Transaction systems
Reliable writes, business rules, reconciliation and access controls.
Connectors, document processing, AI agents, permissions and monitoring form a shared engineering foundation. Each engagement adds its own data, rules and approval workflow.
Reference architecture and simulated workflow. Capabilities and deployment readiness are validated for each engagement.
For an insurer, this can support claims review. For a ministry, it can connect citizen demand, existing provision and delivery gaps. The records and access rules remain specific to each customer.
Request → permission check → source retrieval → AI-assisted work → human approval → system update and audit.
Choose the interface type to review its current public evidence and the checks needed during discovery.
| System or interface | Readiness today | Evidence needed to advance |
|---|---|---|
| Customer and ministry APIs REST / JSON · API gateway | Needs assessment No named system, version or successful test is published. | Review API documentation, sandbox credentials, scopes, rate limits and read/write behaviour. |
| Legacy databases and registries SQL / customer-managed records | Needs assessment The architecture supports connecting systems of record; no specific database connector is evidenced. | Confirm database, schema, network route, least-privilege access and reconciliation rules. |
| Documents and spreadsheets PDF · scanned files · CSV · XLSX | Adapter unverified Document intelligence is described; supported formats and extraction test results are not published. | Test representative files, languages, scan quality, field accuracy and source citations. |
| Identity and single sign-on Customer identity provider · SSO | Needs assessment Role and permission controls are described; no named identity-provider test is published. | Validate protocol, role mapping, user lifecycle, audit events and security review. |
| Events and notifications Webhooks · queues · event bus | Needs assessment Event based integration is part of the architecture; no named provider test is published. | Confirm event contract, delivery guarantees, retries, idempotency and monitoring. |
| Commercial or open models Hosted endpoint · private model service | Needs assessment Model choice is an engagement decision; no production endpoint or benchmark is published. | Agree model, data boundary, licence and evaluation set; test quality, latency and cost. |
This is a public evidence register, not a claim that no internal work exists. IRAH should update each row when it can publish a system name, version, test date and permitted evidence.
Commercial APIs and open models are candidates, not a fixed commitment. Selection follows an evaluation on your workflow.
Use rules or smaller models for simple tasks and reserve larger models for exceptions. Measure the whole workflow cost, including review.
Evidence: cost per accepted task, latency and escalation rate.These are deployment approaches to assess. Support, recovery targets and infrastructure requirements are confirmed in the project scope.
Use a dedicated network and restricted endpoints, with identity and logging integrated into customer controls.
Customer: network and security approvals. IRAH: application integration and agreed operational support. Model hosting is decided separately.
Choose a use case, then step through its input, checks, human review and conclusion. All records and figures below are illustrative; the demos do not connect to live systems or make decisions.
Sample input: Synthetic inspection notes + asset register + maintenance history
The operations manager receives one traceable worklist and approves, revises or defers each action.
Conclusion: 2 assets for priority review · no work order is dispatched automaticallyOne workflow, agreed data sources, connector readiness, hosting responsibilities, acceptance measures and an estimate of delivery effort.
Reliable writes, business rules, reconciliation and access controls.
Model evaluation, grounded evidence, confidence and human decisions.
Recovery, observability, source integrity and auditable workflows.