The catch: outputs stay trapped inside the chat window.

You still have to move content into its final format, fix layouts, wire up formulas, and rebuild charts.

Claude’s latest release removes that last-mile bottleneck.

Claude can now create and edit spreadsheets, documents, slide decks, and PDFs.

For the first time, you can prompt (and upload data) and get ready-to-use files in return.

In the demo above we gave Claude

• A data room

• Our firm’s investment memo template

• A single prompt

And Claude was able to generate a ready-to-use investment memo that contained

• Analysis and content for all the sections in our template

• Inline charts and tables

• Content and charts that matched our firm’s template (branding assets, color scheme, structure and formatting)
  

What file creation enables

• Time-to-ship ≈ zero. Go from prompt → firm-ready files.
  

• On-brand by default. Materials match your firm’s conventions—branding, structure, format.
  

• Models that compute. Prompt → live, formula-driven workbooks.
  

• Cross-format work. Transform a PDF into a deck. Upload a data room and get a structured investment memo.

Practical tips

• Start from templates. Point Claude to your firm’s memo, deck, and model templates and have it edit those files directly.
  

• Centralize prompts. Keep a prompt library (“IC memo,” “cohort model,” “market sizing deck”) so output stays consistent and workflows are repeatable.
  

• Citations & assumptions. Require a references section plus assumptions, drivers, and known limitations at the end of each document.
  
  

LLMs already accelerated thinking. Native file creation accelerates shipping.

This is the first real example of fully automated, end-to-end knowledge work.

A firm’s network is its most valuable asset. Yet most firms rely on memory and LinkedIn Title / Company searches to find relevant matches for diligence, recruiting, customer introductions etc… Memory, LinkedIn, CRMs only have basic fields to match against. In the era of LLMs each person in your network can be matched against a deep knowledge base of their domain expertise and the context of the roles and companies they’ve worked for. LLMs generate super relevant network matches instantly for complex and super specific searches that just aren’t possible with LinkedIn / CRMs.

Book a 30 Min Discovery Call

Firms embracing the latest tech can move faster and get the most value out of their network. Firms that ignore these technological advances will get left behind.

Book a 30 Min Discovery Call

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‎The Five Automation Segments for PE & VC

Think of these as the core “lanes” where AI can give your team more leverage without adding headcount.

Each segment solves a different bottleneck — and when connected, they create a flywheel that accelerates sourcing, diligence, value creation, and exit readiness.

1. Complex / Unstructured Documents

If you’ve ever sat through a weekend flipping between CIMs, audited financials, and supplier contracts, you know the pain:

• Data trapped in scanned PDFs

• Inconsistent formats

• Tables embedded as images

• KPIs hiding in footnotes

Automation Opportunity:
Modern parsing pipelines combine OCR, vision models, and LLMs to extract every table, metric, and clause with source citations. This means you can:

• Ingest an entire data room in minutes, not days

• Build a structured, queryable dataset for analysis

• Generate IC memos with evidence-backed numbers

Example:
One PE client reduced IC memo prep from 12 analyst hours to under 2 — without sacrificing accuracy.

2. Diligence

Diligence is where the clock runs fastest — and every missed insight is costly.

Common bottlenecks:

• Expert network calls scattered across transcripts

• Manual public comps research

• Risk checks siloed in separate spreadsheets

Automation Opportunity:

• Auto-summarize expert calls into actionable insights

• Generate market comps from live data sources

• Flag inconsistencies between financials and contracts

• Run “AI exposure” assessments for industry risk mapping

Example:
A growth equity firm we worked with cut their first-pass diligence cycle from 3 weeks to 3 days by automating data extraction, cross-referencing, and memo drafting.

3. Network Intelligence

Most firms underestimate the value hidden in their own network data.

Your CRM, LinkedIn connections, deal history, and even partner blog posts form a relationship knowledge base — but it’s often fragmented across tools.

Automation Opportunity:

• Merge CRM, LinkedIn, and historical deal data into a single graph

• Enrich profiles with public domain expertise (articles, speaking events, prior investments)

• Auto-suggest relevant intros for sourcing, portfolio BD, or recruiting

Example:
We helped a mid-market PE firm surface 12 “hidden” 2nd-degree connections to strategic advisors & VPs that turbocharged their portfolio company’s success.

4. Outbound

Outbound sourcing is one of the highest-ROI activities in PE/VC — and also the most labor-intensive.

Traditional process:

1. Research target

2. Write personalized outreach

3. Send

4. Follow up manually

Automation Opportunity:

• Use a research agent to pull firm insights, market relevance, and network overlap in seconds

• Draft personalized emails that sound like your team — not a bot

• Trigger follow-ups on specific events (funding rounds, leadership changes, product launches)

• Approve, edit, or delete from a “human-in-the-loop” queue before sending

Example:
One venture fund doubled their outbound volume without hiring more associates, while actually increasing reply rates thanks to hyper-relevant personalization.

5. Marketing & Investor Relations

PE and VC marketing isn’t about going viral — it’s about credibility, insight, and trust.

Your LPs, co-investors, and founders want to see:

• Clear portfolio updates

• Thought leadership in your sectors

• Evidence of operational expertise

Automation Opportunity:

• Turn long-form research into digestible LinkedIn posts or LP updates

• Expand short-form posts into in-depth market reports

• Automate DDQ responses with consistent, accurate data

• Track LP news and proactively surface engagement opportunities

Example:
A PE client automated their portfolio updates newsletter as well as their content marketing without adding a marketing role.

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Book a 30 Min Discovery Call

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How to Prioritize Your Automation Rollout

It’s tempting to try to tackle all five segments at once. But the most successful implementations follow a simple 3-step sequence:

1. Map Your Friction – Identify where deals are getting stuck or delayed.

2. Pick Two Segments – Start with the ones tied to revenue or risk.

3. Layer Over Time – Once those are stable, add adjacent segments for compounding impact.

This “layering” is key — each segment makes the others stronger.
For example:

• Document parsing (Segment 1) makes diligence (Segment 2) faster.

• Network intelligence (Segment 3) feeds outbound (Segment 4).

• Marketing automation (Segment 5) keeps the flywheel turning.

Why This Works for Lean Teams

For solo GPs, family offices, and lean PE/VC teams, the math is simple:

• A good automation system acts like 5–10 extra team members — without the headcount.

• You keep decision-making human, but offload the manual work to AI.

It’s the same principle McKinsey uses in client engagements: get the junior work off your senior people’s plates, so they can focus on high-value activities.

2025 is the Year to Build Your Internal AI Edge

External AI tools are getting better, but they’re also getting more commoditized.

The firms creating sustainable advantage are the ones building internal systems:

• Fed by your unique data

• Customized to your workflows

• Owned and controlled by you

That’s the difference between having AI and having an AI moat.

Next Step: Get Your AI Workflow Map

We offer a 30-Minute AI Workflow Mapping Session for PE/VC teams.
In it, we:

• Identify your top 2 automation opportunities

• Show how they connect to the other segments

• Outline a 30-day build plan

No fluff. No generic advice. Just a blueprint tailored to your firm.

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Book a 30 Min Discovery Call

Book a 30 Min Discovery Call

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** This is just one type of possible implementation. ChatGPT can be replaced with Claude or whatever other LLM your firm is already using.
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Proprietary Sourcing Classification Model

Your CRM contains a rich source of proprietary data that can be used to train a firm-specific sourcing classification model. The model can be applied to company datasets to find the best company matches for your firm.

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Book a 30 Min Discovery Call

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** ChatGPT can be replaced with Claude or whatever LLM you’re already using at your firm.

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Book a 30 Min Discovery Call

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Book a 30 Min Discovery Call

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Book a 30 Min Discovery Call

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