KYC onboarding evidence gates
Treat onboarding as a governed workflow: structured extraction, risk gates, exceptions, and evidence artifacts.
Evidence completeness
84%Pipeline
Intake record
Structured extraction (IDP)
Verification checks
Risk decision gate
Completion + version log
Higher risk increases the need for explicit decision gates and exception paths. Evidence completeness determines audit readiness.
Audit readiness
Audit-friendly
evidence-first workflow
Residual risk signal
When residual risk is high, model more explicit approvals and exception handling—then require mitigation evidence.
Exception paths are first-class
Missing documents and mismatches should not be handled in email. Model them as workflows with owners, SLAs, and closure evidence.
Definition
KYC onboarding becomes reliable when decision points are explicit (risk, exceptions) and evidence artifacts are produced during execution—rather than reconstructed from emails and spreadsheets.
Impact
Results teams are seeing
↑ 85–95%
Evidence completeness
Artifacts at gates, not reconstructions
↓ 15–35%
Time-to-onboard
Clear exception paths + guided checks
↓ 20–40%
Rework loops
Structured remediation + ownership
Capabilities
What you can do with Process Designer
IDP pattern for intake
Train structured extraction targets and keep human checks where needed—then bind outputs to evidence artifacts.
Risk decisions as gates
Make thresholds and approvers explicit and record rationale as an artifact.
Exceptions are owned
Missing documents, mismatches, and manual checks are modeled as exception paths with SLAs.
HEIDI guides the run
Voice + UI guidance prompts the right checks and reduces variance across teams and regions.
Use cases
Where teams apply Process Designer
Real workflows that benefit from visual design, automation, and governance.
Document intake + structured extraction (IDP pattern)
A reusable pattern with clear ownership, approvals, and evidence artifacts—designed to scale across teams.
Risk decision points + approvals
A reusable pattern with clear ownership, approvals, and evidence artifacts—designed to scale across teams.
Exception paths (missing docs, mismatches)
A reusable pattern with clear ownership, approvals, and evidence artifacts—designed to scale across teams.
Lifecycle governance (re-checks, drift)
A reusable pattern with clear ownership, approvals, and evidence artifacts—designed to scale across teams.
How it works
From chaos to clarity in 4 steps
Intake + extract
Collect documents, run structured extraction (IDP pattern), and store extraction_result_id.
Validate + decide
Route checks and capture a risk_decision record with approver and rationale.
Handle exceptions
Missing docs and mismatches become exception_record paths with owners + SLAs.
Close with evidence
Publish onboarding completion with links to artifacts and version logs.
Implementation
Your path to process excellence
A phased approach that delivers value at each step.
Week 1
Backbone workflow + evidence map
Pick one workflow, map decision points, and define the minimum evidence backbone.
- Select two focus areas as your pilot: Document intake + structured extraction (IDP pattern) + Risk decision points + approvals
- Define decision points, owners, and approval gates
- Create evidence artifacts for: intake_record + document_ids + extraction_result_id (structured fields)
Month 1
Operationalize and measure
Run the workflow with teams, capture evidence, and publish dashboards for outcomes + drift.
- Publish dashboards for: Time-to-onboard (TTO) + Exception rate (missing/mismatch)
- Standardize exception codes and escalation rules
- Create remediation loop: red items → owner → SLA → closure evidence
Quarter 1
Scale patterns across departments
Reuse the patterns across adjacent workflows and reduce variance without adding bureaucracy.
- Expand to remaining focus areas: Exception paths (missing docs, mismatches), Lifecycle governance (re-checks, drift)
- Add automation where stable, but keep approvals and evidence as first-class steps
- Review monthly: drift signals, exceptions, and evidence completeness
Industries
Tailored for your industry
IT Ops / Security
Challenge
Fast change and frequent incidents create drift and evidence gaps.
How we help
Governed workflows with evidence trails keep reality and documentation aligned under change.
Example: Incident response + change approvals
Regulated services
Challenge
Evidence trails and approvals are non-negotiable, but teams need speed.
How we help
Evidence by design reduces audit burden while keeping teams fast with standard exception patterns.
Example: Access requests + approvals
Avoid these
Common mistakes (and how to avoid them)
Treating onboarding as a checklist only
Risk decisions and exceptions remain implicit.
Model decision points and approvals as workflow gates with evidence.
Storing proof only as PDFs
Audits become manual reconstruction.
Create structured records and attach files only as supporting evidence.
Evidence map (control → decision → artifact)
| Decision point | Evidence artifact |
|---|---|
| Document completeness | intake_record + document_ids |
| Field extraction verified | extraction_result_id + reviewer_id |
| Risk accepted / escalated | risk_decision + rationale + approver |
| Exception resolved | exception_record + remediation evidence |
IDP pattern: structured extraction with human checks
Use screen/voice-assisted training to define what to extract and validate. Keep humans in the loop for high-risk fields. The output becomes a structured artifact you can audit.
Drift loops: keep onboarding true under change
When policy thresholds or required documents change, trigger a version log and re-check coverage. This prevents silent drift across regions.
Pilot
Pilot checklist (60 minutes to first value)
Start here
Define structured extraction targets (IDP pattern)
Define risk decision points + approver tiers
Define exception codes + owners + SLAs
Define evidence artifact schema
Add drift triggers on policy updates
Frequently asked questions
Learn more about how Process Designer works and how it can help your organization.
What makes this use case “audit-ready”?+
It’s audit-ready when the workflow produces structured evidence artifacts at decision points: approval records, exception records with rationale, and version logs for process changes—so proof exists without manual reconstruction.
How do we prevent the SOP from drifting?+
Treat the SOP like a production system: ownership + review SLAs, health scorecards (timeliness/completeness/adoption), and a drift loop (should vs is) that routes remediation to owners.
Does this work outside regulated environments?+
Yes. Evidence trails improve accountability and quality in IT Ops, HR, Support, and Finance even without formal regulation.
Does this replace screening tools?+
No. Treat screening systems as inputs; Process Designer governs the workflow, decisions, approvals, and evidence artifacts.
How do we handle policy changes?+
Publish version logs and route re-check missions so onboarding stays consistent across teams and regions.