Practical AI strategy, architecture, and governance. Build for real production, not demos.
For startups, scale-ups, and enterprise.
Book a CallAI that works starts with knowing where it fits. Understand how your business works, find where AI delivers real value, and build toward long-term goals. This means assessing technical feasibility, data readiness, and organizational capacity before recommending any AI investment.
What to expect: A prioritized AI roadmap with validated use cases, ROI assumptions, risk flags, and an execution plan.
Start with business and customer needs and align technology to objectives. Map current architecture, data flows, and dependencies. Identify quick wins, address technical debt, maintain security and performance, and build toward a scalable future.
What to expect: A concrete target architecture, migration steps, and clear trade-offs for security and performance are included by default.
As AI handles critical decisions in finance, operations, and people management, trust isn't enough. You need systems that verify outputs, catch drift, and demonstrate accountability.
What to expect: Evaluation pipelines, auditability, drift detection, and ownership models that stand up to scrutiny.
A structured philosophical approach to improving decision quality when the path forward isn't clear. This coaching focuses on how you frame problems, evaluate trade-offs, and act with clarity under pressure without creating dependency on external advice.
Assess
Trade-off analysis, two-way door decisions, irreversibility, and proper risk calibration.
Develop
Problem framing, separating signal from noise, shaping viable options when information is incomplete.
Apply
Operating calmly without certainty, sustaining performance through prolonged stress, recovering from setbacks.
Own
Building better instincts through reflection, feedback loops, and pattern recognition across decisions.
What to expect: Empowerment through structured thinking, not dependency on outside advice.
Testimonials
"Dale brings a rigorous, high-bar standard to Engineering and AI. His curiosity for emerging tech is balanced by a relentless focus on customer outcomes. His approach goes beyond theory—fundamentally focused on execution, bridging the gap between AI strategy and reality."
"Working with Dale fundamentally changed how I approach decisions under uncertainty. His coaching gave me clarity, structure, and confidence I still draw on long after our work together."
Dale Thoma
20+ years across defence, startups, and Amazon. Engineering leadership, applied science, product development. Background in distributed systems, automation and intelligent systems, data platforms at scale, and decision-making under uncertainty. Technologist and business leader who connects strategy to execution.
12+ years
7+ years
Book a free 30-minute consultation to discuss your AI implementation needs.
Book a Call contact@dalethoma.com