🚀 Smart365Guide — The trust layer between AI and software

Hey Product Hunt! I'm Atul, cofounder of Smart365Guide — and we've been quietly building something we think is missing from the AI stack.

The problem: Every AI agent can think, but giving it a safe, verified way to act inside real software is still unsolved. Agents hallucinate steps, bypass permissions, and leave no audit trail. Enterprises won't touch it.

What we built: Smart365 is a 6-layer trust architecture that sits between an AI agent's intent and your software's actions:

1. Intent — understand what the user actually asked for

2. Capability Registry — discover what the software can actually do

3. Guardian — check identity, consent, scopes, and business policy before any action runs

4. Execution — run the approved workflow via MCP tools or REST APIs

5. Verification — read state back from the provider and compare postconditions

6. Evidence — produce a full audit trail + TCVC (Trusted Computer-Verified Claim)

Two ways in:

- Smart365 Inside → embed AI guidance directly in your product (explain screens, guide next steps, run approved actions without leaving the app)

- Smart365 Network → publish your workflows once; let any authorized agent discover and execute them through your rules

Why it matters right now: With agentic AI going mainstream, the question is no longer "can AI do this?" — it's "can I trust that it did it right?" We answer that with proof, not just logs.

Try it: https://smart365guide.com

Would love to hear: How are you handling authorization and verification in your AI agent workflows? What's breaking?