Iro AIIro AI

AI for consultants

Use AI to research, structure, and draft faster.

Consulting runs on fast research, tight structure, and a clear story — under deadline. Iro teaches you to use AI as an associate: scope a market in an hour, structure the analysis with a framework, and draft the deck narrative, while you own the logic and verify every number before it reaches the client.

Market researchStructured analysisSlide narrativesInterview synthesisClient deliverablesFrameworks
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The short version

Consultants get the most from AI by using it for speed on research, structure, and first drafts — never for the final judgment a client is paying for. The reliable wins are scoping a market or industry fast, structuring a messy problem with a framework, turning findings into a slide narrative, and synthesizing interview notes into themes. Because deliverables carry your firm's name, you verify every figure and claim before it ships.

  • Best uses: research, framework-driven structure, slide narratives, synthesis.
  • Give AI a role, a framework, and the audience; you own the logic and the numbers.
  • Verify every stat before it reaches a client — your name is on the deck.

What you'll be able to do

  • Scope a market or industry in an hour with a source-flagged first brief
  • Structure a messy problem with the right framework (MECE, pyramid, 2x2)
  • Turn analysis into a slide narrative a partner would present
  • Synthesize a stack of interview notes into themes and evidence
  • Catch a confident, wrong figure before it reaches the client

Inside the path

A focused set of five-minute lessons — each one ends with a hands-on exercise, not a quiz you can guess.

  1. Scope a market fast 6 min

    Prompt patterns for sizing a market, mapping players, and getting a source-flagged first brief.

  2. Structure with a framework 5 min

    Get AI to organize a messy problem MECE, or into a 2x2 or issue tree you can defend.

  3. Build the slide narrative 6 min

    Turn analysis into a pyramid-principle story: one recommendation, the arguments, the evidence.

  4. Synthesize interviews 5 min

    Cluster interview notes into themes with quotes and a flag on where the signal is thin.

  5. Verify before it ships 5 min

    The checks that catch an invented number or source before it lands in a client deck.

Try a sample exercise

This is the kind of card you'd practice inside Iro — you do the thinking, then get feedback.

◆ Sample exercise · Prompt practice

You're building the executive-summary slide for a client's cost-reduction project. You already have the analysis; you need AI to structure the story for a CFO. "Make me a slide" gives you a generic bullet dump that buries the recommendation.

Your task: Pick the prompt that produces a slide narrative a partner would actually present.

  • "Make a slide summarizing our cost-reduction findings."
  • "Act as a management consultant preparing an executive-summary slide for a CFO. Using the pyramid principle, structure the findings below into one governing recommendation, three supporting arguments, and the key evidence under each. Keep it to what a CFO cares about — impact, cost, and risk — and flag any claim that isn't backed by the data I've given you. Findings: [paste]."
  • "Write a 10-slide deck about cutting costs for this client."
  • "What cost savings should I recommend to the client?"
See why the second prompt wins

The winning prompt sets a role (management consultant), names a framework (pyramid principle — one governing recommendation, supporting arguments, evidence), targets the audience (a CFO who weighs impact, cost, and risk), and asks the model to flag any claim not backed by your data. It structures analysis you already did rather than inventing it. The losing options either ask the model to make the recommendation ("what should I recommend?") or produce unstructured volume ("a 10-slide deck") with no story and nothing verified. In Iro you'd write your own and get feedback on role, framework, audience, and where you left the model room to guess.

Why AI fits consulting — and its one big risk

Consulting is research, structure, and communication under a deadline, and AI is fast at all three. It can pull together a first market brief, organize a tangle of findings into a framework, and shape a slide narrative in minutes instead of an afternoon. For a job that runs on billable time, that speed is real leverage.

The risk is that a deliverable carries your firm's name. AI will state a market size, a growth rate, or a competitor fact with total confidence and no source — and if that slides into a deck, it's your credibility, not the model's. So the rule is simple: AI drafts and structures; you verify every number and claim before the client sees it.

Where AI earns its keep on an engagement

  • Research: first-pass market and industry briefs, company backgrounds, sharper questions for expert calls.
  • Structure: MECE issue trees, 2x2s, hypothesis lists, framework-driven analysis.
  • Communication: slide narratives, executive summaries, first-draft client emails and memos.
  • Synthesis: clustering interview notes and survey data into themes with evidence.

What stays with you: the recommendation, the judgment behind it, and responsibility for every figure on the page. AI accelerates the work; it doesn't sign off on it.

Consulting AI questions

Can AI do consulting-grade research?

It can do a fast first pass — a market brief, a company background, a list of questions for an expert call. What it can't do is guarantee the facts, so you treat its output as a starting point and verify every figure before it informs a recommendation. A cited tool like Perplexity helps, but you still check.

How do I get AI to structure analysis, not just write?

Name the framework. Ask it to organize your findings MECE, into an issue tree, a 2x2, or a pyramid-principle narrative, and give it the raw material to work from. Telling it the structure and the audience is the difference between a usable skeleton and a generic essay.

Can AI build my slides?

It can build the narrative — the governing recommendation, the supporting arguments, and the evidence under each — which is the hard part. You still design the slides and, critically, verify every number. Iro's practice focuses on prompting for the story, not the formatting.

Is it safe to put client data into AI?

Be careful. Client data is usually confidential and may be contractually protected — check your firm's policy and the tool's data settings, and prefer anonymized or synthetic samples. You can get most of the structuring help without pasting sensitive specifics.

Will AI replace junior consultants?

It changes the job more than it replaces it. The research and first-draft work AI accelerates is exactly what juniors did, so the skill that matters now is directing and verifying AI well. That judgment is what Iro trains.

Related paths

AI for foundersAI for financePrompt engineeringAll paths

More reading: How to use AI at work · How to spot AI hallucinations · The 7 prompt patterns that work everywhere.

Practice the consultant AI playbook.

Iro turns research, structuring, and slide narratives into five-minute exercises with feedback — so your next engagement starts with reps you've already done.

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