Technology, security, and AI advisory
AI systems that hold up in production
Data Wise Consulting is a senior advisory practice for mid-market organizations. We help leaders decide where AI belongs, architect it on the OpenAI platform, and secure the data and infrastructure underneath it.
What we do
Practical technology strategy, delivered by people who have run it
Cloud, on-premises, and hybrid environments.
AI strategy and readiness
Use case selection, cost models, governance, and a sequenced roadmap.
OpenAI solution architecture
Retrieval, structured output, tool calling, evaluation, and cost control.
Cybersecurity and advisory
Virtual CISO and CTO leadership, with AI systems treated as in-scope assets.
Data and infrastructure
Data architecture, identity, and platform foundations AI depends on.
Where value comes from
AI value depends on more than the model
Frontier models are now a commodity input. The difference between a pilot that impresses and a system that earns its budget sits in the layers around the model: the quality of retrieved context, the boundaries on what the system may act on, the evaluation that proves it works, and the operational discipline that keeps it working.
We treat model selection as one decision among many, and usually not the decisive one. Architecture, data access, and governance determine whether the same model produces a liability or a durable advantage.
How we approach AI engagementsCycle time
Work that took days moves to hours when retrieval and approval steps are designed rather than improvised.
Cost per transaction
Model routing, caching, and right-sized context turn unit economics into a managed line item.
Quality and consistency
Evaluation harnesses make output quality measurable before release and observable after it.
Risk posture
Data classification, access control, and audit trails keep AI systems inside the control environment.
Where we work
Industries and environments
Our work concentrates in organizations between roughly 200 and 5,000 employees, often with regulatory obligations, legacy systems that cannot be replaced on a project timeline, and data that cannot leave defined boundaries.
- Financial services and insurance
- Energy and critical infrastructure
- Healthcare and life sciences
- Manufacturing and industrial operations
- Professional and business services
- Public sector and regulated nonprofits
Ready to build a stronger technology foundation?
Tell us what you are trying to change, and we will tell you what it takes.
Get in touch