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App-erate · Service 04

AI assistants & agents

Practical AI that drafts, sorts and answers — with people approving what matters.

Who it's for

Teams answering the same questions, sorting incoming requests or drafting routine documents.

The problem

Skilled people spend hours finding information and writing first drafts.

Typical examples

  • Answers from your documents, with citations
  • Triage and classification of incoming requests
  • Drafted replies, summaries and reports
  • Permitted tool actions with approval

What's included

Knowledge setup

Your documents organised so the assistant can retrieve and cite them.

Triage and drafting

Requests categorised and first drafts prepared for review.

Action permissions

A clear list of what the assistant may do, and what needs approval.

Logging and fallback

Every action recorded, with a hand-off to a person when unsure.

Sample evaluations

Test questions and cases reviewed together before wider rollout.

Example

From incoming request to approved update

  1. 1Request arrives
  2. 2Details extracted and categorised
  3. 3Relevant policy looked up
  4. 4Response drafted
  5. 5Person approves
  6. 6Approved update applied

What you receive

  • An agreed use case
  • Knowledge setup
  • A pilot assistant
  • Sample evaluations
  • Action permissions and handover

Retrieval uses your documents at answer time; it doesn't train a model on them.

Outputs are reviewed, and consequential decisions stay with people.

How we deliver

Every engagement runs through discovery, scope, build, validation and handover — with a working preview along the way.

Our process

Have something in mind?

Share a short brief and we'll come back with questions and a proposed next step.

Start a Project

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