Audit
Capture the workflow, clarify the commercial problem, and rank the strongest AI opportunities.
Process-backed credibility
Proof before logos. Operating rigor before hype.
Until named client case studies exist, Roy shows buyers the delivery discipline behind the work: audit structure, workflow capture, reporting cadence, and proof packaging.
What this page does
Replaces vague trust claims
Everything shown here is framed as process evidence or sample artifacts.
Delivery model
How delivery works
Pilot
Launch one controlled workflow with owners, review points, success metrics, and reporting.
Rollout
Scale only after the first workflow proves itself and the operating logic is stable.
Buyer outputs
What buyers receive
- Executive summary of the business problem and recommendation
- Current-state workflow summary with bottlenecks and trust constraints
- Ranked opportunity shortlist with commercial logic
- Pilot brief with owner, success metrics, and operating assumptions
- Proposal-ready next-step structure
How success is measured
- Baseline metric definition before implementation
- Named owner for each tracked workflow metric
- Before-and-after evidence collected during pilot reporting
- Proof assets tagged for internal, client-shareable, or external-safe use
Example artifacts
Preview the operating system behind delivery
Sample deliverable
Audit deliverable outline
Executive summary, ranked opportunities, pilot recommendation, and metric framework.
Sample deliverable
Pilot charter template
Use case, workflow owner, reporting cadence, operating assumptions, and risk notes.
Sample artifact
Weekly executive report shell
Progress summary, metric movement, blockers, incidents, and next-step decisions.
Sample artifact
Proof repository structure
Before-state evidence, after-state evidence, workflow screenshots, and approval status.
Governance asset
Security and trust review checklist
Human review, data sensitivity, workflow boundaries, and approval paths are explicit.
Proof rule
Marketing-ready evidence package
No claim becomes external-facing unless it is stored, measurable, and approved for use.
Security and trust approach
What keeps the work credible
Human review is not assumed. It is designed.
Approval points and workflow ownership are captured as part of the recommendation, not left implied.
Evidence is stored with source context.
Metrics, screenshots, and artifacts are tagged with date window, owner, confidence level, and approval status.
External claims are deliberately constrained.
No logos, named metrics, or testimonials are used publicly without explicit permission and supporting proof.
The process is built for buyer trust, not theater.
Roy uses sample artifacts and reporting structures to demonstrate rigor while live proof is still being earned.