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AIRA · Governed Decision Intelligence

Start with the workflow that costs time, attention or decision quality.

AIRA combines advisory, pilots and reusable technology. We begin with a real organisational problem, prove value and control, and productise patterns that repeat.

01

Less manual work

Reduce repetitive searching, reading, comparing and first-pass analysis.

02

Faster analysis

Bring relevant information, rules, evidence and uncertainty together sooner.

03

Better decisions

Make context, consequences and decision responsibility more explicit.

04

Keep control

Preserve human authority, traceability, governance and architectural flexibility.

Four commercial beachheads

Four practical ways to start with AIRA.

From service to product

Paid pilots are also market validation.

A pilot must prove more than technical feasibility. It tests whether the customer problem is real, whether measurable value is created, whether governance fits the workflow and whether the customer wants to continue, expand or reuse the capability. Repeated signals across independent customers are what move AIRA toward product-market fit.

Market validation through pilots →

Technology underneath

One governed intelligence core. Multiple entry points.

Pathfinder, ADA, Twin Terminal, evidence structures, governed memory, assurance and interoperability sit behind the user-facing solutions. Models, tools and runtimes can evolve without redefining the AIRA core.

Explore AIRA Technology →

Start with one costly workflow.

If the problem is measurable and governable, we can translate it into a bounded pilot with an explicit baseline and success criteria.

PRIVACY · GOVERNANCE · CONTROL

Trust is a system requirement.

AIRA treats data minimisation, purpose boundaries, human review, traceability and deployment-specific governance as design constraints—not as a legal badge added afterwards.

We avoid blanket claims that every deployment is automatically GDPR- or AI Act-compliant; applicable obligations depend on the organisation, data, role and use case.

Information security

ISO/IEC 27001 readiness

Security management, access, risk and operational controls are developed against an ISO/IEC 27001 readiness baseline.

AI management

ISO/IEC 42001 informed

AI governance, human oversight and accountable lifecycle management are designed with ISO/IEC 42001 as a relevant reference framework.

AI risk management

ISO/IEC 23894 informed

AI risk identification, assessment, treatment and monitoring are informed by the ISO/IEC 23894 risk-management framework.

Reference frameworks and readiness direction only; this does not claim certification.