Case Study
Context
Large companies routinely leave money on the table on tail-end spend — the long tail of low-volume purchases where negotiating each deal by hand is not worth the time, so buyers simply accept the first offer. Negotia automates exactly those negotiations. A purchaser sources suppliers from a knowledge graph that captures material groups, industry, and capabilities so filtering and comparison are easy, sets concrete targets like quantities, prices, and deadlines, and picks negotiation tactics from a shared, community-built strategy library. The system then drafts the negotiation emails and the accompanying contracts for many suppliers at once. It is neuro-symbolic by design: the symbolic side holds the facts, strategies, and supplier context while the language model drafts the wording, which keeps the content grounded and reduces hallucination. The purchaser stays in the loop at every step, editing by hand or through chat before anything is sent. I built it so routine negotiations run automatically while people keep their attention for the strategic deals — and a person stays accountable for every contract. Purchasing and negotiation experts rated the AI-drafted emails and contracts as high quality, especially correct and appropriately cooperative in tone, and the people who used it found it easy to learn and signaled strong intent to adopt it. By turning negotiations that were previously uneconomical into a scalable, parallel process, Negotia opens up savings on spend that most organizations never get to.
Screens from the shipped product. Tap to expand.
Next project
If you need support from discovery to implementation, I can help shape the product and ship it with your team.