New: Model ML now inside Microsoft TeamsLearn more
New: Model ML now inside Microsoft TeamsLearn more

AutoCheck: AI Review for Pitch Decks and Presentations

5 MIN. READ

Almost every consulting and banking workflow culminates in a deck that's been prepared by multiple people or teams. By the time it reaches a partner or a client, the thinking is usually strong and the analysis is there, but the biggest risk is never missing the obvious issues. The risk is usually the less visible details that get missed at 2am: contradictions across pages, numbers that don't tie, and formatting drift that makes the deck feel unfinished when it reaches a reviewer.

Historically, consulting and banking teams have solved inconsistencies manually, with later nights, and multiple people checking the same slides again and again.

With AutoCheck, we’ve automated the final deck review that a VP or Partner will do, helping you to move significantly faster and more accurately.

How AutoCheck Handles The Review Process

Teams upload their deck into Model ML and choose which checks to run. If their firm has a style guide, they upload that too, so AutoCheck understands what a polished output should looks like.

AutoCheck then reviews the deck, flags issues as errors, warnings, or suggestions, and surfaces a heat map showing where problems cluster. Every issue is flagged at its exact location, with spelling and grammar fixed in place and comments left for colleagues along the way. The finished review exports as an annotated PowerPoint with an audit-ready summary for sign-off.

Instead of reviewing a deck line by line, teams review only the exceptions.

Use Cases: AutoCheck In Practice

Example 1: Numbers don't tie across a deck. AutoCheck catches them before the client does.

In any deck prepared by multiple people or teams, figures get updated, assumptions change, and under time pressure there's a risk that teams may not be able to verify every number end to end. For example, due to the pace of a deal, a revenue figure on one slide could contradict a summary 20 pages later; or a chart label still references an outdated assumption. AutoCheck flags every numerical inconsistency across the deck, links related issues across slides, and tells the team exactly where to look.

Example 2: Formatting has drifted across workstreams. AutoCheck brings it back to standard.

When a deck has been built by multiple people over several weeks, formatting drift is inevitable. Font sizes shift, colour usage becomes inconsistent, and slides stop conforming to the firm's style guide without anyone noticing. AutoCheck runs against the firm's uploaded style guide and returns a prioritised list of issues with exact locations. The deck reaches brand standard in minutes.

Example 3: The model was updated overnight and the deck hasn't caught up. AutoCheck finds the gaps.

On a live deal, models get updated under time pressure and outputs get pasted into decks without a full verification pass. AutoCheck runs a valuation check across the entire deck, flags any figures that don't reconcile, and links each issue back to its source. The error gets caught before it leaves the building; not after.

Want to see AutoCheck in action? Book a demo.

The A to Qs 1-4

The A to Qs 1-4

The A to Qs 1-4

New York

West 38th St,
New York

San Francisco

Market St,
San Francisco

London

King's Cross,
London

Hong Kong

Stanley St Central,
Hong Kong

© 2026 Model ML. All rights reserved.

New York

West 38th St,
New York

San Francisco

Market St,
San Francisco

London

King's Cross,
London

Hong Kong

Stanley St Central,
Hong Kong

© 2026 Model ML. All rights reserved.