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