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AI Assistants

AI that ships, not AI that demos.

Many GenAI pilots impress in a demo and then stall, because they were never tied to a specific workflow or designed for production. We start from one problem, such as questions only an expert can answer or a decision that needs a record, design the assistant around it and prove its value with real data in a working prototype. Then we build the guardrails, integration and operating model that put it into daily use, and run it.

Discuss your challenge
The problems we start from
01

GenAI pilots impress in demos but never reach production.

02

Expert know-how lives in people's heads, recordings and slides.

03

People won't rely on an AI answer they can't check.

One seamless service
  1. Framethe real problem, with the people who live it
  2. Designthe solution: process, data, architecture
  3. Proveit with a working prototype in days
  4. Buildit for production and roll it out
  5. Runit, and keep improving it
22/22

Expert test questions answered correctly, each with its source

100%

Answers cited to their source in expert testing

0

Changes applied by AI without a person's approval

How we solve it

From problem to working solution

01 · Knowledge assistants that cite their sources

Are the answers people need buried in documents only a few people know?

We build assistants grounded in your own recordings, slides and records, which answer with the source and decline what they don't know.

22/22

Expert test questions answered correctly, every answer cited

See the case
02 · AI inside the workflow

Do you want AI to help with decisions without making them?

We put AI functions inside the application people already use: the AI proposes, and a person approves every change.

6

AI functions that draft and score, each approved by a person

See the case
03 · From proof of concept to production

Has a promising pilot stalled before daily use?

We add the private connectivity, evaluation, guardrails and operating model that a pilot needs to run every day.

Craft Sprint

Not sure where to start?

We start with your problem: who is affected, what it costs, and what success looks like. Then we design the solution with you and prove it with a working prototype that decision makers can try before committing to a major investment, ready for budgeting and approval.

How the sprint works

Have a problem worth solving?

Tell us about it in a few lines. We will come back with a practical first step, usually within a week.