Build a safe, repeatable agentic AI workflow that helps you deliver consulting research, comparisons, and recommendations faster—without outsourcing your judgment.

Who this course is for

Independent consultants who want to reduce research and analysis time.

Business analysts and strategy associates supporting client decisions.

Boutique-agency owners seeking repeatable delivery workflows.

Operations and transformation professionals introducing AI into project work.

Consultants who use AI tools but need a disciplined, client-safe process.

What you will learn

Identify consulting tasks that are suitable for AI-agent delegation.

Separate delegated analysis from human professional judgment.

Build a consulting delegation brief with scope, constraints, and quality criteria.

Classify data and reduce confidentiality risk before using AI.

Require evidence, assumptions, unknowns, and confidence levels from an AI workflow.

Create a practical do-not-delegate list for client work.

Run a structured vendor or market comparison with AI support.

Verify outputs before they influence a client recommendation.

Convert research into a concise executive summary and recommendation deck.

Create a 30-day plan for responsible AI adoption in your consulting practice.

Requirements

Basic familiarity with a generative AI tool such as ChatGPT, Claude, Gemini, or Copilot.

No coding or automation experience required.

A willingness to test workflows using fictional, public, or properly approved information.

Access to a word processor and presentation software.

Final project

Create an AI-assisted vendor-comparison case study for a fictional or approved client. You will submit a delegation brief, evidence log, risk checklist, scored comparison matrix, executive summary, and five-slide recommendation deck. The final package can be added to a professional portfolio or used as a reusable internal consulting workflow.