AI solution takeover and improvement

If your AI chatbot gives wrong answers, an agent behaves unpredictably, an integration stops or costs grow faster than results, we take over the solution, find the causes and put it in order. We work with solutions built by another developer, an in-house team or a no-code tool.

What the service covers

Assessment
We check how the solution is built, which data and models it uses, what its instructions are and where the errors come from.
Answer quality
We sort out the knowledge base, sources and instructions so the chatbot answers from the right data and admits when it does not know.
Cost control
We analyse request volumes and model choices and cut costs without losing quality.
Integrations and stability
We fix connections to company systems, error handling and logging, so the solution does not run blind.
Security and data
We check which data reaches the model, who can access it and whether the solution can be tricked by instructions hidden in user text.
Measurement and maintenance
We introduce a test set of questions and regular quality checks, so every improvement can be measured.

How the takeover works

Conversation and access

We find out what the solution should do, what is not working and what access is available.

Testing with real questions

We test the solution with real user questions and tasks and note where it goes wrong.

Fixes

We sort out data, instructions, integrations and model choice, starting with what causes the most trouble.

Tests and measurement

After every change we test the solution against the same set of questions and compare the results.

Maintenance

We agree on maintenance, quality checks and further development.

Is your AI solution not working as promised?

We reply within one working day.

Request an assessment

The most common problems

A chatbot makes up answers because it is not connected to company data or the data is out of date. An agent takes actions without checkpoints. An integration stops after an API change and nobody notices. Costs grow because the most expensive model is used for every question. All of these can be fixed without starting from scratch.

When it is better to start again

If a solution is built on a tool that does not let you control the data or the costs, we will say so plainly and compare improving it with a new solution by cost and risk.

Frequently asked questions

Can you take over a solution built with a no-code tool?
Yes, if there is access to the account and the data. We assess whether it can be improved in the same tool or whether it makes more sense to move it to a solution you control.
How do you know the answers have improved?
We build a set of real questions with the expected answers and test the solution against it after every change.
What does the price depend on?
On the size of the solution, the number of integrations, the state of the data and how much needs to change. We give you the scope of work after the assessment.
Why did our AI chatbot start answering worse?

The most common reasons are outdated or contradictory sources, a changed model version, instructions that have piled up over time without testing, or new kinds of questions. With a set of test questions we find where the answers have got worse and fix the cause.

Can you reduce the cost of our AI solution?

Often, yes. Costs can be reduced by choosing a model that fits the task, shortening unnecessarily long instructions and context, using caching and limiting repeated requests. Before making changes, we measure how they affect the quality of the answers.

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