Intake and success criteria
We select one workflow, identify the users and define in advance what measurable success looks like.
Test governed AI on one concrete decision workflow, with human control, traceable sources and measurable results.
The pilot is deliberately bounded. Within weeks, you get real evidence of value without starting a large transformation programme.
We select one workflow, identify the users and define in advance what measurable success looks like.
AIRA works with real or safely anonymised data inside the agreed workflow.
Sources, assumptions, uncertainty, human controls and decisions remain visible.
You receive a demonstration, evaluation report and a concrete recommendation for implementation or follow-up.
Find relevant opportunities, assess fit and prepare an evidence-based go/no-go decision.
Analyse documents and arguments and show where evidence, counterclaims or human review are required.
Structure options, interests, rules and consequences with transparent human accountability.
Problem and feasibility
Data and success criteria
Build, test and review
Evaluate and scale
In an initial call we determine whether the workflow is suitable, which outcomes are measurable and what pilot scope is realistic.
Plan a pilot callAIRA Founding Pilot · Market validation
One workflow, one accountable owner and success criteria agreed in advance. A paid pilot tests the technology, the operational value, the governance fit and whether the customer wants to continue.
€2,000 from · excl. VAT · 4–6 weeks · Evidence before scale
Two commercial routes
Find, qualify and substantiate tenders, grants and commercial opportunities with less first-pass work.
Measure time, relevance and decision speedExplore business pilot → PUBLICImprove a policy, procurement or case workflow while keeping sources, corrections and responsibility visible.
Measure time, completeness, corrections and reproducibilityExplore public-sector pilot →The method
Define the problem, accountable owner, current effort, evidence needs, risks and credible success criteria.
Map actors, rules, data and dependencies; build one bounded governed workflow.
Run with real users and record sources, corrections, exceptions, outcomes and adoption signals.
Compare with the baseline and decide: stop, improve, continue, productise or scale.
Market validation
Is this problem important and costly enough that a real customer prioritises it?
Does AIRA create measurable operational value versus the customer’s own baseline?
Does the workflow fit governance, users and existing systems well enough to be used in practice?
Does the customer want to continue, expand, renew, refer or reuse the capability?
PRODUCT-MARKET FIT
AIRA currently describes product-market fit as in validation, not proven. PMF requires repeated behaviour across multiple independent customers: the same core problem, willingness to pay, measurable value, continuation or expansion and increasingly repeatable acquisition and delivery economics.
Clear starting point
Final scope and price follow the fit check. Data sources, integrations, security, assurance and organisational complexity determine the exact proposal.
Claim discipline
There is no defensible universal AI-savings percentage across organisations. Suitable workflows can improve materially, but task, data, adoption and controls determine the result. AIRA therefore measures against the customer’s own baseline and separates targets from proven outcomes.
FAQ
No. It proves evidence for that customer and workflow. PMF requires repeatable demand and value across multiple independent customers.
No. They are hypotheses for suitable workflows. The baseline sets the credible target and the final report shows the measured result.
No. AIRA supports analysis, preparation and bounded execution. An authorised professional remains accountable for consequential decisions.
Then we recommend no pilot. The first fit check is free and without obligation.
Choose an audience route or let Pilot Architect structure the first system and validation hypothesis.
PRIVACY · GOVERNANCE · CONTROL
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
Security management, access, risk and operational controls are developed against an ISO/IEC 27001 readiness baseline.
AI management
AI governance, human oversight and accountable lifecycle management are designed with ISO/IEC 42001 as a relevant reference framework.
AI risk management
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.