KnowledgeFlow™
The private, accredited environment your AI assistants run inside.
Your documents stay in your own cloud tenant, every answer is cited to its source, and nothing is ever shared with public AI models or used to train them.
The AI model is the cheap, commodity part.
KnowledgeFlow is the security, governance and control that makes deploying it safe in a public-sector organisation.
Why KnowledgeFlow exists
Public AI tools weren’t built for organisations that hold sensitive data and answer to regulators. Paste a policy or a case note into a public chatbot and you’ve lost control of where it goes and how it’s used.
KnowledgeFlow was built the other way round. It gives your teams the usefulness of modern AI — instant answers from your own documents — inside an environment you control, can audit, and can defend to your board, your auditors and your regulator.
Built for trust, not just for answers.
Private
Your data stays in your own Azure or AWS tenant. It is never shared with public AI models and never used to train external systems.
You own the environment; we operate the platform inside it.
Accredited
ISO 27001 (information security) and ISO 42001 (AI management) certified.
Microsoft Entra ID authentication, document-level access control, and managed identity mean people only ever see what they’re allowed to see.
Accountable
Every answer is cited to the exact source document and section, so your team can verify it before they act on it.
You get a clear audit trail — what was asked, what was answered, and where the answer came from — for regulatory and governance scrutiny.
How it works
- Your documents stay where they are — inside your own secure cloud tenant. KnowledgeFlow reads them; it never copies them out.
- When someone asks a question, KnowledgeFlow finds the most relevant passages in your documents and uses them to answer — in plain English, with the sources shown.
- Each assistant (Policy Buddy, Tenant Enquiry Handler, BidWriter and the rest) is a specialised view onto your knowledge, with its own permitted documents and audience.
- Administrators control who can use which assistant and which documents each can see — all from one console.
You can see what it’s doing
Most AI tools are a black box: an answer appears and you’re asked to trust it. KnowledgeFlow is built to be inspected.
You can see which documents an answer drew on, follow the citation back to the source, and review how the platform is being used across your organisation.
For teams in regulated, high-stakes work, being able to show your working isn’t a nice-to-have — it’s the difference between a tool you can deploy and one you can’t.
One platform, many assistants
Start with one assistant that solves a specific problem. Add more when you’re ready — each new assistant runs on the same platform, in the same secure tenant, under the same controls.
There’s nothing new to procure, secure or assure each time.
The platform you trust for the first assistant is the platform that runs the next ten.
Technical detail (for IT and information governance teams)
KnowledgeFlow™ is sophisticated, enterprise-grade AI chat platform built in Azure or AWS. It has multi-persona support, advanced document processing, and Retrieval-Augmented Generation (RAG) capabilities.
In simple terms, we work with you to identify the key tasks and recurring problems in your business where AI has the potential to transform outcomes.
We then build our KnowledgeFlow™ platform into your workflow, giving your teams access to indispensable assistants that help them do better work, more easily.
Here are some of the key features of KnowledgeFlow™.
Deployment
Deployed within your own Microsoft Azure or AWS tenant. Multi-tenant support for organisations running several configurations.
Identity & access
Microsoft Entra ID authentication and authorisation; document-level access control using Entra ID groups; managed identity for secure service-to-service authentication.
Security
Microsoft Defender integrated security scanning; least-privilege service identities; data encrypted in transit and at rest within your tenant.
Retrieval
Hybrid search combining local vector embeddings with Azure AI Search; persona-specific document collections so each assistant only reasons over its permitted sources.
Models
Assistants run on enterprise Azure OpenAI Service models within your tenant boundary. The model layer is replaceable; your data and governance layer stays constant.
Administration
Database-driven admin console; configuration changes apply without service restarts; centralised management of assistants, documents and permissions.
