Our Services
Advisory and implementation at the intersection of AI, process management, automation, and organizational transformation—grounded in research, proven in practice.
AI & Automation Strategy
From Evaluation to Deployment
AI adoption requires more than technology selection. We help leaders evaluate AI use cases, assess organizational readiness, design responsible deployment models, and build the governance structures that make AI sustainable. Our approach is informed by the FATE framework (Fairness, Accountability, Transparency, Ethics) and draws on real-world experience advising financial institutions and government agencies.
- AI use case identification and feasibility assessment
- FATE governance framework: Fairness, Accountability, Transparency, Ethics
- Deployment pattern design: in-the-loop vs. on-the-loop models
- Automation, augmentation, and workforce readiness strategy
Why This Matters Now
AI is transforming how organizations operate, decide, and compete. But most AI initiatives fail not because of technology—they fail because of unclear goals, poor governance, and organizational misalignment.
We bring the perspective of someone who teaches AI management at the graduate level (BIA 568, Stevens Institute) and advises enterprises on deploying it responsibly.
AI Needs Good Processes
AI and automation amplify whatever they're built on. If your processes are unclear, inconsistent, or undocumented, automation will scale those problems. Process excellence isn't just about efficiency—it's the foundation for successful AI deployment.
Process Excellence
Build Organizational Capability
We design and implement process management capabilities at enterprise scale. From establishing a Center of Excellence and governance frameworks to firm-wide capability rollout, training, and maturity assessment.
- Center of Excellence creation and organizational design
- Process governance standards and methodology frameworks
- Process analytics, monitoring, and performance measurement
- Firm-wide capability rollout, training, and maturity assessment
Decision Management & DMN
Automate Decisions with Confidence
We help organizations understand, document, and automate their critical business decisions using the Decision Model & Notation (DMN) standard. By separating decision logic from process logic, organizations gain transparency, auditability, and the ability to change rules without re-engineering processes.
- DMN education and organizational training programs
- Decision model design, documentation, and validation
- Decision automation implementation and advisory
- Compliance and regulatory decision modeling
Why DMN?
As AI takes on more decision-making roles, understanding which decisions are automated, how they work, and who is accountable becomes critical. DMN provides the governance layer that makes decision automation auditable, explainable, and maintainable.
Academic Rigor, Practical Impact
Our training programs draw on the same research-backed curriculum used in Stevens' graduate programs—adapted for professional audiences. Content is continuously updated to reflect the latest developments in AI, process mining, and automation technology.
Executive Education & Training
Build Your Team's Capability
We design and deliver tailored training programs on AI management, process excellence, and decision modeling. Programs range from executive briefings to multi-session workshops, built on 20+ years of teaching at the graduate level.
- AI literacy and strategy workshops for leadership teams
- BPM and process modeling training (BPMN, DMN)
- Keynote speaking on the Future of Work, AI, and digital transformation
- Custom curriculum development for corporate universities
Ready to Get Started?
Every engagement begins with understanding your specific challenges and goals.
Contact Us