From AI for Analysts to AI for the Entire Deal Team
by Eric Chang, CEO and Co-Founder, Claira
The last two years of AI have been defined by the individual analyst. Armed with ChatGPT or Claude, individuals are summarizing documents and drafting memos at 10x speed. But there is a hidden cost: Individual productivity does not equal firm-wide intelligence.If your analysts are using AI in silos, you aren't building a smarter firm; you’re just accelerating the creation of fragmented data. At Claira, we believe the industry is hitting a ceiling with "Copilots." The future isn't an AI assistant for every person—it’s an Agentic Platform for the entire deal team.
Capturing the Institutional Memory of the Firm
In investment management, your most valuable asset is your Institutional Memory. Yet, in most firms, that memory is a sieve. It leaks through Teams chats, email correspondence, IC meeting notes, and the heads of analysts who eventually walk out the door.
Over time, this creates a fragmented knowledge base:
Analysts redo research that was already done
Institutional memory disappears when someone leaves
Valuable debates from past investment committees are never revisited
The Agentic Shift: An agentic platform doesn't just help you write a memo; it acts as the firm’s permanent neocortex. It captures the nuance of why a deal was killed in 2024 and automatically resurfaces that logic the moment a similar company hits the top of the funnel in 2026.
This has an important downstream effect: analysts come into the investment committee far better prepared. By understanding the questions that historically come up for similar deals, they can proactively address the basics in their analysis and materials. The result is that IC discussions spend less time revisiting foundational questions and more time debating the truly strategic aspects of the investment.
The Point of View: If your AI doesn't have the context of what your firm knew yesterday, it’s not an asset—it’s a distraction.
Supporting Team Coordination
One of the most common problems in investment teams is simple coordination.
A new deal comes in. An analyst starts digging in. Only later does someone realize that another team member looked at the same company—or a similar one—a year ago.
An Agentic platform moves AI from a passive "search box" to an active participant.
Proactive Surfacing: The system doesn’t wait for you to ask. It flags: "You are reviewing a payments company. Sarah gave a 'No' to a similar cap table structure in 2023. Here are her notes."
Institutional Continuity: Knowledge is no longer tied to tenure. The "firm's brain" stays intact even when the team rotates.
Making Investment Decisions More Data-Driven
Every firm has an implicit framework for evaluating deals—factors that matter more than others based on their history of investments and outcomes.
Yet those frameworks are rarely explicit.
Agentic AI platforms can analyze a firm’s own investment history to identify the patterns that matter most:
Key attributes associated with successful deals
Signals that historically correlated with weaker outcomes
The factors teams consistently debate or prioritize
These insights can then be used to help rank and evaluate new opportunities, allowing investment teams to become more consistent and data-driven in their decision-making.
Faster, More Productive Investment Committee Discussions
Another powerful benefit of AI inside the investment workflow is speed of access to institutional knowledge.
In a typical investment committee meeting, questions frequently arise that require digging through past materials:
“Didn’t we look at something similar a few months ago?”
“What were the concerns we had about that other industrial company?”
“Did we ever analyze this type of revenue model before?”
Traditionally, these questions turn into follow-up items. Someone needs to search through deal folders, emails, or notes after the meeting.
With AI, the answers can be surfaced instantly.
During the discussion, the team can immediately pull up relevant past deals, previous IC debates, and related analysis. This allows the committee to resolve questions in real time, keeping discussions focused and moving forward.
The result is investment committee meetings that are both faster and more productive, with better context available at the moment decisions are being made.
AI That Scales the Team, Not Just the Individual
The first wave of AI tools focused on improving individual productivity.
The next wave will focus on improving how organizations think and make decisions together.
That’s the core idea behind agentic AI for investment firms: not just helping analysts work faster—but helping the entire deal team operate with the full intelligence of the firm behind every decision.
