Product — Semantic Intelligence Layer

The semantic layer that makes organisational knowledge usable by AI agents.

Amidflow structures documents, systems, metrics, definitions and business context into a governed intelligence layer — giving AI agents the context, provenance and meaning they need to support real decisions.

01 — Why it's needed

AI agents need more than access to documents.

Retrieval alone is not enough. To answer reliably, AI agents need to understand entities, relationships, definitions, metrics, permissions, source quality and decision context. The semantic intelligence layer provides that missing structure.

02 — What it contains

The structure behind a trustworthy answer.

ComponentWhat it holds
Entities Customers, products, suppliers, funds, companies, assets, sites, projects, policies, risks and teams.
Relationships How entities connect across documents, systems, transactions and decisions.
Metrics & definitions KPI logic, calculation rules, ownership and business definitions.
Source links Evidence, provenance, document references and lineage.
Decision context The business meaning behind information, not just the text.
Governance controls Ownership, access, quality rules, confidence flags and review workflows.
Evaluation layer Test questions, expected answers, failure cases and quality thresholds.

03 — What it powers

One governed layer. Many trustworthy outputs.

Built once, the layer is reused everywhere knowledge feeds a decision — from copilots and reporting to research and risk monitoring.

  • Source-linked AI answers
  • Internal copilots
  • Decision workflows
  • Board reporting & KPI trust
  • Document intelligence
  • Research workflows
  • Risk & control monitoring
  • Organisational memory
  • AI-ready knowledge assets

04 — How the pilot works

One corpus, one workflow, one success test.

The first engagement is a contained 6-week pilot — not a transformation programme. It proves whether a semantic intelligence layer can improve one real workflow before anyone commits to scale.

Scope → Structure → Build → Evaluate — over six weeks, ending in a stop / extend / scale recommendation.

05 — Example workflows

From scattered sources to a decision you can trace.

  1. 01

    Policy & document intelligence

    1. Policies & reports
    2. Semantic graph
    3. Source-linked answer
    4. Decision brief
  2. 02

    Executive reporting trust

    1. KPI reports & source systems
    2. Metric definitions
    3. Lineage
    4. Board-ready answer
  3. 03

    Research intelligence

    1. Filings, transcripts & notes
    2. Entity graph
    3. Evidence-backed support
    4. Memo

Start

Have an AI use case blocked by scattered knowledge?

Start with a focused scoping conversation. We'll identify one corpus, workflow or reporting problem where a semantic intelligence layer could create measurable value.

A 30-minute call — not a sales pitch.