Agentic Commerce
On demand
Source-Backed Buyer Enquiry Agent
Give buyer agents verified answers.
Answer a buyer's AI assistant using your product details and policies, with links to the relevant information.
Answer the buyer agent's six questions about Atlas Team.
- Mapped six question IDs to approved public evidence.
What it does
Connect each buyer question to current product information.
Answer a buyer's AI assistant using your product details and policies, with links to the relevant information. Built for merchants fielding technical and commercial enquiries from buyer agents.
Find the relevant evidence
Provide the buyer's questions and the information you are allowed to share. Technical reference material and resolved questions can support more precise answers.
Answer with clear sources
Answer each question using current sources and identify anything that needs your team's help.
Resolve the missing details
Get a clear response draft with source links and unanswered questions.
How it works
Answer a buyer's AI assistant using your product details and policies, with links to the relevant information. Built for merchants fielding technical and commercial enquiries from buyer agents.
- Approved documents and context
- Approved public product specification and policy library Account-scoped disclosure rules and private contract classifications Optional: current technical manuals, release notes and approved test reports, to answer detailed product questions with exact references. Optional: reviewed answers to similar enquiries, to locate relevant evidence and known limitations quickly.
- Reduce time answering product questions
- Review a response to each buyer question with links to the relevant product or policy information.
- Keep uncertain answers with your team
- Identify unknowns and restricted information that need a person's decision before the reply is used.
- Zendesk · Read authenticated buyer enquiry (read)
- Retrieve the request and its verified account association.
- Contentful · Read approved public product facts (read)
- Resolve current shareable features and limits.
- Notion · Read policy evidence with disclosure labels (read)
- Retrieve only policy records accessible to the requesting audience.
- Zendesk · Draft cited response (draft)
- Prepare a reviewable response; do not automatically send.
- Human review and permissions
- Product owner resolves conflicting claims; account owner approves disclosure of nonpublic material. 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 Zendesk, Contentful, Notion.
02Check what matters
Answer each question using current sources and identify anything that needs your team's help.
03Prepare the result
Get a clear response draft with source links and unanswered questions. 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
Product owner resolves conflicting claims; account owner approves disclosure of nonpublic material. 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
Customer support
Zendesk
Intercom
Content management
Contentful
WordPress
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 clearer answers to buyer-agent enquiries with less manual research and a source behind each supported answer.
- Reduce time answering product questions
- Review a response to each buyer question with links to the relevant product or policy information.
- Keep uncertain answers with your team
- Identify unknowns and restricted information that need a person's decision before the reply is used.
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.
Buyer-Agent Selection Test Lab
Test whether an AI assistant can understand your offer and match it to a buyer's needs.
Policy-Constrained Quote
Prepare an itemised quote for a buyer's AI assistant using your prices and agreed discount rules.
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.