The orchestration layer that grounds AI agents in your product backlog, team standards, and codebase knowledge graph — built for engineering teams who need rigour, not magic boxes.
Grounded Backlog, Skills Governance, and Knowledge Graph — the complete orchestration stack for engineering teams using AI agents.
Your epics, features, and tasks with acceptance criteria — AI agents work against your actual product backlog, not hallucinated requirements. Every session ties back to a business outcome, and nothing ships without passing human-defined gates.
Internal enterprise skills that encode your team's conventions, architecture decisions, and coding standards. Every AI agent follows the same playbooks — not ad-hoc prompts scattered across individual setups.
Knowledge graph and ontology that gives AI agents structural understanding of your code — relationships between files, modules, and APIs. Fewer tokens wasted on context gathering, better results from every interaction.
One CLI command. Zero config files. Full orchestration in minutes.
Run one command to connect Claude Code to aictrl.dev via the Model Context Protocol.
Claude Code opens your browser for Google sign-in. No API keys, no tokens to manage.
Your knowledge graph provides context, skills encode your standards, and every session tracks against your backlog.
Six capabilities across three pillars that turn AI chaos into engineering rigour.
Define what "done" means. Features aren't complete until criteria are verified with evidence.
Screenshots, test outputs, commit hashes — all captured automatically as proof of agent work.
Require human sign-off for sensitive operations. Never deploy without explicit review.
Ontology-driven structural understanding of your codebase — relationships between files, modules, and APIs.
Internal enterprise playbooks that encode your team's conventions. Centrally managed, not ad-hoc prompts.
Session metrics, team performance, and trend analysis. Data-driven engineering decisions.
We build workflow orchestration, not magic boxes.
| Lovable / Bolt | Cursor | GitHub Copilot | aictrl.dev | |
|---|---|---|---|---|
| Target Audience | Non-technical | Developers | Developers | Engineering Teams |
| Verification | None | None | None | Acceptance Criteria |
| Audit Trail | No | No | Logs only | Full Evidence |
| Long Sessions | No | Single Context | Single Context | Checkpoints |
| Human Gates | No | Manual | No | Built-in |
| Team Dashboard | No | No | Basic | Real-time |
| Knowledge Graph | No | No | No | Ontology-backed |
| Skills Governance | No | Rules files | No | Enterprise-managed |
Whether you lead the org, manage the team, or write the code — aictrl has your back.
Your board asks about AI ROI. Your compliance team worries about ungoverned agents. aictrl gives you the evidence to answer both — every AI session tied to a business outcome, with full governance and cost visibility.
Designed for
Prove AI ROI to the board with real productivity data and the governance controls leadership demands.
You manage 5-50 engineers using AI agents daily. You need to know what's shipping, what's stuck, and whether standards are being met — without reading every PR.
Designed for
Stop worrying about what AI agents are doing unsupervised. Check the dashboard — if criteria are green, move on.
You're already using Claude Code. aictrl makes your AI sessions smarter — the knowledge graph finds the right files, skills give you proven patterns, and your progress persists across context resets.
Designed for
Add aictrl in 30 seconds and get full codebase context plus your team's best patterns in every Claude session.
Quick answers to common questions about aictrl.dev.
claude mcp add --transport http aictrl "https://app.aictrl.dev/mcp"), sign in with Google, and Claude automatically receives codebase context from the knowledge graph, follows your team's skills, and tracks sessions against your backlog. No manual configuration needed — just one CLI command to connect.
Three pillars. One platform. Start shipping your roadmap.
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