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AI & automation

Your knowledge. Finally within reach.

Help people find the right answer across approved documents and business systems. Combine retrieval, source references and access controls so every answer has context your team can inspect.

Discuss your projectSee the architecture

What we can build together

Expertise that connects
to the work.

A focused engagement combines the capabilities your business needs. Each workstream has a clear purpose and reviewable outputs.

01

Source ingestion & freshness

Connect selected repositories, parse documents and preserve metadata. Define sync schedules, deletion handling and source ownership.

02

Retrieval & grounded answers

Compare keyword, vector and hybrid search. Use retrieval-augmented generation where useful, cite sources and abstain when evidence is insufficient.

03

Permission-aware experiences

Apply document-level permissions before retrieval. Test cross-team isolation and make stale, conflicting or inaccessible sources visible to operators.

How it fits together

A clear architecture.
From input to outcome.

Reference delivery flow. The implementation, vendors and boundaries are selected after reviewing your systems and requirements.

  1. 01Approved sourcesIngest documents with owner and access metadata.
  2. 02Search indexChunk, embed and index with freshness and deletion rules.
  3. 03Scoped retrievalFilter by permission before retrieving supporting passages.
  4. 04Cited answerGenerate an answer with references or ask for clarification.

Each boundary is a design decision: who can access it, what data crosses it, how failures are handled and who owns the next step.

An illustrative engagement

See the possibility.
Define the value.

An operations colleague searches an approved procedure library and receives an answer linked to the relevant passages. Restricted documents remain outside that colleague’s results.

Example scenario, not a customer case study or a promised result.

What success can look like

Measures worth agreeing upfront.

  • Retrieval relevance
  • Citation and answer correctness
  • Source freshness and permission isolation

Establish today’s baseline, an owner and an acceptance threshold before implementation. Review the evidence before expanding.

Security & responsible delivery

Design the boundaries.
Verify the controls.

Security is part of the agreed architecture and release criteria. Requirements depend on your data, users, hosting model and risk profile.

Access with a purpose

Define least-privilege roles, service credentials and environment separation. Verify that users and integrations can access only the agreed systems and records.

Deliberate data handling

Agree data classification, retention, residency and vendor processing terms. Limit sensitive inputs and protect secrets in the selected deployment environment.

Reviewable operation

Plan validation, change approval, useful audit events and incident ownership. For AI workflows, test source quality, permission boundaries and human escalation.

These are proposed engagement controls, not certifications or a guarantee that every risk is eliminated. The implemented controls and remaining risks are documented for your project.

Technology choices

The right tools.
For your context.

Select technology against integration fit, data requirements, operating costs and maintainability.

Explore our technology approach
PostgreSQL / pgvectorAzure AI SearchOpenSearchPineconeAnthropic ClaudeLlamaIndex

Illustrative options for evaluation. Availability, licences, specialist needs and vendor terms are confirmed during discovery. Names do not imply partnerships or prebuilt integrations.

What you take forward

Concrete deliverables.
Clear ownership.

  • Source inventory and ingestion pipeline
  • Search or question-answer interface with citations
  • Retrieval evaluation set and quality report
  • Permission and source-refresh runbook

Before we begin

A few practical questions.

Can we start with one workflow or a discovery engagement?

Yes. Start with a clearly bounded assessment or pilot. We agree the deliverables and decision criteria so you can evaluate the next step without committing to a wider programme.

Can you work with the technology we already use?

We assess the existing architecture, platform permissions and integration options first. Configuration, an extension or a focused integration may be sufficient. Any platform-specific expertise is confirmed in the scope.

How do you handle AI quality and sensitive information?

We agree approved sources and processing boundaries before connecting systems. AI work includes representative evaluations, failure handling and review requirements. Sensitive or regulated use cases require additional project-specific assessment.

How are the price and delivery timeline set?

They depend on scope, access, data quality, integrations and review capacity. A discovery engagement establishes milestones, estimates and assumptions. We do not promise a fixed delivery date before understanding those dependencies.

Connected capabilities

Build the complete picture.

Explore the adjacent services that can support this engagement.

The next move is yours

Bring your ambition.
Let’s make it work.

Start a conversation