Products · Pricing

Start free. Pay when it is your workflow.

Try both studios free to see how approved business meaning makes AI dependable. When you want one of your own workflows built properly, the first paid step is a fixed-fee engagement on those same studios. Further workflows run on a monthly retainer. Our other offerings, including fractional leadership, are scoped and priced in their own proposals.

See it work

Try

Free during the beta

  • Three five-minute demos on a synthetic insurer, no sign-in.
  • Ontology Studio: define the terms your AI needs, on any topic.
  • Workflow Studio: build and test a workflow on approved terms. We approve each access request.
  • Your own AI key, with a monthly spending cap you set. Your provider bills you for its use.
  • Synthetic or approved, non-sensitive documents only. No service-level commitment.

The paid starting point

First workflow

Fixed fee, quoted in writing after a free working session

  • One workflow chosen with your owner, with a measured baseline.
  • Its business terms defined and approved in Ontology Studio.
  • The workflow built in Workflow Studio and tested on saved cases drawn from your documents.
  • A named reviewer on every result and an evidence record for each run.
  • Three to four weeks, ending in your decision: release it, extend it or stop.

Keep going

Run

Monthly retainer, stated in a written proposal before you commit

  • More workflows on the same approved terms.
  • The workflow taken onto live data in your own environment, with your controls.
  • Studio support and training for the team that will run it.

Every fee is stated in a written proposal before you commit, and nothing is billed until you sign. The first conversation is free.

The first workflow, week by week

One workflow, built with your team, on tools you can keep using.

The studios make the work visible: you can see the approved terms, every step and each reviewer’s decision, and your team can keep working in them afterward.

Week 1

Choose and define

Agree the workflow, its owner and today’s baseline. Draft its business terms in Ontology Studio and review each definition against its source with the people who do the work.

Week 2

Build

Lay out the steps in Workflow Studio on the approved terms, with source-linked AI steps and a named reviewer for every result.

Weeks 3 and 4

Test and decide

Run the workflow on saved cases, measure it against the baseline and agree the evidence a release needs. You decide what happens next.

You bring

  • An owner with authority over the workflow.
  • A sample of past cases, with sensitive details removed or replaced.
  • A few hours a week from the people who do the work.

You keep

  • The approved terms, exportable to the AI tools you already use.
  • The tested workflow and its evidence record.
  • A release plan: owners, controls and what still needs proving.

Your data

The hosted beta uses synthetic or approved, non-sensitive documents. Taking the workflow onto live customer data happens in your own environment, as part of Pilot to production.

Why not just use the AI you already have?

Copilot, ChatGPT and Claude are good tools. They do not decide what your business means.

We work with them, not against them. What they leave open is the work that makes them dependable on a real workflow.

Meaning your owners approved

An assistant uses whatever definitions it is given. We get the people accountable for a term to agree it, against its source, before any AI relies on it.

Evidence your risk team can accept

A named reviewer on every result, an evidence record for each run and controls designed with risk and compliance, not added after the demo.

No platform to move into

Approved terms export to Copilot, ChatGPT, Claude and Gemini. You prove one workflow first, then choose where it runs, without committing your data and meaning to a single vendor.

Pricing questions

What buyers usually ask first.

Could we do this ourselves with Copilot, ChatGPT or Claude?

Partly, and you should keep using them. A careful team can draft definitions and prompts in any of them. The hard part is agreeing what each term means with the people accountable for it, proving a workflow against a measured baseline, and producing evidence your risk and compliance teams accept. That is the work we do with you, and the result runs in the assistant you already use.

Why not a large AI platform?

Enterprise platforms can do this at scale, but they usually ask you to move your data and business meaning inside them first, with a long program and contract to match. The first workflow proves value on the tools you have, so any platform decision comes later and rests on evidence.

Why is the first workflow priced after a conversation?

The fee depends on the workflow: how many steps it has, the state of the source documents and the controls your risk team will ask for. A free working session is enough to scope it, and you get a fixed fee in writing before you commit.

Are the studios free?

Yes, during the beta. Ontology Studio guest mode needs no account; Workflow Studio access is approved on request. You use your own AI key, so your provider bills you directly for AI steps, and you set a monthly cap on each key.

Do we have to use the studios?

For the first workflow, yes: that is what makes it fast to build and easy to inspect. If you need a workflow built in your own platforms from the start, Agent build and Pilot to production cover that.

How does this relate to the other offerings?

The first workflow combines the choice made in an AI workflow review with a working build on the studios. Taking it into production in your environment is Pilot to production. Both follow the four phases of a workflow engagement. Fractional and advisory leadership and the other offerings are scoped and priced separately.

Who does the work?

Richard does. RJL is principal led. When the scope needs more capacity or a specialist skill, he brings in partner firms and practitioners he has worked with, and names each one, with their role, in the proposal for your approval.

Next step

Bring one workflow. Leave with a fixed fee to build it.

Set up a free working session to talk through the workflow, what is blocking it and what a first build would cost.