AI Teams for Complex Spend Management

San Francisco
Joined April 2026
We saved $260M in cash for cos. like Meta, Unilever, and J&J by finding baseless charges across 19M+ invoices. Now, we've raised $75M to extend our guarantee: if we can't find $500K in overpaid invoices, we'll pay you $10K. Book a demo: hubs.li/Q04qP6lp0 ------------------------ How it works ⬇️ PROBLEM: A Fortune 500 gets a million invoices a year. Most of them are for a couple hundred dollars. Checking one properly means opening the contract, pulling the rate card, matching the PO, and hunting down the bill of lading that proves the shipment moved the way the carrier says it did. All of that work to defend $200. So nobody does it. The pile goes to a human. The human audits only a sample (12%) and pays the rest (88%) blindly. That's where the money goes. At a pharma co, we found an uncontracted surcharge billed across global carriers for two years. $26M nobody questioned, because every individual line looked ordinary. Each surcharge is small enough that escalating it costs more than paying it. And there are a million of them. ------------------------ SOLUTION: Freehand’s AI reads everything: every line of every invoice, against every contract, rate card, transaction data, bill of lading, warehouse record, time sheet, and email exchange between you and the supplier. It also analyses every past invoice, and transaction data with that supplier, ever. It holds all of this knowledge in a Context Graph. When an invoice arrives, it knows what you should pay, what actually shipped, if the service was delivered or not, what the SLA was, and what this supplier billed you for the same service last quarter. Then it proactively: > writes up the dispute with the evidence attached > emails the supplier > calls her when the email goes quiet > Slacks your purchases team for more information > Follows up until the invoice comes back corrected. > Approves the correct invoice > Pays it across different currencies and tax structures > And accrues the right amount to your general ledger Freehand’s will do all of that to recover $20, because it is doing it across all millions of invoices at the same time, saving 5-10% of company spend with 100% SOX compliance and auditability. ------------------------- 🚨 RT + reply "FREEHAND" and we'll send you the AI upskilling guide that's already helped 750+ displaced workers move into more secure, higher-paying AI-native roles through Freehand's Transition Bootcamp.
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Battery GP Dharmesh Thakker went on @BloombergTV yesterday to discuss where we see the biggest opportunities in enterprise AI, open source vs frontier models and our recent investment in @freehand_ai: "I'm a big advocate of open source. It wasn't until Linux came to the forefront that server computing went mainstream. Open-source foundation companies like Spark and MongoDB are behind many of the software companies in the world right now." "[Open source models] give you choice, and there's no reason why a basic task should cost 5 to 10 times more with OpenAI or Anthropic when you can do the same job with Llama, or perhaps DeepSeek or Kimi. That's just the law of economics, and that makes sense." "For the 80% of enterprise workflows that are relatively mundane, you can use open source in a way that makes economic sense to the end customer, and that in turn should help the AI wave grow even further." Dharmesh cited @freehand_ai as an example of this multi-model approach at work in the enterprise: "Fortune 500 companies [use] Freehand software for accounts payable automation, and we use a combination of frontier and open source models in a way that drives the best economic value for a company like Meta." Thanks to @daniburgz for having him!
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