator is the right purchase when nobody on your payroll wants to be paged about an agent at 9pm on a Saturday. Buying the first while needing the second is the expensive mistake in this category, and the fix is one line in the contract naming who operates the agent.
What the results below are, and what they are not
Outproduce has no paid install outcome to publish yet, and saying so is part of the method. What exists is first-party operating data from Outproduce-owned systems and from AJC Groupe, a partner business running the same system. Each figure below is a system result with an internal source, and none is a client revenue claim. The full build records, each stating who owns the system and what it does not prove, are published at outproduce.io/build-records.
What do results look like?
AJC Groupe, a partner business running the same system
A weekly ad account review reconciled to the row
- EUR 1,310.56 spent for 5 to 11 October, 36 leads, EUR 36.40 cost per lead, averaging 5.14 leads a day
- 76 campaign ads and 147 daily insight rows enumerated
- Ad-level sums matched campaign and account spend and all 36 leads exactly
- Previous week compared at EUR 26.77 per lead
- No ad, budget, CRM record or tracking changed
On 2026-10-12 the agent produced a read-only review of one live Meta account for 5 to 11 October: EUR 1,310.56 spent, 36 leads, a EUR 36.40 cost per lead, averaging 5.14 leads a day. It enumerated 76 campaign ads and 147 daily insight rows, and the ad-level sums matched campaign and account spend and all 36 leads exactly. It changed no ad, no budget, no CRM record and no tracking. These are historical observations for one week on one account; the useful part is a complete set of numbers that tie out, plus the previous week at EUR 26.77 per lead, before anyone proposed an edit.
Basis: Outproduce evidence appendix: AJC Groupe weekly ad account review, 2026-10-12
AJC Groupe, a partner business running the same system
A lead intake check that named its own gap
- 35 stored paid leads against 36 submissions recorded by Meta
- 15 of them booked
- 1 intake missing and reported rather than rounded away
The same review compared the CRM side against the ad platform for that week: 35 stored paid leads against 36 submissions recorded by Meta, with 15 of them booked. Those counts came from a saved handoff inside the review rather than a fresh live database check, no lead was confirmed sold, and nothing in the run speaks to lead quality. One intake was missing and the system reported it instead of rounding the two counts together, and that single unresolved record is the output a person can act on.
Basis: Outproduce evidence appendix: AJC Groupe lead intake check, 2026-10-12
Outproduce first-party
Original research on how AI answer engines cite sources
- 95 answers captured from 40 question prompts, split 40 Perplexity, 40 Google AI Mode, 15 ChatGPT
- Outproduce named in 2 of those answers, both brand queries, and the site cited in 1
- linkedin.com cited in 33 answers, youtube.com in 24, reddit.com in 21
- clutch.co cited in 3 answers
On 2026-09-24 Outproduce captured 95 answers from 40 question prompts across Perplexity, Google AI Mode and ChatGPT, with the ChatGPT run covering a vendor and brand subset of those prompts. Outproduce was named in 2 of the 95 answers, both brand queries, and the site itself was cited in 1, which is the honest starting baseline for this programme. Across the same answers linkedin.com was cited in 33, youtube.com in 24, reddit.com in 21 and clutch.co in 3. One run per prompt and unequal engine samples, so these are counts from one baseline run and not a ranking of the engines. That result is why this page cites a source for every number and names its own gaps.
Basis: Outproduce evidence write-up: AI answer baseline, 2026-09-24
Frequently asked questions
What does an AI agent agency cost in 2026?
Published floors among the seven firms here run from $690 a month at 41 Labs and a $5,000 project minimum at NILG.AI up to $100,000 at Neurons Lab, with scandiweb at $25,000 and STX Next at $50,000. A monthly managed fee and a Clutch project minimum cover different purchases, so compare them separately. Outproduce charges one monthly fee per engagement with no public price, covering the build, the running, the fixes and the monthly extensions, including unlimited agents, unlimited model usage and all infrastructure. The amount is set once the first role is scoped.
How do you tell a real AI agent agency from a reseller?
Ask which agent it currently operates, when that agent went live, and who answers when it breaks. Ask whether the build sits on general workflow tools or in custom code, and expect a straight answer either way. Then open the Clutch profile yourself and read the reviews instead of the badge.
How long does it take to get an AI agent live?
It depends on the role and the number of systems it touches. Outproduce agrees a go-live date while the role is being scoped, so the timeline is fixed before any build starts. For comparison, 41 Labs publishes 6 weeks from go-ahead to live for its WhatsApp agent.
What should an AI agent never do without human approval?
Anything that moves money, changes a commercial commitment or destroys data. At Outproduce that default list covers refunds above a limit, pricing, contract terms, deletions and account changes, and authority widens one action class at a time once accuracy has held. Any firm without a written list here is asking you to accept unbounded write access.
How is a managed AI employee different from hiring an AI agent development company?
A development company usually delivers an agent and hands it over, which leaves monitoring, repair and the accuracy review with you unless you contract support separately. A managed AI employee stays the vendor’s responsibility after launch, under one recurring fee. The first suits companies with engineers on payroll, and the second suits companies without them.
What happens after you book a call with Outproduce?
The 20-minute call ends with a fit review, a request for specific information or a recommendation against a build. An assessment is optional and depends on the engagement, with its terms agreed before it starts. If we go ahead, both sides agree the written scope and acceptance test before engineering starts.
What happens in the first month after launch?
Outproduce answers with a named owner and a monthly performance review, so the first month runs under review rather than unattended. Anything consequential still waits for a named person, including refunds above a limit, pricing, contract terms, deletions and account changes. Authority widens one action class at a time once accuracy has held.
How do you add a second role later?
One monthly fee per engagement covers the build, the running, the fixes and the monthly extensions, so a second role arrives as a monthly extension rather than a separate project. The fee is one monthly amount per engagement, set when the first role is scoped. The approval list and the named owner are set the same way while the new role is scoped.
Get a free AI employee audit from Outproduce
Bring the one job that keeps landing back on your desk.
We will tell you whether it is stable enough to hand to an agent, and we will say no when that is the honest answer.
You will leave with the role defined, the systems it would touch, and the written list of actions that would always wait for a person.
There is no price to negotiate on the call, because the fee is one monthly amount set once the role is scoped.
If you want to test our standard of proof first, read the build records, including the part where each one states what it does not prove.
When you are ready, book a 20-minute AI employee call and bring one process with you.
Sources
- scandiweb
- scandiweb, about page
- scandiweb, Clutch profile
- scandiweb, ranking of AI agent development companies
- STX Next
- STX Next, about page
- STX Next, Clutch profile
- NILG.AI
- NILG.AI, Clutch profile
- Neurons Lab, about page
- Neurons Lab, Clutch profile
- Master of Code Global, about page
- Master of Code Global, Clutch profile
- 41 Labs
- 41 Labs, Clutch profile
- Uvik Software, about page
- ASCN.AI
- Gartner AI agent development platforms market page
- Outproduce AI employee offer page
- Outproduce build records
- Outproduce booking page
- AJC Groupe weekly ad account review and lead intake check, 5 to 11 October 2026, published evidence appendix
- Outproduce AI answer baseline, 95 answers from 40 question prompts across Perplexity, Google AI Mode and ChatGPT, 2026-09-24, published evidence write-up
