Deal Workspace · Project Grove
The Deal Workspace hero for an illustrative software deal after closing
Project Grove at Post-close (illustrative).

A $1.1 billion software deal wants $110 million of R&W cover. No single market in the book has that capacity. The placement becomes a tower — a primary and excess layers — and every layer has a binder, then a policy, to check.

Project Grove (illustrative) is the post-close deal in the demo book: bound, closed thirty days ago, with two quotes on file — Meridian at $50M and Summit at $40M, both over $5.5M. This post walks back through how a large deal is shaped and what the record holds after closing. Every name and figure is fictional.

Use case card
DealProject Grove Illustrative — software, EV $1.1B
Ask$110M over $5.5M (0.5% of EV)
QuotesMeridian $50M for $1.4M; Summit $40M for $1.1M — each flagged “limit below the ask”
Market fitZero strong, four possible: every market’s capacity is short of $110M
Binder checkOne difference, none high
ControlBIND_ABOVE_AUTHORITY — refer
OutcomeA recorded tower decision, checked binders and a signed bind; the deal kept for its claims period

When no market can carry the ask

The market agent’s reasons say it directly: “Capacity $50M — short of the $110M asked (a primary with excess, or a lower limit)”. That sentence is the start of the tower conversation with the client: buy the full limit across layers, or buy less.

flowchart TB L3["Excess 2: $20M xs $90M"] --- L2["Excess 1: $40M xs $50M"] L2 --- L1["Primary: $50M xs $5.5M retention"] L1 --- R["Retention: $5.5M,
drops after 12 months"] style L1 fill:#fef3c7,stroke:#b45309 style L2 fill:#f4f6ff,stroke:#8089a8 style L3 fill:#f4f6ff,stroke:#8089a8

An illustrative tower shape. In the demo book Grove carries the primary and one excess quote; the layers above are a sketch of the conversation, not data.

Step by step

Project Grove, bind to post-close Illustrative.
1
No strong fitMarket agent1

Four possible markets, each short of the ask; the shortlist is prepared with the shortfall named for each.

2
Quotes comparedComparison engine2

Both quotes flagged below the ask; rate on line, total cost and conditions computed for each.

3
Tower agreedDeal broker and client3

The client takes the primary and excess; the decision and its note are recorded.

4
Binder checkedBinder agent4

One difference, not high; prepared for the broker with the field named.

5
Sign-offSupervisor agent5

Limit above the broker’s authority: the practice leader signs off the bind.

6
ClosingDeal6

Bring-down no-claims declaration at closing, a condition on every quote in the book.

7
Policy against binderBinder agent7

When the policy is issued it is checked against the binder, not the quote.

What the screens show

Deals · Pipeline
The deal pipeline as a board by stage, on illustrative data
The pipeline on illustrative data. Seven stages from Engaged to Post-close (the first five shown here; open the full board), each deal with its EV, the limit asked, findings waiting, high findings, quotes in and days to signing.

What stays on the record after closing

ItemWhy it matters later
The reps table with diligence behind eachA claim on a rep starts with what diligence covered and what was excluded.
Findings with their reviewsWhat was known to the deal team, and when — the known-breach exclusion turns on it.
Quotes, selection and the reasoningWhy this structure, signed by the broker.
Binder and policy checksEvidence the policy matches what was agreed.
Control hits and sign-offsWho approved a placement outside policy, with what note.
stateDiagram-v2 [*] --> Bind Bind --> PostClose: binder checked, signed off PostClose --> PostClose: policy checked against binder PostClose --> Archived: claims period ends Archived --> [*]
sequenceDiagram participant B as Deal broker participant MA as Market agent participant BA as Binder agent participant PL as Practice leader participant DR as Decision record MA-->>B: Possible only, capacity short of ask B->>DR: Tower decision with note BA-->>B: Primary binder, 1 difference B->>DR: Change: accepted with note PL->>DR: Sign-off BA-->>B: Policy matches binder
AgentWhat it preparedWhat it citesWho decides
MarketPossible only; capacity shortAppetite: capacity vs $110MBroker
QuoteSummit lowest-cost among those quoted; neither meets the askComparison engineBroker
BinderOne difference, none highBinder checkBroker
SupervisorSign-off: limit above authorityControl, rosterPractice leader

On the deal desk

The tower conversation starts from the market agent’s stated shortfall, not a hunch.

For IT and architecture

Binder and policy checks share one function; the expected document is the previous binder when a policy follows one.

For practice leaders

Large deals carry the most E&O exposure; this one has every step signed.

Questions we get asked

Does InsightDealDesk model excess layers?

Quotes carry their own limit and retention, and the engine flags a limit below the ask. Structuring the tower is the broker’s decision, recorded with its note.

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