CONTEXTUAL REASONING
Better-grounded AI.
Clearer decisions.
Give AI the right evidence for the task, the project and the purpose. CIE connects information with its history, sources and governing conditions to support more accurate, relevant outputs and better-informed decisions.
THE VALUE
Better-supported answers
Ground AI output in relevant evidence, its provenance and current validity. Surface contradictions and missing support so reviewers can focus on what needs attention.
Keep each project in context
Keep project evidence, reasoning history and saved results separate. Explicit project and purpose permissions control which context each user or integration can access.
A connected evidence picture
Reduce the work of reconstructing history across applications, records and prior actions.
Contradictions made visible
Bring conflicting evidence into the reasoning behind an action, so it can be examined rather than overlooked.
A clearer basis for review
Use context lineage and evidence reasoning to support accountable professional judgement.
HOW IT WORKS
From information to
contextual reasoning.
AI already uses prompts, history and retrieved information. CIE’s role is to reconstruct context across systems and connect evidence, contradictions and prior activity to decision reasoning.
01 / Connect
Enterprise event ingestion brings information from connected systems into the cognitive layer.
02 / Reconstruct
Context reconstruction and lineage establish the history and sources relevant to the decision.
03 / Examine
Evidence and decision reasoning, including contradiction detection, examine how the information relates.
04 / Govern
The resulting reasoning supports policy and behavioural controls, with decision and audit receipts.
ACROSS INDUSTRIES
Use cases
Healthcare
Support a shift from episodic measurement to longitudinal, context-aware health management. Connect diagnostics, medical technologies, biomarkers, wearables and clinician- and client-reported information with behavioural, environmental and real-world context. Follow responses to interventions as circumstances change, supporting a medically governed feedback loop for more personalised decision support, continuity of care and outcome tracking.
Health apps & wearables
Turn continuous readings into a more meaningful picture of the individual. Connect activity, sleep and other wearable measurements with user-reported symptoms, routines, interventions and changing circumstances. Contextual reasoning helps distinguish a change in the readings from a change in the person’s situation, supporting more relevant feedback and a clearer history for professional review. Keep each person’s information within its authorised project and purpose.
Finance
Give investigators a connected account of the activity behind a transaction or proposed decision. Bring together customer history, supporting documents, related events and policy across systems. Surface conflicting evidence and relevant prior actions to focus review, reduce repeated reconstruction and preserve a traceable basis for escalation or approval.
Law
Build a clearer account of what happened, what changed and which evidence supports each position. Reconstruct chronology across correspondence, contracts, statements and records, preserving the distinction between allegations, source material and established findings. Help legal professionals examine contradictions, follow provenance and prepare a reasoned account with less manual cross-referencing.
Medicine & pharmaceuticals
Support better-informed research and safety review by connecting findings to the conditions in which they arose. Reason across study protocols, evidence versions, reported outcomes and safety observations, preserving provenance and distinguishing hypotheses from validated findings. Surface contradictions and changes that warrant expert investigation, helping teams assess whether new evidence changes an earlier interpretation.
Transport
Give operational teams a fuller basis for responding to disruption. Connect maintenance history, current operating conditions, scheduling constraints and previous incidents so proposed actions can be reviewed in context. Help teams identify conflicting instructions and dependencies, investigate exceptions and retain the reasoning behind operational decisions.
Shipping
Reduce the effort of resolving exceptions across a shipment’s journey. Bring together cargo requirements, shipment records, schedules, handovers and changing instructions from connected participants. Preserve who supplied each update and when, surface conflicting information and help teams assess its implications for the next action.
AI infrastructure
Provide a shared reasoning layer across the organisation’s connected AI environment. Relate model and agent activity to enterprise evidence, policy, prior behaviour and interactions between agents. Combine context lineage, contradiction detection and recursive reasoning controls to support consistent governance and a traceable basis for reviewing actions across systems.
WITHIN YOUR EXISTING INFRASTRUCTURE
One shared cognitive layer.
Designed for Microsoft / Copilot / Power Platform, enterprise applications, AI models and APIs, agent architectures and private or self-hosted deployments. Integration and your policies determine which activity passes through CIE.
Enterprise systems
CIE
Reasoning & governance