Deliverable 01
AI Workflow Evidence Map
A plain-English map of where AI is used, what inputs it consumes, what outputs it creates, who reviews it, what systems touch it, and where evidence is or is not retained.
Audit Grill-Me flagship engagement
Audit Grill-Me AI Evidence Readiness Sprint
In 10 business days, we test whether one AI-enabled workflow can be reconstructed and defended after the fact.
- fixed price
- $9,500
- workflow
- 1
- business days
- 10
- production data required
- No
- custom proposal
- No
What this is
This is not an AI policy workshop.
Most AI governance projects produce documents. Audit Grill-Me produces an evidence-readiness packet: a concrete view of whether a specific AI-assisted workflow can survive scrutiny after the fact.
The question is simple
Six months from now, can you reconstruct the evidence behind a specific AI-assisted decision?
model versionpromptinputsretrieved sourcesoutputhuman reviewerapproval trailoverride historyretained evidence
If not, the issue is not theoretical. It is an auditability gap.
What you receive
Five deliverables. One evidence-readiness packet.
Concrete artifacts your audit, risk, and governance owners can act on, not a slide deck of principles.
Deliverable 02
Six-Month Reconstruction Test
A pass/fail stress test of whether the company could reconstruct a specific AI-assisted decision six months later.
Deliverable 03
Auditability Gap Register
A severity-ranked list of missing evidence, weak controls, unclear ownership, retention failures, logging gaps, source-linkage failures, and human-review weaknesses.
Deliverable 04
Audit Committee Briefing Memo
A concise, board-ready memo explaining the workflow, auditability risks, evidence gaps, and recommended remediation sequence.
Deliverable 05
30/60/90-Day Remediation Backlog
A practical action plan showing what to fix first, what can wait, and what should be implemented before the workflow scales.
See sample audit packet
A fictional, redacted packet with the artifact shape made public.
Audit Grill-Me
Test whether you can defend it before someone asks.
One workflow, ten business days, a fixed price, and an evidence packet your audit committee can read.
How it runs
Ten business days, fixed and sequenced.
Day 0
Apply and pay
The buyer completes a short intake form. If qualified, they receive standard terms and payment instructions.
Day 1
Intake
They submit workflow description, policy and control documents, screenshots, sample artifacts, and answers to the reconstruction checklist.
Days 2-7
Auditability stress test
The workflow is evaluated against the Six-Month Reconstruction Test.
Day 8
Draft findings
Preliminary gaps are organized into evidence, ownership, retention, logging, review, and governance categories.
Day 10
Deliver packet
The buyer receives the evidence map, gap register, audit committee memo, and 30/60/90-day remediation backlog.
Optional readout
One 45-minute readout call. No open-ended consulting.
Is it for you
A narrow scope, deliberately.
Best fit - companies that...
- Have at least one AI or GenAI workflow in production or serious pilot
- Operate in a regulated or audit-sensitive environment
- Have an internal audit, risk, compliance, legal, or AI governance owner
- Expect board, audit committee, regulator, customer, or investor questions about AI controls
- Need a concrete evidence packet, not another generic AI policy workshop
Not a fit - companies that...
- Want broad AI strategy
- Want custom software implementation as the first step
- Need legal advice or a formal legal opinion
- Need model validation, bias testing, or SOC 2 certification
- Require review of PHI, CUI, classified data, or sensitive production data during the initial sprint
Private workflow handling starts after fit review.
No sensitive production data is required for the initial sprint. Do not submit PHI, CUI, customer secrets, privileged material, or regulated production data through the initial application. The sprint is designed to begin with workflow descriptions, screenshots, redacted artifacts, policies, and control documents. Standard NDA available before intake.
Applications are reviewed for fit before any private sprint or approved deployment handling begins.
After the sprint
Fixed-price next steps, only if you want them.
You receive a remediation backlog and defined options. You are never obligated to continue.
Full AI Workflow Auditability Assessment
$35,000 fixed
Up to 5 workflows4 weeks
Audit committee deck, gap register, evidence-retention design, governance-control recommendations, and implementation roadmap.
Fixed scope · fixed price
Auditability Implementation Sprint
$54,000 fixed
90 days3 x $18k milestones
Logging architecture, evidence-retention workflow, prompt/version tracking, source-linkage design, human-review trail, and documentation.
Fixed scope · fixed price
Quarterly Audit Grill-Me Refresh
$7,500 / quarter
RecurringPer workflow
Retest the workflow after remediation, update the scorecard, and refresh the audit committee packet.
Fixed scope · fixed price
Questions
Before you apply.
Is this legal advice?
No. This is an engineering and auditability assessment. It does not provide legal advice or a legal opinion.
Do you need production data?
Not for the initial sprint. The first sprint is designed to avoid sensitive production-data access wherever possible.
Is this a replacement for Big 4 AI governance work?
No. It is narrower and more concrete. It tests whether one workflow can be reconstructed and defended.
What happens after the sprint?
You receive a remediation backlog and fixed-price next-step options. You do not have to continue.
Why is this fixed price?
The scope is intentionally narrow: one workflow, ten business days, defined deliverables.
What if we are not sure which workflow to test?
The intake form asks enough questions to help select the highest-risk workflow.
Audit Grill-Me
Test whether you can defend it before someone asks.
One workflow, ten business days, a fixed price, and an evidence packet your audit committee can read.