AI & Microsoft Copilot Implementation Workshop – “Next Steps”
Description
AI & Microsoft Copilot Implementation Workshop – “Next Steps”
Two Virtual Workshops (3 hours each)
Audience: Knowledge workers across a variety of roles who have already completed foundational AI and Copilot training.
These two sessions are designed to move the team from awareness to applied adoption. Participants will work collaboratively to identify high‑value use cases, define practical next steps, and build an actionable plan for responsible, measurable implementation of AI and Microsoft Copilot across their daily workflows.
Workshop 1 – Identifying Opportunities & Designing Practical Use Cases
Objectives
- Align on the organization’s goals for AI adoption
- Surface real workflows where Copilot can create measurable value
- Evaluate opportunities based on impact, feasibility, and readiness
- Begin drafting team‑specific use cases and success criteria
Core Topics & Activities
- Brief recap of AI & Copilot capabilities (focused on what’s newly possible since their initial training)
- AI Opportunity Mapping Exercise
- Participants identify repetitive, time‑consuming, or error‑prone tasks
- Grouping opportunities by function (e.g., operations, customer support, finance, HR, project management)
- Use Case Prioritization Framework
- Impact vs. effort
- Data readiness
- Security/governance considerations
- Drafting Use Case Concepts
- Each participant or team drafts 1–2 potential use cases
- Define the “before and after” workflow
- Identify required inputs, outputs, and success measures
Workshop 2 – Building the AI Action Plan & Implementation Roadmap
Objectives
- Refine and validate selected use cases
- Define roles, responsibilities, and timelines
- Establish governance, measurement, and feedback loops
- Produce a clear, practical action plan for the next 30–90 days
Core Topics & Activities
- Review & refine use case drafts from Workshop 1
- Implementation Planning
- Required tools, access, and data considerations
- Change management and communication needs
- Risks and mitigation strategies
- Governance & Responsible AI
- Policies for safe and ethical use
- Guardrails for accuracy, privacy, and transparency
- When to escalate or validate outputs
- Measurement & Continuous Improvement
- Defining KPIs and success metrics
- Setting up a feedback loop for iteration
- Finalizing the AI Action Plan
- Each team leaves with a documented next‑step plan
- Commitments for follow‑up and accountability
Examples of Action Plans or Outputs That May Come Out of These Sessions
(These are intentionally general so they fit a wide range of industries and roles. Feel free to add more specifics if you know them.)
- “Inbox Efficiency Plan”
- Standardize Copilot prompts for triaging email, drafting responses, and summarizing threads
- Measure reduction in time spent on email over 30 days
- “Reporting Automation Pilot”
- Use Copilot in Excel to automate monthly reporting steps
- Document the new workflow and compare accuracy and time savings
- “Meeting Productivity Upgrade”
- Adopt Copilot in Teams for meeting summaries, action extraction, and follow‑up drafting
- Create a shared prompt library for recurring meeting types
- “Knowledge Management Enhancement”
- Use Copilot to generate first drafts of SOPs, FAQs, or internal documentation
- Establish a review workflow to ensure accuracy and consistency
- “AI‑Supported Customer Communication”
- Draft templates and prompt patterns for customer‑facing messages
- Implement a quality‑check process before sending
- “Governance & Guardrails Starter Kit”
- Define what types of tasks are appropriate for AI
- Create a simple checklist for responsible use
- “30‑Day Adoption Sprint”
- Select 3–5 workflows to test
- Assign owners, define metrics, and schedule a review meeting