Key points
- Show finance what a three-year term with a 5% cap does to total cost before you put it on the table.
From the vendor’s first email to a signed, better deal.
The workspace remembers everything; the AI does the drafting and the reading.
War room
The deal in one place
Per-deal workspace: mandate, tactics, a concession ledger, commitments, a counter queue, the landing zone, and post-mortems. Nothing falls out of the thread between calls.
Email ghost-writer
Forward it, get the counter
Send a vendor email to a private address. The AI classifies the tactic, logs the concession, and drafts the counter-reply in your voice with full thread memory. You approve and send.
Live call copilot
An analyst in your ear
A real-time whisper rail during the vendor call: live transcript, grounded prompts, and the facts you need surfaced at the moment you need them, without an analyst on the payroll.
Simulator
See the number before you propose it
Explore alternative terms and watch the financial impact of each. Show finance what a three-year term with a 5% cap does to total cost before you put it on the table.
The AI underneath
It negotiates from your playbook, not generic advice.
Every draft and every prompt is grounded in your stored benchmarks, your contract history, and the pre-approved wording in your clause library. The AI classifies what the vendor is doing, remembers what they have already conceded, and writes toward your position, not a textbook one.
Tactic classification
It names the play
The ghost-writer reads the vendor email, labels the tactic in motion, and logs any concession into the ledger so the pattern across a thread is visible, not just the last message.
Voice and memory
Drafts that sound like you
Counter-replies are written in your voice with the full thread in context, referencing your benchmark position and your clause library’s language, ready to approve and send.
Agent Negotiation Protocol
An agent can run the first round
An open protocol and API let your own AI agent negotiate against a vendor agent, with a hash-chain ledger of every move handed back to you as a signed record.
Models Claude Opus 5, every job from flagship deliverables to interactive chat and bulk triage Voyage AI + pgvector, semantic search indexed nightly
How it's built
Grounded, logged, and yours to steer.
The negotiation surface is built on the same buyer-side data and controls as the rest of the platform.
1
The clause library is the source of truth
Your codified positions, pre-approved wording, and walkaway per clause drive every AI draft, so the counter argues your standard, not a generic best practice.
2
Email-in rails, signature-verified
Each org gets private addresses that are signature-verified, malware-scanned, and deduplicated. Forwarding a vendor email is the whole integration; no connector to install.
3
A concession ledger that survives the deal
Every offer and promise is captured in one thread with a post-mortem, so the next cycle starts from what really happened, not memory.
4
Buying blocs, anonymous until both sides reveal
Opt-in vendor blocs pool leverage with peers on the same vendor under one shared term sheet and window, anonymous until both sides choose to reveal, so you never expose your own numbers.
5
A hash-chain record of agent moves
When an agent runs a round under the Agent Negotiation Protocol, every move is written to a tamper-evident ledger you can audit and hand to legal.
Forward the vendor email; the counter comes back in your voice, grounded in your position.
Buying blocs: pool leverage with peers, anonymous until both sides reveal.
Time back
The counter is drafted before your coffee cools.
Reading the tactic, checking the benchmark, and writing a measured reply used to eat an afternoon per exchange. Now you forward the email and approve a draft that already cites your position.
Minutes
from vendor email to an approved counter
Every call
covered by the whisper rail, no analyst hired
One
thread the whole team reads
Why nothing else does this
A negotiation system, not a chatbot with a prompt.
Generic AI writing tools have no memory of the deal and no idea what fair looks like. This does.
General AI assistants
No memory, no benchmark
A generic model will write a polite email, but it does not know what the vendor conceded last week or what the market clears at. Every draft here is grounded in the ledger and the cohort.
Negotiation consultants
Not in the room at 9pm
A consultant costs a fee and keeps office hours. The copilot is in every call and the ghost-writer answers every email, at the moment the vendor gets difficult.
CLM and e-signature tools
They file the deal, they don’t win it
Contract lifecycle tools manage the document after the terms are set. This platform is built to change the terms before they harden.
What it is worth
Business value, and the operational value under it.
One line for the board paper, and the day to day the team actually feels.
Business value
- Better landing zones because every counter is anchored to a real benchmark and your own pre-approved position.
- Institutional memory that survives turnover: the concession history and post-mortems outlast the person who ran the deal.
- Pooled leverage through buying blocs without ever exposing your numbers.
- A signed, auditable record when an agent runs a round, defensible to legal and the board.
Operational value
- A drafted counter in minutes instead of an afternoon per exchange.
- An analyst-grade whisper rail on every call without adding headcount.
- One thread the whole deal team reads, so no promise or concession gets lost between people.
- Scenario math on demand, so you never propose a term before you have priced it.
Explore next
Benchmarking →Clause library & rider →Contract Agent →
Walk into the call with the counter already written.
The war room, the ghost-writer, and the copilot, on your paper.