AI & Agents
Every Agent Needs Trusted Context. One Layer Delivers It.
AI agents, copilots and applications all depend on enterprise knowledge. Without a trust layer, each one retrieves independently — creating inconsistency, duplication and risk.
The problem
The fragmented context problem.
When every agent builds its own context pipeline, organisations end up with:
- —Multiple versions of the same policy surfaced by different agents
- —Inconsistent answers across customer-facing and internal channels
- —No shared evidence layer — every agent retrieves independently
- —No traceability — AI outputs cannot be explained or audited
Without Keel
Each agent queries enterprise systems directly — no shared trust layer.
With Keel
One shared trust layer — every agent benefits from the same trusted context.
The Keel approach
One context layer. Every agent benefits.
Keel sits between your enterprise systems and all AI consumers. Every agent draws from the same trusted context — with source, evidence, freshness, access, consistency and traceability preserved.
Enterprise Systems
Trust Layer
KEEL
AI Consumers
Supported agent types
Keel works with every agent type your organisation runs.
Trusted policy and product knowledge for customer-facing AI. Keel ensures agents reference the current version of every policy and product detail — with the source records to back it up.
Account, product and competitive context with evidence. Sales AI draws on real delivery history, validated capability claims and current product knowledge.
Procedure, SOP and operational context — current version only. Keel ensures operations AI references the approved procedure, not a draft or a superseded document.
Regulatory and policy context with full traceability. Compliance AI must be right and auditable. Keel provides both.
Organisational knowledge that is current, conflict-aware and accessible. Internal AI stops surfacing outdated information or contradictory guidance.
Any AI application benefits from the same trusted context foundation. Keel is model-agnostic and agent-agnostic — the trust layer works regardless of the stack above it.
"Agents come and go. The context layer stays."
AI models change. Agent frameworks evolve. New tools emerge. Keel is designed to outlast them — a model-agnostic, agent-agnostic trust layer that your organisation owns regardless of what AI stack you run above it.
Model-agnostic
Keel works with GPT, Claude, Gemini or any other foundation model. The trust layer is independent of the model above it.
Agent-agnostic
Any agent framework — LangChain, AutoGen, custom-built — can consume trusted context from Keel without modification.
Organisation-owned
The trust layer and its context remain in your infrastructure. No dependency on a single AI vendor.
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