We map decision ownership before automation runs. For every AI or automation initiative, we figure out who owns each decision, what boundaries apply, when someone needs to escalate, and what should never be automated. You get a governance framework your teams can build against and your board can approve.
Most AI governance work focuses on ethics policies, risk assessments, and compliance documents. We focus on operational control: the specific decisions automation will make and who owns them. Policies tell you what you should do. Decision mapping tells you who decides, when, and within what limits.
The Big 4 serve enterprise clients at $500K+ per engagement with 6-12 month timelines. Their frameworks assume you have 10,000+ employees and a billion-dollar IT budget. For mid-market companies, that is overbuilt, overpriced, and takes too long.
Mesa Point delivers initiative-based decision mapping in 4-6 weeks at a fraction of the cost. Our platform automates the documentation and reporting work that makes traditional engagements so expensive.
No. We define who decides. Your internal teams or implementation partners build the systems. We create the governance framework, decision boundaries, and technical specs they need to build it right. We stay involved through deployment to make sure what gets built matches what was approved.
They can, if they have the time, methodology, and organizational standing to interview stakeholders across departments and make binding governance decisions. Most internal teams are building, not governing. We come in as a neutral third party with a proven process and platform. What would take your team 6+ months, we finish in weeks.
Because governance defined after deployment is remediation. When AI systems are already making decisions without clear ownership, you are not governing. You are reacting. The cost to retrofit governance into live systems runs 3-5x higher than defining it upfront. And the risk exposure until then? Unlimited.
A 1-week, $5K engagement where we assess your decision architecture, identify high-risk automation areas, and deliver a scoping report with a fixed-fee proposal. If you move forward, the $5K gets credited toward the full engagement. Low-risk way to see if there is a fit.
4-6 weeks for a single initiative. 8-12 weeks for multiple initiatives. Longer for complex enterprise environments. Timeline depends on how many decisions we are mapping and how many departments are involved.
Four things: (1) Decision Ownership Matrix with ownership, thresholds, and escalation paths. (2) Board-Ready Executive Summary covering what gets automated, what needs oversight, and risk assessment. (3) Engineer-Ready Technical Specs with decision logic your team can build from. (4) Governance Playbook for ongoing monitoring and review.
You own everything we create. We transfer capability to your team so you can maintain and evolve decision governance on your own. We offer optional quarterly reviews if you want ongoing validation, but the goal is self-sufficiency, not dependency.