AI & Data Activation
Unlock the power of your data with intelligent automation and advanced analytics that drive informed decision-making and accelerate mission success.
Go-Live Rate
Across federal and healthcare deployments
Certifications
Held across our employee-owner team
Certifications Are Architectural
Architecture expertise is our differentiator
Employee-Owned
Every outcome is personal
Our Perspective
Why we are different.
They lead with the model, the automation, the demo. The data question gets deferred — or never asked. The result is AI built on top of fragmented, ungoverned, poorly modeled data that produces outputs no auditor, no program manager, and no mission leader can trust.
We lead with data architecture. We model, govern, and validate the foundation before we activate AI on top of it. When AI enters the picture, it enters as a delivery accelerator inside our IS Design framework — not as a shortcut around the hard work.
IS Design — Our Integrated Delivery Framework weaves AI prototyping into human-centered design and agile delivery as a single, governed process — not a separate AI initiative bolted onto your program. The result is a 98% go-live rate across highly regulated environments.
What We Do
Capability Areas
Five practice areas, each built on the premise that data architecture comes first. AI is the accelerator. Governance is what makes it last.
Data Architecture and Modeling
Every AI initiative we have seen fail in a regulated environment failed for the same reason: the data was not ready. Not because the data did not exist — it existed in silos, in legacy systems, in formats never designed to be queried, analyzed, or trusted at scale.
We design data architectures from the mission backward. What decisions need to be made? What data supports them? How does that data need to be structured, governed, and maintained to produce outputs that a program manager, a CIO, or an auditor can stand behind? That question comes before any model, any pipeline, any dashboard.
Analytics and Reporting
Data that cannot be understood by the people who need to act on it is not an asset — it is overhead. We design analytics and reporting experiences around the decision-makers who use them, not around the technical preferences of the people who build them.
In regulated environments, reporting also carries compliance weight. We build reporting systems that serve operational clarity and audit requirements at the same time — because in these environments, you rarely get to choose one or the other.
Data Governance and Quality
Governance is not a policy document — it is a set of enforced practices that determine whether the data your organization relies on can actually be trusted. In regulated environments, untrusted data is a compliance liability, not just a technical inconvenience.
We build governance frameworks that define ownership, enforce quality standards, and create the audit trails that federal and regulated programs require. Governance we design is operational from day one — not aspirational.
Agentic AI Governance
Agentic AI systems take action on behalf of your mission and in regulated environments, action requires accountability.
We design the authorization frameworks, human-in-the-loop checkpoints, and audit infrastructure that keep your agency in control of what its agents do. When your IG asks what happened and why, you will have an answer.
Data Integration and Pipeline Engineering
Most regulated organizations do not have a data problem — they have a data fragmentation problem. The data exists. It lives in legacy systems, in agency silos, in formats that were never designed to interoperate. The challenge is not collection. It is connection, translation, and trust.
We design integration architectures and data pipelines that connect fragmented sources into a coherent, queryable foundation. Every pipeline we build accounts for lineage, access control, transformation logic, and the operational monitoring required to know when something breaks before a program manager does.
Technology
How We Do It
We build on proven enterprise platforms — not bespoke stacks that only one team can maintain. Every technology choice is made to reduce long-term risk and increase mission sustainability.
Agentforce
We deploy and govern Salesforce Agentforce in regulated environments — grounding AI agents in trusted, well-modeled data so outputs are auditable, explainable, and mission-ready.
Tableau
Mission-relevant analytics and decision-support dashboards built to surface the right data for the right stakeholders — with the governance to keep it trustworthy over time.
MuleSoft
Integration architecture that connects legacy systems, modern platforms, and external data sources through a governed API layer — the data plumbing AI depends on to function correctly.
AWS
Cloud infrastructure designed for FedRAMP, FISMA, and ATO requirements — scalable, secure, and built to meet the compliance standards that federal and regulated AI deployments demand.
Next Step
Let's talk about your data.
Not a pitch. A conversation about where your data is, what state it's in, and what it would take to activate it safely in a regulated environment.