Agentic Commerce
On demand
Bounded Offer Negotiation Agent
Keep concessions within limits.
Suggest a response to a buyer's AI assistant when it asks for a discount or different terms.
Buyer requests 20% off a £12,000 annual offer.
- Bound the request to Q-20 v2.
What it does
Prepare a counteroffer your business can honour.
Suggest a response to a buyer's AI assistant when it asks for a discount or different terms. Built for merchants exchanging structured counteroffers with buyer agents.
Check the current offer
Provide the current offer, buyer's request and the concessions your team allows. Earlier concessions and buyer priorities can help find a permitted alternative.
Find permitted alternatives
Check the request against your limits and suggest a permitted alternative or a manager review.
Present a bounded response
Get a counteroffer draft and a clear record of the concessions it includes.
How it works
Suggest a response to a buyer's AI assistant when it asks for a discount or different terms. Built for merchants exchanging structured counteroffers with buyer agents.
- Approved documents and context
- Current quote and prior concession ledger Approved negotiation envelope and non-negotiable terms Optional: the full offer revision and concession history for this negotiation, to calculate the cumulative effect of requested changes. Optional: buyer-stated priorities and approved alternative packages, to suggest trade-offs inside the allowed commercial limits.
- Respond without reinventing the offer
- Review a counteroffer draft that uses permitted discounts and terms, reducing manual negotiation preparation.
- Keep control of concessions
- See what the draft gives away and which requests need the commercial owner's decision.
- Salesforce · Read quote and concession history (read)
- Bind the negotiation to one current quote.
- Notion · Read approved concession policy (read)
- Load price, prepayment and term limits.
- Salesforce · Draft scoped counteroffer (draft)
- Record a versioned alternative without issuing acceptance.
- Human review and permissions
- Commercial owner approves permitted concessions; legal owner reviews liability changes. If something fails, pause the affected request and check what actually happened. Correct the source information, repeat the checks and renew approval if the proposed action changed. Keep a record of the issue.
01Gather the context
Bring together the relevant information from Salesforce, Notion.
02Check what matters
Check the request against your limits and suggest a permitted alternative or a manager review.
03Prepare the result
Get a counteroffer draft and a clear record of the concessions it includes. What has been checked, what still needs a decision and whether any requested action actually completed. Keep private internal notes out of the buyer's response.
04Review proposed changes
Commercial owner approves permitted concessions; legal owner reviews liability changes. If something fails, pause the affected request and check what actually happened. Correct the source information, repeat the checks and renew approval if the proposed action changed. Keep a record of the issue.
Integrations
CRM
Salesforce
HubSpot
Knowledge
Notion
Confluence
Choose the platforms your team already uses—you don’t need every example shown. Confirm the required features and configure access during implementation.
What you get
Prepare counteroffers within your agreed commercial limits, with concessions clear for the owner reviewing the deal.
- Respond without reinventing the offer
- Review a counteroffer draft that uses permitted discounts and terms, reducing manual negotiation preparation.
- Keep control of concessions
- See what the draft gives away and which requests need the commercial owner's decision.
More for agentic commerce teams
Agent-Readable Offer Publisher
Turn your product and service information into clear offer details that buyers' AI assistants can read.
Source-Backed Buyer Enquiry
Answer a buyer's AI assistant using your product details and policies, with links to the relevant information.
Buyer-Agent Selection Test Lab
Test whether an AI assistant can understand your offer and match it to a buyer's needs.
Start with a blueprint. Build it around your business.
We’ll adapt it to your workflows, connect your systems and build an agent your team can put to work.
30 minutes. One bottleneck. Leave with a clear system concept.