Services
Two practices. Two principals.
AI Enablement led by Bill Andreozzi. Talent Strategy led by Najat Andreozzi. Engage either practice independently, or run them together when the platform and the team need to scale in lockstep. Most engagements begin with a focused two-week assessment so we can show our work before you commit to anything bigger.
AI Enablement
Led by Bill Andreozzi
Ship AI to production without breaking what works.
For CIOs, CTOs, and C-suites who need AI in production — not in the lab.
AI strategy, architecture, and adoption built on real operating models — not demos. We scope the roadmap, build the architecture, and stand up the governance, then modernize the platform underneath so the team can actually run what we ship. Technical depth across Azure OpenAI, Anthropic Claude, Microsoft Copilot, Foundry, Fabric, LangChain, LlamaIndex, Semantic Kernel, and AWS Bedrock — covering RAG, agentic workflows, fine-tuned pipelines, and responsible-AI controls.
What we do
- AI strategy and production-adoption roadmaps
- RAG, agentic workflow, and LLM platform design
- AI-native SDLC and engineering productivity scaling
- Platform consolidation, legacy decomposition, and cloud cost optimization
- AI safety, governance, and human-in-the-loop controls
- Capital-raise and board narratives where AI is part of the story
Proof
142 → 20 microservices · 60% cloud cost reduction · $300M Series B supported
Book a call about AI EnablementTalent Strategy
Led by Najat Andreozzi
Build the team that gets you to the next round — and keep them.
For founders and CHROs at growth-stage companies scaling engineering, AI/ML, and executive ranks.
Modern talent strategy for growth-stage companies — identify, build, scale, retain. We source the candidates traditional pipelines miss, build the systems that turn hiring into a repeatable function, and design the comp, leveling, and retention programs that keep top performers after the offer is signed. Built from zero three times: ARPA-H, McKesson AI Lab, and McKinsey Leap.
What we do
- Identify — AI/ML executive and senior IC search across non-traditional pipelines (GitHub, arXiv, Hugging Face)
- Build — Zero-to-one recruiting function, hiring playbooks, interview loops, ATS implementation
- Scale — Hiring architecture and org design as headcount compounds
- Retain — Comp benchmarking, leveling frameworks, offer strategy, leadership-bench design
- Advise — Founder and C-suite partnership on workforce design and recruitment strategy
Proof
12 → 118 employees at ARPA-H · 30+ ML hires at 75% senior mix · 17 → 72 engineers in 24 months
Book a call about Talent StrategyNot sure which practice to start with?
Tell us about the most expensive problem on your roadmap. We'll tell you which practice to start with — or whether we're the right team at all.
Book a 20-min intro call