Workflow Infrastructure for Ops and RevOps

Fix the workflow Ops still protects by hand.

We build the connectivity and outcome layers between your tools and AI. Delegate complex execution across your stack using custom MCP servers and governed agent skills, so your team can stop babysitting workflows.

For teams carrying risky work across CRM, docs, inboxes, and internal systems.

Governed execution artifact

Policy OS

The workflow moves only when the rule is explicit. Safe actions continue. Risky actions wait for review. Disallowed actions stop with a reason.

Auto-run

Known action, valid tenant, no open exception.

Approval

Escalate when the workflow crosses a defined trust boundary.

Stop

Return a clear reason instead of turning the workflow into cleanup.

01
Trusted Connectivity

Custom MCP servers keep your data secure and control exactly what AI can see or touch.

02
Governed Execution

Agent skills that follow strict runbooks. Safe actions clear automatically; high-risk edge cases wait for your approval.

03
Guaranteed Outcomes

Production-grade infrastructure anchored by regression checks and monthly tuning.

How Engagements Progress

Start with the workflow creating the most drag. Map the trust boundary first. Only narrow, low-risk workflows qualify for a pilot. Policy OS starts when governance matters.

1
Step 1

Workflow Mapping Session

Most teams start here. I map handoffs, exceptions, approvals, and the right path into pilot, Policy OS, or enterprise scope.

2
Step 2

Qualified Pilot Path

If the workflow is narrow, the owner is clear, and the risk is manageable, it may qualify for a constrained MCP Hub pilot.

3
Step 3

Policy OS

This is the paid product. It adds approvals, blocked states, release checks, and reason-coded governance to live workflows.

4
Step 4

Enterprise Extension

Add this when several systems, teams, or compliance boundaries need one governed operating model and clean recovery paths.

Offer Ladder

Each offer answers the same questions: what gets fixed first, what needs review, and what your team inherits after launch.

Workflow Mapping Session

The diagnostic path for ambiguous, risky, or cross-functional workflows that need a clear trust boundary before build approval.

Includes
  • Handoff and failure-mode map
  • Approval boundary recommendation
  • Pilot versus Policy OS routing
  • 30-day implementation direction

Qualified MCP Hub Pilot

A constrained start for one narrow workflow with clear ownership, limited risk, and a checkpoint before expansion.

Includes
  • Workflow qualification review
  • Scoped host and integration setup
  • Constrained operating boundary
  • Checkpoint for promotion or stop

Enterprise Extension

Cross-system control for workflows that need audit trails, recovery paths, and coordination across teams.

Includes
  • Cross-system orchestration
  • Audit and review controls
  • Recovery design
  • Architecture support

The Model

Connecting tools is getting easier. Governing live workflows is not.

The hard part is deciding what can run automatically, what needs approval, what needs a human checkpoint, and when the workflow should stop with a reason. That is the work.

  • Low-risk workflows can start narrow when the owner, boundary, and checkpoint are clear.
  • Safe actions run automatically once the workflow and tenant are in good standing.
  • Risky actions route to approval instead of becoming cleanup.
  • Disallowed actions stop with a reason buyers and operators can both understand.

When a client primarily needs full system development and team onboarding, I refer that engagement to Half Dozen directly.

Reliable workflows are the product. Operational leverage is the outcome.

Governed Execution

Policy OS

Hub MCP routes the request, and Policy OS decides what can run automatically, what waits for approval, and what stops with a reason.

Client LLM
Ops Inbox
Background Agent
Routes
Hub MCP Tenant, host, session
Decides
Policy OS Reason-coded governance
Auto-allowApprovalBlock
CRM
ERP
Workflow System

Safe actions run fast. Risky actions route to approval. Disallowed actions stop with a reason.

Operating Artifacts

What makes the workflow dependable

The buyer promise is backed by explicit contracts, runbooks, and release evidence, not by founder memory or hidden prompts.

Connectivity

mcp_contract.yaml

Tools, resources, auth scope, and transport boundaries.

Behavior

agent_contract.yaml

Allowed actions, approvals, escalation triggers, and operating limits.

Outcome

outcome_contract.md

Success metrics, fallback triggers, and ownership boundaries.

Operations

runbook.md

Recovery steps, operator lanes, and rollback expectations.

Proof

golden-task checks

Regression evidence that keeps releases tied to real workflow behavior.

Map the workflow your team still protects by hand.

In one session, I will map the handoffs, approval points, failure modes, and artifact bundle the workflow needs.