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The UnriddlerGlobal AI & Innovation Executive

Big ideas. Quick proof. Actual progress.

I help leaders and teams work out where AI can create real business value, prove it quickly, and build the evidence for the decisions that follow.

Executive advisory, keynotes, workshops, and innovation programs.

A good question is a useful place to start.

Ady Mor-Biran standing with arms crossed, smiling, in a bright office in a cobalt blazer.

What are we unriddling?

Pick the situation that sounds familiar. I'll show you where I'd start.

Choose a situation to see where I'd start.

We have AI pilots everywhere.

Where I'd start

Start with the decision, then examine the pilots.

My take

A pile of pilots shows activity. What matters is whether each one moves you toward a decision and a measurable result. I would start by making the intended decision, owner, and evidence visible.

A better question

What result would justify scaling this, and what would tell us to stop?

A small next move

Choose one pilot. Write down the user, the problem, the value it should create, the decision owner, and the evidence needed for the next decision.

This is where I'd start, not a diagnosis. One choice can't tell me how your organization really works.

Everyone has tools. Work hasn't changed.

Where I'd start

Look closely at one piece of work.

My take

Access to a tool is a starting point. To understand adoption, I would look at a specific task, the people doing it, and what would make a changed workflow save enough time or effort to stick.

A better question

Which recurring task could become measurably better, and how would the team know?

A small next move

Pick one task with the team that does it. Agree what better means in time, quality, or cost, try an AI-assisted workflow, and compare the result with the current approach.

This is where I'd start, not a diagnosis. One choice can't tell me how your organization really works.

I can't keep up with AI.

Where I'd start

Give your attention a job.

My take

You can follow every announcement and still struggle to decide what matters. I would start with the work, customers, or decisions you care about, then filter developments through that context.

A better question

Which developments could change something important for our people or business?

A small next move

Choose one role, workflow, or business question. Follow developments relevant to it and select one capability worth testing against a real business need.

This is where I'd start, not a diagnosis. One choice can't tell me how your organization really works.

Experience behind the questions.

Global innovation leadership
I led The Garage at Microsoft globally: 15 centers of innovation around the world.
Both sides of the table
I work with the leaders who make the decisions and with the teams who make them real.
English, Hebrew, and Spanish
Talks, workshops, and executive sessions, in person or online.

Find your starting point.

A decision to make, a room to move, or a team ready to prove an idea.

  • Executive advisory

    An AI strategy that survives Monday morning.

    Agree on the priorities worth funding, the decisions they need, and the changes that turn AI into measurable value.

  • Speaking and briefings

    Give the room something to talk about.

    Keynotes and briefings that connect what is changing with what your audience can do next.

  • Workshops and innovation

    Bring a problem. Leave with a validated answer.

    Hands-on work that helps teams find where AI creates value, test it on real work, and bring the evidence to the next decision.

Need ongoing AI leadership in the room? Read about the fractional CAIO role

Ady Mor-Biran on a conference stage in a burgundy blazer, arms open toward the audience, a large screen behind her and audience silhouettes in the foreground.
On stage at MPC echo.

A little easier to understand in person.

Keynotes, briefings, and working sessions where I explain, question, and work a room, in English, Hebrew, or Spanish.

Here's what moving from activity to value can look like.

Internal innovation

Illustrative example An illustrative working example, not a client story.

  1. The situation

    A company has a dozen AI pilots across several departments. Every team is enthusiastic, and the leadership team can't say which ones deserve next year's budget.

  2. The question I'd ask

    What decision is each pilot meant to inform, and who owns that decision?

  3. What would change

    Each pilot gets one page: the user, the problem, the value it should create, the decision owner, and the evidence that would justify the next step. Pilots without an owner pause until they have one.

  4. What we'd look for

    A shorter list the leadership team can fund or stop with confidence, with a date for each decision.

Someone needs to own what happens next.

FOMO Monday

I follow AI obsessively. You have other things to do.

FOMO Monday: a fast, opinionated filter for what's changing and why it matters.

A private briefing sorts what changed into three piles, filtered through your industry and the questions your team is asking.

Worth your attention
A development that could change something for your people or your business, and why.
Worth trying
A quick, bounded test for a specific team, with the result that would show it's worth it.
Getting more attention than it deserves
A claim that is ahead of its evidence, and what would need to be true for it to matter.
Ady Mor-Biran leaning on a desk with her chin on her hand, smiling.

The person behind the questions

I like complicated questions. I like useful answers even more.

My work sits between technology, business, and the people expected to make change happen. I bring a global innovation perspective, a practical understanding of AI, and a habit of asking what would make the next step pay off.

What are we unriddling?

Tell me what you're working on, what feels stuck, and what a good result would look like.

Invite Ady to speakDiscuss an advisory engagement

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