Key Takeaways

  • RallyDay Partners partnered with portfolio company Nimble Gravity, a data and AI consultancy, to run an internal AI overhaul scheduled through the end of the year.
  • The firm brainstormed 50 distinct PE workflow use cases and narrowed the roadmap down to 10 high-value applications deployed in rolling waves.
  • Sourcing acceleration centers on rapid thesis generation and Point of View (POV) briefs, letting junior deal teams master unfamiliar subsectors within minutes of receiving an inbound CIM or meeting a founder.
  • Current large language models hit a ceiling when converting raw data into persuasive IC presentations; they function as informational synthesizers rather than judgment engines.

The 50-to-10 Pipeline at RallyDay

Private equity firms often drown in long lists of hypothetical software efficiencies. When RallyDay Partners decided to test artificial intelligence inside their lower middle market buyout shop, they avoided buying generic off-the-shelf wrappers. Instead, they tapped their own portfolio company, Nimble Gravity, to audit deal workflows directly.

The exercise began wide. The team mapped out 50 separate pain points across screening, diligence, and monitoring where automation might save hours. They ruthlessly cut that list to 10 core projects. As Caroline Carman explains, “we made a list of like 50 use cases of, hey, if AI could do this, this, this, this, and this, that would make our jobs better, our lives better. We could focus on things that matter more... So we narrowed down the list from 50 to like 10 and we're focusing on those 10 and they're kind of rolling out in waves.”

By executing in structured phases with an embedded technical partner, the firm bypassed the common pitfall of broad, unfocused tool rollouts. They targeted discrete, repetitive steps where speed creates immediate leverage for lean investment teams.

Fast Sector Briefs vs. Strategic Persuasion

The clearest early win came in early-stage market mapping. When an unexpected deal book lands or an associate meets an interesting founder at an industry event, the team must evaluate niche markets where they have zero prior footprint. RallyDay uses automated pipelines to generate rapid point-of-view documents on demand.

Carman noted the practical speed gain in deal screening: "So, one is kind of putting together, we call them POVs, like a point of view on a thesis. And it's something maybe that we're interested in. It's opportunistic. We maybe met a founder at a conference or like a book came in the other week on this industry and we know nothing about it. How can we get up to speed really quickly? I think the AI is really good at getting to like the top 10 things you need to know about this industry really quickly."

Yet the efficiency gains stop at the boundary of synthesis. Large models can pull industry dynamics, competitive lists, and value-chain breakdowns in seconds. They cannot, however, formulate the investment angle or defend a valuation multiple in front of an investment committee.

Carman points out the exact operational boundary: “I think where AI struggles... is then putting that into a compelling story and presentation line and being able to share that perspective with someone else. I don't think the AI is persuasive yet. It's just informational.”

Building an investment case requires isolating structural anomalies, underwriting risk tolerances, and reading management dynamics. Automated systems return averages and consensus summaries. Persuasive deal memos require taking non-consensus positions.

Why It Matters

The compression of sector research from days to minutes removes the traditional speed advantage once held by large-cap research teams. Lower middle market shops running lean associate pools can now evaluate wider deal funnels without adding headcount. Real deal alpha shifts entirely away from basic market synthesis toward proprietary founder access, bespoke transaction structuring, and board-level conviction.