AI acceleration for mid-market companies

Become an
AI-native business.

Recurring work is absorbing capacity you already pay for, and it grows as you grow. We build agents for that work one at a time, run them in your own cloud, and make them better every month. Your people approve what matters, and everything keeps running if we ever part ways.

AIHumanImpact
The problem

AI is easy to try and hard to put to work.

Your teams have tried the tools, and a pilot may have impressed in a demo. Meanwhile the recurring work keeps running on people, absorbing capacity you already pay for and growing as you grow. Putting AI to work changes who does that work.

Today
  • Email
  • CRM
  • Docs
  • Sheets
  • Slack
  • Calls

20+ hrs

of human glue every week

Six tools, tribal knowledge, and people copying between them to keep the work moving.

With AI agents
  1. 01Sources come in
  2. 02Agent does the work
  3. 03A person approves
  4. 04Written back

Daily

with approval where it matters

Same output, same approvals, same people accountable. The agent prepares the work and a person signs off before anything goes out.

Illustrative example of one recurring workflow.

What becomes possible

AI that changes what your business can do.

Put your knowledge to work

People and agents get answers grounded in your documents, policies, and records, with sources they can check.

  • Internal knowledge assistants
  • Policy and eligibility research
  • Project information retrieval

Take on complex work

Agents research, prepare, and carry out multi-step work across your systems, with people approving what matters.

  • Account research and outreach
  • Document review
  • Proposal preparation

Offer new products and services

AI built into the products and tools your customers and employees use, from search to decision support.

  • AI features in existing software
  • Research applications
  • Decision support
How it works

Three steps from priority to production.

Every agent runs in your systems, with a person approving at the points that matter.

  1. 1

    Show us the work

    Describe one piece of recurring work. We come back with a plan for your first agent: what it does, what we measure, and how it goes live.

  2. 2

    Launch and prove

    Your first agent is live in four weeks and proven in eight, against a baseline we set with you in the first month.

  3. 3

    Run and expand

    A named Metacto lead runs what is live, improves it from your team's corrections, and adds the next agent as each one proves itself.

Controls built in, not added later.

Getting an agent live is the first milestone. After that, it runs like any other part of the business: you know what it costs, you check the quality of its work every week, you decide what it's allowed to do alone, and you can see what it did and why.

Illustrative architecture: one proposal-preparation agent and its control points
  1. 1RequestA request arrives with its documents
  2. 2Context retrievalRecords and rules pulled with sources
  3. 3Agent proposes a stepA draft, a check, or a tool action
  4. 4Control pointPermission checkEnforced before every tool action
  5. 5Person decidesHuman approvalRequired before sending or submitting
  6. 6Action and write-backResults written to your systems, with a trace
  • Runtime checksMissing information or a failed action stops the run and routes it to a person.
  • Ongoing evaluationReal test cases run on every change to prompts, models, or context.
  • TracesEvery step and source is recorded for review.
What you keep

You keep the work.We stay responsible for the system.

Your AI foundation, in your cloud, on any model. We're not tied to any one AI lab: we build on the models that fit your work, inside your systems, and stay accountable for how they perform long after launch.

  • Your data

    Stays in your environment, under your access controls.

  • Your decisions

    You set what an agent does on its own and what comes to a person first.

  • Your systems

    Everything runs in your accounts, with AI usage at cost. If we stopped tomorrow, it keeps running.

  • Our responsibility

    Monitoring, evaluation and improvement after launch, with a named owner.

No lock-in, no black box, and no requirement to replace tools your team already knows.

See how Managed Operations works
Resources

Learn what works before you build.

Guides, blogs and conversations from the team doing the work.

Visit the Resource Center
Start here

What could AI do
for your business?

Bring a business priority, a product idea, or an AI initiative that needs help. In 45 minutes, you leave with a practical next step.

Tell us what you want to make possible.

A priority, a product idea, or an initiative already underway.

Submit your details, then choose a time on the next screen.

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45 minutes
No prep required
A practical next step