AI Organisational Knowledge Framework, Simplok

The business problem

Knowledge is scattered and hard to trust

Critical information lives across SharePoint, documents, research and email. Finding the right answer is slow, and generic tools give unsourced, inconsistent responses.

Hours lost searching across systems
Inconsistent, unverifiable answers
Expertise locked in files and inboxes
Generic AI that makes things up

What we have

A framework that knows your organisation

We ingest your knowledge base, documents at scale in a single deployment, and build agents on top to power research, insights and everyday knowledge work, grounded in your content.

Ingested documents at scale across SharePoint, research and more
Purpose-built agents on top of your knowledge
A source cited behind every answer
An AI roadmap to deliver similar projects on shared, reusable frameworks

How it works

From scattered knowledge to trusted answers

STEP 1

Ingest

Connect your sources, SharePoint, documents, research and more.

STEP 2

Understand

The framework indexes and understands your knowledge at ingestion.

STEP 3

Ask

People ask in plain language and get a precise, cited response.

STEP 4

Act

Purpose-built use cases, research, ideation, substantiation, done faster.

Use cases & capabilities

Built for real organisational work

Market research

Surface insights from your own research library in seconds.

Idea generation

Generate and explore ideas grounded in approved sources.

Evidence & validation

Validate statements against the evidence, with citations.

Citations on every answer

Each response links back to the exact source it came from.

Role-based access

People only see answers from content they're allowed to.

Secure & governed

Runs in your environment; your data stays yours, fully auditable.

See it in action

Ask your organisation anything

A conversational assistant grounded in your approved knowledge, permission-aware, with a citation behind every claim, and a human-review reminder for regulated use.

Organisational knowledge assistant

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Recent

Consumer insight summary07 Jul 2026

Category health report07 Jul 2026

Product evidence review06 Jul 2026

Barriers to purchase03 Jul 2026

Tracking-study learnings02 Jul 2026

Good afternoon

Ask anything about your markets, projects and evidence, answered from approved internal and external sources, with citations.

Ask your knowledge assistant about your organisation…

🌐 Web searchOff➤

Market research7Ideation21

▮Show me historical consumer-insight summaries for our category.

▮What barriers to purchase were identified across different markets?

▮List key learnings from previous U&A or tracking studies.

▮What role does professional recommendation play in purchase decisions?

15,261 approved documents · 3 SharePoint sources · Grounded · cited · permission-aware

Answer · grounded & citedSources 20

Summary: drivers of customer retention

An analysis of 12 months of survey data found that onboarding quality and service responsiveness were the strongest predictors of renewal, with retention 24 points higher among customers who completed onboarding 5.

Supporting evidence

Follow-up studies showed the same pattern across regions, most at-risk accounts were recovered within the first quarter, and satisfaction rose steadily through the year 79.

This response must be reviewed by an expert human before being used externally or in regulated contexts.

⧉ Copy

SourcesAll 20 · Documents 20 · Web 0

▤ Knowledge base100%

Customer insights research 2024.pptx

Presentation report, customer insights research

▤ Knowledge base92%

Independent market study (2022)

Regional performance & satisfaction trends

▤ Knowledge base100%

Customer insights research (rev 1).pptx

Presentation report, customer insights research

▤ Knowledge base85%

Quarterly retention analysis

Account health & renewal indicators

Illustrative recreation of the knowledge assistant interface.

The framework, end to end

One platform, every team

Secure team portals on top, agents scoped to their own knowledge, a shared Azure AI brain, and governed enterprise data underneath, new teams and agents added through configuration.

Enterprise AI Knowledge FrameworkWeb Portal App · Azure AI Foundry · Knowledge Bases · Secured by Microsoft Entra ID

Business InterfaceWeb Portal App — one secure Entra door per team

Team Portal AScoped to that team’s knowledge

Team Portal BScoped to that team’s knowledge

More team portals — added by config

Agent LayerAgents run in Azure AI Foundry, each scoped to its own knowledge

Team A AgentGrounded, cited answers

Team B AgentGrounded, cited answers

More agents — future

AI BrainAzure AI Foundry — semantic retrieval, ranking & grounded synthesis

Azure AI FoundryOrchestration & grounding

Azure AI SearchVector + keyword index

Semantic RankerRelevance re-ranking

GPT-4oLLM reasoning

Document-to-slide tool — on Azure compute Web fallback (Bing) — optional per team

Data SourcesSharePoint knowledge bases + permissions, indexed per team

Team A knowledge basesClaims, governance, insights, trackers

Team B knowledge basesGuides, references, formats

More KBs — indexed per team

Connected enterprise systems — via MCP / Cortex

Data warehouseStructured programs & performance

Warehouse agentQuery in natural language

Regulated contentControlled / GxP zone

CRMField & customer context

Shared FoundationOne platform, many teams

Azure AI FoundryAzure AI SearchSemantic RankerMicrosoft Entra IDWeb Portal AppMCP Server ConnectorsDocument-to-slide tool

One secure platform — new teams, agents and data sources are added through configuration, not code.

AI Organisational Knowledge Framework

See the knowledge framework in action