— Process
— How it works
Five steps from raw data to always-on assurance — with two more for the loop after closure.
01 / 07
Connect data sources
Integrate core banking, ERP, HR, finance systems, audit logs, policy repositories, spreadsheets and data warehouses through pre-built and configurable connectors.

02 / 07
Map risks, controls and audit logic
Define control rules, thresholds, KRIs and testing procedures. Reuse a governed library across engagements and business units.

03 / 07
Monitor continuously
Schedule recurring checks or trigger near-real-time tests on transactional events. Detect control deviations and anomalies as they occur — across the full population.

04 / 07
Investigate with the AI Copilot
Copilot summarises exceptions, identifies recurring patterns, drafts observations and recommends next actions — always under auditor review with source citations.

05 / 07
Manage audit outcomes
Track issues end-to-end with management responses, action plans and aging analytics. Generate reports for the audit committee in clicks, not weeks.

06 / 07
Close the loop with re-tests
Every closed observation is scheduled for automated re-test, with regression alerts the moment a previously-closed issue reopens.
07 / 07
Report to the committee
Live dashboards, exportable evidence packs and committee-ready narratives drawn from the same governed system of record.
— Up Next: Use Cases
