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Case Study · Project 04

AI-Assisted SOP & Knowledge-Base Workflow

A tested portfolio prototype for converting business policy and process sources into executable internal SOPs and public-safe knowledge-base content while exposing ambiguity instead of inventing missing rules.

Business AISOP DesignKnowledge ManagementSource GroundingProcess QA
StatusTested portfolio prototype

The problem

Business documentation often starts from scattered policy notes, SME explanations, process steps, and exceptions. AI can turn that material into polished prose quickly, but polished prose is dangerous if it silently resolves source conflicts, invents missing owners, overstates service levels, or exposes internal-only information in public help content.

The goal

I designed a reusable workflow that converts supplied business sources into a normalized process model, an executable internal SOP, and—when needed—a customer-facing knowledge-base article, with source fidelity, ambiguity handling, audience separation, QA, and human approval built into the process.

Core design

Do not let the model turn missing business rules into plausible policy.

The central design decision is to surface uncertainty rather than hide it. Conflicting authoritative sources produce a SOURCE CONFLICT. Missing operational details become OPEN QUESTIONS. Public documentation is derived only after internal-only information has been separated.

Process architecture

Sources → Conflict Check → Process Model → Information Boundary → SOP / KB → Cross-Document QA → Human Approval

Workflow

Business Documentation Flow

Sources → normalized process → SOP / KB → QA → approval

TESTED FLOW
01

Source Intake

Collect authoritative policy, SME notes, roles, tools, exceptions, and version information.

02

Conflict Check

Detect contradictions, stale material, and missing policy facts before drafting.

03

Process Model

Normalize trigger, inputs, owners, actions, decisions, exceptions, and completion.

04

Boundary Check

Classify details as internal-only, public-safe, or uncertain.

05

Draft SOP

Write executable internal steps with roles, decisions, exceptions, and quality checks.

06

Derive KB

Create customer-safe guidance from the same normalized process model.

07

QA

Check source fidelity, consistency, role clarity, exceptions, usability, and traceability.

08

Human Approval

Leave policy, legal, compliance, security, and publication approval with responsible humans.

Normalization

The workflow converts prose into an executable process model

Before writing an SOP, the workflow extracts operational structure: trigger, inputs, owner, action, decision points, exceptions, escalation, completion, and the evidence produced. This makes missing links easier to detect than in free-form prose.

Trigger

What starts the process?

Required Inputs

What information or evidence is needed?

Responsible Role

Who owns each action?

Decision Point

What rule changes the path?

Exception / Escalation

What happens outside the happy path?

Completion

What state proves the process is finished?

Testing

Six tests targeted business-documentation failure modes

TEST 01

Standard Process

Consistent policy, named roles and one exception

Result

PASS

TEST 02

Source Conflict

14-day and 30-day authoritative policies disagree

Result

Conflict surfaced

TEST 03

Missing Owner

Manual review exists but no role is named

Result

Open question

TEST 04

Internal Leak

Fraud controls appear in source material

Result

Blocked from public KB

TEST 05

SLA Overclaim

"Usually 5–7 days" becomes a guarantee

Result

Corrected

TEST 06

Cross-Document Conflict

SOP and KB disagree on exception handling

Result

Caught

Testing changed the workflow

Failure / Risk

Conflicting policies could be silently merged

Design Fix

Source Authority & Conflict Check

Failure / Risk

Missing owners could be invented

Design Fix

Ambiguity Gate + OPEN QUESTION

Failure / Risk

Happy-path documentation could omit known exceptions

Design Fix

Exception & Escalation Coverage

Failure / Risk

Internal controls could leak into public content

Design Fix

INTERNAL_ONLY / PUBLIC_SAFE / UNKNOWN classification

Failure / Risk

"Usually" could become a customer guarantee

Design Fix

Source-Fidelity Rule for qualifiers and SLAs

Failure / Risk

Vague steps could remain non-executable

Design Fix

WHO / WHAT / INPUT / OUTPUT role-clarity check

Failure / Risk

SOP and KB could contradict each other

Design Fix

One normalized process model + consistency QA

Failure / Risk

Stale policy could be presented as current

Design Fix

Version / Traceability QA

Evidence

What this prototype actually demonstrates

6

Constructed tests

Different business documentation risks

8

QA dimensions

Source, process, boundary and usability checks

2

Audience outputs

Internal SOP + public-safe KB

Validation status

Tested portfolio prototype

The workflow was exercised against the constructed scenarios documented here. It is not presented as legal, compliance, security, or policy-owner approval and is not claimed to be a production-deployed documentation system.

Technical artifacts

Inspect the workflow, process model, SOP, KB article, QA rules, and tests.

Artifact 01

Final SOP & Knowledge-Base Workflow Prompt

The reusable specification for source conflict handling, process extraction, internal/public separation, QA, and human approval.

Artifact 02

Normalized Process Model

A structured demonstration showing how raw business facts become trigger, roles, decisions, exceptions, and completion criteria.

Artifact 03

Sample Internal SOP

A source-grounded internal refund-process SOP with explicit open questions instead of invented operational detail.

Artifact 04

Sample Customer Knowledge-Base Article

A public-safe article derived from the same process model while excluding internal-only controls.

Artifact 05

QA Checklist, Test Suite & Failure / Fix Matrix

The review rules and adversarial scenarios used to refine the workflow.

What this project demonstrates

Business AI Workflow DesignSOP DesignKnowledge ManagementProcess DocumentationSource GroundingInformation Boundary DesignPrompt ArchitectureProcess QAException MappingAmbiguity HandlingFailure AnalysisHuman-in-the-Loop Review

Human-review position

The workflow supports documentation work. Policy, legal, compliance, security, process-owner, and publication decisions remain with the responsible human reviewers.

Limitations

This is an independent tested portfolio prototype. I do not claim client deployment, measured operational savings, policy certification, legal review, security approval, or production knowledge-base integration. The demonstration process and test cases are constructed to show workflow architecture, source-grounding discipline, information-boundary design, and failure-driven refinement.