Your customers now send personal AI agents to contact support, and an agent will reword a request until the answer changes. Agent Handshake gives it the same answer every time. Fini decides from intent, live account data and your rules, and checks every reply.
The approval line is the part I'm most curious about — anything that moves money can go to a person to approve, and you choose which actions need approval. How do you draw that line for the gray-area actions that don't move money directly, like changing a plan or issuing account credit? Is that a fixed list, or does repeated rewording from the same agent push it toward escalation?
Hi Product Hunt, I'm Deepak, co-founder of Fini. We built Agent Handshake because of something we started seeing in support queues.
Customers have started sending personal AI agents to contact support for them. Assistants like Muse and Dots can already do it. An agent is patient: it will reword the same refund request again and again until a different answer comes back. If that works, the customer who wrote in once got a worse deal than the one who sent an agent.
Agent Handshake is the part of Fini that handles these agents. The same request gets the same answer, whoever is asking and however many times they ask.
1. Same request, same decision. Fini decides from the customer's intent, the live account data and the rules you wrote, not from the wording. 2. Every reply is checked before it is sent. Guardrails check banned terms, confidential details, allowed links and your plain-language rules. A reply that fails is rewritten or handed to your team. 3. It knows when to stop. Fini escalates to your team, or sends the agent back to its owner, when a request needs a human. Anything that moves money can go to a person to approve.
Likely personal agents are tagged in the Inbox, and you choose which actions need approval.
It is built to serve agents, not block them. Agent Handshake is open to everyone: any team running an AI agent for support, ours or not. On Fini it is switched on per account.
Here's a test you can run on your own support: write one refund request twenty different ways, send them all, and check whether the decision moved. I'd love to hear what you find, and which agent you expect to see in your queue first.
I'd want the answer to change when the account facts change. Keeping that separate from someone just rewording the same request seems like the important distinction here.
customers sending their own agents to support and rewording until the answer flips is a real thing now, hadn't thougth about it from the support side
can Fini tell a personal agent apart from a human who just asks the same thing 5 times??? or does it treat both the same and stick to the policy???
About Agent Handshake by Fini on Product Hunt
“Agent-to-agent customer support that holds its answer”
Agent Handshake by Fini launched on Product Hunt on October 28th, 2026 and earned 75 upvotes and 10 comments, placing #24 on the daily leaderboard. Your customers now send personal AI agents to contact support, and an agent will reword a request until the answer changes. Agent Handshake gives it the same answer every time. Fini decides from intent, live account data and your rules, and checks every reply.
Agent Handshake by Fini was featured in Customer Success (6.3k followers), Customer Communication (12.8k followers) and Artificial Intelligence (483.1k followers) on Product Hunt. Together, these topics include over 143.3k products, making this a competitive space to launch in.
Who hunted Agent Handshake by Fini?
Agent Handshake by Fini was hunted by Ankit Kumar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Ankit Kumar
The approval line is the part I'm most curious about — anything that moves money can go to a person to approve, and you choose which actions need approval. How do you draw that line for the gray-area actions that don't move money directly, like changing a plan or issuing account credit? Is that a fixed list, or does repeated rewording from the same agent push it toward escalation?