Check 01
Business number
The workflow is tied to revenue, margin, speed, capacity, conversion, retention, customer experience, rework, or decision quality.
ADA Deployment Standard
The Revenue Workflow Deployment Standard.
AI does not create business value because it is installed. It creates value when it improves a workflow tied to revenue, margin, speed, capacity, conversion, retention, or customer experience.
Doctrine
Workflow before tool.
A company should not buy another model, agent, chatbot, automation, or dashboard until it can name the workflow that should change and the number that proves the change mattered.
Governance and control matter, but they sit behind the deployment decision. The first question is commercial: where is work slow, missed, expensive, capacity-constrained, or damaging the customer experience?
The Eight Checks
A workflow is deployment-ready only when these questions have real answers.
Check 02
Workflow trigger
The repeated event that starts the work is clear enough to test against real records.
Check 03
Required evidence
The forms, calls, CRM fields, notes, reports, policies, or examples AI must read are named before build work starts.
Check 04
AI role
AI prepares, classifies, summarizes, drafts, routes, checks, or scores. It does not quietly become the accountable decision-maker.
Check 05
Human review point
A person reviews the output before it reaches customers, changes records, creates commitments, or affects money.
Check 06
Stop rule
The workflow knows when to pause because evidence is missing, confidence is low, the request is unusual, or the risk is material.
Check 07
Measurement event
The result is measured against a baseline, not against enthusiasm for the demo.
Check 08
Scale decision
The workflow expands only after correction logs, exceptions, adoption, and business impact are reviewed.
What ADA Evaluates
Deployment readiness, not AI enthusiasm.
Revenue leakage
Missed leads, slow follow-up, proposal delays, churn risk, and expansion signals that arrive too late.
Operating drag
Handoffs, onboarding, reporting, document chasing, CRM cleanup, and review loops that consume capacity.
AI fit
Whether AI should summarize, draft, classify, score, route, check, or stay out of the workflow.
Control layer
Which outputs need review because they affect customers, money, records, legal terms, or trust.
Standard Artifacts
The standard is applied through public tools and review artifacts.
AI Readiness Assessment
A diagnostic for how prepared the company is to choose and use AI responsibly.
OpenSample Workflow Audit
The question set ADA uses to decide whether a workflow is ready for AI-assisted deployment.
OpenExample Deployment Brief
The operating detail that should exist before a workflow moves from idea to build.
OpenWorkflow Library
Applications of the standard across lead capture, proposals, onboarding, reporting, customer success, and operations.
OpenRevenue Workflow Review
The commercial intake path for pressure-testing one workflow before another tool is purchased.
OpenApply the standard
Pressure-test one revenue workflow before you buy another AI tool.
Bring one slow, missed, expensive, or capacity-constrained workflow. ADA reviews the leak, evidence, AI role, review point, and business number it should move.