Intake
Classify request, tenant, data sensitivity, and business priority.
Structured eventClaude-first business operations / implementation proof
A working model for connecting skills, workflows, tools, approvals, and human exceptions into dependable business operations—not a black-box chatbot.
01 / CONTROL PLANE
Classify request, tenant, data sensitivity, and business priority.
Structured eventSelect a Claude skill, tool boundary, and allowed action path.
Capability contractRequire approval for money, external sends, credentials, or ambiguity.
Decision recordWrite outcome, artifacts, owner, and next condition into the system of record.
Replayable evidenceOne skill per clear operational behavior: lead qualification, intake normalization, approval routing, reporting, and exception recovery.
Each connector gets an explicit read/write boundary, input contract, retry policy, and safe failure mode.
Operational memory points to the live record, with freshness rules and a visible confidence state.
Every run emits a trace: what happened, which policy allowed it, what changed, and who owns the next step.
02 / INTERACTIVE WORKFLOW SIMULATOR
These scenarios illustrate how I would model client and internal operations during discovery and the first controlled release.
A structured intake arrives with agreed scope, key contacts, and a requested kickoff window.
No external system is contacted in this demo.
03 / MINIMUM-INTERVENTION, NOT MINIMUM-CONTROL
Human approval stays explicit
Funds, contracts, external commitments, credentials, and ambiguous decisions are never silently executed.
Failures have owners
Retries are bounded; unresolved failures become an assigned exception with context—not an invisible loop.
Read before write
The OS confirms current state and prevents duplicate actions before any consequential change.
04 / FIRST 10 BUSINESS DAYS
Inventory connectors, roles, current skills, existing workflows, data classes, success metrics, and failure points.
Deliverable: operating map + risk registerDefine input/output schemas, tool permissions, approval gates, logging, fallback paths, and test fixtures for the first workflow.
Deliverable: signed-off capability contractsImplement one end-to-end internal or client path with synthetic tests, observable runs, and human escalation.
Deliverable: working pilot + runbookReplay edge cases, document operating ownership, measure outcomes, and decide whether the next capability may be automated.
Deliverable: evidence pack + roadmapRELEVANT EXECUTION CONTEXT
Previously helped a hair salon connect HoneyBook operations into GoHighLevel, grounding the work in real intake, lifecycle, and follow-up needs.
Designed and operated guarded Stripe/CRM reconciliation workflows where correct identity matching, auditability, and human approval matter more than raw automation speed.
Configured and audited a local, owner-controlled agent workspace with explicit skill routing, browser/control boundaries, watchdogs, and evidence-based recovery.