Overview
Bennett Data Science partners with Fortune‑grade companies to define, build, and operationalize AI systems that create demonstrable financial impact. From expanding margin to unlocking new revenue, every engagement is architected for clarity, trust, and measurable ROI—never complexity for its own sake.
Strategic AI Advisory
Align every dollar of AI spend to enterprise value
What We Deliver
Executive Outcome
C‑suite working sessions to crystallize high‑ROI use cases
Clear charter and funding rationale
Portfolio road‑mapping & value scoring
Investment ranked by EBITDA lift and risk
Org‑readiness & change‑management blueprints
Faster adoption; lower cultural friction
Result: Leadership gains a 24‑month AI roadmap tied to revenue, cost, and risk KPIs.
Custom AI Solutions
Tailored models that solve profit‑critical problems—at scale
Core solution domains:
- Customer Growth – segmentation, next‑best action, dynamic pricing
- Revenue Optimization – recommendation engines, offer ranking
- Operational Excellence – demand forecasting, workforce scheduling
- Risk Mitigation – fraud, credit & compliance modeling
Impact examples: 4× ticket‑review throughput for a Blackstone portfolio company; 15 % take‑rate uplift for Nordstrom’s Trunk Club.
LLM & Retrieval‑Augmented Generation (RAG)
Enterprise‑grade language models—secure, explainable, and on your data
- Proprietary‑data fine‑tuning & guard‑railed prompt engineering
- RAG pipelines that cite sources—ideal for regulated workflows
- AI assistants for legal, customer support, and knowledge management
Outcome: Reduce search & drafting time by up to 80 % while meeting audit standards.
Risk Modeling & Anomaly Detection
Precision analytics when the downside is seven figures
- Real‑time anomaly flags, explainable scoring, regulator‑ready logging
- Financial, operational, and cyber‑risk use cases
- Dashboards that translate technical output into business action
Outcome: 50 % reduction in incident‑related losses for utility and fintech clients.
Customer & Product Intelligence
From hindsight reporting to predictive foresight
- LTV & cohort frameworks you can act on tomorrow
- Churn‑and‑retention models tied directly to revenue attribution
- SKU affinity and price‑elasticity insights for merchandising & R&D
Outcome: Marketing and product teams make allocation calls in hours, not quarters.
MLOps & AI Infrastructure
Build once, deploy everywhere—safely
- CI/CD for models: versioning, rollback, automated testing
- Performance & drift dashboards for 24/7 governance
- Compliance artefacts—audit logs, lineage, and PII controls baked in
Outcome: Deployment cycles cut from months to days; audit prep reduced from weeks to hours.
Data Infrastructure & Visualization
From 30‑table chaos to one source of truth
- Modern cloud warehouse architecture (Snowflake, BigQuery, Databricks)
- Clean, shareable schemas that serve both BI and ML use cases
- Executive dashboards & real‑time visualizations for every line of business
Outcome: ‑90 % analyst time on reporting and a unified KPI framework company‑wide.
Discover What’s Possible
Ready to translate AI into earnings‑per‑share? Schedule a Strategic Briefing with Bennett Data Science and see how we deliver 3–5× ROI engagements for enterprise clients.