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AI Workflows

AI wired into the work, not bolted onto it.

We map how a process actually runs, automate the steps a model can genuinely own, and ship it into your production systems with a human in the loop where judgment belongs.

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01Offers

What we build

Six patterns, built the same way each time. Each one starts from a process you already run and ends inside your production systems.

01

Document and intake automation

Contracts, claims, invoices, and applications: extracted, validated, routed, and exception-flagged instead of retyped.

02

Support and service workflows

Triage, draft, and resolve the repetitive tier of tickets and inbound requests, with clean escalation to a person.

03

Internal knowledge and retrieval

A grounded answer layer over your policies, contracts, and documentation, with citations, access controls, and no invented facts.

04

Agentic back-office operations

Multi-step processes that run end to end across your tools, with checkpoints, audit trails, and rollback.

05

Data and reporting pipelines

Get the numbers out of the systems and into a form people actually use, refreshed, validated, and monitored.

06

AI enablement for your team

Standards, guardrails, evaluation harnesses, and training so your own engineers can build the next one without us.

02Method

The method, in depth

Four steps, on every engagement, with what happens, what you get, and what we need from you. A timing is stated only where we commit to it up front; the rest are scoped in writing before that step begins.

  1. 01

    Map

    Two weeks, on your systems. We document the process as it really runs, not as the SOP says it does, and put hours and cost against every step.

    What happens
    We sit with the people who do the work, trace every handoff, and record where the time and the rework actually go.
    What you get
    A written process map, a cost-per-step model, and a shortlist of the steps a model can genuinely own.
    How long
    2 weeks.
    What we need
    Access to the people who run the process, read access to the systems it touches, and one person who can decide.
  2. 02

    Prove

    We build the narrowest useful thing and run it against real work. If it does not hold up, you find out in weeks, not quarters.

    What happens
    One workflow, one path, real inputs. We measure it against how the process performs today, not against a benchmark.
    What you get
    A working version, the evaluation results behind it, and a straight recommendation, including the recommendation to stop.
    What we need
    A sample of real work, and someone to judge the output who does the job today.
  3. 03

    Ship

    Into production, inside your stack, with monitoring, fallbacks, and a human escalation path. Documented so your team can own it.

    What happens
    We wire the workflow into your systems of record, add monitoring and a rollback path, and run it alongside the current process before it takes over.
    What you get
    The workflow in production, the code in your repository, runbooks, and a working session with your team.
    What we need
    A deployment path, a named owner for exceptions, and a decision on the cutover date.
  4. 04

    Run

    We operate it, staff it, or hand it over. Your call.

    What happens
    Three shapes: we run it, we place the people who run it, or we hand it to your team and step back.
    What you get
    A support arrangement in writing, with a named point of contact and a defined response path.
    What we need
    A decision on which shape you want, taken before the cutover rather than after it.

03Data handling

How we handle your data

This is a commitment, not fine print. Every value below is confirmed in writing before it is published, and nothing is published before it is confirmed.

Pending reviewThese are confirmed in writing before they are published. Ask and we will send the current position.

  • Where data is processed
  • Training on client data
  • Access controls
  • Retention and deletion
  • Named subprocessors

04Stack

Stack and integrations

We list the platforms and models we actually work with, and nothing else. A short honest list is worth more than a padded one, and trademark rules apply to every name on it.

Platform and model list pending review

05Questions

Common questions

How long before we see something real?

Map runs 2 weeks on your systems, and Prove starts straight after it. That means you are judging a working version against real work rather than watching a demo. If it does not hold up, you find out in weeks, not quarters.

What if our data cannot leave our environment?

Tell us in the first conversation, because that constraint shapes the architecture rather than the timeline. We scope the workflow around where your data is allowed to live, and the specific commitments go into the agreement in writing before any work starts.

Do you replace our team or work with it?

We work with it. Every engagement is built so your engineers can own what we ship, which is why documentation, standards, and an evaluation harness are part of the delivery rather than an add-on. Where you would rather we kept running it, we can staff that instead.

What happens when the model gets it wrong?

We assume it will, so the exception path is designed first. Low-confidence output is flagged rather than committed, steps a model cannot own route to a person, and every run leaves an audit trail you can inspect. Monitoring and a rollback path ship with the workflow, not after it.

How do you price this?

Engagements are papered as a master services agreement with a statement of work for each phase, so scope and price are agreed in writing before that phase starts. Pricing is a blended rate that reflects US-based leadership on top of global delivery capacity. We do not publish a rate card.

What do you need from us to start?

A process worth fixing, one person who owns it, and read access to the systems it runs through. Map does the rest, and we put what we need in writing before it begins.

Who owns the IP?

Ownership is settled in the master services agreement before any work starts, and we will not begin a build while it is still open. Whatever is agreed there is what applies to the code, the prompts, the evaluations, and the documentation alike.

Can you staff the roles to run it afterward?

Yes, and that is the reason both halves of the firm exist. The team that builds the workflow and the people who operate it come from one contract with one point of accountability, so there is no handoff cliff between building it and running it.

See the roles we fill

Start with a 30-minute conversation

No deck. We’ll ask what’s slow, what’s manual, and what you’ve already tried, then tell you honestly whether we’re the right fit.

Request a discovery call