Leanmote reads your workflows and shows what every AI dollar returns, per team. Then we put agents on recovering what's lost to rework, queues and waiting.
Or start from what we see most often:
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AI Return
Every team placed by cost per outcome × rework. Scale what pays off. Fix what doesn't.
Reading it: each bubble is a team · bubble size = its monthly AI spend · position = what that spend is buying
Resolution Agents
Your team already generates more with AI. Each agent repairs the piece of your workflow where that speed gets stuck and tokens get wasted.
RESOLUTION
Diagnosis
PRs wait days because seniors are the bottleneck.
What it does
AI impact
Review capacity grows at the pace AI generates code.
RESOLUTION
Diagnosis
Work freezes mid-flow for days without a decision.
What it does
AI impact
Recovers the ROI that evaporates while AI-fast code waits in queues.
RESOLUTION
Diagnosis
Tickets bounce back after QA, and nobody knows why.
What it does
AI impact
Cuts the silent tax on AI gains: fast code that must be redone.
AI COST
Diagnosis
Each delivery costs more than usual: costly unattended runs, prompts carrying too much context, and more agents at once than anyone can review.
What it does
AI impact
Cuts what each delivery costs in AI without slowing the team down.
AI COST
Diagnosis
Paid AI seats nobody uses, and spend that delivers less than its peers.
What it does
AI impact
Stops paying for AI that returns nothing.
IN THE CATALOG
CUSTOM BUILT · Your Workflow Agent
Your bottleneck doesn't look like anyone else's.
AI impact
The agent your workflow needs, even if it isn't on this list.
How it works
Most tools show you what's wrong. Leanmote puts agents to work on the fix.
Stage 1 · Context Engineering
Leanmote connects your board, repos and CI/CD and builds the picture everything else depends on: every team mapped with its tools, its AI spend and its current impact: a real baseline, not an industry benchmark.
Platform
Frontend
Data
Stage 2 · Diagnostics & Insights
Anomalies, early warnings and bottlenecks, each classified into the pattern that explains it (rework, queues, WIP overload, deploy failures) and priced by delivery value at risk.
Stage 3 · Resolution Agents
Every detected pattern has an agent that resolves it, installed calibrated with your signals, boards and thresholds. They execute, escalate what isn't theirs to decide, and log what moved the metric.
Tiered autonomy, human in the loop
The impact of AI
AI impact isn't adoption, seats or vibes. It's what got delivered, minus what had to be redone, over what you paid for it.
Outcome
$68K
delivery value shipped / mo
Rework
$17K
redone, bounced, rolled back
Investment
$25K
$16K AI tooling · $9K people-hours reviewing rework
Impact of AI
2.0×
return per AI dollar
Security-first architecture
We process metadata, never source code. Agents operate with tiered autonomy: read-only until you say otherwise, and every action they take is logged and reversible.
SOC 2® audited by an independent CPA firm.
Independently audited by a licensed CPA firm. Full report available under NDA.
Agents observe → propose → apply with approval → execute. Destructive actions always require confirmation, and every batch has a dry run and rollback.
