You already have the systems and the data. Now let AI use them too.

We do not build a new system - we add AI to the one you already use. We define what it can access and measure its cost, error rate and impact.

Does this sound familiar?

Your systems are already running. Either AI cannot reach their data safely, or you cannot tell what it delivers.

01

"The assistant cannot access our systems."

People copy and paste information manually. The assistant cannot reach the latest data in the system.

02

"Our model costs keep rising, and we do not know why."

You do not track the cost or outcome of each task, so you cannot tell where the money is going.

03

"We are afraid to give it access."

You cannot see what data AI accesses, what it can change, or how to trace its changes later.

04

"It answers a little differently every time."

You do not compare answers against the same set of tests, so you cannot tell whether the last change helped.

What we do

Connected to your systems

AI accesses approved data from databases, CRM, project tools and documents. Its answers reflect the latest data, not whatever someone pasted in.

Controlled access and a full log

We give AI access only to approved sources and actions, with permissions based on role. We log every access and require human approval for sensitive changes.

Measured results, not guesswork

We measure cost, speed, error rate and quality against the same data before and after each change. Without a baseline there is nothing to compare.

Cheaper and faster

We shorten prompts, cut unnecessary calls and avoid computing the same result twice. Of the models we test, we choose the least expensive one that maintains the required quality.

How it works

Measure first, change second.

  1. We measure where you are

    We find out what today's process costs, how long it takes and where the errors come from.

  2. We set access limits

    We set which data AI will see, which actions it may take and what a person has to approve.

  3. We connect AI and roll it out step by step

    We roll it out one task at a time, so any error affects as little of your operation as possible.

  4. We verify the impact

    We repeat the first measurement on the same data. The comparison shows the impact of each change.

What you get

AI works with current data. You know what it brings, what it costs and how far its access goes.

Once it is running

  • Answers from today's data, not from material pasted in by hand
  • Role-based access, with every read and change logged
  • Costs broken down by model and by task
  • Measured impact for every change
  • Routine tasks run without human input; sensitive changes require approval

Not sure whether your AI pays for itself?

Tell us about your systems and what you want AI to handle better. We will tell you what can be measured and where to start.

Talk about your operations