A vertically integrated workflow platform
The AI factory for your operations.
Bring AI to every part of your operations. Compose workflows around your team, your agents, or both, so every decision is sharpened by AI-driven intelligence. Your team makes higher-quality calls, faster, and stays focused on the work that truly matters.
See it run · one goal, end to end
Maya sets one goal.
Grow revenue 15% this quarter — and figure out how.
Maya · growth
set a goal
Claude Opus
planning
GPT-5
planning
Gemini 2.5
planning
researcher
revenue data
analyst
churn signals
researcher
account fit
growth-plan.md
draft · written
growth team
approved growth-plan.md
new-onboarding
live · 1,204
usage-paywall
live · 980
lifecycle-emails
live · 1,150
code-agent
edits + tests
update-pricing-svc
PR #482 · +318 −94
Dana · eng
approved PR #482
+15% revenue
shipped this quarter
The product
A system of record for everything you do.
Every process your company runs becomes a workflow — versioned, observable, and owned end to end.
One console
Every decision your company makes, on one screen.
Watch every workflow, run, and approval from one place — or drive it from the CLI, the SDK, Slack, or a webhook. Same system, every surface.
Runs
Trust & control
Autonomy you can sign off on.
Agents do the work; you keep the controls. Every decision is reviewable, every action is logged, and the calls that matter wait for a human.
Human-in-the-loop, where it counts
Risky actions wait for a person. Approvals, mentions, and sign-offs are part of the run — not a bolt-on.
Every run traced, timed, and costed
Each step, tool call, and token is recorded and priced. Nothing fires unseen; cost is bounded, not a surprise.
Isolated sandboxes, full rollback
Agents act in confined sandboxes — real tools, real network, fully isolated. A failed run says what broke and re-runs on one click.
Action · held for review
Issue refund · $4,200
Stripe · acct #8821 · by win-back-flow
Policy: refunds over $1,000 wait for a human.
logged · policy v3 · every decision recorded
Traced end to end
Every run is a graph you can follow.
The same view the platform runs on: a run laid out as the trace that produced it, so any output walks back through the model, tool calls, and approval behind it.
answer-support
succeeded · 38sTrigger · Gmail
inbound email
support@agentcompose.ai
Agent
Claude Opus
drafted reply
Tool
check-docs
3 articles read
Tool
check-crm
acct #8821
Approval
Maya · support
approved draft
Output
reply sent
resolved · 38s
One run, fully traced. Follow any output back through every model, tool call, and human approval that produced it — nothing happens off the record.
Durable & retriable
Every step, tool call, and token — durably recorded.
It isn't a log; it's durable state. Each step is journaled the moment it happens, so a run survives a crash, a deploy, or a week-long pause and resumes exactly where it left off — no work lost, nothing run twice. Replay a failed step on its own, or the whole run, with one click.
Timeline
RetryHand-off
One surface where work passes between people and agents.
The Workbench is where an agent asks you to approve something, flags you in a draft, or leaves a finished file on the shared drive — and where you hand work back. Decisions, mentions, todos, and docs in one quiet list.
Workbench
Where humans + agents hand off- contract-review · Approve the redlined NDA?8m
- Maya flagged you · check the Q3 numbers in the draft22m
- Send the partner recap · you1h
- report.md · by daily-monitor2h
- Add a todo…
Build
Compose a workflow — describe it or code it.
Write it in plain language or with the SDK. Set the model for each step, wire in the tools it can use, and decide where a human signs off. Register once; it runs in isolated sandboxes, versioned and observable from the first run.
When a support email arrives, draft a reply with Claude, check our docs, and send only after I approve.
Generated answer-support
- TriggerGmail inbound
- Draft a replyClaude · reads your docs
- Approvalwaits for your sign-off
- SendGmail reply
Evolve
Experiment in ways you couldn't before.
Fork any workflow into dozens of variants — different models, prompts, and steps — and simulate them against real traffic, each in its own sandbox. The winner proves itself and ships automatically.
Experiment
1,284 variants this weekanswer-support
branched ×4
v1 · GPT-5
64% resolved · control
v2 · Claude Opus
79% resolved · +15%
v3 · Gemini 2.5
67% resolved · +3%
v4 · Claude + tools
76% resolved · +12%
answer-support branched ×4
v1 · GPT-5
64% resolved · control
- win
v2 · Claude Opus
79% resolved · +15%
v3 · Gemini 2.5
67% resolved · +3%
v4 · Claude + tools
76% resolved · +12%
Every variant answered real tickets in its own sandbox. The winner shipped itself — resolving 15% more on the first reply than the version you wrote.
Any model
The model is a parameter, not a lock-in.
Claude, GPT-5, Gemini, a local model, your own fine-tune, an agentic CLI you wrote last week — plug it in. Run several models inside one job and every run renders the same: tools used, tokens spent, every turn traced.
Agent logs
Three models · one runAnalytics
Spend less every month — not more.
Break consumption down by model to find the expensive steps, by teammate to spot the outliers. Swap a model, cache a lookup, drop a turn — same outcomes, fewer tokens.
Spend by model
18% vs last monthSpend / month
Total spend
$8.2k
Tool calls
667.7k
File ops
124.2k
Make the decisions that matter, with AI-driven intelligence.
Agents take on real, consequential work — researching, analyzing, and executing across your business — and surface the evidence behind every call. Your team makes the high-stakes decisions faster and sharper, with a human in command and every step traced. We're onboarding teams now; bring one painful process and we'll run it for you.
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