Data & AI Strategy
A plan you can actually build.
Overview
Most AI strategies are PowerPoint. Fifty slides of market trends, competitor logos, and a roadmap that assumes you have infinite budget and zero legacy systems. Then the consultants leave and your team stares at a document nobody knows how to execute. We do strategy differently. We start with what you actually have. Your data, your systems, your team, your constraints. Then we build a plan that your engineers can start executing the week we hand it over. Not the quarter. Not the year. The week.
What We Build
AI Readiness Assessment
Before you spend anything on AI, you need to know what your data can actually support. We audit your infrastructure, your data quality, and your organizational readiness. You get a clear picture of where you are. No sugarcoating. No inflated maturity scores to justify a bigger engagement.
Technical Roadmaps
We build roadmaps that engineers can follow, not just executives can present. Every phase has clear deliverables, dependencies, and infrastructure requirements. If we can't explain how it gets built, it doesn't go on the roadmap.
Data Governance and Architecture
Strategy without governance is just a wishlist. We design data governance frameworks and target architectures that balance control with speed. Who owns what, how it flows, how it's secured, and how your AI teams actually get access.
Use Case Prioritization
Every company has a hundred AI ideas. Most of them aren't worth building yet. We score use cases on data readiness, business impact, and technical feasibility. You invest in the ones that will actually work, not the ones that sound best in a board meeting.
How We Work
FOUR PHASES.
Discovery
We talk to your engineers, your data team, your business leaders, and your operations people. We look at your systems, your data, and your existing capabilities. We learn the real picture, not the org chart version.
Assessment
We evaluate your data maturity, infrastructure gaps, and organizational readiness. You get an honest score of where you are today across data quality, architecture, governance, and team capability.
Strategy
We build the roadmap. Prioritized use cases, target architecture, governance framework, and a phased plan with realistic timelines. Every recommendation comes with a reason and a path to execution.
Handoff
We don't throw a PDF over the wall. We walk your team through every recommendation. We answer every question. We make sure the people who have to build it understand why and how. If you want us to stay and build, we do that too.
Technologies
THE TOOLS BEHIND THE WORK.
Assessment & Discovery
dbt | Great Expectations | Monte Carlo | Atlan
Data Architecture
Snowflake | Databricks | BigQuery | Azure Synapse | dbt
AI & ML Platforms
OpenAI | Anthropic | Google Gemini | Azure OpenAI | Vertex AI | SageMaker | Hugging Face
Governance & Cataloging
Collibra | Alation | Apache Atlas | Unity Catalog
Industries
WHERE COMPLEXITY IS THE NORM.
Financial Services
Legacy platforms, fragmented data, and leadership teams asking the right questions. We build strategies that start with what you actually have.
Biotech & Life Sciences
Long R&D cycles, FDA requirements, and data scattered across labs, trials, and manufacturing. We build roadmaps that respect the pace and rigor your industry demands.
Manufacturing
Operational technology, ERP systems, and leadership teams pushing for predictive everything. We prioritize the use cases that your data can actually support today.
Consumer Packaged Goods
Fragmented retail data, distributor complexity, and pressure to forecast better. We build strategies that start with connecting what you have before layering on AI.
Frequently Asked
WHAT PEOPLE ASK BEFORE THEY BUILD.