AI adoption consulting
Map workflows, score opportunities, and build a rollout plan around the highest-leverage use cases.
Most companies ask which AI tool to buy. Better companies ask where AI should be implemented first. Time x Money is the operating model for answering that question.
Every workflow in your company consumes time and affects money. AI adoption should start where time waste and financial leverage intersect. This is the fastest path to ROI.
Instead of evaluating tools in isolation, evaluate business processes. A tool is only worth paying for if it materially improves a workflow that actually moves your business, which is why workflow prioritization and tool evaluation should be treated as separate decisions.
The priority zone is the top-right: workflows that consume serious time and influence meaningful money. That is where you get fast, believable AI ROI.
Score each candidate workflow on five dimensions:
When a workflow is strategic, recurring, and differentiated, custom build usually wins over subscription dependency. When a workflow is commodity and low-risk, buying may be faster and cheaper. This is also where a practical AI consultancy engagement should help: clarify which workflows deserve custom investment and which do not.
If this is familiar, start with an adoption roadmap before buying another tool.
Get your Time x Money roadmapApply This Framework
Use the framework with consulting support, then compare it against a workflow that already shipped.
Map workflows, score opportunities, and build a rollout plan around the highest-leverage use cases.
See how workflow prioritization translated into $50M+ processed and major throughput gains in production.
Use the same process-first logic to decide when to buy, build, wait, or stay manual.
Related Reading
These pages take the framework into decision-making, rollout, and the failure patterns it is designed to avoid.
See how the framework gets used to rank workflows inside a real company context.
Use the same logic to make buy-versus-build decisions after the scoring is done.
Understand what breaks when teams skip prioritization and jump straight to implementation theater.