AI Readiness
Assess people, data, systems, and security so AI starts on solid ground.
Learn more ›AI Designing
Design AIaround the work.
Great AI starts with the job to be done. EMPIST designs use cases, workflows, and success measures so you build what the business will actually use.
26+ years · AI for every size business
Outcomes
What this delivers
One stage of the EMPIST AI approach. Linked from the AI hub journey.
- Use cases that earn their place
We design around real friction: time lost, errors, handoffs, and decisions that stall. No vanity demos.
- Blueprints teams can follow
Roles, data, tools, and guardrails spelled out so build and pilot are not improvisation.
- Success defined up front
What good looks like before code or licenses. Measures leaders can track when the pilot lands.
How it fits
Where this sits in your AI path
Practical scope. Clear next steps.
- After readiness, before build
Design turns a readiness map into something specific enough to build and pilot without scope creep.
- Copilot, automation, or custom
Same design discipline whether you are shaping Microsoft Copilot workflows, process automation, or a custom assistant.
- Business and IT together
Stakeholders and operators help shape the design so adoption is part of the plan, not an afterthought.
What's included
What you get with EMPIST AI Designing
- Discovery workshops with business and IT stakeholders
- Prioritized AI use-case shortlist
- Workflow and experience design for the first builds
- Data, access, and integration requirements
- Security and governance guardrails in the design
- Success metrics and pilot criteria
Continue the journey
Related AI steps
AI Building
Implement assistants, automations, and Copilot workflows connected to your stack.
Learn more ›AI offers
See Copilot, automation, assistants, and other outcome-based AI services.
Learn more ›AI design
Design the work.Then build the AI.
Use cases, workflows, and success measures before licenses and code.
FAQ
Before you book a call
Straight answers for owners, ops, and finance.
01Why design before we buy AI tools?
Tools without a use case become shelfware. Design makes sure licenses and builds map to work that moves the business.
02Who should be in the design sessions?
People who do the work, plus leaders who own the outcome. IT and security join so the design can ship safely.
03Is this only for custom AI?
No. Copilot, automation, and custom solutions all need clear jobs, data, and success measures before they scale.
04How long does design take?
Sized to scope. Many first-use-case designs land in weeks, not quarters, so you can move into build and pilot with momentum.
Ready to design AI that people will use?
Tell us where work slows down. We will shape use cases and a blueprint worth building.
26+ years · AI for every size business