✨ Enterprise AI Transformation

AI-augmented
Transformation.

Led by experts. Delivered at speed.

H-Prime is a new category of IT consulting. We combine senior executive leadership with AI-accelerated engineering teams to deliver enterprise-scale transformation outcomes - faster, leaner, and at materially lower cost than traditional consulting models.

3x
Faster Delivery
50%
Cost Reduction
95%
Success Rate

Why We Exist

Every enterprise adopted AI. Almost none of them architected for it.

Your developers are using copilots, code generators, and autonomous agents every day. But the AI has no idea what your company actually needs.

  • Product requirements sit in docs that never reach the model.
  • Engineering standards exist on paper but not in the context window.
  • Security and compliance rules are enforced in review - long after the AI already wrote the code.
  • Every developer prompts differently. Every output is a gamble.

“The gap isn't in the AI. It's in what the AI knows about you.”

You can't orchestrate AI on a foundation that doesn't exist.

Many enterprises are trying to adopt AI without the foundational Cloud data layer, governance, or operational discipline to support it. The result is fragmented data, ungoverned models, and AI investments that don't compound.

AI without a governed Cloud foundation is a house of cards.

Before AI can deliver enterprise value, you need the right data platform and governance backbone in place. A Databricks-powered Lakehouse with governance embedded from the start is not a nice-to-have - it is the prerequisite.

  • Data scattered across silos can never feed a coherent AI strategy.
  • Without governance, every model you deploy is a compliance risk.
  • Operational runbooks, SLAs, and heartbeats separate production AI from science experiments.

This isn't an incremental improvement.

It's the missing infrastructure layer for AI-native development.

The context window is the new control plane.

AI models are only as useful as the context they receive. Today, that context is fragmented, inconsistent, and manually assembled - if it exists at all.

  • Agents without context produce code that compiles but violates your architecture.
  • Teams without shared standards drift apart at the speed of AI.
  • Enterprises without orchestration accumulate technical and compliance debt silently.
  • The longer you wait, the harder it is to unwind.

We build the layer between your enterprise brain and your AI tools.

H-Prime AI exists to solve one problem: making sure every AI agent in your organization operates with the right context, every time.

We encode your global standards into a persistent, enforceable context layer.

We structure your team-level requirements into auto-loading PRPs.

We orchestrate what reaches the context window - and when.

We give you governance and visibility over every AI-assisted output.

We don't just advise on AI transformation.

We build the infrastructure that makes it reliable.

Proven at Enterprise Scale

We've done this before.

H-Prime leadership has driven AI and Cloud transformation at two of the world's most demanding enterprises. These aren't case studies - they're the systems we built.

Starbucks

Starbucks

DeepBrew

We drove the end-to-end design, development, and delivery of Starbucks' DeepBrew Recommendation Platform - the AI engine behind personalized experiences for 30 million users, generating 6 billion product recommendations annually.

We built the next-generation AI/ ML Cloud platform from the ground up with enterprise-grade security and safety guardrails baked in from day one - not bolted on after launch.

30M
Active Users Served
6B
Recommendations / Year
0-to-1
AI/ ML Platform Built
Day 1
Security Baked In
General Motors

General Motors

Insight Factory

We built the Insight Factory and served as GM's innovation lighthouse - creating the "Path to Production" framework from scratch that became the gold standard for shipping AI into production safely and at speed.

We authored and maintained Gold Standards of Engineering across Frontend, Backend, and Data Science - spanning Python, JavaScript, React, Angular, and Databricks - ensuring every team shipped code that met enterprise-grade quality, security, and stability bars.

300%
Fewer Prod Incidents
2.5X
Faster Innovation
200%
Dev Productivity Boost
0
Security Compromises

Our Offerings

Two complementary offerings that take enterprises from zero AI foundation to fully governed, context-aware AI operations.

How our offerings work together

Offering #1 (Node Zero) is a prerequisite and an optional add-on for Offering #2 (ECO). Enterprises that already have a mature AI ecosystem with governance fully baked in can proceed directly to ECO. Those who don't should start with Node Zero to build the foundation first - a minimum 180-day engagement subject to toolkit availability and internal compliance green signals. A strong foundation makes ECO exponentially more effective.

Offering #1

Node Zero in the Cloud

Before you can run AI at enterprise scale, you need the foundation. Node Zero establishes your Cloud AI/ ML layer using Databricks for the data and AI platform and Atlan for governance - the best combination to build a foundation that's AI-ready and governance-embedded from the get-go.

With over a decade of experience setting up foundational systems - operational workbooks, SOPs, SLAs, heartbeat monitoring, and production readiness frameworks - we don't just deploy technology. We build the operational muscle that makes it sustainable.

Who is this for?

Enterprises that don't yet have their foundational Cloud AI layer set up. If your data lives in silos, your governance is manual, and your teams are building AI on shaky ground - Node Zero is where you start.

What we deliver

A production-grade AI foundation built for durability, not demos.

Databricks
Lakehouse Architecture

Stand up a production-grade Databricks Lakehouse with medallion architecture, Unity Catalog, and Delta Lake - the backbone your AI/ ML workloads need.

Atlan
Data Governance from Day One

Deploy Atlan as your governance layer - automated data cataloging, lineage tracking, policy enforcement, and access controls baked in from the start, not bolted on later.

Operations
Operational Runbooks & SOPs

Battle-tested operational workbooks, standard operating procedures, escalation paths, and incident response playbooks - drawn from a decade-plus of standing up foundational systems.

Reliability
SLAs & Heartbeat Monitoring

Production-grade SLA definitions, heartbeat checks, alerting, and observability dashboards so your data and AI platform runs reliably from day one - not firefighting from day two.

Engagement Path

From zero to AI-ready in 180+ days

Timeline subject to toolkit availability and internal compliance approvals.

01
Assess & Architect

We assess your current cloud and data maturity, map stakeholder needs, and design a target-state architecture built on Databricks + Atlan - right-sized for your enterprise.

02
Build & Govern

Stand up the Lakehouse, configure Unity Catalog, deploy Atlan for governance, and establish the operational backbone - runbooks, SOPs, SLAs, and heartbeat monitoring.

03
Operationalize & Hand Off

Train your teams, execute knowledge transfer, validate SLA compliance, and hand over a fully operational AI-ready foundation with governance embedded at every layer.

Your AI journey starts with the right foundation.

Don't build AI on quicksand. Let us stand up the Databricks + Atlan foundation that makes everything else - including ECO - exponentially more effective.

Start Your Foundation Assessment

Our Team

Led by experienced transformation leaders, powered by AI-leveraging ninjas delivering 10X output with safety nets on

Pritesh Soni

CTO & Co-Founder

Pritesh Soni

Pritesh Soni is a founder and AI-augmented engineering transformation leader who blends deep hands-on execution with senior business judgment to deliver measurable enterprise outcomes. His work is rooted in a business-first philosophy: that software, data, and AI matter only insofar as they compound value for customers, operators, and decision-makers. Pritesh specializes in translating ambiguous business problems into clear operating models where human leadership is amplified by AI-accelerated analysis, engineering, and delivery.

Across his career, Pritesh has led multiple 0-to-1 and scale journeys, helping companies such as Skellam AI and Locus.sh build AI-ready platforms, mature engineering disciplines, and outcome-driven delivery systems. Previously, as a Strategic Thought Leader at EXL, he helped design and execute AI-led transformation programs - strengthening data engineering foundations, operationalizing machine learning, and enabling AI-driven revenue and productivity gains for global enterprises.

At H-Prime, Pritesh brings a builder-led, AI-augmented approach - combining leadership, ownership, and accountability with a relentless focus on clarity, user experience, and quantified impact. His leadership philosophy centers on humility, inclusiveness, continuous learning, and the belief that empowered people, equipped with AI leverage, create durable transformation.

AI-Augmented Delivery Force

The H-Prime Ninjas

Our ninjas are ECO-trained engineers and architects who use AI as a force multiplier - not a crutch. They deliver at 10X velocity while keeping enterprise guardrails, compliance, and quality standards firmly in place.

Deep expertise in foundational platforms like Databricks and Atlan, combined with SRE discipline for proper instrumentation, heartbeats, operational runbooks, and SLA management. Every ninja is adept across leading agentic tools - Claude, ChatGPT, Copilot, and autonomous coding agents - turning AI capability into governed enterprise outcomes.

Databricks & Lakehouse

Standing up enterprise-grade Databricks environments, medallion architectures, Unity Catalog, and the data foundation that powers AI/ ML workloads.

Atlan & Data Governance

Deploying governance frameworks with automated cataloging, lineage tracking, policy enforcement, and access controls - baked in from the start.

SRE & Operational Excellence

Proper instrumentation, heartbeat monitoring, SLA tracking, operational runbooks, SOPs, and escalation paths - ensuring production systems run reliably.

Agentic AI Tools

Adept across modern agentic platforms - Claude, ChatGPT, Copilot, and autonomous coding agents - using AI as a force multiplier across every workflow.

Get In Touch

Ready to transform your enterprise with AI? Let's start a conversation.

Contact Information

Why Work With Us?

  • Expert-led consulting
  • AI-accelerated delivery
  • Enterprise-scale results
  • Cost-effective solutions

Send Us a Message