Knowledge work blueprint
Example BuildA delivery system that turns expert judgment into repeatable, reviewable work.
An example build for consulting, legal, engineering, finance, and professional services teams where documents, research, analysis, and approvals slow down delivery.
Example build. Not presented as a client result.
First workflow
Research-to-draft workflow with human review and source trail
Owner
COO, practice leader, delivery leader, or managing partner
Window
8-10 week first production sprint
Proof standard
Draft cycle time, review quality, source completeness, rework, and expert capacity returned
Decision Frame
What the first build has to answer.
Audience
Professional services leaders, COOs, practice leaders, and owners
Situation
High-value people spend too much time gathering context, formatting drafts, reconciling sources, and waiting for review.
Business question
Which parts of expert work can AI draft or check while humans keep judgment, quality, and client accountability?
Build Sequence
From idea to a managed operating workflow.
01 · Weeks 1-2
Map the expert workflow
Define inputs, source standards, draft types, review gates, quality criteria, and what must remain human-led.
02 · Weeks 3-6
Build source-grounded drafting
Create AI-assisted research, summarization, first-draft, QA, and citation workflows around approved knowledge sources.
03 · Weeks 7-10
Train the review cadence
Launch a manager review loop for draft acceptance, corrections, knowledge gaps, and quality improvements.
Operating System
What ClearForge would put around the work.
These layers keep the build tied to a workflow, not a demo. The goal is an owner cadence people can actually run.
Knowledge base
Connects approved templates, prior work, source files, and research rules.
Draft workflow
Turns intake and source material into reviewable first drafts.
QA checks
Checks missing evidence, unsupported claims, formatting, and policy issues.
Review loop
Captures edits, acceptance, reuse, and knowledge gaps for improvement.
Controls
Where humans stay in control.
No external delivery without human approval
Source trail required for claims and recommendations
Sensitive documents stay inside approved systems
Reviewers score draft quality and correction themes
Evidence To Bring
What makes the diagnostic useful.
Examples of recent deliverables and source materials
Current templates, review comments, and approval standards
Knowledge repositories and document permissions
Common rework themes and delivery bottlenecks
Value Signals
What leaders should inspect after launch.
Cycle time
Draft to review
Time from intake to first human-reviewable output.
Quality
Correction themes
What experts change and why.
Capacity
Expert hours
Time returned from low-judgment assembly work.
Related Paths