Outproduce

Introducing Outproduce Workers

The work that always comes back to you. Handled.

Outproduce builds and runs dedicated AI workers that learn your business, do the recurring work inside your tools, and ask before doing anything risky.

  • Built on your business
  • Run and fixed monthly
  • New work handed over each month

Included with every worker

Nothing metered, nothing to host, nothing to patch. You bring the work.

One request, run live

Give it the work you would give a person.

Message it, call it, forward it an email. It works across your tools the way a real employee does, and if a job needs something it has not done before, it works that out too. Six examples below. The list is not the limit.

AI operations repOnline
Voice note

Want a worker like this on one of your roles?20 minutes. Bring the job that keeps coming back to you.
Book a 20-minute call

Why this exists

Most teams do not need more software. They need another worker.

We build one AI worker for one job, connect it to your tools, and stay responsible for how it performs.

01

Hiring takes months. The backlog does not wait.

Recruiting, onboarding and training a new rep takes weeks before they clear a single ticket. The queue keeps growing in the meantime.

02

A chatbot answers questions. It does not do the work.

It cannot update the CRM, route a ticket or chase a follow-up, and nobody fixes it when it is wrong.

03

Your best people are stuck on copy and paste.

Hours a week go to the same replies, the same data entry, the same status updates.

The comparison

How a managed role compares to a traditional hire.

Four views of the same difference: hours covered, time to productive, what happens when volume grows, and the honest trade-offs.

01Hours covered per week
Human employee40 of 168 hours
Before leave, sick days and meetings
AI employee168 of 168 hours
A person on call for exceptions

WorkingLunch, meetingsNobody thereIllustrative

02Time to productive
Human employee
  1. Advertise and interview
  2. Notice period
  3. Onboarding
  4. Productive
Typically a quarter, often more
AI employee
  1. Scope the role
  2. Build and connect
  3. Run on real items under review
  4. Live
Go-live date agreed at scoping
03What happens when volume doubles

One monthly fee, whatever the volume. Model usage and infrastructure are included.

04Side by side
DimensionHuman employeeOutproduce AI employee
Nights and weekendsNot availableAlready working
Ramp-upWeeks of onboardingBuilt and deployed by Outproduce
ConsistencyVaries by person and workloadSame rules and answers every time
Sick days and holidaysYesNo
Needs managingInternal manager timeMinimal. Outproduce handles most of it
Twice the volumeHire another personNo additional headcount
When they leaveThe knowledge leaves with themEvery file, rule and config stays yours
Judgment callsTheirs, on the spotAlways a person on your side, by rule
Novel situationsHandles themStops and hands over with context

This is not a claim that AI replaces every person. It is a better operating model for narrow, repetitive, process-driven work. The last two rows are the honest trade: judgment and novelty stay with people, by design.

Not sure if a worker fits your work yet?We will tell you straight on the call, including if it does not.
Book a 20-minute call

Role types

Start with one managed AI employee.

The strongest deployments begin with a single role that has clear boundaries, measurable output, and enough repeated work to justify continuous operation.

Role

AI sales rep

A lead fills your form late at night. It is qualified, enriched and in your CRM with a follow-up sent before morning.

  1. 1Form or inbox
  2. 2Qualify and enrich
  3. 3CRM and follow-up

For repetitive lead qualification, follow-ups, CRM updates and prospect research that should not depend on someone being online.

  • Inbound qualification
  • Lead enrichment from approved sources
  • CRM updates and follow-up routing
Most common start

AI support rep

The same questions get answered from your docs instantly. Edge cases go to your team with the context attached.

  1. 1Ticket or chat
  2. 2Answer from docs
  3. 3Resolve or escalate

It answers standard requests from your knowledge sources, escalates anything unusual, and keeps your team on the harder tickets.

  • Customer response handling
  • Knowledge-based replies
  • Escalation and ticket triage
Role

AI operations rep

Inputs collected, data moved between systems, status updates sent, without someone babysitting spreadsheets.

  1. 1Inputs
  2. 2Move between tools
  3. 3Status report

For admin-heavy teams that need inputs collected, data moved between systems, actions triggered and status updates generated around the clock.

  • Internal process execution
  • Status reporting
  • Multi-tool workflow coordination
Pick the role that eats the most of your week.We scope it with you and show what it takes to run.
Book a 20-minute call

Handoff

What happens when it is not sure.

Low confidence or a policy rule sends the case to the person you choose, with the full conversation. The answer then goes into its knowledge so the same case is handled next time.

What happens when it is not sureIllustrative
  1. 1
    Request arrivesTicket, chat, form or email
  2. 2
    AI employee handles itAnswers, routes or updates systems inside its rules
  3. 3
    Answer added to knowledgeThe same case is handled next time

Hosting

Nothing for you to host.

Default

Outproduce runs it

Runs in
Infrastructure Outproduce hosts, monitors and pays for
You handle
Nothing. No servers, no model accounts, no usage bills
Your data
Stays in your own tools; the worker connects to them
On request

Inside your own cloud

Runs in
Your accounts, if compliance requires it
You handle
Granting access. Outproduce still builds, runs and maintains it
Fee
Same one monthly fee

Managed model

We do not just build the role. We manage it.

Every month we review its conversations, fix wrong answers, update its knowledge when your products or policies change, and report what it handled.

Included

  • Unlimited agents, unlimited tokens, all infrastructure, handled by Outproduce
  • Role-specific design instead of a generic chatbot
  • Connected to your actual tools and workflows
  • Monitoring, tuning and performance review every month
  • Human review paths for edge cases and exceptions
  • A clear path from one AI employee to the next role

Stays with your team

  • Policy and the list of consequential actions
  • Approvals on anything outside the rules
  • Source truth for products and pricing
  • The decision to widen what it may do

Mission control

See what it did, change its rules, take over any case.

You see every conversation and action it took, can change its rules, and can take over any case. We scope the dashboard together with the role.

  1. 1Live visibility into current conversations, tasks and workflow status
  2. 2Controls for escalation rules, prompts and operating boundaries
  3. 3Review logs and performance trends
  4. 4One interface for one role or several
AI support rep · todayLive
Handled0
With your team0
Median reply41s
Conversations
    Rules
    • Escalate refunds above limit
    • Reply outside business hours
    • Offer discount codes
    Handled against escalated
    0 handled · 0 escalated

    Illustrative Example dashboard built from your role’s data.

    How it runs

    Start with one job. Add the next once the numbers prove it.

    1. 01

      Choose the role

      One narrow business function with clear inputs, actions, escalation paths and success criteria.

      One job, clear limits
    2. 02

      Build the employee

      We connect the systems, set up the logic around your workflow, and give the role its boundaries and operating rules.

      Connected to your tools
    3. 03

      Manage performance

      We monitor behaviour, review output quality, tune prompts and rules, and keep the employee useful instead of stale.

      Monthly review
    4. 04

      Expand capacity

      Once one AI employee proves its value, we add adjacent roles or extend the same role across a larger workflow.

      Next role when the numbers prove it
    Start with one job this month.Book the call, then we map the first role together.
    Book a 20-minute call

    Questions before you commit to the model.

    What is a managed AI employee?

    A role-specific AI system that performs one recurring business function inside your workflow, with Outproduce handling implementation, management and ongoing improvement. One role, one job, clear limits.

    Is this just a chatbot?

    No. The role is built around execution inside tools and workflows, not conversation. It reads inputs, makes bounded decisions, updates systems, and escalates when needed.

    What happens when it does not know the answer?

    It hands the case to the person you choose, with the full conversation, and we add the missing answer to its knowledge so the same case is handled next time.

    What always waits for a person?

    Anything consequential: refunds above a limit, pricing, contract terms, deletions, account changes. You set the list when we scope the role. It can be loosened later, one action class at a time, once accuracy has held.

    How long until it is live?

    It depends on the role and how many tools it connects to. We agree a go-live date when we scope the role, so you know the timeline before the build starts.

    Do we need a large company for this to work?

    No. Smaller teams often benefit faster, because one managed AI employee can remove a meaningful share of repetitive operational work.

    What does it cost?

    One monthly fee per engagement. It covers the build, the running, the fixes and the monthly extensions, and it includes unlimited agents, unlimited model usage and all infrastructure. Nothing is metered on top. There are no public prices; the fee is set when the first role is scoped.

    Where does it run?

    In your own cloud and accounts, or in a stack Outproduce hosts for you. Either way the files, rules and configuration are yours.

    Before you decide

    What else should you read before deciding?

    20-minute call

    Bring the job that keeps coming back to you.

    A working call, not a pitch. In 20 minutes we pick the one piece of work that costs your team the most hours, tell you plainly whether a worker can take it and what setting it up would involve, and you leave with a clear next step, with us or without us. Bring one process that feels slow or manual. You talk to the person who would build it, not a salesperson.

    Format
    20 minutes, Google Meet
    You leave with
    A yes, a no, or a scoped first role: what it does, what it may not do, and what it needs access to
    Bring
    One example of the work: an email thread, a form, a spreadsheet, a screenshot. And the tools it lives in.
    Included if we go ahead
    Unlimited agents, unlimited tokens, all infrastructure. One monthly fee.
    Commitment
    None. Nothing is set up until you say so.

    What happens on the call

    1. 01
      Walk through the workWhere it comes from, which tools it touches, where it breaks.
    2. 02
      What the worker would ownThe steps it handles alone, and the ones that wait for a person.
    3. 03
      Fit and next stepYes with a scope, or a plain no.
    1Pick a time2Confirm