AI adoption assessment
Classify proposed AI use cases by data access, business impact, autonomy, external tools and required human decisions.
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COMPLY / AI
AI Governance & Control
Design AI adoption around permissions, human oversight, evidence and operational boundaries — so AI systems assist workflows without silently taking actions outside their authority.
Structured FiveCheckMate workflow
WHAT IT COVERS
Turn a complex requirement into visible control points.
Each engagement can be scoped around the records, systems, parties and decisions actually involved. The objective is to make responsibilities, evidence, open items and next actions easier to see.
Permission architecture
Define the identity, role, tools, data access, action limits and approval thresholds available to each AI system or agent.
Human-in-the-loop controls
Use a clear pattern: AI proposes → human approves → system executes → evidence is recorded.
Agent governance
Document what an AI agent may read, write, call, delegate, schedule or change — and what remains prohibited by configuration.
Audit trail & evidence
Record prompts, actions, approvals, outputs, exceptions and material changes where the system architecture permits.
Incident & kill-switch workflow
Prepare escalation, suspension, rollback and investigation procedures for unsafe or unexpected AI behaviour.
HOW WE SUPPORT
From risk assessment to continuous improvement.
Six stages that give every AI system a defined scope, an accountable owner and a record of what it did.
01
Assess
Identify where AI is used or planned, what data it touches and which decisions it can influence.
02
Authorise
Define who may deploy, configure or instruct each AI system, and what each role is permitted to do.
03
Constrain
Limit the tools, data, spend and actions available to the system, and set the conditions for stopping it.
04
Approve
Route consequential outputs and actions to a named human reviewer before they take effect.
05
Audit
Keep logs of prompts, decisions, approvals and overrides so activity can be reconstructed later.
06
Improve
Review incidents, near-misses and drift, then tighten the rules and update the records.
NEXT STEP
Build the right control workflow for your requirement.
Share the objective, parties, systems or transaction stage. FiveCheckMate can help define the information required, the workflow and the evidence to maintain.
Request an Enquiry →FAQ
Common questions
Can FiveCheckMate make an AI system legally compliant by itself?
Compliance depends on the use case, organisation, data, contracts and applicable rules. FiveCheckMate provides governance workflow and control design; specialist advice remains separate where required.
Can these controls stop an AI from assigning itself work?
The architecture can define explicit permissions, approved tools, task boundaries and human approval gates so autonomous actions are limited by configuration.
Does this apply to AI agents as well as chatbots?
Yes. The framework is intended for AI assistants, agents, workflow automations and other systems capable of accessing tools or taking actions.
Who should own AI governance inside an organisation?
Ownership works best when it is explicit: a named accountable executive, with input from technology, risk, legal and the business teams that use the system. FiveCheckMate helps document those roles and the approval paths between them.
Do small businesses need AI governance?
Any organisation that lets AI touch customer data, money or decisions benefits from basic rules on access, approval and records. The depth can be scaled to the size of the business and the risk of the use case.
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