Agent-to-agent procurement negotiation with AI Chief 3.1
A structured agent-to-agent (A2A) negotiation protocol for B2B procurement — signed authority envelopes, JSON offers and cryptographically auditable transcripts that close routine deals without humans.

Procurement is a slow dance of emails, attachments and Slack threads. AI Chief 3.1 compresses that dance into an agent-to-agent protocol. A buyer-side agent and a seller-side agent negotiate price, SLA, payment terms and delivery windows inside a shared, auditable transcript. Humans only step in on exceptions.
How the A2A negotiation protocol works
Each agent carries a signed "authority envelope" — what it can concede, what it must escalate. Offers are structured JSON, not free text, which means no hallucinated terms slip through. Every turn is cryptographically signed and stored, so disputes have a perfect record to fall back on.

The envelope is the whole safety story. An agent that cannot exceed its mandate is a clerk rather than a negotiator, and clerks are far easier to audit.



How we build agents that are allowed to act
Every autonomous step ships with a boundary written before the feature: what it may decide alone, what it must escalate, what it must record. The reel below is the studio where those boundaries get argued out.
Where agent-to-agent negotiation is safe to use
A2A negotiation closes routine, repeat, parameterised deals — catalog items, framework renewals, volume discounts inside pre-agreed bands. We deliberately block it for first-time counterparties, regulated categories and anything above the client-configured threshold. This is not AI lawyers — it is structured clerical work, done quickly.


Pilot results across three enterprises
Across three enterprise pilots, average cycle time on routine procurement dropped from nine days to 41 hours. Human reviewers still touched every deal at sign-off — but the back-and-forth vanished. One client has already moved 60% of their catalog volume onto the agentic track.
More builds from the shelf.
Same team, different problems. Recent cases in adjacent industries — each shipped with the senior people who own outcomes.
Tell us your task
Projects by type grow year over year
MVP, redesign, AI and support — cumulative
The studio profile across key axes
Speed, quality, transparency, engineering
Research, design and build overlap
Parallel streams — not a waterfall

