Turn a fragmented MarTech stack and scattered AI agents into a governed revenue architecture — with explicit data ownership, human approval gates, exception paths, QA, monitoring, and rollback by design.
Every ungoverned workflow is a latent incident. As your stack grows, the failure surface grows faster than your team does — and the cost of a single undetected exception compounds silently.
AI agents make claims and take actions your legal, compliance, and brand teams never reviewed. You find out when a customer complains — or when legal gets involved.
Data collected for one purpose flows into automations designed for another. Consent records don't travel with the data. Liability does.
Two automations update the same CRM record. Neither knows the other exists. Your system of record becomes a system of unresolved conflict.
You automate a flawed segmentation. The workflow executes 45,000 times. The error propagates across every downstream system before anyone notices it exists.
32 paid tools. 21 actively used. 7 redundant. The rationalisation never happens because no one owns the decision — or the data required to make it.
An AI agent trained on last quarter's playbook operates on this quarter's data. No human gate. No rollback procedure. No incident record. No accountable owner.
Revenue Automation Control Plane™ is a guided implementation engagement built on a local-first operating workbench. You leave with a defined architecture for your entire automation stack — with explicit ownership, approval workflows, exception paths, QA gates, and rollback procedures already embedded.
We define data ownership, system-of-record contracts, and approval hierarchies before you touch a single automation — not after the incident report is filed.
Every automation backlog item is scored on value, feasibility, and risk. Every agent release passes a defined gate sequence with documented human approval checkpoints.
Every workflow carries a documented rollback path, exception route, and stop trigger. When something fails, you know exactly who owns the recovery and what it costs to execute it.
The engagement begins with a scored baseline across all eight control dimensions — establishing exactly where you stand and where the gaps are compounding into cost.
Not a template pack. A complete operational system delivered, configured, and populated with your real data during the engagement.
The Workflow Dependency & Blast-Radius Engine is operated with your own workflows, agents, systems and governing configuration. It turns those records into dependency maps, exposure signals and exportable operating work — something the team can run from after the engagement, not a slide that gets archived after kickoff.
Workspaces & Registers
Map every tool by layer, owner, monthly cost, utilization, and redundancy. Get to a defensible decommission decision with data, not opinion.
Score every use case on value (1–5), feasibility (1–5), and risk (1–5). Maintain one prioritized, approved backlog with assigned owners and approval status.
Document every AI agent's purpose, knowledge source, tools, human gates, prohibited actions, owner, and version. Auditable from day one.
Define triggers, primary actions, system writes, SLAs, exception routes, rollback paths, and accountable owners for every workflow in the stack.
Track every campaign from brief to health score. One source of truth for objective, audience, approval, budget, launch date, and current status.
Calculators & Playbooks
Input hours saved, blended hourly cost, incremental tools, and gross profit. Get a defensible payback period for the board conversation — populated with your actual numbers.
Paid vs. actively used tools, redundancy count, and critical capability coverage. Converts the rationalisation discussion from opinion to data with one number that moves budgets.
Model your exception rate against action volume and control coverage. Quantify unmanaged risk in dollar terms before the next incident forces the conversation.
Architecture Sprint, Human-Governed Agent Release, and Campaign Operations Cadence — each with explicit step sequences, decision gates, and documented exception paths.
Print-ready executive report, CSV/JSON export, and full source traceability to 30 rebuilt knowledge units across 15 volumes — all with clickable source URLs.
The $50,000–$250,000+ investment covers a complete guided engagement — not file delivery. Every phase is designed to transfer capability and ownership to your team, not dependency on ours.
All editions include the full operating workbench. The engagement scope, team size, delivery rights, and support terms vary by edition.
For one internal team or business deploying the architecture internally with adaptation rights.
For consulting and agency delivery across a defined number of client accounts.
For multi-team, multi-region, or multi-brand deployment with enterprise governance at scale.
For approved resellers and institutional programs with a fixed client or deployment allowance.
Pricing is separated into: IP / license · Discovery · Customization · Integration · Facilitation · Training · Support · Updates · Additional teams or deployments.
The system is only declared operational when every workspace has an owner, current data, a decision cadence, a source of truth, a risk route, and an exportable decision record. We don't hand off until that bar is cleared.
⚠ Governance Categories Covered at Handoff
All privacy, consent, and platform-policy claims reviewed and jurisdiction-flagged. Automation-layer consent coverage verified across all active workflows before production.
Every AI agent has a defined human gate, prohibited action list, version record, and rollback owner. No agent reaches production without a documented incident-response path.
Systems of record are contractually defined before automations write to them. Conflicting write paths are resolved in the Architecture Sprint — not discovered in production.
The operating architecture carries the same evidence discipline as the Knowledge Hub behind it: observed facts stay separate from interpretation, context stays attached to the numbers, and high-impact outputs receive human review.
For leaders whose automation environment has outgrown ad-hoc ownership and now requires an operating architecture that can be governed, explained and handed over.
The executive charter session establishes the commercial objective, scope, decision rights, affected systems, constraints and operating metric before either side commits to implementation. It is a scoped diagnostic conversation — not a generic sales presentation.
Revenue Automation Control Plane™ · v3.0 · $50,000–$250,000+ · Guided Implementation Engagement · 90-Day Deployment · CMOs, CROs, RevOps Leaders