Now in private beta

AI agents that start with outcomes, not prompts.

Define what success looks like. AgentiLoop handles the rest — exploring your tools, building the right agents, testing them, and deploying with confidence.

Request Access See how it works ↓
🎯
Outcomes
🔍
Explore
🛠
Build
🧪
Test
🚀
Deploy
01 Outcomes

Start with what matters to your business.

Before writing a single prompt, define your use cases and key results. AgentiLoop tracks every agent action back to a measurable outcome — so you always know what's working and what isn't.

Outcomes Dashboard
📞
Reduce support ticket volume
KR: Deflection rate > 40%
47%
📊
Accelerate sprint planning
KR: Planning time < 30 min
22m
🔄
Automate weekly reporting
KR: 100% auto-generated
72%
02 Explore

Discover your integrations and context.

AgentiLoop connects to the tools your team already uses and synthesises context from meetings, documents, and messages — so your agents understand your organisation, not just your prompt.

Connected Integrations
💬
Slack
Messages, threads, reactions
🟣
Microsoft Teams
Channels, meetings, chat
🔵
Linear
Issues, projects, cycles
📋
Jira
Tickets, worklogs, boards
📅
Microsoft Graph
Calendar, email, contacts
🔌
MCP Servers
Extensible tool protocol
03 Build

Compose agents from reusable skills.

Build agents visually or in code. Attach versioned skills from a shared library, define system prompts, set guardrails, and wire up multi-agent pipelines — all in one workspace.

agent.yaml
name: "Sprint Planning Agent"
model: "claude-sonnet-4-6"
temperature: 0.3

# Attach reusable skills
skills:
  - "jira-triage" # v2.1
  - "standup-summary" # v1.4
  - "capacity-planner" # v3.0

# Safety first
guardrails:
  - require_approval: "destructive_actions"
  - max_spend: $5.00

escalation:
  on_failure: "notify #eng-leads"
  on_safety_flag: "pause + human review"
04 Test

CI/CD for your AI agents.

Run automated test suites against your agents before they touch production. A/B test skill variations, catch regressions, and validate behaviour with real assertions — not vibes.

Test Suite — Sprint Planning Agent
✓
Generates valid sprint backlog
1.2s
✓
Respects capacity constraints
0.8s
✓
Escalates blocked tickets correctly
2.1s
✗
Handles empty Jira board gracefully
0.3s
✓
Stays within $5 spend guardrail
1.5s
8 passed · 1 failed · 1 skipped Total: 6.4s
05 Deploy

Ship agents with approval workflows.

Deploy agents to production with quorum-based approvals, real-time monitoring, and automatic cost tracking. Every action is audited, every token is accounted for.

Deployment — Sprint Planning Agent v3.1
✓
Tests passed (8/9, 1 skipped)
2 minutes ago
✓
Approved by Sarah Chen, James Ko
Quorum met (2/2) · 1 minute ago
⟳
Rolling out to production
Deploying to 3 trigger schedules…
Monitoring (24h stabilisation window)
Cost anomaly detection active
180+
Built-in tools
80+
Data models
5
Context synthesis modes
∞
MCP extensions

Works where your team works.

Deep, native integrations — not just webhooks.

💬
Slack
🟣
Teams
🔵
Linear
📋
Jira
💡
Productboard
📧
Microsoft Graph
🔌
MCP Protocol
⚡
Webhooks

Start with outcomes.
Ship agents that deliver.

AgentiLoop is the agent platform for teams that measure results, not token counts. Request early access and we'll be in touch.

  • ✓ No credit card required
  • ✓ Guided onboarding with our team
  • ✓ Enterprise-grade security from day one