SERVICE B / IMPLEMENTATION / Professional Services
Implementing boundaries between expert advice, AI drafts, and client deliverables
A Service B simulation for research, proposals, contract and policy review, and client-facing deliverables in professional services.
This is a fictional case designed to explain Insynergy's implementation approach. It does not describe an actual client engagement, diagnostic result, or specific company situation.
BASELINE FROM ASSESSMENT
Assessment result
33 / 100, Level 2: Boundary Informal
Convert unclear AI-use decisions into operating rules.
Make AI-generated analysis, proposal text, contract issue lists, and deliverable drafts usable within expert judgment, quality review, client contractual conditions, and confidentiality obligations.
- Organization
- Professional services firm
- Target workflows
- Research, proposal creation, contract and policy review, client-facing deliverable drafting
- AI use
- Research support, proposal drafting, contract review support, deliverable drafting
- Implementation window
- 8-12 weeks
FROM ASSESSMENT TO IMPLEMENTATION
Connect findings to implementation deliverables.
Assessment finding
Service B implementation
Assessment finding
Professional judgments where AI must not decide are not explicit.
Service B implementation
Create Decision Boundaries by professional judgment type.
Assessment finding
Review triggers for client submission, legal impact, and financial impact are insufficient.
Service B implementation
Define review triggers and approvals before client submission.
Assessment finding
AI-specific review criteria are missing.
Service B implementation
Create a professional services Human Judgment Review procedure for sources, assumptions, and client conditions.
Assessment finding
Differences between AI drafts and final deliverables are not recorded.
Service B implementation
Introduce Decision Logs for AI drafts, references, human edits, and final deliverables.
Assessment finding
Boundary review is not tied to client contracts or confidentiality obligations.
Service B implementation
Define Boundary Governance for client conditions, new tools, and deliverable types.
IMPLEMENTATION GOALS
Target operating state
Expert advice
Prevent AI-generated analysis from being treated as expert opinion without human final judgment.
Client deliverables
Define pre-submission review, source checks, caveat checks, and responsible approval.
Contracts and confidentiality
Define AI input conditions and exception approvals for client materials, unpublished information, and confidential data.
Evidence
Retain differences between AI drafts and human edits so quality issues and client questions can be explained.
TARGET WORKFLOWS
Workflows covered by the implementation
Workflow
AI use
Design focus
Workflow
Research
AI use
Information gathering, summarization, issue candidates
Design focus
Require source, recency, and client-condition checks.
Workflow
Proposal creation
AI use
Structure, draft copy, comparison tables
Design focus
Define quality review, financial impact review, and feasibility confirmation before client submission.
Workflow
Contract and policy review
AI use
Issue candidates, clause summaries, risk candidates
Design focus
Limit AI to issue candidates; human experts retain legal and advisory judgment.
Workflow
Client-facing deliverable drafting
AI use
Drafting, tone adjustment, summarization
Design focus
Require expert review, client-condition checks, and Decision Log records.
DELIVERABLES
Implementation deliverables
Deliverable
Description
Primary users
Deliverable
Professional judgment Decision Boundary™
Description
Defines AI role and human judgment across advice, review, proposals, and deliverables.
Primary users
Engagement owners, quality management, professionals
Deliverable
Review trigger and threshold list
Description
Defines review conditions for client submission, legal impact, financial impact, and critical proposals.
Primary users
Engagement owners, reviewers, quality management
Deliverable
Human Judgment Review procedure
Description
Standardizes checks for sources, assumptions, client conditions, caveats, and expert judgment.
Primary users
Professionals, reviewers, managers
Deliverable
Decision Log template
Description
Records AI drafts, references, human edits, final deliverables, and approvers.
Primary users
Project teams, quality management
Deliverable
Client-contract AI-use rules
Description
Clarifies client consent, confidential information, reuse restrictions, and external AI-use permissions.
Primary users
Sales, legal, engagement owners
Deliverable
Boundary Governance rules
Description
Defines reviews when client conditions, tools, or deliverable types change.
Primary users
AI program owners, quality management, legal
STANDARD PROCESS
Standard process
Phase
Duration
Work
Output
Phase
1. Kickoff and scope definition
Duration
1 week
Work
Confirm target workflows, client-contract conditions, quality procedures, and assessment findings.
Output
Implementation scope
Phase
2. Decision type mapping
Duration
1-2 weeks
Work
Classify research, advice, proposals, contract review, and deliverable decisions.
Output
Professional judgment type inventory
Phase
3. Decision Boundary™ design
Duration
2-3 weeks
Work
Define AI support, human review, human final judgment, and AI-excluded decisions.
Output
Decision Boundary™ design document
Phase
4. Responsibility and review design
Duration
2 weeks
Work
Define review triggers for client submission, legal impact, financial impact, and critical proposals.
Output
Review trigger and responsibility matrix
Phase
5. Evidence design
Duration
1-2 weeks
Work
Define records for AI drafts, references, edit rationale, and final deliverables.
Output
Decision Log template
Phase
6. Governance design
Duration
1 week
Work
Define boundary review for client conditions, new tools, and deliverable types.
Output
Boundary Governance rules
Phase
7. Pilot and adoption
Duration
1-2 weeks
Work
Pilot on representative engagements and verify review burden and deliverable quality.
Output
Final deliverables and training materials
DECISION BOUNDARY SAMPLE
Example Decision Boundary™ design
Decision type
AI role
Review condition
Final owner
Log requirement
Decision type
Client-facing expert advice
AI role
Analysis and drafting support only
Review condition
Client submission, critical judgment, legal impact, or financial impact
Final owner
Engagement owner or responsible professional
Log requirement
Record AI draft, sources, human edits, and final advice
Decision type
Contract or policy review
AI role
Issue candidate generation only
Review condition
Client submission or legal impact
Final owner
Professional or legal reviewer
Log requirement
Record AI issue candidates, additional checks, and final view
Decision type
Input of client confidential information into AI
AI role
Restricted by default
Review condition
Client consent or internal approval only
Final owner
Engagement owner and legal
Log requirement
Record consent conditions, input scope, and purpose
BEFORE / AFTER
What changes after implementation
Before
After
Before
It was unclear when AI analysis became professional opinion.
After
Professional advice requires human final judgment.
Before
Contract issues not extracted by AI could be missed.
After
AI is limited to issue candidates and human additional review is required.
Before
AI use in client-facing deliverables was not retained as evidence.
After
Decision Logs record AI drafts, references, and edit rationale.
Before
AI input decisions for client confidential information were left to project teams.
After
Client consent conditions and exception approval are defined.
Before
New tools did not trigger boundary review.
After
Boundary Governance requires review when new tools or deliverable types are added.