Diagnose
Understand the work, the constraints, and the outcome that matters.
42.2808° N / 83.7430° WApplied AI practice
Practical AI implementation for Ann Arbor organizations.
We help teams identify valuable workflows, launch focused pilots, and build the operating capability to use AI well.
Signal detectedWorkflow mappedPilot activated
Method / 01
Start with the work,
not the technology.
Useful AI starts with a real operating problem and the people who understand it. We use a disciplined sequence to move from broad possibility to evidence, adoption, and a responsible scale decision.
Select
Choose a valuable use case with a credible path to implementation.
Pilot
Build a focused solution, test it with real work, and measure the result.
Enable
Transfer capability so the organization can operate and improve it.
Services / 02
Focused engagements.
Useful outcomes.
Each engagement is sized around a decision your organization needs to make, not an open-ended transformation program.
AI Readiness Assessment
A practical view of where AI can help now, what needs to change first, and where not to invest yet.
Stakeholder interviews, workflow review, opportunity map, risk notes, and a focused 90-day action plan.Workflow Discovery
Find the high-friction work where AI can create measurable capacity, speed, or service improvements.
Process mapping, opportunity scoring, data and integration review, and a prioritized pilot brief.Pilot Implementation
Turn one well-chosen use case into a working pilot with clear controls and success measures.
Solution design, rapid build, evaluation, documentation, rollout support, and a scale decision.Team Enablement
Help leaders and teams build the judgment, routines, and confidence to use AI well.
Role-based workshops, operating guidance, playbooks, office hours, and hands-on adoption support.Evidence / 03
Evidence before scale.
One bounded workflow
A pilot should be small enough to learn quickly and important enough that the result matters.
Measures that count
Time, quality, cost, risk, and user adoption form a more useful picture than novelty or demo appeal.
Days to a decision
A well-shaped pilot should produce enough operating evidence to improve, scale, pause, or stop.
No inflated promises. No invented case studies. The work earns its next stage through observable results.
Readiness check / 04
Is your organization ready for a focused AI pilot?
Mark each statement that is true today. This is a directional check, not a maturity scorecard.
About / 05
Local context.
Operator perspective.
Agentic Ann Arbor is a commercial AI implementation practice led by Marc Mojica, an AI executive and hands-on practitioner.
The practice works with organizations that want to move from general AI interest to a focused, responsible implementation. The emphasis is on useful workflow change, measurable evidence, and building internal capability.
Operated byMojica Consulting
Start a conversation / 06
Bring one stubborn workflow.
Tell us where work is slow, inconsistent, difficult to scale, or overly dependent on manual coordination. We will help determine whether AI is a credible next move.
Ann Arbor, Michiganmarc@mojicaconsulting.com