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AI business process automation

AI business process automation, from document to done.

Most business processes are judgment-heavy and exception-prone, exactly where rule-based automation breaks. AI agents read the messy inputs, decide the next step, take the action in your systems, and escalate when they should.

Book a free AI assessmentSee AI agent development
gaper · workflow
TriggerNew support ticket
↓
AgentClassify · look up order · decide
↓
ActionRefund issued · case closed
−42%handle timeauto-resolved
In one sentence

AI business process automation uses AI agents to run multi-step business processes end to end, reading unstructured inputs, deciding the next action, updating your systems, and escalating exceptions to a human, instead of following fixed rules.

Beyond rulesHandles exceptions
Model-agnostic
Human-gatedApprovals on risk
MeasuredTied to a metric
Free AI assessment

Bring one messy workflow. We will show whether an agent, automation, SaaS product, or no build is the right next move.

Find your first agent workflow
01

Beyond RPA: automation that handles exceptions

Rule-based RPA breaks the moment an input is messy or a case is unusual, and most real processes are mostly exceptions. Agents read unstructured documents and emails, reason about the edge case, and decide, escalating to a person when the call is theirs to make.

  • Reads unstructured inputs
  • Decides, not just routes
  • Escalates cleanly when unsure
Exception flow
TriggerRetrieveDecideAct

p95 latency 1.2s

eval pass 12/12

rollback ready

02

From document to done

A process is not automated until the work is finished in your systems. Agents extract the fields, validate them, update the record, notify the owner, and keep an audit trail, not just hand a human a summary.

  • Extract and validate fields
  • Write back to systems of record
  • Audit trail on every step
Production launchWhat Gaper hands over
doneWorkflow map

Inputs, systems, owners

doneAgent build

Tools, prompts, permissions

readyEval suite

Known cases and edge cases

readyGo-live runbook

Approvals, traces, rollback

Handoff packagesource codedashboardrunbookowner training
03

Measured against the metric, humans in control

Every automation starts from the number you want to move, cycle time, cost per case, days to close, and ships with the instrumentation to prove it. Approvals and a kill switch keep your team in control of anything consequential.

  • Tied to a target metric
  • Instrumented ROI you can see
  • Approvals and rollback built in
Outcome dashboard
-42% cycle time31% fewer escalations2.8x ROI signal
Where it pays off

Concrete places agents earn their keep.

01
ticket82% resolved
#4821Damaged ordernew
Agent

Policy matched. Refund ready for approval.

Lookup orderApprove refund
human-gated

Document processing

Read messy PDFs and emails, extract the fields, validate, and route the exceptions.

02
ledger31 hrs saved
Stripe$18,240matched
Bank$18,240clear
audit-ready

AP / AR & invoicing

Match invoices, resolve mismatches, and post with a human approval.

03
pipeline+18% coverage
LeadFitBrief
91

account score

CRM updated
crm synced

Customer onboarding

Collect, verify, and provision across systems with the right approvals.

04
reviewHIPAA path
Credentialing packet3 checks passed
Human review required
review queue

Ticket & request triage

Classify, enrich, and resolve or route requests end to end.

05
extract14 fields
Invoice no.TotalDue date
2 exceptions routed
exceptions out

Data entry & migration

Move and reconcile records between systems without the copy-paste.

06
answerfresh docs
How do I request access?
Answer drafted3 cited sources
HR policyOkta SOP
sources shown

Compliance checks

Check work against policy with citations and a saved evidence trail.

FAQ

Common questions.

What is AI business process automation?+
It uses AI agents to run multi-step business processes end to end, reading unstructured inputs, deciding the next action, updating your systems, and escalating exceptions to a human, instead of following fixed rules.
How is it different from RPA?+
RPA follows fixed scripts and breaks on exceptions and messy documents. AI agents reason about the unusual case, take action across systems, and escalate the judgment calls, so the exception-heavy work gets handled too.
Which processes are a good fit?+
Judgment-heavy, document-heavy, repeatable processes: document and email processing, AP/AR, onboarding, ticket triage, data migration, and compliance checks.
How do you handle documents and unstructured data?+
Agents read PDFs, emails, and forms, extract and validate the fields, and write them back to your systems with an audit trail and a human gate where it matters.
How do you prove ROI?+
Every automation is tied to a target metric and ships with a dashboard tracking it before and after, so impact is measured, not asserted.
Is it secure?+
Yes. We deploy in your cloud with SSO, RBAC, PII handling, and full audit logging, so data stays inside your boundary.
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