AI-Ready Enterprise Data Foundations Built to Scale
AI is only as good as the systems beneath it. For 20+ years, itD has built the unified data foundations and modern platform architecture that the world’s most demanding enterprises run their AI programs on, and turned them into revenue.
and more
Three situations we’re brought in to fix
Most AI programs don’t stall on ambition. They stall on the data underneath. These are the conversations that start an engagement.
“We just acquired a company and now we have three of everything.”
Duplicate systems, conflicting customer records, no single source of truth. We rationalize the sprawl into one governed foundation, without stopping the business.
“Our AI pilots work in the demo, but they never make it to production.”
Prototypes can’t scale because the data pipelines and platform aren’t built for it. We build the production-grade foundation that gets AI out of the lab.
“Our reporting is always a week behind the decision we needed it for.”
Multi-million-dollar calls made on stale reports. We build the real-time pipelines that put trustworthy data in front of decisions as they happen.
Fragmented data is costing you the AI advantage
The primary bottleneck to enterprise AI isn’t ambition; it’s the architecture underneath. Without a trusted, unified view of your operations, high-stakes decisions stay trapped in slow, manual workflows.
Data scattered across the business
Models trained on siloed, disconnected data produce unreliable output. Executive confidence erodes before AI can prove its ROI.
Acquisitions you never integrated
Parallel platforms from years of M&A were never rationalized. You can’t layer autonomous capabilities on top of crippling technical debt.
Pilots that never reach production
Isolated prototypes work in the demo. They can’t scale without production-grade data structure and integration strategy behind them.
Decisions running on stale data
Legacy analytics can’t feed the real-time pipelines AI demands. Leaders make major calls on last week’s report, not live predictive models.
Embedded engineering, where traditional consulting falls short
Traditional advisory tosses requirements over a wall, which breaks under the real-world complexity of enterprise AI.
itD embeds engineering teams directly into your operations. We absorb your institutional nuance and legacy constraints, and push prototypes to production in weeks rather than waiting months for brittle solutions.
We unified 40+ enterprise systems into a single Customer 360 for a global technology company, consolidating a view of 20M+ customers into one trustworthy foundation their AI programs now run on.
Most enterprises know where they are. Few know the path forward.
AI readiness isn’t a switch; it’s a progression. Knowing which stage you’re in tells you exactly what to build next.
Fragmented
Data lives in silos across legacy systems and acquisitions. No single source of truth. AI is impossible to trust at scale.
Consolidated
Core systems are integrated into unified, governed views. Reporting is reliable, but still largely backward-looking.
Activated
Real-time pipelines feed a true Customer 360. Data is treated as a product. Models run on live, trustworthy inputs.
AI-Ready
The foundation supports autonomous workflows and scaled AI across the enterprise. New capability ships in weeks, not quarters.
Architecting the enterprise AI foundation
From Customer 360 architecture to platform modernization, itD delivers embedded engineering teams with proven delivery programs, not requirements tossed over a wall.
Data architecture & Customer 360
We unify disparate systems into governed, trustworthy views that give AI a reliable foundation to run on.
- Single source of truthConsolidate major operational systems (CRM, ERP, support) into one governed view your models can trust.
- Data as a productEnterprise datasets with dedicated owners, defined SLAs, and quality standards that don’t degrade over time.
- Pipeline-to-decision visibilityReal-time pipeline access for proactive cross-sell, renewal, and operational AI, not batch reporting.
Platform integration & modernization
We migrate legacy environments and build scalable architectures that support real-time decision-making at enterprise scale.
- M&A platform rationalizationCollapse sprawling SaaS and acquisition-era platforms into a coherent, governed architecture.
- Integration architectureOrchestrate system connectivity, including proprietary tooling like SmartConX, to close data gaps that block AI.
- Prototype to productionTurn one-off local builds into standardized, scalable enterprise features that ship in weeks, not quarters.
AI is only as good as the systems beneath it. Customer 360, unified pipelines, and modern platform architecture aren’t features you add after AI is deployed. They’re the prerequisites.
AI readiness starts with the data layer. We build it.
Enterprise experience, at your scale.
itD works with Chief Data Officers, CTOs, and VP Engineering leaders to build the data and platform infrastructure that makes enterprise AI programs executable, not just fundable.
- Build a Customer 360 and unified pipelines your models can actually trust, so AI programs stop getting defunded because the data underneath is unreliable
- Rationalize M&A-driven platform sprawl without stopping the business or delaying roadmaps already in flight
- Move AI programs from pilot to production in weeks, with embedded teams who absorb your institutional complexity
- Go into board reviews with a defensible answer to: how much technical debt is blocking our AI advantage, and what is it costing us
Find out exactly where your foundation stands.
Start free and self-serve, or bring us a harder problem. Either way, you’ll leave knowing your next move.
Questions? Contact our experts today.
Questions?
Contact our experts today.
Locations
- San Jose, California (HQ)
- San Francisco, California
- Austin, Texas
- Wichita, Kansas
- Hyderabad, India
- Krakow, Poland
- Guadalajara, Mexico
- London, UK
- Cork, Ireland
