ILLUSTRATIVE WORKFLOW
What the experience could look like.
An assistant gathers approved context and prepares an update. The user sees the proposed change, approves it, and receives a recorded result or a recoverable error.
DELIVERABLES / AGREED IN YOUR SCOPE
What a focused build includes.
One bounded workflow
Task boundaries, allowed tools, stop conditions and explicit approval points.
Tool contracts
Validated inputs, scoped credentials and authorization checks for each integration.
Recovery and traceability
Timeouts, retry rules, duplicate-action protection where needed and activity history.
Task evaluation
Successful completion, unauthorized-action rejection, recovery, latency and cost checks.
ACCEPTANCE
Measure the workflow, not the demo.
Compare complete tasks and operator interventions against a simpler scripted workflow. Add agent autonomy only where it improves the result.
BEFORE THE BUILD
Bring the inputs and the decision owner.
Documented APIs, integration rights, a process owner, test accounts and clearly defined actions. MCP connections require a security and authorization assessment.
RELEVANT FOUNDER EVIDENCE
Engineering you can inspect.
RegImpact AI supplies evidence of persisted review gates, asynchronous processing and retry discipline. Its workflow is not presented as a delivered MCP or autonomous multi-agent implementation.
SCOPE AND RESPONSIBILITY
Define the operating boundary.
MCP integration is assessed per tool and client. Multi-agent coordination is an optional pilot design, not a default architecture or a claim of existing enterprise deployments.