digitalBard | A Responsible AI strategy advisor
You Don’t Have an AI Problem. You Have a Decision Problem.
Last quarter, a leader called me after agreeing to an AI deployment timeline that their vendor set. They never consciously made that decision — they just stopped asking questions.
Most leaders I work with don’t doubt AI’s potential. They’re uneasy about the decisions forming around it. AI is moving. The question is who’s steering — and who answers for it when something goes wrong. If that tension feels familiar, you’re paying attention.
Experience & Accountability
Not studied. Led.
You can’t build responsible AI for students in a boardroom.
An EdTech company building AI-powered assessments for students needed more than a strategy. They needed ethical principles that would hold.
I created and led the Smarter AI Think Tank — convening 250+ industry leaders, researchers, and product executives to co-create the values that would govern AI in education. Not imposed from above. Built from the inside out.
Who agreed to the values your AI is operating from — and when did you last check?
$300K pilot. $2M deployment. Built on values the students it served actually deserved.
The failure wasn’t reckless. It was rule-less.
A federal data agency I led published monthly economic indicators — data that moves financial markets. A routine server upgrade completed 24 hours before a scheduled release. No policy prevented it. The release ran 15 minutes late. Fifteen minutes rippled through the markets.
The fix: no infrastructure changes within seven days of a scheduled release. Zero delays after. Not luck — governance.
Are you one missing rule away from the incident you can’t walk back?
When trust is the product, AI that can’t be explained can’t survive.
A federal safety agency needed to innovate — and deliver AI they could explain, defend, and stand behind publicly.
We built human-in-the-loop decision-making, explainability, and risk transparency into the architecture from day one. Not layered on afterward.
75% reduction in review time. $11M in validated process savings. Cited as the model for responsible AI in the public sector.
When your board asks to defend your AI decisions — not the results, but the decisions — what will you say?
If you couldn’t answer all three of those questions immediately, that’s exactly the kind of room I work in
How I Think About AI Decisions
Before any AI initiative advances.
Six questions I apply to every engagement — regardless of industry, scale, or urgency.
A federal agency deployed an AI-assisted review process. Six months later, a citizen appealed a decision the system had influenced. No one in the room could explain how it reached its conclusion.
Can your AI decisions be explained to the people they affect?
A routine server upgrade, completed 24 hours before a scheduled economic data release, caused the data to publish 15 minutes late. That 15-minute window moved financial markets. No one had planned for that scenario.
Does this decision hold up when the stakes get real?
A leadership team made an AI staffing decision in a room of eight people. It affected 200. None of those 200 were represented in the conversation. The rollout failed in exactly the places leadership couldn’t see.
Who has to live with the consequences of this decision?
A client signed a three-year AI platform contract two weeks before a competitor released something that made their use case obsolete. The contract hadn’t moved. Everything else had.
Is this decision reversible if the landscape changes?
I’ve watched the same strategy get presented to a leadership team four times — not because it was wrong, but because the people who needed to carry it forward had never helped build it. They were receiving a document, not owning a direction.
Does the whole organization understand the direction — or just the people who designed it?
In a board prep session, an executive could answer the board’s AI questions fluently, and the clients’ questions confidently. The regulator’s question — “how do you know this won’t cause harm you haven’t measured yet?” — stopped the room.
Can you defend this decision to your board, your clients, and your regulator — in that order?
If You’re Still Reading
This Is the Room I Work In
A pilot that’s scaling faster than your governance can follow. A vendor relationship that’s moving faster than your organization’s alignment. A board conversation that’s coming faster than your strategy can handle.
That’s exactly the kind of room I work in. Is it time to have a conversation? Thirty minutes won’t solve it. But it will tell you whether you’re looking at the right problem — and whether you can afford to keep waiting.
→ SCHEDULE A 30-MINUTE STRATEGY CONVERSATION → 30 minutes. No pitch.