Use case

Quality inspections with nonconformance approvals

Operationalize quality: inspections produce records, deviations route to explicit decision points, and remediation closes with evidence—so work instructions are safe under pressure.

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Quality gates + nonconformance

Treat work instructions like an operating system: decision points produce approvals, exceptions, and evidence artifacts.

Decision points

Inspect

Approve

Remediate

Approval gates

QC review

Supervisor approval

Rule

Major deviations route to QC + supervisor. Approval records and rationale make decisions repeatable.

Evidence completeness target

74%

Set a completeness target and route missing artifacts back to owners before shipment.

Deviation score

58

Higher severity = stricter gates and richer evidence artifacts.

Evidence artifacts

work_instruction_version

inspection_record + measurements

nonconformance_record + rationale

approval_record

Nonconformance is manageable when exceptions are explicit and evidence is queryable across runs.

Definition

A quality workflow is audit-ready when inspection outcomes, deviation decisions, and remediation closure are captured as structured evidence artifacts tied to work instruction versions.

Impact

Results teams are seeing

Safer

Work instructions

Gates + exceptions reduce hidden deviations

Audit-ready

Quality evidence

Queryable artifacts tied to versions

Fewer repeats

Remediation loop

Exceptions route to owners with SLAs

Capabilities

What you can do with Process Designer

Measurements become records

If it isn’t captured as a record, it’s not audit-ready.

Deviation path is explicit

Critical deviations use a controlled path with sign-offs and rationale.

Remediation closes with proof

Closure requires evidence artifacts—not “fixed” in chat.

Learn from nonconformance

Codes and root causes become actionable improvement signals.

Use cases

Where teams apply Process Designer

Real workflows that benefit from visual design, automation, and governance.

Inspection steps and measurements

A reusable pattern with clear ownership, approvals, and evidence artifacts—designed to scale across teams.

Deviation taxonomy + severity

A reusable pattern with clear ownership, approvals, and evidence artifacts—designed to scale across teams.

Approval gates for deviations

A reusable pattern with clear ownership, approvals, and evidence artifacts—designed to scale across teams.

Remediation closure with proof

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

1

Inspect

Capture inspection steps and measurements as structured records.

2

Decide deviation path

Route deviations by severity to the right approval gate.

3

Remediate

Assign remediation tasks with owners and closure evidence requirements.

4

Improve

Trend deviation codes and fix upstream causes (not downstream heroics).

Implementation

Your path to process excellence

A phased approach that delivers value at each step.

1

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: Inspection steps and measurements + Deviation taxonomy + severity
  • Define decision points, owners, and approval gates
  • Create evidence artifacts for: inspection_record + measurements + nonconformance_record + rationale
2

Month 1

Operationalize and measure

Run the workflow with teams, capture evidence, and publish dashboards for outcomes + drift.

  • Publish dashboards for: Nonconformance rate (by code) + Time to close remediation
  • Standardize exception codes and escalation rules
  • Create remediation loop: red items → owner → SLA → closure evidence
3

Quarter 1

Scale patterns across departments

Reuse the patterns across adjacent workflows and reduce variance without adding bureaucracy.

  • Expand to remaining focus areas: Approval gates for deviations, Remediation closure with proof
  • 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)

Free-text deviations

They can’t be trended, owned, or mapped to remediation playbooks.

Use a small deviation code taxonomy with owners and SLAs.

Severity without gates

If severity doesn’t change approvals and evidence, it’s just a label.

Tie severity tiers to approval gates and required artifacts.

Closure without evidence

Teams move on and proof becomes reconstruction work later.

Block closure until required artifacts exist and are timely.

Remediation tracked in chat

Overdue actions become invisible and repeats increase.

Route remediation tasks with owners, due dates, and closure evidence.

No version reference

You can’t explain which instruction was followed at the time.

Store work_instruction_version inside inspection and approval artifacts.

No learning loop

The same deviations repeat because upstream causes are not fixed.

Trend top codes and route improvement tasks to process owners.

Playbook

Nonconformance taxonomy: make it measurable

Free-text deviations are noise. Start with a small set of codes (10–30) and map each code to an owner and remediation playbook. If a code doesn’t trigger action, remove it.

Deviation path: controlled exceptions

Critical deviations are not “handled later”. They route to a controlled exception path with sign-offs, rationale, and compensating controls—then close with evidence.

Tie evidence to work instruction versions

When the work instruction changes, your evidence expectations change too. Store instruction version references inside inspection and approval artifacts so audits can query “what was true at the time.”

Evidence completeness gates: stop shipping with missing proof

A quality gate isn’t just a checklist—it’s a publish rule:

  • required artifacts exist (inspection_record, approvals, deviation records)
  • artifacts are timely (created before shipment/closure)
  • exceptions are explicit (with rationale and owner)

This lets teams move fast while keeping proof complete.

  • Define required artifacts per severity tier

  • Block closure if critical artifacts are missing

  • Route missing artifacts back to owners with SLAs

  • Trend completeness by team and shift

Audit queries you should be able to answer in seconds

  • Which runs had critical deviations in the last 30 days?
  • Which deviations were approved without rationale?
  • Which remediation tasks are overdue?
  • Which work-instruction version correlates with repeat deviations?

If you can’t query it…

…you’ll reconstruct it. That’s the real cost of file-only quality documentation.

Pilot

Pilot checklist (60 minutes to first value)

Start here

  • Define 10–30 deviation codes and owners

  • Model inspection steps and measurement records

  • Create a controlled deviation path with sign-offs

  • Require closure evidence for remediation

  • Review top codes monthly and fix upstream causes

Q&A

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.

How do we start without boiling the ocean?+

Pick one high-risk inspection workflow, define a small deviation code set, and add one controlled deviation path with approvals and required evidence artifacts.

Do we need to capture every measurement?+

Capture what matters for decisions. The goal is a structured inspection record that supports repeatability and audit queries—not an overbuilt form.

How do we prevent “silent fixes”?+

Make rework and deviations first-class events: nonconformance records, deviation approvals, and remediation closure evidence.

How do we link quality to the work instruction?+

Store the work instruction version reference inside inspection and approval artifacts so you can query outcomes by version and detect drift.