How Negotiations.AI works
with your data.
AI can help you ask better questions and structure strategy. But it doesn’t magically know your spend, supplier history, or benchmarks unless you provide evidence or connect systems. We ingest procurement sources like contracts, RFPs, cost models, and spend data, then use game theory + AI to run off-the-shelf analytics and generate negotiation strategies grounded in reality and negotiation theory.
The inputs that drive quality
If you want nuance, provide constraints and evidence (contracts, RFPs, cost models, spend exports). If you don’t have them yet, use AI to generate the data request list.
Context
What’s changing, when it renews, and what “good” looks like (price, term, scope, SLAs).
- Current terms
- Renewal date / deadline
- Target / acceptable / walk-away
Evidence
We can ingest the artifacts and numbers your team already trusts.
- Contracts, order forms, and redlines
- RFPs, proposals, quotes, and benchmarks
- Cost models, usage, and spend exports (PO/invoice)
Constraints & approvals
Capture non-negotiables and approval gates so outputs are realistic.
- Legal clauses and risk flags
- Finance constraints (cash flow, prepay rules)
- Security requirements and approvers
Common procurement questions (and what to provide)
This is the “prep gap” in plain terms: the answer is usually in your systems and documents. AI helps you assemble it into a decision-ready brief—and pressure-test options with game-theory scenarios.
| Question | Best source | How AI helps |
|---|---|---|
| What’s our supplier spend, volume, and leverage? | Your PO/invoice history, spend cube, supplier master, renewal calendar. | Summarize patterns, highlight concentration/renewal risk, and propose leverage questions and trade packages. |
| What does the market say about price and terms? | Benchmarks you trust, competing quotes, cost models/should-cost, analyst notes, peer comps, prior deals. | Turn evidence into assumptions + ranges, draft counter-arguments, and flag missing benchmarks to request. |
| What does the supplier actually want? | Meeting notes, email threads, call transcripts, stakeholder context. | Extract signals and hypotheses, then generate the next-best questions to validate intent and constraints. |
| Do they have a cash-flow issue (or is it a tactic)? | Payment terms history, finance constraints, alternatives (prepay/discount), supplier signals. | Structure options (Net terms vs discount vs scope), draft talk tracks, and pressure-test concessions. |
| Are we working with them across other categories? | Supplier master + contract inventory + category mapping (enterprise integrations help here). | Surface cross-category context, bundling opportunities, and stakeholder alignment questions. |
If you don’t have the data yet
Use AI to generate a targeted prep checklist: what to request from Finance, Legal, IT/Security, and the supplier—plus the exact questions to ask.
Integrations (as needed)
Enterprise deployments can align the app with your CRM/SRM and procurement systems so spend, contract inventory, and supplier context are easier to reference during prep.
Security question?
If your team needs to understand storage, processing, and retention, start with the Security overview.