AI negotiation agents just entered the chat and they are already closing deals faster than most procurement teams ever could. Vertice launched Ana, an autonomous negotiation agent, on September 8 2026 and the numbers are striking. Ana has already negotiated 500 million dollars in software spend across more than 4000 negotiations, hitting an average 18 percent savings and cutting renewal cycles by 15 days. That is not a prototype or a beta test. That is production scale AI doing real work with real money on the line.
How Ana Actually Works Behind the Scenes
The agent is trained on Vertice’s procurement intelligence dataset, which covers 250000 negotiated contracts and over 75 billion dollars in global indirect spend across 32000 SaaS vendors. That is the largest procurement dataset of its kind in the world. Ana runs unlimited custom negotiations simultaneously, building scenario specific strategies and selecting the most impactful levers for each situation. It models likely outcomes at every step using Monte Carlo simulations across thousands of possible scenarios.
You can let it run fully autonomous or use it as a copilot where your team reviews each round before anything goes out the door. What makes this different from basic contract review tools is the depth of negotiation logic baked into every single exchange. Ana learns your vendor history, understands your company’s tone, and drafts every interaction in your own voice. It tracks every vendor exchange and maintains a complete audit trail so compliance teams can review exactly what happened and why.
When procurement teams set priorities like price, payment terms, or contract length, the agent adjusts its approach mid deal based on what the data suggests will work best for that specific vendor. The real power is in the context. Every negotiation is anchored against Vertice’s massive benchmarking dataset, including peer comparisons from thousands of similar deals.
The Real Cost of Not Automating Software Negotiation
Gartner predicts that by 2028, 90 percent of B2B buying will be intermediated by AI agents. The negotiation piece of that prediction is where companies stand to save the most money. Most procurement teams focus their deepest commercial rigor on their biggest deals and leave smaller contracts completely untouched. That tradeoff costs businesses millions every year in overpayments that nobody ever catches.
Think about your own tech stack for a moment. How many software renewals slip through without any pushback? How many vendor contracts get signed at list price because nobody had the bandwidth to negotiate? Ana handles the long tail of spend that procurement teams simply cannot reach manually. That includes mid tier tools, SaaS subscriptions, and vendor renewals that typically get rubber stamped year after year.
The math is hard to ignore. If you have 200 software subscriptions and even a quarter of them are priced above market rate, you are probably overpaying by six figures annually. An AI agent running parallel negotiations on every single one of those contracts changes the equation entirely and puts money back where it belongs.
Globality and the Autonomous Sourcing Race
Vertice is not alone in this space. Globality launched Glo 2.0, a fully autonomous sourcing platform, on the same day. Their platform runs entire sourcing events from intake to award, including direct supplier negotiations on price, quality, delivery, service, and risk. Companies like BT, Tesco, Swiss Re, and Fidelity are already using it with reported cycle time reductions of 60 to 90 percent and annual cost savings between 10 and 20 percent.
Negotiations.AI and negotiagent are also building AI negotiation tools, though they take different approaches entirely. Negotiations.AI focuses heavily on preparation and simulation before live meetings, helping teams rehearse likely scenarios and practice tough conversations. Negotiagent trains on your historical contract data to recommend strategic redlines that move deals closer to your acceptable range. The common thread across all of these platforms is unmistakable. AI negotiation is not theoretical anymore. It is shipping real products with real customer results.
What You Should Do Right Now
Start by auditing your software spend. Most companies have absolutely no idea how many vendor contracts they are paying above market rates on. Even a basic analysis of your top 20 vendor renewals could reveal six figures in savings hiding in plain sight. If you are not ready for a fully autonomous agent handling everything end to end, a copilot approach lets your team maintain control while gaining serious data backed influence in every conversation with vendors.
The bigger question is whether your procurement function can afford to negotiate manually when competitors are running thousands of simultaneous negotiations with AI. The answer is probably not. Companies that adopt these tools early will lock in structural cost advantages that compound every single year. Waiting until 2028 when AI intermediation becomes the norm means you are already behind. The negotiation function is being redefined right now and the early movers will own the cost advantage for years to come.
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