Executive assurance letter
A concise position with version, coverage date, assurance boundary, and next review date.
AI Assurance / High-trust firms
Prove how AI touches client work.
Petrichor helps communications firms, law firms, and government contractors show that sensitive information stays controlled and expert judgment remains accountable.
Start with one demanding client and three sensitive workflows.
The pack is what the client can show. The operating system is what makes the pack true.
01The gap
The commercial problem
Most firms can describe their intentions. Few can produce the proof.
A policy says what should happen. A client, procurement team, or general counsel wants to know what happens in the work they are trusting you to perform.
01
Where is AI used—and where is it prohibited?
02
What happens to sensitive, privileged, embargoed, controlled, or contractual information?
03
Which tools are approved, and what do their terms actually commit them to?
04
Where do human review, professional judgment, and final accountability remain mandatory?
05
What current evidence supports the answer—and what happens when something changes?
02The trace
The evidence standard
Trace every external claim to operating reality.
Select any layer of the chain. If one link is missing, the statement is not ready to put in front of a serious client.
Claim
A precise external statement, such as: approved AI tools do not train on client content under the firm’s contracted configuration.
03The output
The client-facing artifact
One controlled answer for clients, counsel, security, and procurement.
The Assurance Pack is concise enough to forward and specific enough to evaluate. Client annexes handle legitimate differences without creating a new policy for every account.
Approved-use and data position
Where AI may assist, what information may enter, which tools are allowed, and what remains prohibited.
Human accountability model
The decisions and outputs that require expert review, named ownership, and escalation.
Client choice and restrictions
A practical route for opt-out, consent, disclosure, tool, matter, account, or contract-specific limits.
Evidence and evaluation summary
The workflow tests, quality checks, provenance rules, staff activation, and evidence-freshness status.
Response library and annexes
Controlled answers for questionnaires, RFPs, outside-counsel reviews, procurement, and demanding clients.
12-slide boardroom deck
Use the presentation-led version for executive conversations. Share the PDF or adapt the editable PowerPoint.
Need the detailed operating architecture? Download the 12-page executive brief.
04The editions
One system / Three obligation libraries
The architecture stays constant. The scrutiny changes by sector.
| Edition | Sensitive boundary | Client-visible outcome |
|---|---|---|
| Communications | Embargoed announcements, crisis facts, executive vulnerabilities, strategy, media intelligence. | Protect sensitive retainers and make responsible AI visible to client leadership. |
| Legal | Privileged communications, work product, matter files, PII, deal information, client guidelines. | Answer outside-counsel, InfoSec, quality, billing, and matter-level AI questions consistently. |
| Government contracting | FCI/CUI boundaries, technical and proposal data, program information, prime and contract restrictions. | Support bid and contract readiness with a documented assurance layer—without implying certification. |
05The build
Implementation
Build the answer. Test it under pressure. Keep it current.
01Typically four weeks
Establish the boundary
Inventory actual AI use, sensitive information, client obligations, tools, owners, and high-consequence workflows. Leadership approves exactly what the firm will—and will not—assure.
02Typically eight to ten weeks
Build the system
Encode workflow controls, use-case factsheets, vendor responsibilities, human review, task-specific tests, evidence records, the client pack, and the response library.
03Typically six to eight weeks
Activate and prove
Run role-specific activation, an executive tabletop, a material-change test, and a realistic client or procurement challenge. Close material evidence gaps before launch.
04Ongoing
Keep it true
Refresh evidence, reassess changed tools and workflows, maintain client restrictions, track exceptions, review incidents, and independently challenge the system.
Proof gate
The firm responds to a realistic assurance request within 24 hours—without unsupported claims or material evidence gaps.
06The value
The business case
Ground the investment in operating value—not fear.
The diagnostic builds the economic case from the firm’s own numbers. Generic breach averages and invented win-rate lifts do not belong in the base case.
01
Safe capacity unlocked
People × validated hours × working weeks × realizable value × conservative attribution.
02
Assurance labor removed
Client, RFP, audit, and questionnaire events × current review hours × loaded reviewer cost.
03
Revenue supported
Client, panel, bid, or contract value × buyer-approved assurance influence × contribution margin.
Risk reduction is reported separately. It enters the model only when the customer has credible incident probability and loss data.
07The standard
Aligned / Not overclaimed
Built to withstand scrutiny without pretending to be a certification.
The control spine can map to recognized frameworks. Sector and client obligations sit on top. Qualified advisers remain responsible for legal, privacy, cybersecurity, and certification conclusions.
NISTAI RMF + Generative AI ProfileISO/IEC42001 AI management systemsCSAAI Controls Matrix v1.1ACCOutside-counsel GenAI readiness
This work does not: provide legal advice, determine privilege, assess or certify cybersecurity compliance, guarantee factual accuracy, eliminate AI risk, or guarantee that a client, regulator, insurer, contracting officer, or procurement team will accept the firm’s position.
08Questions
A fast first read
Questions serious buyers ask first.
01What is an AI Assurance Pack?
An AI Assurance Pack is a concise, client-facing set of statements and evidence explaining where AI is used, how sensitive information is handled, which tools are approved, where human judgment remains mandatory, and how the firm keeps those statements current.
02How is this different from an AI policy?
A policy expresses intent. Assurance connects that intent to specific workflows, accountable owners, approved tools, client restrictions, operating controls, current evidence, test results, exceptions, and review dates.
03Is this an ISO/IEC 42001 certification program?
No. The system can map relevant practices to ISO/IEC 42001, the NIST AI Risk Management Framework, and the CSA AI Controls Matrix, but Petrichor does not claim certification or replace a qualified certification body.
04Does Petrichor provide legal or cybersecurity advice?
No. The work complements qualified legal, privacy, cybersecurity, professional-responsibility, and compliance advisers. It does not determine privilege, certify security, or provide legal advice.
05What is the first step?
Start with one demanding client and three sensitive workflows. The diagnostic maps the information, tools, AI role, human boundary, client restriction, current evidence, and business value at stake before a larger system is scoped.
The practical first step
Choose the client you would least want to answer unprepared.
We will map three sensitive workflows, the evidence you have, the gaps you cannot yet defend, and the operating value of closing them.