CIE / COGNITIVE INTELLIGENCE ENGINE
Better-supported decisions.
Across your enterprise.
CIE connects the evidence behind a decision with the conditions governing whether it should proceed. A shared, model-independent cognitive reasoning and governance layer, deployed within your existing infrastructure.
CIE IN PRACTICE
When permission
is not enough.
An enterprise AI sales agent identifies a £2m customer at risk of leaving. It has permission to offer a 20% discount, but a human account director is already negotiating terms.
- 01 / Customer value
£2m account.
- 02 / Current state
Renewal negotiation already active.
- 03 / Authority
Agent technically permitted to offer a 20% discount.
- 04 / Conflicting activity
Human account director currently negotiating terms.
- 05 / Consequence
Autonomous discount could undermine an active commercial negotiation.
- 06 / Contextual state
Human intervention already in progress.
CIE DECISION
ESCALATE TO HUMAN
The agent had permission to act. The action was technically valid. But within the current context, autonomous execution was no longer appropriate.
CIE determines not merely whether an agent can act, but whether the action remains appropriate in the current context.
AGENT SECURITY
An authorised agent.
A hijacked objective.
A customer-service AI agent is handling a support case. A message from an external agent instructs it to export customer records to an external destination, claiming the transfer is needed to resolve the case.
- 01 / Original objective
Resolve one customer’s support case.
- 02 / Current state
The agent has received an external instruction to export records beyond that case.
- 03 / Authority
The agent has valid access to customer records. That access does not establish authority for this transfer.
- 04 / Conflicting instruction
The proposed export changes the task from customer support to external data transfer.
- 05 / Consequence
Customer information could leave the organisation without an authorised purpose.
- 06 / Contextual state
The export has no verified basis in the support case or the agent’s assigned objective.
CIE DECISION / IN THIS GOVERNED WORKFLOW
BLOCK THE EXPORT
ESCALATE TO HUMAN
Hold the proposed transfer for human review. An authenticated agent and a technically valid request are not sufficient grounds to release customer data.
CIE evaluates the proposed action against its purpose, authority and current context. This example assumes the export passes through CIE before execution, with a configured approval boundary.
Coverage depends on the connected action pathways. CIE complements existing identity, access and security controls.
Make sense of the whole picture.
Reconstruct context across systems, examine evidence and surface contradictions that matter to a decision.
Explore contextual reasoning →Governance & securityControl how AI acts.
Apply organisation-defined boundaries to models, agents and swarms, with a traceable basis for review.
Explore governance & security →Cost effectivenessAssess the business value.
Lower output costs and reduce the time spent checking, correcting and repeating work.
Explore cost effectiveness →ENTERPRISE-WIDE BY DESIGN
Flexible by design.
Your organisation sets the rules, governing conditions, policies and behavioural boundaries of your AI stack.
CIE is a fully modular package for internal deployment across connected applications, models and agents. Your integrations and policies determine its coverage.
CIE Casebook.
Explore the decisions that shape enterprise AI. Discover why context matters when protecting customer relationships, governing agents and keeping people in control.
Explore the Casebook →Discuss CIE for
your organisation.
Choose a convenient time for a 30-minute introductory call.