Give your AI the right information. Get answers your team can trust.
Keel connects all your business tools to AI and makes sure every answer is backed by real, verified sources — so your team always knows where the information came from and can act on it with confidence.
01 · AI sends a query
02 · Keel scans your systems
The Problem
Enterprise AI is expensive, unreliable, and getting worse.
Companies spending millions on AI models are seeing inconsistent, untraceable results. The models aren't the problem — the context they're given is broken.
Enterprise Knowledge Lives Across Disconnected Systems
Enterprises have years of institutional knowledge — but AI retrieves without knowing which version is current, which source is authoritative, or which system supersedes another.
What Enterprise AI Gets Wrong Without Trusted Context
The problem isn't the AI model. It's the context the model is given — unverified, unattributed, and untrustworthy.
The Root Cause
AI quality decays as context grows.
Token quality isn't uniform across a context window. The first tokens are the most effective — and quality decays rapidly after the window is 50% full. The model drifts, conflates sources, and averages contradictions. Feeding your AI your entire ERP and CRM isn't thorough. It's expensive noise.
How context window quality degrades
Optimal Zone
0 – 50% full
- —Maximum model attention per token
- —Optimal cost-to-accuracy ratio
- —Answers are reliable and traceable
Degradation Zone
50 – 80% full
- —Drift begins — model averages signals
- —Conflicting sources blended silently
- —Rising cost, declining reliability
High Drift Zone
80 – 100% full
- —Results inconsistent, hard to trace
- —Model loses focus on the query
- —Maximum spend — minimum reliability
60–70%
of tokens are irrelevant noise
ERP records, CRM history, and stale documents dumped into one context window. Most tokens do nothing — except cost money and cause drift.
50%
fill threshold before drift begins
Once a context is more than half full, models lose focus. They start conflating documents, averaging contradictions, and drifting from the original query.
10×
cost multiplier for wrong answers
In insurance, compliance, and legal, a confident-but-wrong AI answer doesn't just waste tokens — it triggers audits, rework, and regulatory exposure.
A day in the life — compliance officer asks about flood coverage policy
Without context management
Full ERP + CRM + document archive sent to the model
Where the policy clause actually appears — buried in noise
Model drifts — conflates Amendment 7B with superseded version
Auditor catches the error three weeks later
200 queries/day × 3 hours manual validation each
With Keel
Only the current, authoritative flood coverage clauses
Amendment 6C vs 7B resolved before retrieval
Model attention is undivided — no drift, no blending
Traced to specific section, version, and effective date
Auditors verify directly from the citation. 96% cost reduction.
How Keel Works
Not a better model.
Trustworthy context for every model.
Keel sits between your enterprise data and your AI — verifying, structuring, and serving context your models can actually rely on.
Works with any LLM, any framework, any use case
Six trust properties — each with a direct business consequence
Answers built on current data, not stale snapshots
Keel tracks when each source was last synced and flags outdated context before it reaches your AI — so decisions are never made on information that no longer reflects reality.
Conflicts between systems surfaced before AI uses them
When two systems disagree, Keel surfaces the conflict and resolves it using source authority and version order — so AI never silently averages contradictory information.
Every answer traceable to its exact source
Keel returns the document, version, section, and timestamp behind every answer — so your teams can verify what AI used, and your auditors can reproduce the reasoning.
Decisions that survive scrutiny
An AI that cannot show its work cannot be trusted with consequential decisions. Keel makes evidence a first-class output — not an afterthought.
No phantom citations or hallucinated references
Every piece of context Keel returns is connected to a verified enterprise record. No fabricated sources. No invisible assumptions quietly baked into the answer.
Context only reaches who is authorised to see it
Source-system permissions are respected at retrieval time — not just at login. Keel ensures AI answers never expose data to users or systems that lack the right to see it.
The trust layer — sits between your systems and your AI
Your Systems
CRM · DOCUMENTS
DATABASES · SAAS
Context Trust Layer
KEEL
Verified Context
FRESH · CITED
CONFLICT-RESOLVED
AI Consumers
COPILOTS | AGENTS | SEARCH
Solutions
Every knowledge-intensive workflow, made trustworthy.
Keel deploys where trust failures are most expensive — then scales across the enterprise. Same infrastructure, every workflow.
RFP & Proposal Intelligence
Respond to bids faster with trusted knowledge from past proposals, delivery records, and org expertise.
ExploreClaims Intelligence
AI decisions traceable to the authoritative policy clause, coverage limit, and regulatory ceiling.
ExplorePolicy Intelligence
Give teams the current, authoritative policy — with evidence of its version, source, and status.
ExploreCompliance Intelligence
Evidence-backed answers drawn from authoritative regulatory and policy sources your auditors can verify.
ExploreSOP & Quality Intelligence
Surface approved procedures instantly — traceable to the version and source your quality team signed off.
ExploreContract Intelligence
Turn institutional knowledge locked in contracts into a reusable, cited, and trustworthy asset.
ExploreEnterprise Search
AI search that returns verified answers — not a list of documents that may or may not be current.
ExploreKnowledge Management
Make organizational knowledge findable, fresh, and trustworthy across every team and system.
ExploreIndustries
Built for industries where wrong answers cost more than money.
Regulated, knowledge-intensive sectors where AI context must be verifiable, current, and audit-ready — not just relevant.
The Distinction
Retrieval finds information. Keel makes it trustworthy.
Standard RAG / AI Search
Retrieves information. Returns an answer.
Does not validate source authority, check whether the retrieved version is current, or detect conflicts between systems. Fast to build. Unreliable at scale.
Enterprise Search
Surfaces relevant documents.
Finds the document — but cannot tell you if it has been superseded, whether two systems disagree, or whether the user should have access to what it returned.
Keel
Makes enterprise knowledge trustworthy before AI uses it.
Source-connected, conflict-aware, version-verified context — every AI answer traced to an authoritative, current enterprise record your teams can verify and your auditors can trust.
Let's give your enterprise AI context it can trust.
See how Keel connects your enterprise systems to AI — and delivers answers that are verified, cited, and audit-ready across every team, workflow, and use case.
Keel — The Enterprise AI Context Trust Layer