Business context
Objectives, stakeholders, current work, and outcomes.
Applied generative AI
Teach your team to use AI with purpose and guardrails.
Workshops connect business needs to testable requirements and governed AI instructions. Participants leave with materials they can use in their own workflow.
What participants learn
From business need to usable instruction
The course turns a real process into a defined task, an AI Work Specification, a verification method, and an ownership plan.
Participant outputs
- Problem statement and success measures
- Requirements and acceptance criteria
- Reusable AI Work Specification
- Use case and future process flow
- Evaluation set and guardrail checklist
- Department playbook and action plan
Program sequence
Seven practical modules
Requirements
Functional, data, integration, security, and operational needs.
AI Work Specifications
Context, sources, rules, output, validation, and prohibited actions.
Use cases
Actors, triggers, normal paths, exceptions, and controls.
Verification
Expected results, challenging cases, evidence, and repeatable scoring.
Governance
Approved tools, data classification, access, and human review.
Adoption
Ownership, versioning, measures, and ongoing maintenance.
Choose the right format for your team.
An executive briefing frames decisions and risk. A team workshop applies the method to one department. A customized program extends the work to your processes, policies, and coaching needs.
Discuss a training session
Tell us the roles involved, the workflow you want to improve, and any existing AI policy or data restrictions.