About AI Deployment Authority

AI Deployment Authority helps companies identify where AI deployments can create meaningful business impact, increase revenue, and reduce operational bottlenecks.

Founder

Troy Assoignon is Founder @ AI Deployment Authority. ADA is built around two decades of technology and operating experience, with a focus on turning workflow problems into practical implementation decisions.

I started AI Deployment Authority because I was tired of watching companies buy another AI tool that never made it out of pilot. After two decades around real revenue, growth, and operating systems, the pattern became obvious: the missing piece usually is not another model. It is disciplined workflow deployment.

The workflow library is developed with AI-assisted research and drafting, then reviewed, edited, and stress-tested against operating constraints I have seen across SaaS, services, field operations, fundraising, sales, and growth work.

Why ADA Exists

Most companies do not need more AI enthusiasm. They need a clear view of which workflows are worth improving, what information those workflows require, where a person still needs to review the output, and what result should actually change.

Methodology

Find the workflow: Identify the repeated process creating delay, rework, missed revenue, or decision friction.
Map the evidence: List the forms, calls, notes, CRM fields, policies, examples, and approvals the workflow needs.
Set the review point: Define what AI can prepare and what a person must approve before anything reaches a customer or record.
Measure the result: Tie the workflow to response time, rework, missed steps, owner adoption, revenue, retention, or operating clarity.

AI Readiness Matrix

AI Readiness Matrix: Sample audits, scorecards, rubrics, briefs, workflow maps, and decision examples.
Sample AI Workflow Audit: See how the operating standard works before implementation.

Operating Background

Before AI Deployment Authority, Troy's work focused on positioning, revenue, and business growth across markets where execution matters. These proof points are not presented as AI case studies. They are background for the commercial lens ADA brings to AI deployment.

My background is commercial execution, not academic AI theory. I have supported positioning and growth work tied to a $50M real estate investment company, a $4.5M fundraise, a $619K charity raise, and $7.6M in SaaS growth. Those projects taught me that systems only matter when they change buyer behavior, team execution, or operating leverage.