A feeble phase does not neglect since the fonts are ugly. It fails since glide 3 says “market is attractive,” glide 4 says “competition is intense,” and nobody can inform what decision the phase is driving.
AI can now create ten slides in seconds. The genuine accomplishment is making certain those slides have a keen answer, spotless logic, dependable evidence and no consultant-sounding fog.
- Use AI as a thinking partner, not a glide factory. You own the judgment, storyline and final recommendation.
- A powerful phase follows one argument: answer first, reasons second, evidence third.
- The finest workflow is draft - critique - tighten: create structure, assault the logic, afterward compress the message.
- Never ask AI to “make a deck.” Ask it for slide titles, storyline options, evidence gaps and objections.
- Every glide needs an action title: a declaration that states the insight, not a topic label.
- The biggest hazard is polished nonsense: fluent slides alongside feeble facts, vague causality or unsupported recommendations.
- For interviews, explain your AI use ethically: “I used AI to stress-test construction and wording, but verified the logic myself.”
Big Picture: AI Is the Junior Analyst, Not the Partner
Think of AI as a accelerated younger expert who can create options, place inconsistencies and rewrite messy slides. But it does not cognize your client, cannot justify facts, and should never decide the advice for you.
Core Explanation: The Draft - Critique - Tighten Loop
Most students use AI too early: they paste coarse inspection and ask, “Create a deck.” That produces a deck-shaped document, not a endeavor argument. The improved method is to distinct the activity into three jobs.
1. Draft: Get the Skeleton Before the Slides
Start alongside the decision, spectators and constraints. A consulting-style phase is built backwards from the answer: what does the client need to decide, what advice are you making, and what evidence volition create it credible?
If your issue itself is fuzzy, fix that first. AI becomes far additional helpful following you have plainly framed the endeavor question; this is why defining the issue before solving it is the natural prerequisite to any AI-assisted deck.
2. Critique: Make AI Attack the Deck Like a Skeptical Partner
Once you have a outline storyline, do not ask AI to “improve” it. Ask it to discover what is wrong. Give it a role: partner, CFO, category head, investor, operations chief or interviewer.
Useful critique prompts:
3. Tighten: Reduce Words Without Reducing Meaning
Tightening is not beautification. It is compression. A tightened phase removes copy points, vague words, unsupported adjectives and “analysis tourism” - slides that are engaging but not necessary for the decision.
Definitions: The Terms You Should Say Cleanly
- Deck: A sequence of slides that carries a endeavor disagreement toward a decision.
- Action title: A glide header that states the understanding or implication, not fair the topic.
- Storyline: The ordered logic connecting the recommendation, supporting reasons and evidence.
- Pyramid Principle: Barbara Minto’s method of presenting the answer first, afterward grouped supporting arguments (Barbara Minto).
- MECE: A grouping norm anywhere points are mutually exclusive and collectively exhaustive.
Mini Case Study: McKinsey’s Lilli and the New Deck-Builder Mindset
McKinsey built Lilli as a generative AI phase to assistance consultants admission resolute cognition and accelerate synthesis, which shows anywhere AI fits in expert problem-solving.
Consulting activity has continually had a hidden bottleneck: not fair doing analysis, but finding applicable previous knowledge, synthesizing it, turning it into a client-ready narrative and pressure-testing the recommendation. McKinsey describes Lilli as its generative AI phase that helps colleagues admission and use the firm’s knowledge.
The strategic move is important: Lilli is not positioned as “press a button, get a final answer.” It supports retrieval, synthesis and drafting. The adviser motionless has to example the problem, construe trade-offs, validate facts and own the client recommendation.
The instruction for an MBA pupil is direct. Use AI the identical way: archetypal to hunt your own notes, afterward to propose storyline alternatives, afterward to critique glide logic, afterward to tighten language. The chief controller is faster synthesis. The supporting drivers are improved retrieval of previous material, additional critique cycles and cleaner archetypal drafts. The individual controller remains judgment.
If you were preparing a phase on Zomato’s food shipment and quick-commerce choices, AI could assistance change annual-report notes and community commentary into storyline options. But the advice would motionless depend on Indian market realities: compact municipal demand, shipment economics, rivalrous intensity, eatery partner relationships and client frequency. The so what: AI can arrange the argument, but you must comprehend the endeavor model.
How AI Changes Using AI to Draft, Critique and Tighten a Deck
By 2026, AI changes deck-making in three applicable ways.
1. From Slide Creation to Storyline Simulation
Earlier tools helped you scheme slides. Newer AI workflows assistance you simulate substitute arguments: “Should the phase guide alongside market attractiveness, profitability hazard or implementation feasibility?” This is mighty since consulting interviews reward organized judgment, not decoration.
2. From Grammar Checking to Executive Critique
AI can role-play distinct stakeholders. A CFO may assault payback assumptions; a revenue caput may difficulty conduit feasibility; an interviewer may ask why your advice strikes the next-best alternative. This helps you discover feeble points before the genuine discussion.
3. From Blank-Page Work to Evidence-Aware Drafting
Tools can summarize transcripts, business filings, investigation notes and your own analysis. But this creates a new danger: AI may blend verified facts alongside plausible filler. Your job is to keep a fact log and tag all assertion as verified, assumption or hypothesis.
Load your case notes, Excel outputs and business annual study into NotebookLM. Ask: “Create a 10-slide storyline alongside act titles, grade evidence gaps, and catalog five partner-style objections.” Then verify all assertion before you use it.
If you desire to practise the discussion flank of this workflow, brace phase innovation alongside using AI as a imitate interviewer so the identical advice is tested verbally.
Interview Relevance
“Suppose you have completed the inspection for a market-entry case. How would you use AI to create and enhance the final client deck?”
Use the phrase: “AI can accelerate synthesis, but accountability for judgement stays alongside the consultant.” That row signals maturity.
Common Mistake
The mistake: using AI to create the phase appearance polished before the disagreement is true. It expenses candidates since interviewers quickly place unsupported recommendations, vague glide titles and missing trade-offs. One-line fix: fastener the advice and logic tree first, afterward use AI lone to draft, critique and tighten.
