AI for THE BUSINESS

Human-centered AI for modern business

Turn AI from noise into measurable business value. Focus on clarity, execution, and outcomes

What We Do

We help leaders turn AI ambitions into clear priorities, workable governance, and execution plans teams can deliver

  • AI Strategy & Prioritization (use cases, sequencing, success metrics)

  • AI Operating Model & Governance (lightweight, usable, scalable)

  • Enablement & Adoption (leaders + teams, templates + coaching)

  • Executive Advisory & Delivery Steering (alignment, decisions, risk management)

How We Work Together

Choose the model that fits where you are now

Packages start as described — fully tailored to your context during our initial discussion.

Fractional AI Leadership / Advisory

Ongoing senior-level guidance without hiring a full-time executive

For: Teams already experimenting with AI/GenAI who need senior guidance to prioritize, govern, and accelerate progress.

Outcome: Faster, lower-risk decisions, fewer misfires, stronger stakeholder alignment, and consistent momentum.

  • Executive-level AI steering

  • Portfolio and governance leadership

  • Risk + delivery oversight

  • Stakeholder alignment

  • Translating tech → business value

AI Strategy Sprints

2-3 weeks

For: Leaders who need a clear, actionable AI roadmap — fast — without endless analysis.

Outcome: A prioritized set of AI use cases with a defensible 90-day execution plan that your teams can run with confidence.

Typically includes:

  • 60–90 min intake call + targeted stakeholder mini-interviews

  • Inventory and scoring of use cases (by value, feasibility, risk, and alignment)

  • 90-day roadmap with phased initiatives and success metrics

  • Exec-ready briefing deck (6–10 slides) + implementation checklist

Workshops, Enablement & Speaking

For: Teams (technical or non-technical) who want to explore AI opportunities, build literacy, or align on next steps safely and productively.

Outcome: Shared understanding of high-potential use cases, practical adoption patterns, and team guidelines that stick.

  • Executive briefings

  • Leadership enablement workshops

  • Strategy offsites

  • Org readiness & cultural adoption training

  • Conference / keynote / panel talks

AI Assembly vs. Typical “AI Consultant”

Compared side by side

AI Assembly
Typical AI Influencer / Consultant
👤
Who you actually get
Direct, senior AI & technology leader with real-world Fortune 100 + IBM leadership experience.
Rarely — or never — led AI at senior level. Often ex–individual contributors or content creators
🎯
Decision scope
Partners with executives on AI strategy, investment decisions, operating model, and risk.
Rarely participated in C-suite decisions shaping AI strategy. Has theories, not track record.
⚙️
Focus of work
Business-driven AI adoption: growth, efficiency, capability building, and responsible use.
Forcing tools onto problems, rather than selecting the right tools for the solution
🧱
Vendor / stack position
100% tool-agnostic. No platform quota. No referral incentives. Your interests only.
Often biased toward preferred tools/platforms or whatever is currently trending.
📈
Outcomes
Defensible, high-confidence decisions that stand up to board and stakeholder scrutiny.
Ideas and inspiration, but few structured, defensible decisions at enterprise scale.
💰
Cost & overhead
Senior-level expertise without big-firm layers, overhead, or dependency model.
Either low-cost and low-experience — or expensive agencies where most of the fee goes to overhead, not senior talent

Hear feedback from others...

“It’s been a true privilege working under Annamaria, whose leadership style sets a high bar for what great management looks like. As a cross-functional leader, she has an incredible ability to connect diverse teams — engineering, product, operations, and customer success — and align everyone toward a common vision with clarity and purpose.”

— Kapil Rajyaguru, Principal Partner Solutions Architect, Microsoft

“Brought structure, high standards, and a supportive culture. She created an environment where our team felt valued, challenged, and empowered to grow. Under her leadership we consistently delivered at pace and to high quality.”

Adrian Campos, Generative AI Senior Delivery Consultant, IBM

"Exemplified what great leadership should look like — balanced, empathetic, and effective — and any team would be lucky to have her. [...] She instinctively understood the core of any technical or business problem presented and mentored the team through complex projects and difficult stakeholder discussions with clarity and composure.”

Vaisakhi Mishra, AI Engineer & Data Scientist, IBM

"Guided us to a highly successful year, driving digital transformation initiatives across all seven of our Enterprise clients with focus and clarity. Her ability to inspire, align, and deliver results makes her an exceptional leader that any organization would be fortunate to have.”

Gus Shahatit, Client Engineer, IBM

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