NIST AI RMF
Govern, Map, Measure, and Manage functions guide AI risk decisions and operating reviews.
Dallas managed intelligence intake
A short intake for 10-300 employee organizations that want a practical path into AI without guessing at platforms, exposing sensitive data, or funding work that operations cannot support. This form is a no-cost intake, not the paid AI Readiness Assessment deliverable. The formal assessment is currently published at $6,500 and begins only after written scope approval.
Rank the workflows where AI has a real operating case instead of chasing a tool demo.
Identify sensitive systems, approval points, and governance constraints before rollout.
Leave with a practical recommendation for secure adoption, automation, training, or managed AI operations.
Submissions go to ITECS for review. If timing is urgent, call (214) 444-7884 or use the direct contact path.
Published historical case studies
Logos identify organizations covered by the historical case-study summaries linked on this site; they do not imply a current engagement, endorsement, or AI-specific result.
Platforms we build on
Microsoft, Azure, Copilot, Claude, OpenAI, and Sophos are among the platforms ITECS evaluates, configures, and supports. Logos do not imply a formal partnership unless one is stated separately.
Security, Compliance & Responsible AI
ITECS plans AI around identity, data boundaries, human review, auditability, and the same security operations discipline used for managed IT and cybersecurity clients.
Framework alignment
Govern, Map, Measure, and Manage functions guide AI risk decisions and operating reviews.
This attestation applies only to ITECS Promus managed cloud hosting, not to the MSP or AI practice as a whole.
ITECS can help clients prepare for CMMC requirements; readiness support is not an ITECS certification.
Healthcare workflows are planned around protected-health-information handling and Business Associate Agreement requirements.
Data location, vendor processing paths, and tenant boundaries are documented before any production workflow is approved.
Approved models, prompt versions, retrieval sources, quality thresholds, and review cadence are owned after launch.
Sensitive recommendations route to named human owners before financial, customer-facing, legal, or regulated actions occur.
Agent actions, approvals, exceptions, and change history are captured so executives can defend the program.