Adoption has outrun governance
AI is on most board agendas, and adoption has moved faster than governance: roughly four in five organizations use AI tools, while about one in four governs that use. 214ID works with boards, executive teams, and the organizations they lead to close that gap: education that builds working fluency, governance documentation that stands up to audit, and independent evaluation of AI tools, vendors, and transactions. The work is led by a sitting director who operates these structures in practice.
Fluency, From the Boardroom Down
Fluency comes first. A board that understands how AI works asks better questions, sets sounder policy, and evaluates spending with more confidence. The same framework is delivered at every level of the organization.
Executive AI Fluency Briefing
The core engagement. Sixty minutes to a half day, delivered live: a working mental model of AI at executive depth, the Six Dimensions of a Strong Prompt, the incidents directors should know, and three concrete actions for the next quarter.
Annual Board AI Update
One board session a year covering what has changed since your briefing: capability, law, and the incident record. The pace of change gives any single briefing a limited shelf life.
Staff AI Fluency Training
The briefing adapted for staff: hands-on practice with your sanctioned tools, your data rules applied at the keyboard, and an emphasis on judgment over novelty.
Private Executive Coaching
One-on-one sessions built around your actual work, at your pace, for the senior leader who prefers to build fluency privately. Conducted with discretion.
The 214ID App
A companion iOS app for continued practice: structured lessons, the Prompt Refinery, and signed Trust Receipts. Keeps the framework in use between sessions.
Governance & Policy That Holds Up
Written policy, a sanctioned tool, and a record of AI use: the three actions every briefing recommends, built properly. Documented governance is no longer just good practice; as AI law accumulates, it is a legal position.
AI Governance Health Check
A rapid diagnostic of your organization's AI governance posture: a scorecard, a findings memo, and a sequenced twelve-month roadmap. A practical first step before further investment.
Staff AI Policy
A clear, practical AI policy for your staff: sanctioned tools, tiered data rules, human accountability, and the records an auditor will ask for. Sized to your organization, reviewed with your counsel, presented to your board.
Board AI Oversight
Which committee owns AI risk, in writing: charter language, a standing agenda item, and a concise one-page quarterly report. Designed from direct board experience.
Regulatory Exposure Snapshot
A plain-language map of where your operations touch the growing body of AI law, built with your counsel, ranked by exposure, with the evidence each obligation requires.
Annual Governance Review
Policy, systems inventory, and training record, reviewed together once a year and reported in a memo your board can file. Keeps the governance program current rather than static.
Strategy & Operating Discipline
Policy establishes what is allowed; strategy establishes what is worth doing. This work turns scattered AI activity into owned pilots, clear decision rights, and a sustained operating rhythm.
AI Strategy & Use-Case Pipeline
A working session series that converts scattered experiments into two or three fully specified pilots with owners, gates, and success measures, plus an explicit list of what not to pursue.
AI Operating Model
Who approves tools, who owns use cases, what gets measured, and what reaches the board: decision rights sized to your organization, without unnecessary committee structure.
Fractional AI Governance Lead
A standing senior role on a monthly cadence: the approvals queue, the governance artifacts, the quarterly board report, and ongoing counsel on AI matters as they arise. Capacity is limited to a small number of organizations.
Independent Judgment on Vendors & Transactions
Most advisors in a technology transaction are compensated only if the deal closes. 214ID is not, and that independence is the point: arm's-length evaluation for decisions where AI claims carry financial consequence.
AI Vendor Evaluation & Contract Posture
A reusable framework for testing vendor AI claims, and the contract terms to seek at purchase and renewal: training-use clauses, data protection, notice of change, and exit provisions.
Owner-Side AI Proposal Review
An independent review of a vendor's AI proposal before you sign: what is actually promised, what it should cost, who owns the data, and a clear recommendation to proceed, renegotiate, or pass.
AI Diligence for M&A
A focused diligence module at deal speed: whether the target's AI is a genuine product or a thin layer over another company's model, and whether its data can legally support the investment thesis. Grounded in direct transaction experience.
Where to start
Two natural first steps. Each takes under a month, and each clarifies what, if anything, should come next.
Executive AI Fluency Briefing
Sixty minutes to a half day, delivered live. Your board leaves with a working mental model and three concrete actions for the next quarter.
Under a month · Sets the agenda for what followsAI Governance Health Check
A rapid diagnostic of your organization's AI governance posture: a scorecard, a findings memo, and a sequenced twelve-month roadmap.
Under a month · Establishes a baseline before further spendingPut AI on a footing your board can defend
Engagements begin with a conversation, not a contract. Confidential by default.