| What it does | Policy-driven spending controls for AI agents
| Your AI teammate that gets answers, follows up, and keeps people and AI agents moving together
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| Stage | Not given
| Startup
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Free: $0/month (open source, self-hosted). Pro: $24/month with hosted dashboard, 3 agents, 1,000 spend checks/month. Team: $99/month with 10 agents, 10,000 checks/month, team approvals. Business: $299/month with unlimited agents and checks.
| 10 free tasks (no credit card required), then $29/month for 20 tasks (founding price for first 50 teams, held for first 12 months if subscribed by December 31, 2026, then $59/month). Extra tasks $6 each when enabled. The people Emily contacts never pay.
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| Key features | - Policy Engine with YAML configuration for amount limits, merchant allowlists, category blocks, business hours, and duplicate windows
- Duplicate Detection using SQLite to prevent the same purchase twice within a configurable time window
- Human-in-the-Loop approval with Telegram alerts and dashboard queue for purchases exceeding threshold
- MCP-Native integration for OpenClaw, Hermes, and any MCP-compatible agent
- Zero Credential Exposure with no access to cards, tokens, or Stripe credentials
- Local-first architecture with all policy files, logs, and databases stored on your machine
- Dry-run and simulation mode for testing policies before deployment
| - Works via email, Slack, and Discord without setup or inbox access
- Reaches people across companies without requiring them to install anything
- Remembers decisions and catches contradictions when plans change
- Respects privacy and context by default
- Coordinates work between people and AI agents on the same team
- Provides each team member private follow-through from shared messages
- Automatically follows up and waits through out-of-office periods
- Bundles decisions and updates to minimize interruptions
- Lets team members answer questions from collective memory without interrupting busy people
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| What makes it different | - Policy-driven rules that the agent cannot override, unlike prompt-based guardrails
- Zero credential exposure means the gateway never sees payment cards or API keys
- Duplicate detection with SQLite prevents duplicate purchases within a configurable time window
- Native MCP integration works out of the box with OpenClaw, Hermes, Claude Code, and Cursor
| - No setup required; just CC Emily on emails or add her to Slack/Discord
- Works transparently as a teammate with her own name, not as an anonymous automation
- Coordinates people and AI agents across company boundaries without requiring installations
- Keeps context separate by channel, conversation and privacy level automatically
- Remembers what was decided and catches contradictions to prevent miscommunication
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 23 ▲ +1 (up) since last check | 5 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 5 |
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| Citation Flow (Majestic) | 19 | 28 |
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| Referring domains (Majestic) | 12 | 59 |
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ActOnce Spend Gateway
Meetless