Services / 05 Applied AI

Applied AI.

AI that pays for itself. We find the use cases with real ROI, build them on your own data and run them safely in production.

What we deliver

Capabilities

Find high-value use cases, assess data and risk, and build a practical AI roadmap.

Assistants, copilots and AI agents that complete real tasks inside your workflows.

Secure chat over your policies, manuals and tickets, with sources for every answer.

Extract, classify and validate data from invoices, contracts and forms.

Pipelines, vector search, evaluation and monitoring for AI in production.

Use AI to understand, document and migrate legacy code faster.

How it works

01 2 weeks

Workshops to pick use cases by value, feasibility and risk.

02 4–6 weeks

A working pilot on your data, measured against clear KPIs.

03 6–10 weeks

Security, integration, evaluation and scale for real users.

04 Ongoing

Monitor quality and cost, and keep improving the system.

ROI first We start from business value and measure it, not from the latest model.

Your data stays yours Private deployments, access control and no training on your data without consent.

Production-grade Evaluation, guardrails and monitoring so AI works beyond the demo.

Models & platforms

Claude GPT Gemini Azure OpenAI AWS Bedrock LangChain LlamaIndex pgvector Python

Is our data safe when using LLMs?

We use enterprise endpoints or private deployments, keep data in your cloud where possible and apply strict access controls.

How do we know AI will be worth it?

Every pilot has agreed KPIs, such as time saved or tickets deflected, measured before we scale.

Do we need a lot of data to start?

Not always. Many GenAI use cases work with the documents and knowledge you already have.