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AI Knowledge Management

AI that reads everything you already know, and answers with evidence.

The AI reads and understands the knowledge already scattered across SharePoint, Teams, Confluence, Jira, documents and email — not just indexing keywords, but reasoning over content well enough to spot when two sources disagree or one has quietly gone stale. When someone asks a question, it doesn't guess: it retrieves the specific, current, permitted source material, reasons over it, and answers with citations attached — so people can verify the answer instead of just trusting it.

The workflow

Knowledge lives everywhere — SharePoint, Teams, Confluence, Jira, inboxes, individual drives — and rarely in one place. People re-ask questions that were already answered, work from outdated versions, or simply can't find what they need in time, because finding the answer means knowing which of five systems to search, and reading enough of what comes back to tell if it's still current.

How scattered knowledge becomes an AI that can answer, with evidence

Where it fits

Illustrative applications across common business functions — not a list of confirmed client deployments.

Internal knowledge assistant for policies and proceduresOnboarding and training Q&ASearchable institutional knowledge across toolsEvidence-backed answers to repetitive internal questionsProduct and technical documentation lookupCompliance and audit knowledge retrieval
From manual to measurable.

Before

  • Knowledge scattered across five or more systems
  • Duplicate and outdated content in circulation
  • Questions re-asked because answers can't be found
  • No clear ownership of accuracy
  • Search returns documents, not answers
→

After

  • AI reads and understands content across every connected source
  • AI surfaces duplicates and conflicts instead of hiding them
  • Questions get a direct, cited answer, not a document list
  • Permissions inherited automatically from source systems
  • Ownership and versioning stay visible

How we deliver it

01

Understand

We map your process, systems, data and objectives — and where a person is currently doing work an AI could understand and reason over instead.

02

Design

We design what the AI needs to understand, decide and act on, and where a person stays in the loop.

03

Build & Integrate

We build the AI's reasoning around your business rules and connect it to the systems it needs to read from and act on.

04

Deploy & Enable

We test the AI against real cases, deploy it, and help your team adopt the new workflow.

05

Measure & Improve

We monitor outcomes and the AI's decisions, identify bottlenecks, and improve the solution as your needs evolve.

What changes for your team?

Faster access to information
Answers grounded in evidence, not guesses
Less duplicated effort
Greater visibility into what's current
Stronger governance
Scalable as content grows

These are value dimensions we design for, not guaranteed figures. Any metric shown elsewhere is illustrative unless labelled as based on client or project data.

The AI answers with evidence, and stays inside the permissions the content already has.

Works with your systems

SharePointTeamsConfluenceJiraMicrosoft 365Google DriveCustom APIs

Configured for your business

We configure this solution around the way your organisation already operates.

Taxonomy and categoriesPermission mappingReview and approval workflowConflict-resolution processDeployment environment

Categories

OrganisationDepartmentTeamApplicationProcessWorkflowProjectPolicySOPIncidentImplementationTechnical Knowledge

Small team

Connect → AI Reads & Indexes → Ask

Larger organisation

Connect → Govern → AI Audits & Reasons → Analyse → Act

Technology that fits your environment.

We combine modern AI frameworks such as LangChain, LangGraph, LlamaIndex, PydanticAI and agent frameworks with FastAPI, vector databases, guardrails and evaluation tooling, alongside enterprise platforms including Appian, Camunda, Power Apps, Power Automate, n8n and Zapier to build production-ready AI solutions.

AI frameworks & agents
LangChain, LangGraph, LlamaIndex, PydanticAI, Agent frameworks
Engineering & AI infrastructure
FastAPI, Vector databases, Evaluation tooling, Python, Open models
Governance & guardrails
AI governance, Guardrails, Evaluation, Monitoring, Human review
Enterprise platforms
Appian, Camunda, Power Apps, Power Automate
Automation platforms
n8n, Zapier

Talk through your process.

We'll come prepared with ideas for where we can help.

Explore AI knowledge management for your organisation