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AI & Workflow Automation

Internal Knowledge Search & RAG

Help staff find relevant answers across approved documents without giving every user access to every source.

Internal Knowledge Search & RAG
Internal Knowledge Search & RAG: illustrative workflow
UnderstandImplementVerify & handover

Illustrative workflow. No customer records, traffic figures or test results are shown.

A practical view of the work. The agreed scope and verification below define the engagement.
THE WORK

What this engagement can include

This service focuses on internal knowledge search & rag. We agree the exact platforms, deliverables and acceptance criteria before implementation, so the proposal describes a bounded piece of work.

Document ingestion and retrieval

Understand the current setup and agree the decisions this part of the work depends on.

Source references and access filtering

Implement the agreed behavior in a suitable environment and share it for review.

Search-quality evaluation and refresh rules

Exercise the important paths and document the result, limits and next operating steps.

A POSSIBLE ENGAGEMENT

How this could work in practice

A service team searches scattered process notes. The proposed tool retrieves relevant passages and shows the underlying documents before the team acts.

This is an illustrative scenario, not a claim about a completed client project.

EVIDENCE & HANDOVER

How we check the work

Retrieval tests for known questions, outdated documents and restricted content, including whether the answer points to the right source.

What you receive at handover

The agreed implementation or assessment, the relevant verification evidence, known limitations and instructions for the tasks your team will own. Access and source ownership, third-party licenses and any ongoing support are identified in the proposal.

See our project process →
YOUR INPUT

What we need from you

A document inventory, permission rules, representative questions and an owner for source updates.

A named decision maker helps resolve questions, approve the scope and review work at the agreed checkpoints.

THE BOUNDARIES

What we agree separately

The work does not turn incomplete or conflicting documents into authoritative information. Licensing and source-system access must be available.

Requirements discovered during the work are reviewed before they are treated as additional deliverables. Timelines and fees follow the approved scope.

YOUR QUESTIONS

Before we get started

Is this the same as training a new model?

Usually not. Retrieval provides relevant information to a model at request time. We assess the source material and access needs before proposing retrieval, model customization or a simpler search interface.

What should we share in the first conversation?

A document inventory, permission rules, representative questions and an owner for source updates. If those details are incomplete, start with the problem, the current setup and the outcome you need. We can identify what must be clarified before quoting the work.

How will scope, timing and acceptance be agreed?

We review the requirements and dependencies, propose deliverables and milestones, and define who approves the result. For this engagement, verification includes: Retrieval tests for known questions, outdated documents and restricted content, including whether the answer points to the right source.

CONNECTED SERVICES

Need a different part of ai & workflow automation? These are separate scopes that can be combined when the project requires them.

AI & Workflow Automation

Start with what needs to work better.

Tell us about your current setup, the problem and any deadlines. We’ll discuss whether this service is the right fit before proposing the work.

Discuss your project