Governed automation for consequential work
Build autonomy.Keep control.
Describe a process. Your agent builds the tools and workflow around your systems, proves it in rehearsal, and keeps every action within your rules.
Your systems. Your approval roles. Your limits.
- 01Describe
- 02Discover
- 03Build tools
- 04Rehearse
You describe the process
When an AP invoice arrives, compare its total to the purchase order total and hold anything more than two percent over for a human to approve.
I’ll build the lookup, comparison and hold tools around your ERP, then route exceptions to an AP manager. Bank detail changes stay blocked.
Tools the agent builds
5/5- ERP read
Look up purchase order
lookup_po_by_number - Rule
Compare invoice to PO
compare_invoice_to_po - Approval
Place invoice hold
place_hold - Reversal
Release invoice hold
release_hold - Outcome
Report the exception
report_escalate
2% tolerance · AP manager approval
Rehearsal · invoice 1042
3 safety checks passed- RanCompare invoice to PO4% over
- SimulatedPlace invoice holdNo write made
- BlockedChange bank detailsNot permitted
- EscalatedReport the exceptionAP manager
External writes simulated · Rehearsal only.
Boundlane Studio + Control
One process.
From intent to evidence.
Studio builds the workflow, rules and approval points into one version. Control runs that same version under policy. Your team can inspect what it may do before giving it more authority.
Process knowledge, engineering and governance belong together.
The knowledge lives with the people who run the process, the implementation lives in an engineering backlog, and the controls arrive last. Boundlane keeps all three in one versioned system.
Process knowledge
Lives in documents and in the heads of the people who run the process.
With BoundlaneCaptured as versioned requirements, rules and exceptions the automation is built from.
Engineering capacity
Every change queues behind an integration backlog.
With BoundlaneThe implementation is generated against the systems you connected, and proved before it ships.
Governance
Prompts and access tokens get treated as controls.
With BoundlanePolicy is enforced outside the model, and every effect is recorded.
Understand
Reads your process documents and the structure of the systems you connect. Records the rules it learns, and asks when a fact it needs is missing rather than assuming one.
Build and prove
Writes the workflow, the tools and the guardrails, then tests them against scenarios and against cases that already happened. It cannot go live until that passes.
Run and improve
Executes under policy, routes approvals and exceptions to the right people, and turns what the runs reveal into the next version.
The package that passes the gate is the package that executes — pinned by hash, and refused at runtime if the bytes changed.
The product
See what an automation can do.
And where its authority ends.
Workflow, business rules, rollout and run evidence, in one reviewable place.
Connect a system and it gets read, not configured.
Connecting reads the real objects, fields and picklist values into a context graph — three objects and seventeen fields here. That graph is what the agent designs against, which is why it cannot invent a field you do not have.
Taken from the running product, not a mockup.
Control at the point of action
The model proposes.
Policy decides.
An action reaches your systems only when the policy layer allows it. Forbidden actions never execute, and an approval cannot override that boundary.
Inspect the controlsModel proposal
Change a supplier’s bank details
Policy decision
Blocked in every rollout stage
Evidence
The refusal is recorded and escalated to a person. No change reaches the supplier record.
Forbidden actions never execute, in any rollout stage
Per-tenant secrets, envelope-encrypted; the master key can live in a cloud KMS
Row-level isolation across every tenant query
Hash-chained audit trail; the chain head can be anchored outside the platform
Every automation keeps the evidence to answer: what did it do, why was the action allowed or refused, who approved it, and can the effect be reversed?
Across the enterprise
Built around the work
your team already knows.
For teams whose processes are too consequential to hand to a script. Each function brings its own vocabulary, approval roles and hard limits; the way they are enforced stays consistent.
Finance operations
Invoice matching, exception handling, supplier chases, reconciliation and close tasks. Limits, approvals and an audit trail are hard requirements from the first process.
Never releases a payment
IT operations
Ticket triage, access requests, provisioning and routine changes against systems such as ServiceNow or Jira. High volume, clear rules, and a person involved where the rules require one.
Never disables multi-factor authentication
HR operations
Onboarding, offboarding, case management and the records that follow a person through them.
Never changes bank details
Revenue operations
Order-to-cash steps, quote approvals, renewal chases and CRM hygiene across systems such as Salesforce or HubSpot. Processes that span systems and today depend on people forwarding work.
Never grants admin access
Customer support
Ticket triage, entitlement checks, escalation paths and refund review.
Never deletes an audit record
Custom domain packs
Define your own vocabulary, business roles and hard limits. Everything else on this page works the same way.
Never exports records in bulk
Reference architecture
Horizontal reach.
Vertical depth.
Anyone across these functions can describe a process in plain language. Each automation is built against that system’s real schema, under that function’s own approval roles and forbidden actions.
We have also mapped Boundlane against the enterprise agentic-platform reference architecture published by QuantumBlack, AI by McKinsey.
Where Boundlane sits, box by boxAn independent reading of a published architecture. Not an endorsement, partnership or affiliation.
Now onboarding design partners
Bring one real process.
We build it with you, rehearse it against real cases, and move forward on your rules when the evidence supports it. Design partners have a direct say in what we build next.