Requirement-to-evidence mapping
Link each applicable requirement to its owner, relevant controls and supporting records. Distinguish evidence that a process is designed from evidence that it operated during the period under review.
Business platforms
Connect requirements, evidence, reviews and actions in an organised workspace.
Preparing for review becomes expensive when requirements, evidence and responsible people are scattered across different folders. A document may exist without being current, an action may be marked complete without acceptance, and a policy may describe a process that operational records do not demonstrate.
Kent Consultancy proposes an audit and compliance workspace that connects requirements to controls, evidence, review decisions and corrective actions. The aim is to make readiness visible and gaps manageable. The software supports your chosen assurance process; it does not replace professional judgement or certify compliance.
Link each applicable requirement to its owner, relevant controls and supporting records. Distinguish evidence that a process is designed from evidence that it operated during the period under review.
Record findings, responses and agreed deadlines with clear accountability. Track proposed closure separately from reviewer acceptance, including rejected evidence and changes to the original action plan.
Prepare a scoped evidence view for a particular review. Grant only the required access, retain the context behind each item and make the selected review period visible to participants.
Agree the review framework, organisational boundaries and applicable requirement versions with your responsible specialists. Record interpretation decisions instead of presenting software configuration as legal advice.
Define the relationships between obligations, controls, owners and records. Specify evidence dates, validity periods and acceptance criteria so a file attachment is not automatically treated as sufficient.
Build evidence requests, approval queues and finding responses. Include exceptions, extensions and escalation paths, with authority separated where independent review is required.
Apply document-level access where appropriate and control external sharing. Keep activity history and distinguish original evidence from commentary, extracts or AI-generated summaries.
Use representative requirements to test whether reviewers can reach a supported conclusion. Reconcile the evidence register and resolve broken links, missing context or ambiguous ownership before rollout.
The sequence is tailored to the agreed scope, dependencies and risk. It describes our delivery approach, not a fixed timeline or performance guarantee.
The proposal identifies the deliverables, acceptance evidence, responsibilities and support arrangements included in your engagement.
Measure requirements with accepted, relevant evidence against the agreed scope, rather than counting uploaded documents.
Track elapsed time to an adequate response and distinguish submission from independent acceptance.
Test how quickly authorised reviewers can locate the right record, period and explanation for a sampled requirement.
These are measures to discuss and baseline. Targets are agreed for the specific system and data; no universal improvement percentage is assumed.
No. The platform can improve organisation, traceability and visibility of gaps. Outcomes depend on applicable requirements, the quality of actual practice and the judgement of the reviewing body.
AI can help summarise records or identify apparent omissions. Its suggestions should be traceable to source material and reviewed by someone competent to judge the specific requirement and context.
We retain framework versions and assess the impact of changes on mapped controls and evidence. Existing conclusions remain tied to the version and review period under which they were reached.