Launching today

MOTA

Launching today

AI agents that follow your rules, not their imagination.

14 followers

AI agents that follow your rules, not their imagination.

14 followers

MOTA is a governed execution runtime for high-consequence workflows. Instead of letting LLMs improvise, MOTA separates AI planning from deterministic execution. It translates user intent into a strict execution graph to enforce business policies, retrieve live data, and route tasks conditionally. With human-in-the-loop approval gates, durable execution states, and transparent audit records, MOTA guarantees that sensitive customer support actions are safe, predictable, and fully verifiable.

Launch tags:Customer Success•Developer Tools•Artificial Intelligence

Launch Team

Framer AI AgentsDesign and publish professional sites with AI

Promoted

Maker

📌

Hi Product Hunt! We built MOTA after running into a practical problem with AI agents: they’re impressive at understanding requests, but much harder to trust with sensitive business actions. A support agent can draft a response. But should it be allowed to issue a $7,200 refund, modify an account, or apply an SLA exception based only on an LLM’s judgment? We didn’t think so. MOTA separates AI planning from governed execution. It turns a request into an explicit workflow graph, retrieves live system data, evaluates business rules, follows conditional paths, and pauses for human approval when policy requires it. For example: when a refund exceeds $5,000, MOTA does not rely on the model to “remember” the threshold. The runtime evaluates policy directly and stops at an approval gate before the refund action can proceed. In the demo, try: - A refund below the approval threshold - A refund above $5,000 - A request outside the 90-day refund window - Approving vs rejecting an escalated request We’d especially value feedback on: - What sensitive workflows have you avoided automating because AI execution felt too unpredictable? - How are you handling approvals and policy enforcement around AI-driven actions today? Thanks for checking out MOTA.

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2d ago

Forum Threads

p/mota

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8h ago

Really proud of the MOTA launch on Product Hunt.</strong></p>

The industry energy around AI agents is real. But so are the concerns.
AI agents sound confident right up until they make a mistake in a real world workflow. eg. Processing a refund. Approving access. Onboarding a customer.

We need AI agents to be reliable everytime.
That is why we built MOTA. Help LLMs be Deterministic. Auditable. Provably right.

p/mota

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8h ago

MOTA is live on Product Hunt!

After 2+ years of building enterprise AI agents, we built MOTA to tackle the hard part: reliable execution of business-critical workflows.

Policy enforcement. Human approvals. Durable execution. Auditability.

p/mota

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21h ago

After 2+ years building enterprise AI agents, here's what keeps breaking in production

We've been building enterprise AI agents for a little over two years now, primarily around CRM and business workflow automation.

One thing we've learned is that the biggest challenge isn't getting an LLM to answer questions.

It's getting an AI agent to reliably execute an end-to-end business process.

For example, consider a customer refund workflow.

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