Frame complex questions with Pathfinder, analyse documents with ADA, or use Evidence Lab to inspect how AIRA exposes public sources, inferences and assurance.
One governed decision intelligence core · three applications · one inspectable interface with human control.
Live public data · Evidence lineage · Human review remains required
TECHNICAL DUE DILIGENCE
AIRA is not a foundation model or generic chatbot wrapper. The technical thesis is a provider-neutral governed decision intelligence layer that brings context, evidence, authority, interoperability and verification together. This public baseline gives CTOs, enterprise architects, CISOs and technical investors enough to assess the architecture without exposing proprietary implementation details.
AIRA sits between users and workflows on one side and models, data, agents and enterprise systems on the other. The governed intelligence core controls routing, context, evidence, policy, human authority and verification; underlying models remain replaceable where practical.
The public core sequence is: Prompt → Route → Mode → Lens → Knowledge/Memory → Validate → Card → Attest → Learn. Twin Terminal exposes a concrete runtime route through the Laravel layer to the AIRA analysis service; internal routing rules remain non-public.
Outputs are designed around provenance, evidence lineage, uncertainty and reconstructability. AIAR provides execution-proof objects; ADEC structures claim-evidence-argument relationships. External attestation is an assurance adapter, not the intelligence core.
Human authority remains explicit: review gates, bounded actions, escalation and deployment-specific policies determine what AI may advise, prepare or execute. Security, privacy and access controls are designed as system constraints rather than labels added afterwards.
AIRA is MCP-first where suitable, but not MCP-dependent. APIs, webhooks and adapters can connect existing ERP, CRM, document and case-management environments. Authentication, tenants, roles, retries, idempotency and observability belong to the integration boundary.
Attestation is configurable per deployment: Hyperledger Fabric, Hedera, both or off. Fabric supports permissioned governance and endorsement; Hedera can optionally provide public timestamp/order attestation. The use case determines whether a ledger layer is needed.
The live interfaces demonstrate working product and integration components; they do not automatically prove the full platform thesis. AIRA is in structured pilot validation, so claims about value, governance fit and scale become stronger only when they repeat across independent customers.
System roles, interfaces, governance principles and architecture contracts needed for technical scrutiny can be public. Proprietary routing logic, protected prompts, scoring rules, orchestration policies, source code and other trade-secret implementation details remain outside the public layer.
Pathfinder works best as a first intake for AI adoption, SME questions, digital strategy, policy questions, process improvement, area development and multi-party collaboration.
Prompt recipe for Pathfinder: Turn my situation into one strong Pathfinder prompt. The prompt should support a first assessment of a complex question, choice or situation. Use this structure: 1. Who is asking the question? 2. What is happening in concrete terms? 3. Which actors are involved? 4. Where are the tension, risk or uncertainty? 5. What should the first assessment deliver? Then write one compact prompt I can paste directly into Pathfinder. Use plain language, no marketing language. Keep it concrete, sober and practical.
A fast first structured assessment of a complex question
Pathfinder and ADA as applications; Evidence Lab as the live evidence mode
Not an open-ended chatbot response, but direction, focus areas and a next step
Prepared for connectable AI-agent workflows and an MCP-ready architecture
Pathfinder helps frame AI adoption, SME questions, digital strategy, organisational, policy, process and collaboration challenges and determine a first direction.
ADA helps with existing documents such as memos, policy notes, proposals and reports. The output identifies document type, risks and next steps.
AIRA supports professional judgement. Its output is a first machine-generated assessment and remains subject to human review.
Pathfinder and ADA are concrete applications; Evidence Lab exposes the research and evidence process. For a deeper strategic, policy or AI assessment, AIRA can take the analysis further.
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.