Positioning Brief for Reps and AMs

DealRoom AI vs DealRoom MCP

Two products, two jobs, one workflow. DealRoom AI is the always-on assistant built into the platform. DealRoom MCP is the on-demand connection to the LLMs your customer already uses. They complement, they do not compete.

DealRoom AI

Always-on, built in

DealRoom drives. The customer does not prompt it.

Who it's for

Corp dev leaders, deal admins, and buy-side teams 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

Captures email context, keeps deal cards and pipelines current, surfaces follow-ups, generates document overviews with citations, runs room-wide chat, matches files to requests. Defined product capabilities working in the background, available to every user with platform access.

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 the Data Room

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

On-demand, in their LLM

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

Who it's for

Due diligence analysts, functional partners (legal, finance, IT, HR), external advisors, and any stakeholder who lives in their own AI tool, Claude, ChatGPT, Copilot, Harvey, or Hebbia.

Value prop

Extends DealRoom into the LLMs the customer already uses. Open-ended analysis, cross-deal synthesis, custom diligence frameworks, workflow across systems. Anything the LLM does, applied to DealRoom data under DealRoom permissions and audit.

Jobs to be done

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 findings back into DealRoom. The analyst reviews and refines without leaving Claude.

Sourcing

Cross-system workflow automation against inbound deal flow.

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. Pipeline stays current with no manual entry.

Leadership synthesis

AI-assisted work that goes beyond the defined feature set of DealRoom AI.

Customer story A corp dev leader asks Claude to analyze the full pipeline through the MCP and produce a board-ready synthesis. Claude reads every active deal, finds stalled targets, surfaces high-potential opportunities, and drafts the slide content. The leader reviews and pushes it to the board.

Quick comparison

DealRoom AI DealRoom MCP
Who drives DealRoom (always on, in the background) The user (prompts from their own LLM)
Where it lives Inside DealRoom Inside Claude, ChatGPT, Copilot, Harvey, Hebbia
Primary user Corp dev leaders, deal admins, buy-side team Analysts, functional partners, external advisors
Scope of work High-frequency, structural, defined capabilities Open-ended, ad-hoc, deep, cross-system
Lifecycle coverage Pipeline and data room Full deal lifecycle
Trigger Activity in the platform (email, file drop, request) User prompt in their AI tool

Why do I need both?

They serve different jobs in the same workflow.

DealRoom AI handles the structural work

The high-frequency tasks the deal team needs done without thinking about it. Pipeline stays current. Documents get overviews. Follow-ups surface. Every customer using DealRoom benefits, regardless of whether they have an LLM strategy.

DealRoom MCP handles the deep work

The open-ended, ad-hoc analysis the deal team drives through their own AI tool. Cross-deal analysis. Custom diligence. Leadership synthesis. Workflow across DealRoom and the customer's other systems. Every customer using AI tools benefits, regardless of 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 analyst, functional partner, and external advisor depth and flexibility from inside the AI tools they already use. Together they make DealRoom the AI-ready foundation for M&A work, regardless of where the user prefers to sit.