Your engineering process was never designed for AI agents.
Kanso is the engineering operating system for AI-first software teams. Connect your backlog, repos, coding agents, CI, approvals, and delivery intelligence into one always-on software factory.
Built for teams already using Cursor, Claude Code, Codex, Copilot, Devin, Replit, Jules, and OpenHands.
Command Center
Last 7 days
Agent runs
312
PRs merged
52
High-risk blocked
14
Capacity unlocked
£68k
Weekly AI-assisted PR volume
Risk distribution
Agents can write code. Your company still needs judgment, ownership, risk, and memory.
Engineering workflows were designed around human workers. Agents are multiplying inside your repos — but the process layer that governs them is missing.
Tickets are assigned to humans, not agents.
Sprint planning assumes human capacity.
PR review assumes human-authored code.
CI checks syntax and tests — never intent.
Managers cannot see AI coding ROI.
CTOs cannot tell whether AI changes are safe.
The future is not one agent. It is an engineering system designed around agents.
One system, from product intent to a trusted, shipped PR.
Kanso maps the full lifecycle of AI-generated work — so every change carries its context from idea to outcome.
Every AI-generated change should know its intent, owner, risk, evidence, and outcome. Kanso keeps that thread unbroken — the system of record and control layer above the coding agents your team already uses.
From backlog to trusted PR — in five steps.
Connect backlog, repos, agents, and CI
Link Linear, Jira, GitHub, your coding agents, and CI. Kanso becomes the system of record for AI-generated work.
Convert product intent into agent-ready tasks
Kanso turns tickets into engineering specs with acceptance criteria, impacted files, and an AI-safe vs human-led split.
Route work to the right coding agent
Each task is scored and sent to the agent that performs best for that class of work — Claude Code, Codex, Cursor, and more.
Validate with tests, policies, risk, and approvals
Every change is graded on spec coverage, risk, and policy. High-risk work is held for the right human reviewer.
Ship, measure, and learn from every change
Merge with evidence, then feed outcomes back into the loop to expand autonomy only where it is proven safe.
A calm interface over genuinely complex work.
Click into any screen. The whole demo is interactive — send work to the factory, create a PR, approve it, and watch the audit trail fill in.
One operating layer. Four points of view.
Humans set direction. Agents execute. Kanso keeps the system honest — for everyone who depends on it.
Product Manager
- Turn product ideas into agent-ready engineering work
- See which tasks are AI-safe vs human-led
- Track product intent all the way through shipped PRs
Engineer
- Send tasks to agents without losing control
- Compare outputs across agents side by side
- Review risk, tests, and spec coverage before the PR
Engineering Manager
- See throughput, review load, merge quality, and rejected AI work
- Define policies for safe autonomy
- Understand which work types should be automated
CTO / VP Engineering
- Track AI engineering ROI across teams
- Control risk and keep everything auditable
- Expand autonomy safely, only where it is proven
Use the coding agents your team already loves.
Kanso does not replace Cursor, Claude Code, Codex, Copilot, Devin, Replit, or OpenHands. It sits above them as the system of record and control layer — adding the operating layer your company needs.
Enterprise-grade control, built in from the first change.
Agents can write code. Kanso gives your company memory, judgment, and control.
Policy blocked an auto-merge
PR #1839 · permission boundary
SOC 2-ready posture. Designed for enterprise audit from day one.
Autonomy you can measure — and trust.
“Kanso gave us the missing layer between AI coding experiments and actual engineering operations. We finally know what our agents shipped, why, and whether it was safe.”
Maya Chen
VP Engineering, Series B infrastructure company
“Our backlog keeps moving even when the team is offline. The factory never sleeps, and nothing ships without evidence.”
Daniel Osei
Eng Manager, dev-tools startup
“The first tool that let me expand agent autonomy without losing a single night of sleep over an audit.”
Priya Nair
CTO, AI-native SaaS
Start by observing. Grow into a software factory.
Three packages that map to how much you trust your agents. Begin with visibility, add governance, then turn on automation where it is proven safe.
Observe
For teams
Visibility into AI-assisted changes.
- AI-generated change provenance
- Agent run and PR visibility
- Delivery and ROI dashboards
- Audit trail (90-day retention)
Govern
For scaling orgs
Risk, policy, approvals, and audit.
- Everything in Observe
- Policy engine and approval rules
- Risk scoring and sensitive-path detection
- Human-in-the-loop controls
- Extended audit retention
Factory
For AI-native engineering orgs
Backlog-to-PR automation and delivery intelligence.
- Everything in Govern
- Backlog Factory automation
- Multi-agent routing and comparison
- Autonomy levels for safe classes
- Delivery intelligence and learning loop
Add the operating layer your company needs.
Humans set direction. Agents execute. Kanso keeps the system honest — from backlog to trusted PR.