Kram Control Manager brings structure to control testing — from RACM and evidence requests to sampling, tester-reviewer workflows, deficiency tracking and management reporting.
Control testing trackers built in Excel become unmanageable across cycles, controls and testers. Version confusion is constant.
Testers chase control owners over email for population data and evidence. Delays accumulate and testing timelines slip.
Population submissions are incomplete, inconsistent or unverified. Sampling logic is applied without validating the base data.
Sample size decisions vary across testers and cycles. There is no standard approach to frequency-based or risk-based sampling.
Reviewers struggle to track which controls have been tested, which have exceptions and which deficiencies are open.
Testing status summaries, deficiency reports and management dashboards are prepared manually at the end of every cycle.
Define or import your control library with objectives, frequency, risk linkage and ownership.
Roll over controls to a new testing cycle. Update ownership and testing scope as needed.
Assign control owners, testers and reviewers to each control or control group.
Send structured requests to control owners for population data and supporting evidence.
Testing team accepts population data and generates samples based on frequency and risk logic.
Control owners upload evidence. Testers perform testing and document observations.
Reviewers work through their queue, review testing documentation and approve or return.
Exceptions are escalated to deficiencies. Severity is assessed and remediation owners are assigned.
Real-time view of testing status, open deficiencies and control coverage across the cycle.
Start with structured testing workflow. Add AI assistance when ready. Build towards portfolio-level control assurance intelligence over time.
Structured end-to-end control testing workflow covering RACM, evidence requests, sampling, testing, review and deficiency management.
AI assists testers and reviewers throughout the testing cycle — from control design review to evidence adequacy checks and deficiency drafting.
AI moves from assisting individual testing steps to providing portfolio-level control intelligence, pattern recognition and management reporting.
Request a demo and see how Kram Control Manager can support your IFC / ICOFR / SOX testing programme.
Request Demo →