06
Decisions, actions and outcomes
WHAT THE ORGANISATION DOESAdvice, project delivery, customer response, policy, publication, research, approval and operational action.
Your AI stack can reach the library.
Who supplies the judgement?
Interrogate is designed to add the missing layer between company information and the people, processes and AI that need to use it.
How the layers fit together
Keep the systems. Keep the library.
Add governed knowledge.
Each layer answers a different question. The problem begins when organisations expect storage or retrieval technology to perform interpretation, governance and judgement that it was not designed to provide.
05
People, workflows and AI
WHO OR WHAT USES ITEmployees, specialists, clients, automated workflows, copilots, agents and AI-assisted applications.
04
The Interrogate knowledge layer
WHAT IS UNDERSTOOD AND TRUSTEDInterpretation, current position, provenance, ownership, context, challenge, approval, access and review.
03
Retrieval and AI services
WHAT CAN BE FOUND OR GENERATEDEnterprise search, vector retrieval, RAG, copilots, language models, summarisation and automation.
02
The company library
WHAT HAS BEEN STOREDSharePoint, document management, drives, email, intranets, knowledge articles, transcripts and archives.
01
Data and operational systems
WHAT HAPPENEDERP, CRM, case management, project tools, research platforms, databases and external data sources.
The library and doctor analogy
A medical library informs care.
It does not diagnose the patient.
The same distinction applies inside a company. Information becomes useful only when somebody establishes what it means, whether it is current and how it applies to the specific situation.
Company document estate
Large, valuable and necessary, but it can contain old material, conflicting views, general guidance and information of uneven relevance.
Enterprise search and retrieval
Helps locate potentially relevant material. It does not decide which interpretation the organisation accepts.
The current business context
The project, customer, transaction, jurisdiction, contract, facts, constraints and decision that make this situation specific.
The specialist and governed position
Applies expertise, weighs evidence, challenges assumptions, records the reasoning and accepts responsibility for judgement.
Knowledge governance
Ownership, peer challenge, approval, permissions, status and review help keep important knowledge controlled and current.
People and AI applying knowledge
The relevant knowledge is delivered where work happens, with evidence and limitations available rather than hidden.
What companies often have today
A strong technology stack with a knowledge gap.
Organisations may have clean structured data, well-managed repositories and sophisticated retrieval. Yet the accepted answer can still depend on finding the right specialist and asking them to reconstruct years of experience from memory.
Storage without authority
The latest file is not necessarily the approved position, and the approved position may not be documented clearly.
Retrieval without interpretation
Finding ten relevant passages does not resolve disagreement or establish how they apply here.
AI without ownership
A fluent answer may not reveal who is accountable for the knowledge it relies upon.
Questions without a lifecycle
Uncertainty is buried in email, chat or meetings rather than retained with the knowledge it affects.
Experts as bottlenecks
Specialists repeatedly answer similar questions because their reasoning has not become a reusable asset.
Updates without impact
New evidence arrives, but organisations struggle to identify which positions and outputs must be reconsidered.
What Interrogate adds
A layer that explains what the organisation knows.
Evidence and interpretation remain distinct
The source stays available, while the specialist conclusion, reasoning and limitations can be recorded separately.
Context travels with the knowledge
Users can understand where a position applies and which facts or assumptions would change it.
Challenge becomes part of the asset
Questions, contrary evidence, specialist review and decisions remain connected to the knowledge they shaped.
Ownership and review are visible
The knowledge can carry responsibility, status and review expectations so that currency is managed rather than assumed.
Access can reflect sensitivity
The model is designed to make permissions and intended audiences part of how knowledge is organised.
People and AI use the same foundation
Different interfaces and workflows can draw upon a common governed layer instead of rebuilding interpretation independently.
The library preserves what has been written. Interrogate preserves what has been understood.
Start with one knowledge domain
Prove the missing layer where the organisation feels the greatest pain.
Choose a critical body of knowledge, establish ownership and create a governed route from evidence to use.