AI APPLIED
AI is just an experiment when it has no clear job and no one owns the outcome.
Most businesses can identify plenty of potential uses for AI. The challenge is determining which one is worth pursuing, how it should fit into the work, and who will be accountable for the result.
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AI Applied focuses on one business priority, designs a practical workflow around it, and takes it through a controlled pilot before committing to adoption.
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The business leaves with a tested workflow, clear human ownership, practical guardrails, usable instructions, and evidence of whether AI is improving the work. Leadership can decide with confidence whether to adopt, refine, or stop, while the team has what it needs to manage the workflow responsibly.
WHEN INTEREST OUTRUNS APPLICATION
AI creates value when it becomes a reliable part of how the work gets done.
A tool may produce an impressive result in a demonstration and still fail inside the day-to-day workflow. Information may be inconsistent, review standards unclear, and no one may own the quality or business outcome.
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Experiments remain isolated, learning is lost, and leadership sees plenty of activity without knowing whether AI is improving the work.
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A dependable AI capability requires more than a tool. The full workflow must produce a better result with clear inputs, standards, human judgment, ownership, and measures.
AI Applied identifies where AI can improve one business priority and turns that opportunity into a tested workflow.
ONE FOCUSED AI PROJECT
Led by a Certified AI Transformation Leader, AI Applied focuses the engagement on one business priority with a meaningful opportunity for improvement. The team does not have to arrive with the use case or technology already selected.
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Instead of trying to evaluate every possibility, leadership reaches one grounded decision about where AI belongs, what it should improve, how it should work, and what success will look like. That focus contains risk, creates useful evidence, and gives the business a practical basis for deciding what to do next.
01
Discover
Find the work worth improving.
We examine recurring friction, the people and information involved, the current process, and the business outcome that needs to improve. The team gains a grounded view of where AI may create meaningful value.
Each stage reduces uncertainty until the business can make an informed adoption decision.
HOW THE WORK IS STRUCTURED
The business need determines the use case, and the use case determines the technology. Each stage establishes what the next stage needs before more time or resources are committed.
02
Focus
Choose the use case that earns the business’s attention.
The strongest opportunities are evaluated for value, feasibility, risk, data, users, and time to impact. Leadership selects one use case with a clear business reason to move forward.
The strongest opportunities are evaluated for value, feasibility, risk, data, users, and time to impact. Leadership selects one use case with a clear business reason to move forward.
03
Build
Turn the selected use case into a working pilot.
We design the future workflow, define what AI will do and what people will decide, configure appropriate tools, and test the process under controlled conditions.
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The business can see how the workflow performs with real information, real standards, and the people who will use it.
We design the future workflow, define what AI will do and what people will decide, configure appropriate tools, and test the process under controlled conditions.
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The business can see how the workflow performs with real information, real standards, and the people who will use it.
04
Embed
Prepare the team to use, manage, and improve the workflow.
We document the process, establish ownership and review standards, train the people involved, and create the guardrails, measures, and adoption plan needed after the pilot.
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The workflow no longer depends on isolated experimentation or knowledge held by one person.
We document the process, establish ownership and review standards, train the people involved, and create the guardrails, measures, and adoption plan needed after the pilot.
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The workflow no longer depends on isolated experimentation or knowledge held by one person.
WHAT MAKES THE WORK PRACTICAL
AI Applied helps the business stay in control of the outcome, the risk, and the decision to adopt.
The work starts with the result the business wants to improve and the recurring workflow behind it. Technology is selected only after the need is understood.
Value, feasibility, risk, data, users, and time to impact are considered together before the build begins.
The workflow makes clear what AI produces, what people review or decide, where escalation occurs, and who remains accountable for the result.
Ownership, instructions, quality standards, guardrails, training, and measurement are established as part of the work so the team is prepared to use what is built.
WHAT AI APPLIED DELIVERS
AI Applied delivers a workflow the business can test, use, and improve.
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A grounded business case for the selected use case, including its intended value, feasibility, risks, users, and measures.
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A workflow design that defines inputs, outputs, AI responsibilities, human review points, escalation paths, and ownership.
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A controlled pilot using appropriate commercially available tools and practical configuration.
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Results and lessons from testing the workflow under real operating conditions.
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A working playbook with instructions, quality standards, guardrails, known limitations, and escalation points.
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Clear ownership for managing the workflow after handoff.
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Training for the people responsible for using, reviewing, or overseeing the work.
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A success scorecard and 30-60-90 day adoption plan.
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A clear recommendation to adopt, refine, pause, or discontinue the workflow based on what the pilot reveals.
AI Applied engagements start at $6,500.
This includes one business, one prioritized use case, one defined workflow, a controlled pilot, practical guardrails, and team handoff.
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INVESTMENT
DISCIPLINED SCOPE
One useful implementation.
AI Applied centers on one primary use case, one defined workflow, and one controlled pilot. The standard engagement uses commercially available tools, practical configuration, and light no-code connections when they support the workflow.
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The business gains a practical implementation and a better understanding of what further investment would require before making a larger commitment.
A STRONG FIT
For businesses ready to test one practical use of AI before committing to broader adoption.
AI Applied may be a strong fit when:
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Leadership wants practical value from AI but has not decided where it belongs.
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People are experimenting with AI tools, but the learning has not become a shared business process.
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A recurring workflow consumes significant time, creates friction, or produces inconsistent results.
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The people who perform the work can participate in discovery, testing, and adoption.
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Leadership will support the pilot and someone can own the workflow after handoff.
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The business is willing to test one focused use case, measure the result, and keep human accountability in place.
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Leadership wants evidence before committing to broader AI adoption or investment.
A RESPONSIBLE RECOMMENDATION
Sometimes AI is not the first move.
AI cannot compensate for a process that is unclear, ownership that remains unresolved, or a broader growth or strategy issue that prevents the workflow from succeeding.
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When the evidence points there, Stravigo Method will recommend addressing the underlying issue first. That protects the business from adding technology to an unresolved problem and provides a stronger foundation for AI later.
START A CONVERSATION
What keeps coming up in your leadership conversations?
Bring the issue that is important enough to keep returning but still difficult to move. We will talk through what is happening, what has already been tried or decided, and whether one of the three paths fits. If it does not, then we will say so.
A straightforward 30-minute conversation. No preparation or obligation.
START A CONVERSATION
Where is AI creating more questions than useful work?
Share what your team has explored, where the business sees opportunity, or which recurring work may be ready for a better approach.
In a straightforward 30-minute conversation, we will discuss the context, what has already been tried or decided, and whether AI Applied can help the business move toward a useful implementation. If another path would create more value, I will say so.