We work AI-first. The competence stays with you.
We use AI tools in our own engagements and help you do the same — with the same principle as always: the knowledge stays with you when the engagement ends.
What AI-first means at Agnitio.
- In our own engagements
Our consultants work with AI tools every day — in development, architecture and documentation — and bring those ways of working into your projects. Right now: AI in our own system of over 1.7 million lines of code, 100,000 CVs indexed for semantic search, 26 AI agents of our own, and a miniature LLM built from scratch in C#. How we do it ourselves
- At yours
We help you choose, introduce and use AI tools in your development and workflows, and integrate language models into your own systems where it adds value.
- With judgement
What may be sent to a model, how results are reviewed and what must stay inside your organisation — we decide that together with you, before we start.
- The competence stays
Your staff are part of the whole journey. When the engagement ends you master the tools and the ways of working yourselves.
How we help.
We do
AI-assisted development. Coding assistants and AI-supported workflows in your day-to-day development — introduced together with the team, with quality intact.
Language model integration. Language models in your own systems and processes: design, integration, evaluation and operation.
Automation and agents. Agentic workflows that take over repetitive steps so your specialists can focus on the hard parts.
Strategy and adoption. Choice of tools, guidelines for safe use and a plan for how AI is introduced in your organisation.
You keep
The ways of working, the tools and the understanding — with your own people, not with a consultant.
As in everything else we do, our consultants act as mentors throughout the project. The knowledge stays with you because you've been part of the whole process.
With AI, things move extremely fast. With the right process, they move fast without going wrong.
Speed — with control.
- From idea to running solution
Prototypes and first versions in a fraction of the time. Decisions are made on something you can try — not on a specification.
- The whole lifecycle
Requirements, design, implementation, test, deployment and maintenance. AI tools are used in every step of the software development lifecycle (SDLC) — but the steps remain, and they are what make the speed sustainable.
- Quality built in
Version control, code review, automated tests and CI/CD. What is generated is reviewed by people who know the domain, before it reaches production.
- Small, frequent deliveries
Short iterations and early feedback instead of big releases. Direction can change before it gets expensive.
Training at three levels.
For the whole organisation, for developers and for architects — so everyone gets the right level.
- AI in practice
Foundation, for all staff: what today's AI tools can and can't do, safe use and good results in everyday work.
- AI-assisted development
Intermediate, for developers: coding assistants in daily work and workflows that keep quality up.
- AI integration and agents
Advanced, for architects and experienced developers: language models in your own systems, agentic workflows, evaluation, security and operation.