Positioning Brief for Reps and AMs

DealRoom AI vs DealRoom MCP

Two products, two jobs, one workflow. DealRoom AI is built into the platform and accelerates the deal team's daily work. DealRoom MCP connects DealRoom to the AI agents your team already uses. They complement, they do not compete.

DealRoom AI

For Pipeline & Due Diligence

Some features run automatically. Others respond to a prompt. Human approval on every suggestion.

Who it's for

Corp dev leaders, deal admins, and the buy-side team running deals inside DealRoom every day. The people whose job is to keep the pipeline current and run diligence to a clean close.

Value prop

DealRoom AI is built into DealRoom and works on the deal data your team is already managing. Some features run automatically in the background. Others respond to a prompt from the user. Every suggestion goes through human approval before anything is committed to the deal record. We are not automating people away. We are accelerating the people doing deals inside DealRoom.

What your team gets
  • Automatic capture of email threads, contacts, and attachments to the right deal (Outlook plugin)
  • AI-suggested deal card updates when new information arrives in email
  • AI-suggested follow-up tasks pulled from email commitments
  • Live deal overviews on every deal in the pipeline
  • Document overviews with citations on every file in the data room
  • AI chat at the data room level and the document level
  • AI-suggested file-to-request matches at diligence kickoff
  • Human approval required on every suggestion before commit
Jobs to be done

DealRoom AI for Pipeline

Keep the pipeline current without manual upkeep. Capture every email, contact, and document automatically. Surface follow-ups before they slip. Generate live deal overviews leadership relies on.

Customer story A corp dev lead at a serial acquirer is running 18 active targets. Today the lead either re-enters data by hand or watches deal cards go stale. With Pipeline AI, the Outlook plugin captures the thread, the financial update lands on the deal card, a follow-up task is drafted to send the NDA by Friday, and the deal overview refreshes. Three minutes a day reviewing suggested updates instead of thirty re-entering data.

DealRoom AI for Due Diligence

Tame the early, messy weeks of diligence. Find the right documents fast. Generate overviews and citations reviewers trust. Match files to requests at scale.

Customer story A seller drops 600 files into the room against a 200-item request list. Mapping by hand takes a week. With Data Room AI, the file-to-request mapping is proposed in the background and the team confirms in hours. Reviewers open a 90-page MSA and see a structured overview of parties, dates, indemnification, and termination, with click-through to the cited passage.
DealRoom MCP

Connects to your AI agents

The user drives. DealRoom is the source of truth underneath.

Who it's for

Anyone on the deal team using AI agents. Corp dev leaders and their analysts running strategic sourcing, target research, pipeline analysis, and IC prep. Investment committees aligning on analysis, progress, and decisions. Due diligence analysts and functional partners across legal, finance, IT, and HR. External advisors supporting the deal. Anyone in the customer's org who works in Claude, ChatGPT, Copilot, or any AI agent supporting MCP Server connections.

Value prop

DealRoom MCP connects DealRoom to your AI agent of choice. Your team and stakeholders drive the work from inside the AI tool they already use. DealRoom is the source of truth underneath, with permissions and audit preserved.

What your team does with it
  • Research markets and targets, then create deal records directly in DealRoom
  • Parse inbound teasers from bankers into clean pipeline entries
  • Run cross-deal analysis for IC prep or leadership reviews
  • Compare contracts, financials, and filings across data room documents
  • Draft IC memos and diligence findings with citations back to DealRoom artifacts
  • Set up a new diligence room (folders, request list) from a single prompt at LOI
  • Connect deal workflow across DealRoom and other systems your team uses
Jobs to be done

Strategic sourcing

Shape the next wave of targets from inside the AI agent.

Customer story A corp dev VP is shaping the next wave of acquisition targets in a specific vertical. She asks Claude through the MCP to pull every deal in the pipeline tagged to the vertical, summarize past outreach, and identify whitespace against the firm's strategic priorities. Claude drafts a market map and a prioritized target list. She refines, asks for outreach drafts, and pushes the new deals back into DealRoom.

Teaser to pipeline

Turn inbound deal flow into clean pipeline entries.

Customer story A corp dev analyst gets ten teasers from bankers in a week. They paste each into ChatGPT, which extracts the target, financials, and deal size, checks DealRoom for duplicates through the MCP, and creates a clean deal record with the teaser attached. The pipeline stays current with no manual entry.

IC alignment

Shared context for committee members preparing for the same review.

Customer story A corp dev VP prepares for Tuesday's IC review on a $40M acquisition. She asks Claude through the MCP to pull the deal record, recent findings, financial diligence notes, and email exchanges with the target's CFO, then draft an IC memo following the firm's standard template. The IC chair runs the same MCP from his own Claude to compare the target against three similar deals from the past year and stress-test the financial assumptions. Both walk in with shared context grounded in the same DealRoom data.

Analyst depth

Deep diligence analysis driven by the analyst inside their preferred AI tool.

Customer story A diligence analyst opens Claude and asks it to compare indemnification and limitation-of-liability clauses across the eight MSAs in the data room. Claude pulls the documents through the MCP, runs the comparison, drafts a memo with citations, and writes the resulting findings back into DealRoom. The analyst reviews and refines without leaving Claude.

Quick comparison

DealRoom AI DealRoom MCP
Who drives DealRoom or the user, with human approval on every suggestion The user (prompts from their own AI agent)
Where it lives Inside DealRoom Inside Claude, ChatGPT, Copilot, or any agent with MCP support
Primary user Corp dev leaders, deal admins, buy-side team Corp dev leaders, analysts, IC members, functional partners, external advisors
Scope of work High-frequency, structural, defined capabilities Open-ended, ad-hoc, deep, cross-system
Lifecycle coverage Pipeline and due diligence Full deal lifecycle
Trigger Platform activity (email, file drop, request) or user prompt User prompt in their AI agent

Why do I need both?

They serve different jobs in the same workflow.

DealRoom AI handles the repetitive work

The high-frequency tasks the deal team needs done without thinking about it. Pipeline stays current. Documents get overviews. Follow-ups surface. Every suggestion is reviewed and approved by the user before anything is committed. Every customer using DealRoom benefits, whether or not they have an AI strategy.

DealRoom MCP handles the open-ended work

The work your team drives through their own AI agent. Strategic sourcing. IC prep. Cross-deal analysis. Deep diligence. Workflow spanning DealRoom and your other systems. Every customer using AI agents benefits, no matter how many seats they have inside DealRoom.

A buy-side team running fifteen deals at once needs both. DealRoom AI keeps the system of record current and accelerates the structural work. DealRoom MCP gives every corp dev leader, analyst, functional partner, IC member, and external advisor depth and flexibility from inside the AI tools they already use.

The same corp dev VP uses both products. DealRoom AI keeps her pipeline current in the background, captures email context, and surfaces follow-ups. DealRoom MCP lets her drive strategic sourcing, IC prep, and ad-hoc analysis through her AI agent of choice. Same user, different jobs, one source of truth.

Together they make DealRoom the AI-ready foundation for M&A work, regardless of where the user prefers to sit.