GenAI and Copilot use-case discovery
Clarify the people, decisions, information, workflow, and governance around a candidate use case.
Possible outputs
- Prioritized use-case frame
- Value and risk questions
- Practical next-step recommendation
Turn an AI possibility into a useful next move.
Focused advisory for teams exploring GenAI, Microsoft Copilot, Copilot Studio, Power Platform, and workflow automation without pretending every problem needs an agent.
Fit
Situations worth exploring
- 01
You have a business workflow in mind but need to separate the useful use case from the fashionable one.
- 02
You need a low-code prototype direction before committing to a larger implementation.
- 03
Your team needs a practical workshop grounded in its real decisions and constraints.
- 04
You need an independent way to map automation opportunities, risks, dependencies, and next steps.
Engagements
Four practical ways to work together
Bounded engagements with visible outputs. Pricing follows scope.
Copilot Studio and Power Platform prototype advisory
Shape a bounded prototype that can test the workflow and learning assumptions before a larger build.
Possible outputs
- Prototype scope
- Tool and integration map
- Demo and evaluation plan
Workflow automation assessment
Inspect the current workflow, handoffs, data, exception paths, and automation fit.
Possible outputs
- Current-state workflow map
- Automation candidates
- Constraints and implementation sequence
Practical team workshops and enablement
Create a clear learning experience around Copilot, agents, low code, or practical AI adoption.
Possible outputs
- Audience-specific session plan
- Hands-on examples
- Follow-through resources
Working approach
A clear decision trail
- 01
Understand
Start with the actual workflow, audience, constraints, and decision, not a preselected technology.
- 02
Make the plan clear
Use maps, examples, and clear assumptions so everyone can understand and discuss the recommendation.
- 03
Leave a next move
Close with decisions, risks, owners, and a practical sequence rather than an open-ended transformation promise.
Examples
Related work
Explore projects across low-code apps, team automation, and research.
Personal build
Power Apps Leave Request System
A personal low-code learning build that submits leave requests, routes manager approvals with Power Automate, and tracks status in SharePoint.
Team project
UiPath Vaccine-Finder Learnathon Team Project
A team-built UiPath automation for checking US COVID-19 vaccine availability and locating vaccination centers by postal code.
Research
UPEC Electric-Vehicle Feasibility Research
A 2021 research-internship project assessing factors affecting electric-vehicle feasibility and adoption in India.
Confidentiality boundary
Begin with only what can be shared.
The examples on this site focus on personal, research, and team projects. Keep an initial inquiry high level; detailed or confidential material can wait for the right conversation.
Consulting questions
How is pricing handled?
No. Scope, format, timing, and the right working model are established through inquiry before pricing is discussed.
Does every engagement include a build?
No. Discovery, assessment, prototype advisory, and enablement can stand alone. The recommendation should fit the problem.
Can an engagement begin with a workshop?
Yes, when shared understanding is the immediate need. The workshop should still be tied to the team’s decisions and follow-through.
Next step
Bring the workflow, not the hype.
Start with the situation, audience, constraints, and decision you need to make.