AI Strategy
Define where AI should create value, where to invest, how to govern, and how to organize for durable impact.
Informed by enterprise AI leadership, board-level decision-making, and real-world AI operating experience.
Explore serviceIndependent AI advisory · New York and worldwide
Sound judgment.
Lasting AI capability.
We help enterprises, institutions, and growing companies around the world decide where AI matters, put it to work, and build the capability to sustain it.
Our partners have led AI and research at
- New York Life
- S&P Global Market Intelligence
- IBM
- Wayfair
- Columbia University
Prior roles of the partners; not client relationships.
- 4
- continents of operating AI experience: North America, Europe, Asia, and Africa
- 4
- working languages: English, French, Japanese, Russian
- Published
- researchers in machine learning and quantitative finance
Experience applied to your priorities.
From the decisions that shape your AI agenda to the capabilities that make it work.
AI Industrialization
Industrialize AI through Fractional AI Leadership or project-based mandates that move priority initiatives from strategy to production.
We help clients build the operating models, delivery discipline, platforms, governance, and execution capacity required to sustain AI at scale.
Explore serviceAI Fluency
Equip boards, executives, business leaders, and teams to understand, adopt, and lead AI responsibly.
Built on university teaching, executive leadership, and hands-on experience translating AI into business practice.
Explore serviceNeed deeper evidence for a strategic AI decision? Commission focused research around a technology, market, competitor, capability, or investment question.
AI ResearchWho we serve
One standard of advice, applied to your context.
We work with organizations that face consequential AI decisions, whatever their size and wherever they operate.
Enterprises
Public and private companies deciding where to invest in AI, how to govern it, and how to move from pilots to production.
Institutions
Global and private institutions building AI strategy, governance, and capability for their mission and the people they serve.
Mid-sized companies
Growing companies that need senior AI judgment without building an AI department first.
Global markets
Organizations in Africa, Asia, the Middle East, Latin America, and Europe shaping AI around their own markets, rules, and talent.
Investors and private equity: AI due diligence and portfolio value creation.Discuss an investment
Insights & Publications
Independent perspectives. Research behind the practice.
Governance as the cornerstone of AI success in the enterprise
Enterprise AI is moving from single prompts to long-running systems. That makes governance an architectural job, enforced at runtime, not a policy document.
Read perspectiveAI Is Becoming a Portfolio, Not a Project
Treating AI as a set of projects produces a museum of pilots. Treating it as a managed portfolio produces compounding advantage.
Read perspectiveAI Sovereignty and the Emerging-Markets Opportunity
The leapfrog thesis is real, but it is not automatic. It depends on strategy fit to local infrastructure, economics, and institutions.
Read perspectiveExplore selected academic work on machine learning, speech and language, streaming analytics, and financial risk.
Academic publicationsThe Albius approach
Research-informed.
Enterprise-tested.
Our work connects rigorous analysis with the realities of delivery, governance, and organizational change.
The firm behind the advice01
Start with the decision
Clarify the business objective, the choices to make, and the evidence needed to move forward.
02
Connect strategy with execution
Bring investment, technology, operating responsibilities, and people into one coherent approach.
03
Build capability that lasts
Establish ownership, transfer knowledge, and put the measures in place to sustain improvement.
Working with us
How an engagement starts
- 01
A conversation with a partner.
30–45 minutes on the decision in front of you, in person or by video. No charge.
- 02
A written proposal.
Objectives, deliverables, the partners involved, and timing, within five business days.
- 03
Agreement and kickoff.
A statement of work and mutual NDA. Work usually starts within two to three weeks, on site, remotely, or both.
Every engagement is principal-led, scoped in writing before work starts, and ends with the capability in your team’s hands, wherever your team is.
Bring clarity to your next AI decision.
Tell us what your organization needs to accomplish. We’ll start with the decision in front of you.