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Solution

AI Assistants

Assistants grounded in your own knowledge, with citations and clear boundaries.

Overview

What this covers

Internal and customer-facing assistants that answer from your documentation and data, cite their sources, and escalate to a person when confidence is low.

A useful assistant is built on good knowledge, not just a capable model. We organise your documents, policies and product information into a searchable knowledge base, keep it up to date automatically, and make sure every answer can be traced back to its source.

Before launch we test the assistant against real questions your team or customers ask, measure accuracy, and set clear boundaries on what it should and should not answer. After launch, feedback and monitoring show where it needs improving.

Outcomes

  • Faster answers to routine questions
  • Consistent, accurate information
  • Lower support burden
  • Answers backed by cited sources
  • Knowledge available outside office hours
  • Clear hand-off to people when needed

Capabilities

  • Knowledge base preparation
  • Retrieval and search architecture
  • Prompt and response design
  • Evaluation and accuracy testing
  • Guardrails and topic boundaries
  • Human escalation
  • Feedback collection
  • Usage and quality monitoring

Deliverables

  • Assistant application or widget
  • Knowledge ingestion pipeline
  • Evaluation question set and results
  • Guardrail configuration
  • Monitoring dashboard
  • Maintenance guide
  • Python
  • TypeScript
  • Large language models
  • Vector search
  • PostgreSQL
  • Docker

FAQ

Questions

We design against it. Answers are grounded in your own content, sources are cited, and when the assistant cannot find a reliable answer it says so and offers to connect the person with your team.

Related

Other solutions

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October 2026

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