ADVISORY
AI Consulting
For CDOs and CTOs who have seen enough AI demos and want production systems. We bridge the gap between experimental AI and enterprise-grade deployment with rigorous MLOps, governance, and ROI tracking.
WHAT IT IS
Enterprise AI that operates, not just demonstrates.
We design and deploy AI systems that integrate into your operational fabric — from ML-powered decision engines to LLM orchestration to computer vision pipelines — with a focus on production readiness, not proof-of-concept theater.
WHAT WE DELIVER
Deliverables, not decks.
AI Product Design
End-to-end design of AI-powered products from concept through production architecture.
Machine Learning Solutions
Custom ML model development, training, and deployment for classification, prediction, and optimization.
Predictive Analytics
Forecasting models for demand, revenue, risk, and operational performance.
AI for Operations
Intelligent automation of document processing, quality inspection, and supply chain optimization.
Intelligent Automation
LLM-powered workflow automation combining structured data with unstructured content understanding.
WHO IT'S FOR
Is this the right engagement for you?
INDUSTRIES
Banking, Insurance, Pharma, Technology
COMPANY SIZE
$200M+ revenue
THIS IS FOR YOU IF…
- →You have completed AI proofs of concept but none have reached production
- →Your data science team builds models but lacks engineering support for deployment
- →You want to leverage LLMs but need guidance on build vs. buy and security implications
HOW WE DELIVER
Engagement methodology
AI Readiness Assessment
Evaluate data maturity, infrastructure, and organizational readiness for AI.
Week 1–2
Use Case Prioritization
Identify and rank AI opportunities by business impact, feasibility, and data availability.
Week 3
Rapid POC
Build a working proof of concept for the top-priority use case in 3 weeks.
Week 4–6
Production Deployment
MLOps pipeline, monitoring, model governance, and production rollout.
Week 7–12
Scale & Optimize
Expand to additional use cases, retrain models, and optimize performance.
Ongoing
OUTCOMES
What our engagements deliver.
AI models deployed to production within 6 weeks (vs. industry average of 6+ months)
Prediction accuracy exceeding 92% on core business metrics
Annual operational savings of $2M+ through intelligent automation
CLIENT RESULTS
From engagement to outcome.
CHALLENGE
Clinical trial data synthesis required 4 full-time analysts working 3 months per trial.
APPROACH
Built an LLM-powered document extraction pipeline with human-in-the-loop validation.
OUTCOME
Processing time reduced by 80%. Analyst capacity freed for higher-value regulatory work.
Get an AI Readiness Assessment
Book a 30-minute call. We'll discuss your specific situation and outline a path forward.
Get an AI Readiness Assessment →