Three moves ahead.
We bring senior practitioners and our own AI products to data-intensive enterprises. The recommendations we make are the recommendations we can build.
Strategy that survives contact with engineering.
Four practices, one team. We connect the boardroom decision to the system that delivers it — so strategy, architecture, data, and security stay aligned from thesis to production.
Strategy & Operating Model
Where to compete, what to build, and how to organize for it — grounded in what your systems can actually support.
- Growth & digital strategy with a defensible thesis
- Target operating model & capability mapping
- Investment cases the board will fund
Enterprise Architecture
Reference architectures, platform strategy, and modernization roadmaps written to be built, not framed.
- Current-state assessment & target architecture
- Cloud, data platform & integration design
- Modernization sequencing with risk-managed cutover
Data & AI
From data foundations to governed, production-grade AI — including products we build ourselves.
- Data governance, quality & lineage
- AI use-case selection, value & risk framing
- Deployment with evaluation & guardrails
Security, Risk & Compliance
Posture, evidence, and audit-readiness for regulated, data-intensive environments.
- Security architecture & control mapping
- Evidence & chain-of-custody by design
- CJIS · HIPAA · PCI · NIST · SOC 2 alignment
We don’t just advise on AI. We ship it.
Our studio builds proprietary AI products for the enterprises we advise. SHAIDE HUNT is the first — an AI-orchestrated platform for security investigation, evidence, and compliance that sits on top of the SIEM, EDR, and SOAR you already run.
Investigation, on autopilot until it isn’t.
Policy-aware AI triage auto-resolves routine alerts and routes the ones that matter — with evidence already attached.
Court-admissible evidence by default.
Every artifact hashed (SHA-256), signed, NTP-timestamped, and stored WORM. Chain of custody is the default, not a toggle.
Reports your auditor will accept.
CJIS, HIPAA, PCI, and NIST control mappings ship pre-built. Generate the artifact, not the slide deck.
The disciplined middle.
Most data programs fail not at strategy, and not at execution — but at the convergence between them. Strategy is direction. Execution is motion. Capability-based planning is the engine that makes them move the same way — and the artifact set we deliver makes it operational.
Capability Map
What the organization must be able to do — domains, capabilities, sub-capabilities. A stable noun set, independent of org chart or tool.
Maturity Heatmap
Current state and target state per capability. Honestly assessed, scored consistently, evidenced by artifacts and operations data.
Gap-to-Impact
Which gaps matter most for which outcomes. Strategic value × maturity gap × feasibility = priority.
Sequenced Roadmap
What gets built first, by whom, with what dependencies. Owned by name, scoped to capacity, measured by capability uplift.
We don’t invent a new framework. We do the synthesis the others ask for.
Each established framework gets one piece right. We integrate them into a single delivered method — capability decomposition, maturity-driven prioritization, operating-model alignment, architecture cascade, and coverage discipline.
Composed by design. Elite by outcome.
They didn’t hand us a deck and leave. The architecture they recommended was running in our environment inside the engagement — with the evidence to prove it held up.
Built for data-intensive, regulated enterprises.
Healthcare & Life Sciences
HIPAA-aligned data platforms, AI governance, and evidence-grade security for clinical and research operations.
Banking & Financial Services
Modernization, risk architecture, and PCI/SOC 2-ready controls for institutions under real scrutiny.
Public Sector & Justice
CJIS-compliant systems, chain-of-custody evidence, and AI adoption with auditability built in.
Insurance
Data strategy, underwriting modernization, and AI use-case selection grounded in measurable value.
Retail & Consumer
Operating-model design and data foundations that connect customer signal to operational decisions.
Technology & Platforms
Enterprise architecture and platform strategy for teams scaling data products responsibly.
Perspectives from the Strategenix Studio.
Field notes on strategy, architecture, and building AI that holds up under audit.
Evidence is the missing layer in your AI stack
Why most enterprise AI deployments pass the demo and fail the audit — and the control layer that fixes it.
Read the brief →The recommendation you can build
How pairing strategy with an in-house studio changes which roadmaps actually survive into production.
Read the brief →Chain of custody as a default, not a feature
What it takes to make every artifact in your SOC court-admissible without slowing analysts down.
Read the brief →An independent firm that builds what it recommends.
Strategenix is a boutique strategy and enterprise architecture firm with an in-house AI studio. We were built on a simple conviction: advice and engineering shouldn’t live in different buildings.
Our partners are senior practitioners who have run the systems, not just diagrammed them. When we recommend a direction, we’ve usually already built a version of it — which is why our clients trust the roadmap.
Let’s get three moves ahead.
Book a 30-minute working session with a partner. No pitch deck — we’ll frame the decision you’re facing and show you what we’d build.
Book a 30-minute working session →