— monthly AI Advisory

When AI is everywhere, in everything, all at once, AI Decisions Start Compounding, Too.

One good decision doesn’t protect you from the next one.

THREE FAILURE MODES

The Three Ways AI Strategy Fails— Even When It Starts Right

Six months ago, you did everything right. You got aligned. You built a strategy. You knew where your organization stood on AI. But the landscape kept moving. A new tool launched that your CTO is excited about. A vendor promised your investors something you hadn’t approved. A team started building outside your governance because the official process felt too slow.

And now you’re back to making calls alone — except the calls are harder, the stakes are higher, and the decisions are moving faster than your strategy can keep up.

Pilot Purgatory

You ran a successful pilot. Now it’s six months later, and you’re running another one. And another one. The organization is experimenting, not deciding.

Shadow AI

Teams are using AI tools you didn’t authorize, in workflows you haven’t mapped, for outcomes you haven’t measured. You’ll find out when something goes wrong.

FRAGMENTATION

Every department has a different answer to the question “What are we doing with AI?” No one’s wrong. No one’s aligned.

They feed each other. Pilot purgatory creates pressure to experiment outside governance. Shadow AI creates fragmentation. Fragmentation makes the next pilot harder to justify. The cycle continues until someone decides to break it — or until the board asks a question no one can answer.

One Advisor. No Handoffs. No Platform to Sell.

Who You’re Working With

Carollynn Hammersmith has been in these rooms for 20+ years — at IBM as Principal AI Experience Design Lead, as SVP building an agile PMO and AI Center of Excellence, and as the program lead on $160M+ in federal modernization and AI strategy across the Census Bureau, the US Department of Education, HHS, CMS, IRS, NTIA, Commerce, USDA, and more.

She’s facilitated strategy programs across 1,000+ participants. She’s helped organizations build values frameworks that govern their entire AI footprint. She’s been the person on the other end of the call when an investor got pitched something dangerous.

She built this practice because she kept seeing the same thing: organizations with good intentions and no one holding the strategy accountable.

At an aviation client, she led a GenAI pilot that reduced safety data review time by 75% and uncovered $11M in validated process savings — while ensuring the solution was transparent, defensible, and trusted by the agency. At ED, she consolidated a $50M digital portfolio from 27 platforms to 12, saving $5M annually.

THE COST OF INACTION

What’s the Cost of One AI Decision Made Wrong Under Pressure?

Not a catastrophic decision. Just one call — made without a second opinion, under vendor pressure, with investors watching — that takes your organization six months in the wrong direction.

Here’s what that looks like in practice: at the U.S. Census Bureau, a server upgrade completed 24 hours before a scheduled economic data release introduced an undetected error. The data was published 15 minutes late. That 15-minute window created ripple effects in the financial markets. The decision that caused it wasn’t reckless — it was a routine infrastructure change made without enough lead time to test it. No malice. No warning. Just a decision made without governance guardrails.

Now multiply that by twelve months of decisions made the same way. For most organizations at this stage, one misaligned AI decision costs six figures in sunk implementation, stakeholder realignment, and the months you can’t get back. That’s not a hypothetical. That’s what happens when strategy exists without accountability.

If that math made you uncomfortable, the Monthly AI Advisory was built for exactly that discomfort.

WHAT THE ADVISORY INCLUDES

Most Advisory Is a Sales Funnel. This Isn’t.

If I disappeared tomorrow, you should be able to explain what was built, why it was built, and how to defend it.

The Monthly AI Advisory is a six-month strategic partnership. Every month:

→ One 90-minute strategic working session — agenda built from what’s actually happening in your organization.
→ Asynchronous access for decisions that can’t wait for the monthly call.
→ Pre-call review of relevant documents, proposals, or board materials.
→ Post-session summary and decision log for organizational continuity.

CONCRETE SCENARIOS

What This Looks Like in Practice

Independent Assessment

Your vendor sends a proposal for a new AI capability. You forward it before the meeting. I’ve reviewed it, flagged the three assumptions they’re counting on you not to question, and drafted the two questions that will tell you everything you need to know. You walk into the meeting prepared

Sustain Your values

A team lead tells you they’ve been using an AI tool for six weeks without approval. I help you figure out whether this is a risk you need to stop immediately or a pilot worth formalizing — and build the process so it doesn’t happen again without visibility.

Leadership Intelligence

The board wants an AI update. I help you frame what’s been decided, why it was decided, and what the next decision point is — in language that answers the question they’re actually asking, not the one they wrote down.

There’s always a known unknown

Something happens that wasn’t in the plan. An acquisition, a regulatory change, a team departure. I help you figure out what it means for your AI strategy before you have to explain it to someone else.

— FAQs

Questions Leaders Usually Ask.

Is this ongoing or project-based?

Six-month retainer, with the option to continue afterwards. The first three months are typically the most intensive — that’s when we’re building the accountability framework alongside your existing processes.

How many spots are available?

Limited. I work with a small number of advisory clients at any time so I can give each organization the depth of attention the engagement requires. If you’re considering it, the 30-minute conversation will tell you whether there’s availability and fit.

Do I need to have completed The AI Field Lab™ first?

No — but if your organization doesn’t have a clear AI values framework, that’s the first thing we’ll build together. Some advisory clients start here; others move from the Possibility Lab directly into advisory. Either path works.

What if this isn't the right fit?

I’d rather tell you this isn’t the right fit than take your retainer if it isn’t. The 30-minute conversation is where we find that out.

How is this different from hiring an AI consultant?

Most consultants are project-based. They come in, deliver a recommendation, and leave. This engagement is ongoing. The value compounds over time as I understand your situation more deeply.

Do you work with technical leaders or non-technical leaders?

Yes, I work with both types of leaders. I’m particularly skilled in tech-to-business and business-to-tech translation.

How quickly can we start?

That depends on availability. I typically have a 2—4 week intake process before we begin formal sessions. Submit an inquiry and we’ll talk through timing.

Can I cancel?

After the minimum six-month commitment, you can cancel with 30 days’ notice. I don’t lock people into engagements that aren’t working. If it’s not the right fit, we figure that out early.

— The Monthly Advisory

You’ve been carrying the AI strategy alone long enough.

P.S. The leaders who reach out aren’t in crisis. They’re the ones who saw pilot purgatory coming — and decided to do something before it became a board conversation. If that’s where you are, this call is worth more than the time it just took you to read this.

Schedule a 30-minute strategy conversation →

No pitch. Just clarity on whether this is the right fit.