Why work with me

Leaders: Give your teams the gift of time.

I work with you to put AI to work across your organization so people can focus on meaningful work and new ideas.

Creating that time starts with a business outcome, not another AI tool. Leaders need to agree on what should improve; teams need to see where AI can fit into their work. I bring those conversations together and connect experiments to results people can measure.

My experience in delivery, coaching, and portfolio management keeps this work grounded in how people actually work. Leadership agreement has to become priorities teams understand, changes they can carry out, and a clear choice about where reclaimed time goes.

That is the starting point for my leadership alignment workshops. Using Outcomes360’s Outcomes-First AI Approach, we agree on the business outcome before choosing where AI fits. The F.A.S.T. Outcome Sprint then tests AI in one real workflow against measurable outcomes within weeks. The evidence builds buy-in, creates momentum, and shapes a clear direction for what comes next. The workshops below show how I put this into practice.

How I work with leaders and teams

Today’s AI challenges and ways forward

From pilot to real work

Proof of concept

The POC graveyard: Why pilots stall

A pilot should test a real business question and lead to a decision. Too often, it stalls as another demo, without a shared outcome, clear owner, or agreed next step.

I work with leaders to reset the question, choose a real workflow, and define what evidence is needed to scale, change, or stop.

Takeaways: Shared outcome; clear owner; next decision.

Early implementation

Why AI implementations struggle in practice

Some initiatives move beyond a POC but struggle once teams use them in daily work. Poorly designed implementations can create friction, lack a roadmap, or fail to deliver measurable value.

I assess what is happening in the workflow, identify barriers, and work with leaders and teams to reset priorities and move toward measurable results.

Takeaways: Surface barriers; reconnect work to outcomes; choose next steps.

Set direction and guardrails

Leadership alignment

Align leaders before building an AI roadmap

I work with leaders to clarify the outcomes they want, identify where AI could make a difference, and create shared direction for an AI roadmap they can move forward together.

Takeaways: Align on outcomes; set shared priorities; agree on a clear next step.

Governance, ethics and cost

Plan for responsible AI use as it grows

I assess how AI is being used across your organization, identify gaps in governance, ethics, and cost management, and work with leaders to prioritize what needs attention before scaling. Together, we can set project budgets, establish spend alerts, and regularly review token and tool costs against outcomes.

Takeaways: Set guardrails; manage usage; scale with evidence.

Redesign work and roles

Capacity

Decide where reclaimed time has the most impact.

With leaders and delivery teams, I identify which preparation, coordination, and reporting tasks AI could support, what still needs human review, and where reclaimed time should go. The aim is a deliberate choice about how to use that capacity in coaching, conversations, and decisions.

Takeaways: Reclaim time; invest it in people; keep human judgment.

SAFe, going AI-Native

Adapt SAFe roles for AI while keeping human accountability

SAFe roles are full of work AI may support, from preparation and coordination to communications. I teach the framework and coach the people who use it. I work with RTEs, product managers, and portfolio leaders to explore how AI changes the work, where responsibilities may shift, and why coaching, judgment, and relationships still need people.

Takeaways: Find work AI can support; redesign roles; keep human accountability.

Build learning into the culture

Learning through experiments

Learn from AI experiments, including the setbacks

I use real AI experiments to help people recognize weak assumptions, adapt when a plan breaks, and choose a manageable next test. Learning includes the rebuilds and the misses, so teams have a more realistic starting point for their own experiments.

Takeaways: Adapt when plans change; share the misses; learn faster together.

Psychological safety

Make it safe to speak up and try

I work with teams to build psychological safety through team-owned working agreements. Together, we make it easier to say “I don’t know,” raise a concern, or admit a mistake, then decide how to keep those agreements useful as the work changes.

Takeaways: Speak up early; make agreements together; revisit them as work changes.

Ways to work together

What kind of support would move your work forward?

Choose the kind of support you need, then tell me about your goals and timing so we can make the next step count.

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Event materials

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Short bio · about 70 words

Alex Kanaan is Head of Learning and Enablement at Outcomes360. He leads executive workshops and AI-Native and SAFe certification programs, drawing on experience in delivery, enterprise architecture, Agile coaching, and portfolio management. His sessions connect AI possibilities to the decisions leaders and teams face in their own work. A self-taught app builder, he brings practical experimentation to his teaching and spoke at the 2026 SAFe & AI Summit in San Diego.

Long bio · about 240 words

Alex Kanaan helps leaders connect AI adoption to the work their organizations need to improve. As Head of Learning and Enablement at Outcomes360, he leads executive workshops, AI-Native and SAFe certifications, and enablement programs for leaders and teams.

His background combines consulting and delivery with experience inside large enterprises. At Accenture, he worked on enterprise systems for global clients. At Logica UK, Ltd., he led program delivery and bid management for client engagements across Europe, the Middle East and Africa. He later led applications and information systems for a United Nations agency with more than 25,000 staff, worked in enterprise architecture at Avanade, and spent eight years at USAA in Agile coaching and portfolio management.

At Marathon Petroleum, his work as an Agile Coach and Release Train Engineer became a setting for experiments with AI in preparation, coordination, and reporting. Those experiments informed his 2026 SAFe & AI Summit session in San Diego, which examined where RTE time goes and where human judgment is still needed.

At Outcomes360, he initiated and championed the Outcomes-First AI Approach and F.A.S.T. Outcome Sprint. Together, these methods help leaders agree on a business outcome, select one workflow, and test AI against measurable results within weeks.

He has also built four free assessments, including the AI Readiness Compass, and holds a BSBA in Computer Information Systems from the University of Central Missouri. He completed Executive MBA coursework at the University of Bradford.