Context integrity before reliance
Check whether the context entering your AI workflow is still appropriate to rely on.
FreshContext evaluates retrieved, stored and tool-produced information against explicit identity, applicability, time, provenance, source and policy boundaries before a model, agent, workflow or human decision depends on it.
Fixed-scope, human-reviewed engagements. No platform migration is required for the initial assessment.
- Task context
- Customer asks for the current Pro-plan price.
- Carried answer
- Pro is $49 per user per month.
- Current source
- “Pro — $59 per seat / month, billed annually”
- Applicability
- Same product and plan; current pricing period.
- Source
- help.example.com/pricing
- Review state
- Changed — evidence preserved for review
The problem
Relevant is not the same as ready to rely on.
A retrieval result can be semantically relevant and still belong to the wrong product, plan, version, geography, time period or source state. FreshContext evaluates that boundary explicitly.
Context changes
Prices, plans, policies, releases and source pages move while stored answers and memories remain.
Scope matters
Fresh information can still be wrong for the exact entity, version, region, plan or task being handled.
Evidence matters
A decision should preserve what was observed, when it was read, what it supported and why it was accepted, held or escalated.
See eight synthetic failure classes in the Context Integrity Failure Atlas →
Commercial engagements
Assess first. Integrate where the control is justified.
FreshContext engagements are scoped around the workflow and decision being protected, not seat counts.
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One workflow · US$25,000 fixed
Context Integrity Assessment
Independent assessment of one defined AI, RAG, agent, support, retrieval or knowledge workflow, including reviewed findings, evidence, remediation priorities and an executive readout.
See scope and terms -
Two workflows · US$50,000 fixed
Multi-Workflow Assessment
Compare two materially distinct workflows, map common and workflow-specific integrity risks, and receive an integration architecture recommendation.
See scope and terms -
Implementation · From US$125,000
Embedded Context Integrity Integration
Place FreshContext at one defined decision point with agreed architecture, configuration, acceptance criteria, testing, documentation and handover.
See implementation scope
Claim discipline
We keep evidence, uncertainty and capability boundaries explicit.
FreshContext is designed to support reviewable decisions, not to manufacture certainty.
Unresolved stays unresolved
If the available evidence cannot settle a claim, FreshContext does not quietly convert uncertainty into approval.
Applicability is explicit
Identity, version, time, source role and workflow policy can matter independently of semantic similarity.
Evidence is preserved
Where supported, the decision record retains the observation, timing, scope and reasoning needed for later review or replay.
Human review remains visible
The current commercial assessment is human-reviewed. We do not present it as a fully autonomous operating service.
Signatures do not create truth
A signed record can protect integrity and attribution; it does not make the original source factually correct.
Deployment claims stay bounded
Assessment, integration and production acceptance are separate scopes with separate evidence and obligations.
Where it fits
Between information arriving and the next system relying on it.
FreshContext is designed as a reusable context-integrity layer that can be integrated into different AI, retrieval, agent and human-review workflows through bounded interfaces and workflow-specific configuration.
It does not replace vector databases, agent frameworks, help desks, model guardrails or governance systems. It addresses the narrower question of whether supported context is appropriate to rely on at a defined decision point.
Tell us where context enters the workflow, and what happens if it is wrong.
We will tell you whether the problem fits a bounded Context Integrity Assessment before any commercial work begins.