Independent Advisory · Trademarked Framework · USPTO Reg. 99559923
Digital Information Governance® for AI-mediated decisions that have to hold up.
A discipline for organizations where the cost of being misrepresented by AI systems, misinterpreted by leadership, or unauthorized in agent deployment is no longer acceptable.
The framework
Three layers. One discipline.
DIG® governs three layers of how organizations are represented, understood, and acted on in AI-mediated environments.
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01
Representation Integrity
How AI search engines, large language models, and external data flows portray your company. When ChatGPT, Claude, Perplexity, and Google AI Overviews summarize your sector or your firm to a buyer, regulator, or capital partner, what they say has to be accurate, current, and decision-grade.
Failure mode: AI-generated summaries describe your company in terms you would not use, anchoring deal context, board questions, and investor framing before you enter the room.
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02
Interpretation Discipline
How decisions are formed from AI output before they reach leadership. Dashboards, models, and explanations are interpretation layers — not judgment. When interpretation replaces judgment, decision quality degrades silently.
Failure mode: leadership hesitates without knowing why. Confidence fragments. Strategy slows despite apparent alignment.
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03
Authorization Boundaries
Which AI agent decisions require human sign-off — and which don't. Production AI agents acting in operational environments need clear authorization boundaries. Without them, you have agents making decisions no human in the room can audit, defend, or own.
Failure mode: a decision is questioned by a regulator, a board, or a buyer, and the audit trail starts at "the IT team set it up."
Why this discipline now
Three forces converged in 2025-2026.
Force 01 — Regulatory
Defensible governance is now a written requirement.
TRAIGA in Texas (Sep 2024). The EU AI Act (in force 2024-2026). NIST AI Risk Management Framework. ISO/IEC 42001. The era of "we use AI responsibly" as a posture statement is over — the regulators expect a binder.
Force 02 — Operational
Production AI agents act, not just generate.
2024-2025 was the era of AI assistants. 2026 is the era of AI agents acting in production: scheduling, routing, procuring, allocating capital. The governance question is no longer "what did the AI write?" — it's "what did the AI authorize?"
Force 03 — Reputational
AI search engines write the second-order story about your company.
Buyers, investors, and regulators now ask AI before they ask you. If the AI describes your company inaccurately, that framing anchors every conversation that follows — and it's a representation problem your CMO, IR team, and PR firm cannot solve alone.
First production engagement
Tamboran Resources (NYSE/ASX: TBN) — 60 days, six AI platforms.
Three structural failure modes in how major large language models represented Tamboran were resolved across six AI platforms in 60 days. The work was representation-layer governance — the same discipline applied to public-company disclosure rigor.
The framework held under the kind of scrutiny that public-company governance demands: written, defensible, and reviewable by counsel. It is the proof case the framework was designed to produce.
Where DIG® engagements run
Two paths, one operator.
DIG® lives in two places — depending on whether you need a productized assessment with defined scope and price, or a pre-decision advisory conversation that may or may not require an engagement at all.
Path A — Productized
ModalPoint
The productized governance practice. Tier 0 Shadow AI Assessment ($2,500, three weeks) for a structural read of your AI agent deployment exposure. Full DIG® engagements for organizations that need binders, not bullet points.
See ModalPointPath B — Advisory
Strategic Growth Advisory
The pre-decision conversation. For organizations not yet sure whether the issue is governance, organizational alignment, or both. Independent, selective, and advisory — in many cases, the conversation alone is sufficient.
Request a serious conversationNext step
Have a defensible answer before the question gets asked.
The questions DIG® was designed to answer — can you defend that AI decision in a courtroom, a boardroom, or a JV negotiation? — are now being asked in writing. The framework is independent of any one engagement model. Where it lives depends on what you need.
Talk to ModalPoint Or start with an advisory conversation →