A fixed-scope assessment for regulated teams that need evidence before a deeper enterprise pilot. We use Agentic Thinking's environment, API keys, reference agent, HookBus, AgentProtect, and synthetic data to show runtime evidence, policy enforcement, approval control, and governed playback operating against realistic actions.
Credited in full against a paid pilot signed within 30 days. No client data, no production access, no client credentials, and no heavy setup.
20-30 minutes. Confirm use case, stakeholders, sponsor, and evidence requirements.
Realistic agent scenarios. Governed execution. Evidence pack and playback delivered.
Evidence drives a 30-60 day paid pilot. Sprint cost credited in full if signed within 30 days.
Most enterprise teams cannot put a new agent-governance product into their estate on day one. Security, data protection, architecture, procurement, and budget owners need proof that the control plane is real before a 30-60 day paid pilot. This sprint creates that proof without touching your systems.
Agent actions are captured as AgentHook events and routed through HookBus, the runtime event bus.
AgentProtect returns allow, deny, ask, and human or agent-in-the-loop outcomes before actions proceed.
Events, decisions, approvals, and outcomes are captured into a playback-ready evidence trail.
If your current agent runtime exposes limited hooks, the sprint documents the gap and frames the vendor-readiness ask.
Agree two to four realistic AI-agent risk scenarios, expected allow, deny, ask, and escalation outcomes, and the evidence stakeholders need to see.
Run the workflow in Agentic Thinking's controlled environment using the reference agent. HookBus captures events and AgentProtect returns runtime decisions before execution.
Replay the agent request, policy trigger, approval path, decision, action outcome, and evidence record. Review gaps and the route into a paid pilot.
The assessment is not a walkthrough, presentation, workshop, or document review. Your team sees governed AI-agent execution operating against realistic scenarios.
A replayable record of request, policy trigger, approval path, decision, action outcome, and evidence.
What worked, what did not, hook coverage, control gaps, production-readiness implications, and pilot risks.
How the evidence maps to AI governance, audit-readiness, and runtime control requirements.
A one-page proposal for a deeper paid pilot using your capability context, test data, and estate-specific workflow.
Fixed scope, fixed price, designed to sit below a full enterprise pilot and reduce procurement drag.
The £5,000 is credited in full against a paid pilot signed within 30 days of the validation sprint.
No client data, no production system access, no client credentials, no security review bottleneck before evidence exists.