Picture the scene. A managing director walks in on a Tuesday morning with a signed engagement letter. The deal is live. The company profile has to be in front of strategic buyers within two weeks. Someone — probably your most capable associate — is about to disappear into PowerPoint for the next four days.
They'll drag in the same logo placeholder they always use. They'll manually key in revenue figures from a spreadsheet. They'll reformat a management team bio that the company sent over in 14-point Calibri. They'll nudge text boxes a few pixels left so the layout doesn't look broken. By Thursday afternoon, the first draft will be done. By Friday, there will be eleven versions saved to a shared drive with names like CIM_v4_FINAL_JM_edits_USE_THIS_ONE.pptx.
This is the status quo at hundreds of advisory and PE firms right now. And it is, to put it bluntly, a catastrophic misuse of expensive talent.
The CIM is not the bottleneck. The process of creating it is — and that process hasn't changed in twenty years.
The good news? The firms moving fastest right now aren't rebuilding their workflows from scratch. They're doing something smarter: they're AI-ifying the templates they already have.
Why "just use AI" isn't enough
When most deal teams hear "AI for CIMs," they imagine a chatbot that writes a company overview from a few bullet points. That's useful. But it solves maybe 20% of the problem. The remaining 80% is about structure, not prose.
The real friction in CIM production is not finding the right words for the investment thesis. It's the mechanical assembly work: pulling in the right logo, populating the right financial tables, dropping the management team photos into the right placeholders, making sure the color on slide 7 matches the brand guide. These are not creative decisions. They are data entry jobs — and they are eating your team alive.
Generic AI tools are built to generate. They are not built to integrate with your specific firm-approved template, your house style, your slide masters, or the particular way your firm structures a leveraged buyout analysis. That integration gap is exactly why firms that plug ChatGPT into their workflow and call it a day find themselves underwhelmed.
What does "AI-ifying" actually mean?
AI-ification is the process of transforming a static, human-assembled PowerPoint template into a structured, machine-compatible asset that an AI system can populate autonomously — without breaking your design, violating your brand standards, or losing the institutional logic baked into the slides.
Think of it as giving your template a nervous system. Right now, your CIM deck is inert. It sits there until a human opens it and starts typing. An AI-ified version of that same deck knows what kind of data goes in each field, where to pull it from, how to format it, and what rules to apply when something doesn't fit.
Concretely, this involves three categories of work:
- Field tagging — Every text box, image placeholder, table cell, and chart element in your deck gets annotated with metadata: what kind of content it expects, where that content should come from, and what constraints apply (length, format, required vs. optional).
- Data schema alignment — The template is connected to a structured data layer: a deal intake form, a CRM, a data room, or a spreadsheet model. When deal data enters the system, it maps to the correct fields in the deck automatically.
- AI generation layers — For fields that require prose — executive summaries, investment highlights, risk sections — AI generation is wired in, with firm-specific tone guidelines and reviewer approval steps built into the workflow.
An AI-ified template doesn't replace your judgment. It eliminates the fifteen hours of work that happen before your judgment even gets involved.
The result is a template that can be populated in minutes, not days. A deal team feeds the system with a company profile, a financial model, and a few guidance notes. The AI assembles a first-pass CIM — correctly formatted, on-brand, structurally complete — and hands it to the junior banker for review and refinement. The work shifts from assembly to editorial. From data entry to deal thinking.
- ✕Manually drag-and-drop content per deal
- ✕Associate works from a blank deck each time
- ✕Version control chaos on shared drives
- ✕Inconsistent formatting across deal teams
- ✕40+ hours per CIM, front-loaded on juniors
- ✕No audit trail of what was changed, by whom
- ✕High risk of stale or incorrect data
- ✓Data flows into structured template fields
- ✓First draft generated in under an hour
- ✓Single source of truth, version-controlled
- ✓Brand standards enforced automatically
- ✓Senior time focused on narrative & strategy
- ✓Full audit trail of AI vs. human edits
- ✓Always pulling from the most current data
This is a competitive advantage — until it isn't
Here is a scenario worth sitting with. Two boutique advisory firms are competing for the same mandate. Firm A builds CIMs the old way: a five-day production cycle, heavy associate hours, a week of revisions. Firm B has AI-ified its templates: they deliver a draft to the client in 48 hours, spend the saved time refining the narrative, and show up to the kick-off call already talking about buyer strategy.
Which firm looks like the better partner?
Speed in deal execution is not just an operational metric. It signals confidence. It signals process maturity. And increasingly, it is what sophisticated sellers and sponsors are evaluating when they choose an advisor. They have been burned by the firm that took two weeks to get a teaser out. They remember.
The window to build this capability and call it a differentiator is real — but it is not unlimited. The firms who move in the next 12 to 18 months will be able to market it as a genuine edge. The firms who wait will find that it has become table stakes, and they are behind.
You don't need to start from scratch
The single most important thing to understand about AI-ification is that it starts with what you already have. Your existing templates — even if they were built years ago, even if they are imperfect, even if different partners have their own versions — are the foundation. The institutional knowledge embedded in them is real and worth preserving.
The process begins with an honest audit: what is actually in your templates, and how much of it changes deal to deal? You may be surprised. In most CIMs, 60 to 70 percent of the structural content — the slide layouts, the section headers, the analytical frameworks, the design — is essentially static. Only a fraction of the deck is truly deal-specific. That fraction is exactly what AI-ification targets.
From there, the path forward involves working with tooling that can ingest your existing PPTX files, map their structure, and expose them to an AI pipeline — without requiring you to rebuild anything from scratch or change the template your clients have come to recognize. This is exactly what we built Deliverables AI to do: bring your own template, keep the design choices your firm has refined over years, and let the AI handle the assembly. The visual style and chart and table conventions you've already standardized stay intact.
The firms making the most progress right now are not the ones with the biggest technology budgets. They are the ones who started the audit. Who sat down and asked: of all the hours we spend building this document, which hours actually require human expertise? That question, asked seriously, tends to produce a very clear answer — and a very clear path forward.
The CIM has been the central artifact of deal marketing for decades. It is not going away. What is changing — faster than most firms realize — is who builds it, and how. The template you have today is an asset. The question is whether you're going to keep treating it as a starting point for manual labor, or turn it into the engine of a faster, smarter deal process.
The firms that figure that out first are going to look very different from the ones still copy-pasting on a Tuesday afternoon.
Ready to AI-ify your templates?
We work with advisory firms and PE shops to bring existing PPTX templates into an AI-compatible deal document workflow — without disrupting the templates your team already knows.