Product · Workflows
Automation that crosses your tools, not just a chat window.
Chain AI coworkers, connectors, and human approvals into multi-step workflows — triggered by events in your systems, checked against policy at every step, and logged end to end. The work moves; the control never leaves.
Example workflow · support reply
Running
Why governed workflows
The next wave of shadow AI isn't chat. It's automation nobody owns.
Chat assistants answer questions; the real productivity is in work that completes itself — tickets triaged before anyone reads them, reports assembled overnight, records kept in sync. That's why agent adoption is exploding: workplace-suite agent activity has grown by an order of magnitude in a year, and analysts expect task-specific agents in a large fraction of enterprise applications imminently.
The risk profile changes with it. A person misusing a chatbot leaks data once; an unowned automation with standing access misbehaves continuously — and no-code builders make it easy to create exactly that. Security teams now rank unowned agent activity among their fastest-growing concerns, because traditional monitoring assumes a human behind every action.
Leapforce Workflows exists so automation can grow without growing that risk: every workflow has an owner, a scope, policy checks at every step, human gates where judgment matters, and a complete record of what ran.
How it works
Anatomy of a governed workflow.
01
Trigger
Events start work
A ticket arrives, a record changes, a document lands, a schedule fires. Triggers come from governed connectors, so a workflow can only listen where it has been granted ears.
02
Steps
Coworkers and actions chain
Steps mix AI coworkers (draft, classify, summarize, decide-with-rules) and connector actions (read, write, notify). Each step runs under the workflow's identity with its own scope.
03
Gates
Humans hold the judgment calls
Approval gates pause the workflow for a named person — before a send, a payment, a deletion. The workflow waits patiently; the trail records who approved and when.
04
Policy
Every step passes the gateway
Masking, model routing, budget checks, and allow/deny rules apply mid-workflow, not just at the start — a workflow can't do at step six what its owner wasn't allowed at step one.
05
Record
Runs are replayable history
Every run logs its trigger, steps, decisions, approvals, costs, and outcome. Failures are diagnosable, successes are measurable, and auditors get answers instead of shrugs.
Capabilities in depth
Built for work that runs while nobody watches.
Durable, resumable runs
Workflows survive restarts, provider hiccups, and long waits at approval gates. A run that pauses Friday for sign-off resumes Monday exactly where it stopped, with its context intact.
Retries and dead-ends handled
Transient failures retry with backoff; persistent ones stop the run and notify the owner rather than looping. A stuck workflow costs attention, never an unbounded model bill — budgets cap it structurally.
Escalation paths
Confidence thresholds route edge cases to people: the coworker handles the routine ninety percent, and the odd ten percent arrives in a human queue with full context attached.
Cost-aware by step
Each step declares its model needs, so routing sends classification to cheap models and reasoning to premium ones within a single run. Agentic work is token-hungry; per-run cost visibility keeps it honest.
Templates across teams
A proven workflow publishes as a template other departments adopt with their own scopes and connectors — the pattern travels, the permissions don't.
Testing before trusting
Dry runs execute against read-only scopes and show what would have happened — drafts composed, records that would change — before write access is ever granted.
Ownership and hand-off
Every workflow has a named owner and appears in access reviews. When owners move on, workflows transfer — automation never becomes the thing nobody remembers deploying.
Works with what you have
Existing schedulers and iPaaS automations can trigger Leapforce workflows and vice versa. The point isn't replacing your automation stack — it's giving the AI-touching parts identity, policy, and audit.
In practice
Workflows teams actually ship first.
Support
Ticket arrives → triage coworker classifies and drafts → policy masks customer data → human approves the send. Routine volume clears; people keep the judgment.
Sales
Meeting ends → notes summarize → CRM updates as a draft record → rep confirms. The pipeline stays current without anyone typing status updates at 6pm.
Finance
Month closes → reporting coworker assembles summaries on the local model → controller reviews → report distributes. Sensitive numbers never leave the network.
HR
New hire confirmed → onboarding checklist generates → accounts request through IT connectors → manager gets a day-one brief. First days stop depending on memory.
Operations
Weekly schedule fires → status coworker reads project tools → cross-team digest drafts → owner approves and posts. One workflow replaces four meetings' worth of chasing.
Questions we hear
Workflows — frequently asked.
How is this different from Zapier-style automation?
Classic automation moves data between apps on fixed rules. Leapforce Workflows adds governed intelligence: AI coworkers doing judgment-shaped steps, policy and masking applied mid-run, human approval gates, per-run cost attribution, and an audit trail built for agents. Use both — govern the AI-touching parts here.
Who can create and publish workflows?
Policy-controlled, like coworkers: build freely within your own scopes; publishing something that acts autonomously requires the owner approval your policy names. Every published workflow appears in access reviews.
What stops a workflow from looping and burning budget?
Hard limits: per-run and per-workflow budgets, step counts, and rate caps. A run that hits its cap stops and notifies its owner. Runaway agent loops are a known industry failure mode — here they're a bounded annoyance, not an invoice.
Can a workflow act while its owner is on vacation?
Yes — it runs under its own identity, not the owner's session. Approval gates route to whoever holds the approving role, with delegation rules for absences. Ownership is accountability, not a keep-alive.
What happens when a step fails at 3am?
Transient errors retry automatically; real failures pause the run, preserve its state, and notify the owner with the full step history. Nothing half-completes silently — the run either finishes, waits, or stops loudly.
Do approvals slow everything down?
Gates go only where consequences are real — sends, payments, deletions. Read-and-draft workflows run gate-free. Most teams start gate-heavy and relax deliberately as run history builds trust; the history makes the case either way.
Can workflows call our internal systems?
Yes — through connectors in the registry, including custom ones built for internal tools on the managed plan. Steps inherit the connector's action-level scopes; a workflow can't reach past its grants. See Connectors.
How do we measure whether a workflow is worth it?
Each workflow reports runs completed, human minutes at gates, escalation rate, and cost per run. Compare that against the manual process it replaced — the record makes the ROI conversation short.
Keep reading
Leapforce is in active development — per-capability build status (live, in development, roadmap) is disclosed honestly on request. Industry figures above are drawn from public 2025–2026 research and cited ranges vary by study.