Impossible terms
The assistant agrees to pricing, volume, or delivery terms the business cannot honor.
Solutions
Negotiation agents that cannot close impossible deals.
Let AI propose offers and pricing moves, but only let authorized, policy-compliant decisions become outbound actions.
The failure mode
The model makes an obviously impossible offer, bypasses pricing policy, or commits to terms the business cannot honor.
Revenue operations, procurement teams, agencies, and negotiation-heavy workflows. This is where buyer trust is won or lost: not in whether the model sounds smart, but in whether the system can stop the wrong action from becoming real.
Authority drift
A model or agent starts acting outside the approval scope you meant it to stay within.
Embarrassing outbound actions
The wrong offer reaches the customer first and the team is left cleaning up reputational damage.
Containment
JacqOS keeps negotiation output in proposal space until explicit policy and authority checks ratify the decision into a real customer-facing action.
The job here is structural containment, not best-effort prompting. JacqOS keeps AI output inside the right semantic relay until the ontology ratifies it.
Proposal before commitment
The model can draft or negotiate, but no message or offer becomes real until policy and authority checks pass.
Policy facts stay inspectable
Discount floors, approval lanes, and contract rules remain visible in the derived model for review.
Blocked offers become selling proof
Bad offers create receipts the team can inspect and use to prove the boundary works.
What operators review
Review the boundary, not the generated code.
- Blocked proposals that exceeded discount policy or authority limits.
- Fixtures that model outrageous offers, edge-case negotiations, and manager escalation paths.
- Replayable evidence for outbound pricing commitments and the approvals that unlocked them.
Rollout path
How teams usually adopt this pattern.
01
Begin with drafted offers
Start by containing outbound offer generation and requiring explicit manager acceptance.
02
Encode pricing policy before volume
Make discount floors, approval bands, and exception logic explicit before raising throughput.
03
Expand to adjacent negotiations
Once the boundary is trusted, widen into procurement or contract workflows that share the same authority model.
Proof surfaces
Show the buyer something concrete.
These are the proof surfaces that make this solution page credible: example walkthroughs, trust content, and the docs entry points behind both.
Proof surface Chevy Offer Containment
Absurd offer proposals are blocked before anything customer-visible is sent.
Explore → Proof surface For AgenciesSee how service teams can package the proof story for client work.
Explore → Proof surface TrustRead the guarantees and limits behind outbound decision containment.
Explore → Related example Chevy Offer ContainmentLLM decision containment — absurd offers never reach a customer
Explore →Next step
Take sales & procurement from pitch to proof.
Inspect the primary example, read the trust surface behind it, then decide whether the operating model fits the workflow you want to automate.