AI Transformation

AI in the right places: measurable, and safe for your data.

AI is a tool. Business value is the goal. We help you choose the right processes for AI, run measured pilots, then roll out safely, with clear AI governance and data protection.

What we do

Everything you need, from one team.

AI readiness assessment and roadmap

Prioritised use cases, with expected cost and value.

Internal knowledge assistant (RAG)

Answers from your own documents, with sources.

AI agents for process automation

Automate repetitive steps in operations.

AI for software testing

Agents that generate, run and report tests.

AI governance and security

Policies, risk assessment and security testing.

Team enablement

Help your people use AI well and safely.

What you get

Clear deliverables, agreed up front.

  • An assessment report and prioritised use cases
  • Success metrics agreed before building
  • A risk, security and compliance review
  • User guides and training

Technologies we use

Azure OpenAIAnthropic ClaudeOpen-source LLMsLangChainVector databasesPythonMLOps
Common problems

What usually goes wrong, and how we handle it.

Investing in AI because everyone else is

We start with an assessment and problems with measurable value, not with tools.

Scattered, low-quality data

We assess the data you have and plan the preparation work before any AI goes in.

Staff do not use the AI tools

Designed with real users, with training and adoption tracking after launch.

Security and compliance risk

Clear AI governance, security testing, and no use of your data to train outside models.

How we deliver

Four clear steps, with you at every one.

1
AssessInterviews, data review, pick 2–3 priority use cases.2–3 weeks
2
Measured pilotBuild a pilot and measure it against agreed metrics.4–6 weeks
3
Roll outIntegrate with your systems and train your people.By scope
4
Monitor and governTrack model quality, cost and risk.Ongoing
Engagement models

Choose how we work together.

Fixed-scope project

Scope, cost and timeline agreed up front. We own delivery.

Dedicated team

A cross-functional team of developers, QA, designers and a project manager or Scrum Master, working long term on your product.

Staff augmentation

Engineers join your existing team directly and work under your lead.

Cost depends on the scope of work, the timeline and the engagement model. Contact us and we will advise you and send a proposal that fits. Contact us →

Not sure where to start?

Answer three questions on our homepage to see a suggested first step.

Check your AI readiness
FAQ

Questions about this service

Will our data be used to train models?

No. Your data is never used to train outside models. When needed, the solution runs on your own infrastructure.

Can we start with a small budget?

Yes. A 2–3 week assessment shows where to invest before you commit a larger budget.

How soon will we see results?

A measured pilot usually shows results within 4–6 weeks.

Tell us about the problem you need to solve.

An engineer or consultant replies within one business day. Free consultation.