TL;DR
The best AI tools for investment banking presentations in 2026 work inside PowerPoint, not as replacements for it. For financial charting, think-cell remains the standard across bulge bracket banks. For Excel-to-PowerPoint automation, Macabacus and UpSlide lead. Microsoft Copilot generates rough first drafts but fabricates financial data and cannot produce IB-standard charts. The most promising category is IB-specific AI tools — FactSet Pitch Creator, Hebbia + FlashDocs, and Deliverables AI — which connect real financial data to formatted slide output. No tool yet replaces the 20+ revision cycles that define deal presentation workflows, but the best ones compress initial drafting from days to hours.
The tools that win in IB aren't the flashiest AI demos — they're the ones that work inside PowerPoint, connect to real financial data, and pass compliance review. Evaluate tools on those three criteria before anything else.
Which tool category fits your firm?
+ FactSet Pitch Creator
+ think-cell
+ UpSlide
+ selective AI pilots
+ think-cell or Macabacus
+ FactSet Pitch Creator
The traditional PowerPoint toolkit still dominates
The core IB presentation stack has remained remarkably stable: Microsoft PowerPoint + Excel + FactSet/Capital IQ + think-cell or Macabacus. Every practitioner account — from Wall Street Oasis threads to Reddit discussions — confirms this. As one VP put it: "Invest in a PowerPoint course. You'll spend 90% of your time in PPT."
The most impactful productivity tool in most banks isn't AI — it's the Quick Access Toolbar (QAT) with custom keyboard shortcuts for alignment, grouping, and formatting.
think-cell
think-cell is the gold standard for financial charting, with 1.3 million users across all top-10 consulting firms and the majority of bulge bracket banks. Its 40+ chart types — waterfall, Marimekko, Gantt, scatter with trendlines — and tight Excel integration make it irreplaceable for IB-quality data visualization.
think-cell 14, launched November 2025, brought overhauled layout tools, enhanced Excel-driven reporting, and flexible content reuse. AI features remain "coming soon" despite the 2023 acquisition of AI startup AskBrian.
- Pricing: ~$230–$323/year per user
- Revenue: ~€200M ARR with ~80% EBITDA margin
- Key fact: Cinven (majority owner since 2021) is exploring a sale at up to €3 billion, expected to launch early 2026
Macabacus
Macabacus (owned by Corporate Finance Institute) occupies the complementary niche of Excel-to-PowerPoint linking, model auditing, and brand compliance. In 2025 it launched two notable AI features:
- AI Writing Assistant (AIWA) for summarizing and rephrasing content within PowerPoint
- Formulate, which converts hardcoded Excel values into accurate formulas
Critically, Macabacus routes all AI processing through the firm's own Azure AI Foundry environment — no data leaves the client's infrastructure.
- Pricing: $200–$360/year per user
UpSlide
UpSlide offers what many consider the most reliable Excel-to-PowerPoint linking on the market, along with dynamic tombstone libraries, automated slide checking, and PowerPoint track changes. Used by BNP Paribas, Rothschild & Co., and KPMG.
UpSlide is rolling out AI-powered consistency checks that scan presentations for contradictory data — for example, flagging when EBITDA shows $12.3M on one slide and $12.8M on another.
- Pricing:
$30/user/month ($360/year)
Microsoft Copilot: drafts, not deal-ready decks
Microsoft 365 Copilot has reached 15 million paid seats globally at $30/user/month. Its November 2025 "Enhanced Brand Consistency Engine" reduced brand compliance review time from 45 minutes to 8 minutes in one banking test. The February–March 2026 Agent Mode rollout — enabling multi-turn conversational editing powered by both OpenAI and Anthropic models — represents another leap.
Microsoft reports 75% time reduction for initial deck creation, from 4 hours to under 60 minutes.
Where Copilot falls short for IB
The limitations for investment banking work are severe:
- Data hallucination: One banking client's Copilot-generated slide stated "European fintech funding increased 43% in Q3 2025" when the actual figure was 12%
- No IB chart types: Cannot reliably produce waterfall charts, Marimekko charts, football field valuations, or other IB-standard visualizations
- Poor formatting: Creates "functional layouts, not beautiful ones" — does not understand pitchbook formatting conventions or deal document structures
- Low adoption: A major European bank rolled out Copilot to a 42-person presentation team; after six weeks, adoption was at 8% and brand compliance violations tripled
As one first-year associate at a top-3 bulge bracket put it on Wall Street Oasis: "Copilot honestly sucks. GPT is great but if it's blocked I can't use it, much less try and use it to create PowerPoints."
The best use case remains converting Word documents or prompts into rough first drafts that require extensive manual refinement. In IB, 80% of the work is in the 20+ revision cycles that follow the initial draft.
AI-native presentation platforms
The consumer AI presentation market has produced impressive companies, but none serve investment banking effectively.
Gamma
Gamma reached $100M ARR, 70 million users, and a $2.1 billion valuation after a $68M Series B led by Andreessen Horowitz in November 2025. With only 50 employees and sustained profitability, it's an extraordinary business — but not an IB tool. Its web-native "card" format doesn't produce traditional 16
slides, PowerPoint exports suffer formatting degradation, and it offers zero IB-specific templates, charts, or data integrations.Tome (shutdown)
Despite raising $81M from Greylock, a16z, and Lightspeed, Tome achieved only ~$3.5M ARR against 25 million users — a devastating monetization failure. Tome sunset its slide product by April 2025 and rebranded as Lightfield (a sales intelligence tool). AngelList acquired the Tome brand for AI document summarization. Lesson: viral AI presentation adoption does not equal revenue when the output doesn't meet professional standards.
Other platforms
Beautiful.ai, Pitch, Slidebean, and Decktopus all share the same fundamental problem for IB: they produce modern, clean presentations optimized for marketing — the opposite of the dense, data-heavy, 8-point-font aesthetic that investment banking demands. None support comps tables, football field charts, tombstone layouts, or live financial model linking.
The emerging consensus: effective IB AI tools must work natively inside PowerPoint, not export to it.
How AI presentation tools compare for IB
Purpose-built IB tools: the real frontier
The most consequential developments are in tools designed specifically for investment banking workflows.
FactSet Pitch Creator
Launched in 2025, FactSet Pitch Creator is the most significant purpose-built product. Leveraging FactSet Mercury (its GenAI chatbot), it works natively within PowerPoint and allows bankers to:
- Input a company name or ticker and auto-generate branded slides with business descriptions, price-volume charts, and summary financials
- Generate credential slides automatically from screening data (Tombstone Generator)
- Refresh content while preserving formatting (ReSlide feature)
With 218,000+ individual FactSet users across banking, it has the distribution for real adoption.
Hebbia + FlashDocs
Hebbia ($130M raised at a $700M valuation, backed by a16z) acquired FlashDocs in May 2025, gaining the ability to convert LLM output directly into fully branded slide decks. The combined platform can ingest virtual data room contents, analyze documents, and generate pitchbooks and CIMs from raw deal data — automating 10,000+ slides per day. Deployed at over one-third of the largest asset managers.
Deliverables AI
Deliverables AI targets boutique and mid-market banks with specialized AI agents for CIM generation, pitchbook creation, and market intelligence. Rather than generating generic slides, each agent produces deal-ready, data-backed presentations with cited sources — addressing the hallucination problem that plagues general-purpose AI tools.
One client reported compressing CIM creation from six weeks to ten days.
Create a pitchbook for [Company Name] in the [Industry] sector. Include a company overview with key financial metrics, competitive positioning analysis, and a market opportunity summary. Format for a sell-side M&A process.
Other IB-specific tools
- Auxi: PowerPoint-native approach with smart alignment, brand compliance, and AI text generation tuned to IB voice
- V7 Labs: Chains multiple AI agents to populate proprietary templates — one runs comps analysis, another builds valuation charts, a third assembles the final deck
- Prezent: $400M valuation with Nomura as a Series C investor, 35,000+ templates, PowerPoint-native output targeting enterprise financial services
Proprietary bank-built solutions
Goldman Sachs and JPMorgan have built the most advanced in-house solutions:
- Goldman's GS AI Assistant: Deployed firmwide to ~46,500 workers in June 2025, model-agnostic (using OpenAI, Gemini, and Claude), can draft pitchbook sections
- JPMorgan's LLM Suite: Scaled to 200,000 users within eight months, reportedly generates five-page pitch deck shells in ~30 seconds
These banks have a decisive advantage — not because their AI is better, but because they control the compliance environment, the data, and the templates.
Banks building proprietary AI tools bypass the months-long compliance review that blocks every external vendor. This isn't a technology advantage — it's a regulatory moat.
Design agencies and offshore formatting teams
Investment banks continue to rely on outsourced formatting services for the "last mile" of production.
IB-specialist offshore firms — Evalueserve (with its Pitchready platform), Acuity Analytics, SG Analytics, and SlideOps — partner with bulge bracket banks. They provide dedicated teams who understand IB formatting conventions and work 24/7 across time zones.
General design agencies serve a broader market:
| Agency | Pricing | Turnaround | Best for |
|---|---|---|---|
| 24Slides | $11–$41/slide | 10-hour options | Volume formatting work |
| SlideGenius | $150/hour ($1K min) | Custom | Financial data visualization |
| Stinson Design | $1,500+ minimum | Custom | Premium one-off presentations |
The overnight turnaround model — send slides at midnight New York time, receive formatted output by morning — remains a workflow that no AI tool has fully replicated.
Pricing comparison
| Tool | Type | Annual cost/user | Best for |
|---|---|---|---|
| think-cell | PPT charting plugin | $230–$323 | Financial charts (waterfall, Marimekko) |
| Macabacus | PPT/Excel productivity | $200–$360 | Excel linking, model auditing, compliance |
| UpSlide | PPT productivity | ~$360 | Excel-to-PPT linking, tombstones |
| Microsoft Copilot | AI add-on | $360 | Draft generation, summarization |
| FactSet Pitch Creator | IB-specific AI | FactSet subscription | Pitchbook automation, tombstones |
| Deliverables AI | IB-specific AI | Contact for pricing | CIMs, pitchbooks, market intelligence |
| Gamma | AI-native platform | $96–$216 | Non-IB presentations, internal drafts |
| Beautiful.ai | AI-native platform | $144–$480 | General corporate presentations |
| Prezent | Enterprise AI | ~$468+ | Enterprise brand-compliant decks |
What analysts actually use AI for today
The most honest signal comes from practitioner forums. On Wall Street Oasis, the thread "How Has Your Team Actually Been Using AI in IB?" reveals a consistent pattern:
AI is used around the edges:
- Research queries ("Google on steroids")
- Summarizing CIMs and long documents
- Proofreading memos
- Drafting buyer lists and company profiles
AI is not reliably used for:
- Creating actual pitchbook slides
- Generating compliant financial charts
- Replacing the template-based workflow
The dominant workflow remains unchanged. As one second-year associate explained: "You shouldn't have to be creating anything from scratch. I always just use a previous template and update."
AI accelerates steps 1 and 2 (initial content generation). Steps 3 and 4 — the revision cycles and final formatting — remain almost entirely manual and account for 80% of total time spent.
Adoption varies by firm type
- Bulge bracket banks (Goldman, JPM, Morgan Stanley): $2B+ annual AI investment, proprietary tools, but compliance reviews take months — ChatGPT is often blocked entirely
- Elite boutiques (Evercore, Lazard, Centerview): Higher template quality but lack budgets for custom LLM deployments
- Middle-market firms (Houlihan Lokey, William Blair): Greatest efficiency pressure, most likely to adopt third-party commercial tools
Six barriers to AI adoption in IB presentations
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Compliance and security: Banks undergo months-long model risk reviews before deploying any AI tool. Regulators (OCC, Federal Reserve, FDIC, SEC, FINRA) apply stringent expectations. The Bank Policy Institute has noted that "the current approach is slow and overly cautious."
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The precision gap: Banking presentations require exact hex color codes, pixel-perfect alignment, specific font sizes, and complex financial chart types that no generalist AI can produce.
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Data hallucination: AI fabricates plausible-sounding financial data. A single wrong number can kill a deal or create legal liability. Every AI-generated statistic must be manually verified.
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Template lock-in: Banks have decades of proprietary formats. AI tools that start from blank canvases offer limited value to teams that iterate on existing templates.
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Organizational culture: Many senior bankers view grunt work as essential training. "No one is talking about reducing headcount" despite AI investment.
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Data silos: Deal information lives in fragmented systems — CRM, data rooms, email, Excel models — making it difficult for AI tools to access the information they need.
The competitive landscape is reshaping around three layers
JPMorgan LLM Suite
auxi · V7 Labs
Infrastructure layer: FactSet, S&P Capital IQ, and Bloomberg provide the financial data feeding every presentation. FactSet's Pitch Creator represents the first credible attempt to extend data provision into automated slide generation, leveraging distribution to 218,000+ users.
Productivity layer: think-cell, Macabacus, and UpSlide compete for the PowerPoint add-in budget. think-cell's potential €3B sale is the defining transaction — if achieved, it validates the durability of specialized tools against AI commoditization. If it falters (its term loan pricing suggests skepticism), it signals that investors believe Copilot will eventually replicate think-cell's charting capabilities.
AI generation layer: Goldman's proprietary tools, JPMorgan's LLM Suite, and Hebbia's end-to-end platform represent the high end. Deliverables AI, auxi, and V7 Labs target the mid-market. Gamma dominates the consumer segment but remains irrelevant for IB.
The trend for 2026: consolidation around PowerPoint-native, data-connected, compliance-grade tools. The winners will be those that work inside bankers' existing workflows — not those that ask bankers to adopt an entirely new platform.
Frequently asked questions
What is the best AI tool for creating investment banking pitchbooks?
There is no single best tool — the answer depends on your firm's size and existing stack. Bulge bracket banks are building proprietary solutions (Goldman's GS AI Assistant, JPMorgan's LLM Suite). Mid-market firms benefit most from IB-specific commercial tools like FactSet Pitch Creator or Deliverables AI that connect real financial data to slide output. For financial charting specifically, think-cell remains the industry standard.
Can Microsoft Copilot replace analysts for pitchbook creation?
No. Copilot generates rough first drafts but cannot produce IB-standard charts (waterfall, football field, Marimekko), fabricates financial data, and doesn't understand pitchbook formatting conventions. Adoption at banks that have rolled it out has been extremely low — as low as 8% in one documented case. It's useful for initial content generation but requires extensive manual refinement.
Why don't investment bankers use Gamma, Beautiful.ai, or other AI presentation tools?
These platforms produce modern, clean presentations optimized for marketing and sales — the opposite of what IB demands. Investment banking presentations are dense, data-heavy documents with specific chart types, comps tables, and tombstone layouts. None of these platforms support live financial model linking or PowerPoint-native editing, which are non-negotiable requirements for deal teams.
How much do investment banks spend on presentation tools?
A typical per-analyst stack costs $900–$1,400/year: think-cell ($230–$323), Macabacus ($200–$360), UpSlide (~$360), and Microsoft Copilot ($360). This excludes FactSet/Capital IQ subscriptions ($15,000–$25,000/year per seat) and offshore formatting services. Bulge bracket banks collectively invest $2B+ annually in AI across all functions.
Is it safe to use AI tools with confidential deal information?
This is the top concern for compliance teams. Tools like Macabacus address this by routing AI processing through the firm's own Azure infrastructure — no data leaves the client's environment. Most consumer AI tools (ChatGPT, Gamma, etc.) are blocked at major banks precisely because they send data to external servers. Purpose-built IB tools increasingly offer on-premise or private cloud deployment options.
Will AI replace investment banking analysts?
Not in the near term. AI is accelerating research, document summarization, and initial draft generation — the "around the edges" tasks. But the core workflow of iterative template refinement across 20+ revision cycles, with pixel-perfect formatting and senior banker feedback, remains manual. The more likely outcome is that analysts spend less time on rote formatting and more time on analysis and client interaction.
What should a mid-market bank evaluate when choosing AI presentation tools?
Focus on four criteria: (1) PowerPoint-native operation — tools that work inside your existing workflow, not as separate platforms; (2) data connectivity — direct links to FactSet, Capital IQ, or your own financial models; (3) compliance architecture — private deployment, no data exfiltration, audit trails; and (4) IB-specific output — support for deal-standard chart types, comps tables, and formatting conventions.
Resources and references
- Wall Street Oasis: "How Has Your Team Actually Been Using AI in IB?" — practitioner discussion of real AI adoption in banking
- think-cell 14: More Efficiency, More Flexibility — latest charting and layout features
- FactSet Launches AI-Powered Pitch Creator — IB-specific AI presentation automation
- Hebbia Acquires FlashDocs — AI document analysis to slide generation pipeline
- The Overlooked Risk in Bank AI Adoption: Regulatory Inaction — industry perspective on compliance barriers to AI adoption
Get started with AI-powered deal presentations
Ready to compress your CIM and pitchbook creation timeline? Deliverables AI's specialized agents generate deal-ready, data-backed presentations with cited sources — built for the standards investment bankers expect. See how it works or explore prompt examples to get started.
