Step 01
Find the workflow
Identify the repeated process creating delay, rework, missed revenue, or decision friction.
About AI Deployment Authority
Practical AI deployment for work that actually moves revenue.
We help growing companies choose practical AI workflows, define the evidence each one needs, and set the review points before outputs reach customers or records.
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.
Technology and implementation work across service businesses, construction, events, SaaS, consulting firms, and professional services.
Commercial execution tied to a $50M real estate investment company, a $4.5M fundraise, a $619K charity raise, and $7.6M in SaaS growth.
A practical bias toward revenue leaks, bottlenecks, handoffs, missed follow-up, and workflows that can be improved without adding complexity.
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.
ADA studies and maps AI deployment through that lens. The goal is not to make AI feel impressive. The goal is to help companies decide where AI can meaningfully increase revenue, reduce leakage, clean up handoffs, and remove bottlenecks from the work their teams already do.
Revenue Workflow Toolkit
The public artifacts show the operating standard.
ADA publishes sample audits, scorecards, rubrics, briefs, workflow maps, and bottleneck examples so buyers can inspect the method without confusing examples for client case studies.
Institutional Layer
The authority comes from a public standard, not from policy language.
ADA maintains the Revenue Workflow Deployment Standard: the practical test used to decide whether a workflow is ready for AI-assisted operation. It defines the business number, trigger, required evidence, AI role, human review point, stop rule, measurement event, and scale decision.
Methodology
We start with the workflow, not the tool.
Step 02
Map the evidence
List the forms, calls, notes, CRM fields, policies, examples, and approvals the workflow needs.
Step 03
Set the review point
Define what AI can prepare and what a person must approve before anything reaches a customer or record.
Step 04
Measure the result
Tie the workflow to response time, rework, missed steps, owner adoption, revenue, retention, or operating clarity.
Operating Background
Revenue experience before the AI deployment era.
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: find the bottleneck, connect the work to revenue, and make the implementation useful.
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.
$50M real estate investment positioning support
$4.5M raised for a fund
$619K raised for a charity
$7.6M SaaS growth support
Who We Serve
Built for operators, not AI committees.
Construction companies
Service businesses
Event companies
SaaS companies
Consulting firms
Professional service firms
Strategy Session
Find the workflow where AI can make the clearest business impact.
Use the session to discuss revenue leaks, bottlenecks, workflows, data readiness, and whether AI should prepare, route, review, summarize, or stay out of the process.
AI Deployment Authority is a commercial research, advisory, and implementation platform. It is not a government agency, official regulatory body, or formal standards enforcement entity.