Scale AI across the enterprise — safely.
Pilots are easy; scaling AI across departments is not. We help leadership teams build the strategy, shared platform, governance and skills needed to turn isolated experiments into an enterprise capability.
Overview
Our Enterprise AI practice combines advisory and engineering. We assess AI maturity, define the target operating model and a portfolio of use cases, and stand up a shared AI platform — model access, data connectors, security, evaluation and cost management — that every team can build on.
We put governance in place early: acceptable-use policies, risk classification, model and vendor review, and alignment with emerging regulation and standards such as the EU AI Act and ISO/IEC 42001 — and we train your people so adoption sticks.
What you get with us.
AI strategy & roadmap
Maturity assessment, value cases and a sequenced portfolio of initiatives.
AI platform engineering
A secure, shared foundation for models, data, prompts, evaluation and cost control.
AI governance & risk
Policies, risk tiers, model inventories and controls aligned to regulation.
AI Center of Excellence
Operating model, roles and playbooks to scale delivery across business units.
FinOps for AI
Usage tracking, chargeback and optimization of model and GPU spend.
Adoption & training
Role-based enablement for executives, builders and everyday users.
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Learn moreReady to build what’s next?
Tell us about your project. Our consultants in Florida and Hyderabad will get back to you within one business day.