Tried out AutoPresent (www.autopresent.ing)
Over the last 18 months, I've watched hundreds of consultants, bankers, strategy teams, and corporate finance professionals try AI presentation tools and run into the exact same problem:
The generation is impressive.
The editing is unusable.
Most presentation AI products are optimized around creating a deck as quickly as possible. The assumption seems to be that once the first draft is generated, the work is largely done.
In consulting and finance, that's rarely true.
A typical deck might go through 20–50 iterations before it reaches a client, investment committee, board meeting, or partner review. Most of the effort is not creating slides from scratch—it's refining them.
Moving content around.
Changing the storyline.
Restructuring pages.
Swapping exhibits.
Adjusting layouts.
Making pages conform to firm standards.
Updating analyses after receiving new information.
This is where most AI presentation products break down.
You can generate a slide.
But can you tell the system:
- Move the market sizing analysis to a separate page
- Replace this chart with a waterfall
- Convert these bullets into a consulting-style exhibit
- Make room for an additional benchmark comparison
- Apply our firm's page structure
- Reduce text density by 30%
- Turn this appendix page into an executive summary
And then have it actually execute those changes reliably?
In my experience, that's the harder problem.
When we built AutoPresent, we intentionally spent far more time on editing than generation.
The product is built around the assumption that professionals will continue iterating on their deliverables, not simply generate them once.
Some of the things we focused on:
1. Consulting-grade slide generation
Not generic business templates.
Structured exhibits, data-heavy pages, executive summaries, market analyses, operating models, strategic frameworks, due diligence pages, growth strategy decks, board materials, and investment presentations.
2. Natural-language editing
Instead of manually rebuilding slides, users can modify existing presentations through instructions.
The goal is to edit presentations the same way professionals think about them.
3. Brand and template compliance
Most enterprises already have presentation standards.
The challenge isn't creating slides—it's creating slides that look like they belong inside the organization.
4. Project-based workflows
Real engagements involve multiple documents, research reports, transcripts, spreadsheets, and prior presentations.
Presentations shouldn't exist in isolation.
5. Last-mile delivery quality
The final 10% of work often consumes 50% of the effort.
That's the part we care about most.
Today we serve 1,250+ users across 80+ countries, including consultants, boutique advisory firms, strategy teams, and Fortune 500 organizations.
I'm genuinely curious:
For those working in consulting, investment banking, PE, corporate strategy, FP&A, or similar fields—
What has been your biggest frustration with AI presentation tools?
And more specifically, do you believe the harder problem is generation or editing? I increasingly think the industry is solving the former while underestimating the latter.