FAQs

  • Most AI programs focus on tools or technical deployment. Orient(ai)tion is about adoption: building literacy, aligning people and objectives, and prioritizing where AI efforts will have the most impact. We focus specifically on generative AI tools and the practical questions of when, why, and how to use them responsibly.

    Most programs teach tools. We help organizations build the shared foundations that make tools worth deploying.

  • Our services are designed for leaders, teams, and organizations who want to explore generative AI without getting swept up in hype, and especially organizations where AI use is already happening unevenly.

    We work with executives, managers, and employees across industries — anyone who needs to understand AI’s potential, align around strategy, and plan pilots or start searching for vendors.

  • Not at all. The goal of orient(ai)tion is to make AI accessible. We assume little to no technical background, focusing instead on frameworks, collaboration, and practical adoption.

    • AI Foundations are 60- to 120-minute virtual sessions that build shared literacy and help teams focus in on specific AI-related challenges.

    • The AI Lab offers one-day and two-day workshops to aligns leaders and employees around opportunities and priorities, stress-test and risk-asses ideas, and articulate an AI vision and specific roles.

    • AI Pilot (coming soon) is a four- to six-week guided project where we run a real pilot and create a roadmap for adoption.


      Each offering builds on the last, but they also stand alone depending on your needs.

  • No. orient(ai)tion is not about building or training custom models. We focus on identifying the workflows and tasks that can benefit from AI and match them with generative AI capabilities, rather than recommend, evaluate or set up specific tools.

  • Most teams aren’t struggling with some sort of access to AI; they’re struggling with inconsistency. When people experiment in silos without a shared definition of value, you get uneven quality, unclear risk, and fragmented customer experiences. Alignment makes experimentation useful: it turns scattered activity into priorities, guardrails, and use cases that have a bigger impact on the organization as a whole.

  • Success looks like shared understanding, clearer decisions, and a focused portfolio of use cases tied to outcomes you care about, along with the guardrails and next steps needed to implement responsibly.

  • Actually, it’s the opposite. Most AI projects fail — not because the technology doesn’t work, but because the organization isn’t aligned on why they’re using it or where it will have the most impact. Teams often waste months (and budgets) experimenting with tools that don’t fit workflows, don’t support business objectives, or even run counter to the company’s values — the very things that attract customers and employees.

    orient(ai)tion helps you avoid those traps. By starting with literacy, alignment, and small pilots, we ensure that your AI efforts are purposeful, grounded in strategy, and measured against outcomes that matter. It’s not wasted time; it’s the work that makes every subsequent investment smarter.

  • orient(ai)tion was created to help organizations make sense of AI with clarity and intention. Our approach is built on decades of human-centered design work and years of running workshops that consistently earn a 9+ Net Promoter Score. One participant described a recent session as “the most productive two days of the last five years,” and that level of impact is what we aim to bring to AI adoption.

    Our experience with AI is both studied and lived. We’ve explored its implications through ongoing research and reading, and we’ve seen it emerge inside real products and human-centered design projects over the past several years. Today, we’re actively supporting teams as they build AI literacy and readiness—developing frameworks, writing, and speaking publicly about responsible, intentional adoption.

    As orient(ai)tion evolves, we’re expanding our bench with select consultants from product, operations, brand strategy, coaching, and future forecasting to broaden the expertise available to clients. The tools may be new, but the work—creating clarity, aligning people, and supporting meaningful change—remains the same.

  • Yes. Policies often answer “what’s allowed,” but teams still need shared judgment about “what’s worth doing,” how workflows change, and what success looks like. We help teams translate policy into meaningful practice.

  • We don’t position AI as a replacement strategy, but one that helps organizations — and individuals in those organizations — unlock potential that they don’t have today. Our work focuses on responsible adoption that improves outcomes, reduces avoidable risk, helps companies grow, and supports people doing complex work.

  • A point of contact, clarity on the audience, and a rough sense of where AI is showing up today. We’ll help with the rest.