1. Embedded AI: Enhanced Targeting, Meeting Preparation, and Automated Record Updates
InvestorFlow announced expanded support for AI embedded into the core workflows of the IR team, starting with precision targeting of potential investors and leading to automated provision of secure fund diligence rooms. Embedded AI works inside the InvestorFlow products teams already use, so there is no new screen to learn:
[Image: Embedded AI targeting and diligence room]
- Precision targeting: build a prospective fundraise list by querying the CRM and market data together, then rank prospects by engagement, relationship strength, and investor preferences.
- Meeting preparation: see when you last met an LP, what was discussed, and who on your team knows them best before every call.
- Automated record updates: AI proposes updates to pipeline and contact records from meetings and emails, and your team approves them before anything is written.
- Secure diligence rooms: move qualified prospects straight into a fund diligence room in the InvestorFlow Portal.
2. Interactive AI: Interactive Mode with Claude, ChatGPT, and Copilot
InvestorFlow announced new capabilities for Interactive AI, where users can use their AI harness of choice to interrogate the InvestorFlow platform through the new InvestorFlow Model Context Protocol (MCP) server. Many firms have already rolled out an enterprise AI assistant, and their teams want to use it for fundraising questions. The InvestorFlow MCP connects Anthropic’s Claude, OpenAI’s ChatGPT, or Microsoft Copilot to InvestorFlow, so a user can ask a question in the tool they already use and get an answer drawn from the platform.
[Image: blog-image-claude-fundraise-pulse.jpg]
Two rules keep it safe to use at scale:
- It reads only what you can see. The assistant works within each user’s existing InvestorFlow permissions.
- It changes nothing without approval. Any update to a record is proposed first, and the user approves it before it’s written.
In the webcast, we used Claude to build a weekly fundraise pulse from InvestorFlow data, with signed commitments, open pipeline, next steps, and the decisions for the partners pulled straight from the platform.
3. Agentic AI: AI Fundraising Assistant for Microsoft Teams
InvestorFlow announced a new AI Fundraising Assistant for Microsoft Teams. The assistant details targets, pipeline, preparation, and actions to optimize team execution and fundraising success. Most IR and fundraising teams already run their day in Teams, so that’s where the assistant lives. It handles three jobs:
[Image: blog-image-teams-assistant.jpg]
- Meeting prep: ask about an LP before a call and get the relationship history, recent conversations, and open items in the chat.
- Meeting notes: capture what was discussed and the next steps that came out of it.
- Ask it anything: questions about your pipeline, a fund, or an investor, answered from the data you already have permission to see.
In the webcast demo, the assistant pulled together the last touchpoint with a prospect, what was discussed, the open next steps, and who on the team should follow up.
4. The InvestorFlow Private Markets Skills Library
InvestorFlow announced its Private Markets Skills Library of packaged skills, validated against the major AI providers to generate accurate and traceable results. The same skills power every InvestorFlow interface and app, and clients can use them to build their own. Each skill is governed by human review to ensure accuracy and build confidence for users, and cites its sources so people can check the result.
[Image: Skills Library]
The library launches with 31 skills across six areas:
- Institutional Fundraising (10): including Fundraising Alpha Executive Report, LP Targeting, LP Investment and Allocation Preferences, Opportunity Brief, and Pipeline Auto Updates.
- Private Wealth Fundraising (4): Advisor Whitespace Targeting, Firm Summary, Financial Advisor Summary, and Firm and Advisor Targeting.
- Investor Services (4): including Investor Inquiry Brief and Triage, LP Engagement, and Document Search.
- Capital Deployment (4): Actionable Quarter (AI-Prioritized Targets), Financial Metrics, Target Company Summary, and Deal Summary.
- Real Assets and Asset Management (5): including Inbound Deal Capture, Real Estate Deal Insights, and Offering Memo Document.
- AI Productivity Core (4), shared across all applications: Contact Profile, Meeting Management, Relationship Intelligence, and Entity Recognition in the Email Add-In.
Skills marked Live are in use today; Labs skills are still working through quality and reliability checks. New skills join the same governed library instead of living as one-off prompts, so it grows without adding risk.
5. InvestorFlow’s Technical Architecture Built for AI
InvestorFlow announced a new reference architecture to enable AI, including compatibility with leading AI harnesses such as Claude, ChatGPT, and Copilot, and collaboration tools like Microsoft Teams, on a unified data model with access provided by InvestorFlow’s new MCP server.
[Image: investorflow-ai-architecture-blue.png]
The architecture runs from the tools your teams already work in down to the systems you already run. Teams, Slack, Claude, ChatGPT, and Copilot sit at the top. Fundraising, Deal, and Investor Services Chiefs of Staff and the skills library do the work, drawing on one unified data model for funds, investors, investments, financials, and documents. The InvestorFlow MCP is the single managed path to your CRM, portal, and market data, so every request follows the same rules whoever asks it.
It is built for enterprise firms. Your people check AI results, with transparent sourcing for every finding. A detailed permissions system controls what each user and assistant can see and do, and modules also work with Azure and Snowflake. New features ship in small, frequent releases, each tested before it reaches you.
How to get started
- Watch the full recording of AI in 2027: What Fundraising Teams Need to Know
- See Interactive AI with Claude, the AI Fundraising Assistant with Microsoft Teams, and the InvestorFlow MCP in action
- Work with your InvestorFlow account team to choose the skills to roll out first
FAQ
Which AI assistants work with InvestorFlow? Through the InvestorFlow MCP, teams can use Anthropic’s Claude, OpenAI’s ChatGPT, or Microsoft Copilot. The AI Fundraising Assistant also works directly inside Microsoft Teams.
Can the AI change our CRM records on its own? No. It reads only what each user is permitted to see, and every change is approved by the user and recorded.
What is the InvestorFlow MCP? MCP stands for Model Context Protocol, an open standard for connecting AI assistants to business systems. The InvestorFlow MCP is the single, governed path an assistant uses to reach your CRM, investor portal, and connected market data.
What’s the difference between a Live skill and a Labs skill? Live skills are in use today. Labs skills are earlier in development and still working through quality and reliability checks before general release.
Do we need a new system to use any of this? No. It runs on the InvestorFlow products you already own: Pipe+, the InvestorFlow Portal, SmartSync, and the Email Add-In.
