We combine management consulting rigor with defense-grade engineering to deliver enterprise AI programs that move from strategy to production — on time, at scale, with measurable outcomes.
Every engagement is led by our principal partner paired with a principal engineer. Strategy without execution is theater.
Board-level diagnostics, capability maturity assessments, and multi-year transformation roadmaps grounded in technical reality — not vendor slide decks.
Vendor-agnostic evaluation of foundation models against your data, latency, and cost constraints. Custom fine-tuning and RLHF pipelines for mission-critical domains.
GPU cluster architecture, inference serving at scale, data pipeline engineering, and CI/CD for ML — built for production, not proof-of-concept.
Multi-agent architectures, tool-use frameworks, and autonomous workflow systems. We designed the patterns the market is still discovering.
Talent strategy, upskilling programs, AI centers of excellence, and operating model redesign. Technology is 20% of the problem.
Adversarial robustness testing, model supply-chain security, compliance frameworks, and AI risk governance — built for regulated industries.
Deep technical due diligence. We instrument your stack, benchmark your data, and produce a capability maturity model with quantified ROI projections — not a 90-slide deck.
Reference architecture, model selection, infrastructure design, and build-vs-buy decisions. Every decision is backed by a technical trade study.
Embedded engineering teams build and deploy in 6-week sprints. We don't hand off slideware — we ship production systems with your teams, not at them.
Continuous improvement through A/B testing, cost optimization, model refresh cycles, and drift monitoring. The engagement doesn't end at launch.
Frontier model inference costs have dropped 62% year-over-year, making previously uneconomical use cases viable.
But only 12% report measurable ROI. The gap is execution, not technology.
Multi-agent architectures in software engineering deliver 4.7× productivity gains over single-model approaches.
The cost of frontier intelligence has fallen 240× in three years. Your AI strategy must be priced for 2027, not 2024.
The EU AI Act, US Executive Orders, and sector-specific rules in finance and healthcare. Compliance is now a design constraint, not an afterthought.
Designed and deployed a real-time fraud detection system processing 4.2M transactions/day with 99.7% detection rate and <0.1% false positive rate. Reduced fraud losses by $340M in year one.
Built a multi-modal foundation model for molecular property prediction, accelerating lead compound identification by 8×. Integrated into the client's existing computational chemistry pipeline with zero downtime.
Deployed a multi-agent system for global supply chain planning across 42 facilities. Reduced inventory carrying costs by 23% while improving on-time delivery from 87% to 96%.
Designed and deployed an LLM-based clinical decision support system serving 12,000+ physicians across 200 hospitals. Achieved 94% clinician satisfaction and 31% reduction in diagnostic errors in a controlled study.
We take on 8–12 engagements per year. Each one is led by a partner who has built and deployed ML systems at scale. The first conversation is a technical deep-dive, not a capabilities presentation.
We review every submission personally. Expect a response from phil@finishlinemsp.com within 24 hours. If your timeline is urgent, note it in the form.