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An engineer studies a glowing tree of documents flowing into a core with light guardrails and a checklist.

AI-integrated solutions

Useful AI is mostly engineering around the model: good data, clear limits, tests and monitoring. We design and build AI systems that hold up in real operations and in security review.

Who this is for

  • Companies with documents, tickets or records that staff waste time searching
  • Teams that want an agent to complete a repeatable workflow
  • Organizations that need AI inside strict privacy or compliance limits

What we do

Retrieval over private data

Assistants that answer from your own documents, with sources shown, so answers can be checked.

Agents for real workflows

Systems that take a request through several steps, such as reading, deciding, drafting and updating a record, with a person approving where it matters.

Evaluation and guardrails

Test sets, scoring and rules for what the system may and may not do, run before launch and after every change.

Secure deployment

Access control, logging and hosting choices that fit your data policy.

Integration

Connecting the system to the tools your team already uses.

How it works

  1. 01

    Scope

    One workflow, written acceptance criteria and what success looks like.

  2. 02

    Prototype on your data

    A small working version to test with real examples.

  3. 03

    Evaluate

    Measured quality and failure cases before wider use.

  4. 04

    Harden and deploy

    Security, monitoring and handover.

What you receive

  • Scoped build with written acceptance criteria
  • Working system on your data
  • Evaluation results
  • Deployment and handover notes

Tech stack and tools

Models and orchestration

  • Large language model APIs
  • LangGraph style agent workflows
  • Prompt and output validation

Data and retrieval

  • PostgreSQL
  • Vector search
  • Document parsing

Application

  • Python and TypeScript
  • REST APIs
  • Docker
  • Vercel or cloud hosting

Common questions

Can the data stay private?

Yes. We choose hosting and model options that fit your data policy, including self-hosted setups where needed.

How do you stop wrong answers?

Sources are shown, limits are written as rules, and the system is tested against known cases before it goes live.

Where do we start?

With one small, valuable workflow, not a company-wide programme.

Related services

Talk to us about ai-integrated solutions

Tell us about your business and we will reply with an honest view and a quote.