NIST AI RMF
Govern, Map, Measure, and Manage functions guide AI risk decisions and operating reviews.
Dallas managed intelligence intake
AI Readiness Assessment for governed adoption.
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. No tool demo, no obligation.
Use-case priority
Rank the workflows where AI has a real operating case instead of chasing a tool demo.
Data boundaries
Identify sensitive systems, approval points, and governance constraints before rollout.
Managed path
Leave with a practical recommendation for secure adoption, automation, training, or managed AI operations.
Routed to the ITECS team by email
Submissions go to ITECS for review. If timing is urgent, call (214) 444-7884 or use the architect contact path.
Existing Proof, Carried Forward
Trusted by Dallas-Fort Worth organizations.
Platform Partners
Built across the platforms enterprise teams already trust.
Microsoft, Azure, Copilot, Claude, OpenAI, and Sophos remain part of the approved proof layer.
Certifications & Governance
Security and compliance posture visible from the first scroll.
Only confirmed ITECS credentials and platform relationships are shown.
Security, Compliance & Responsible AI
Governed AI with the controls enterprise buyers expect.
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
SOC 2 Type II
Security and operational control expectations inform monitoring, access, and change-management practices.
ISO 27001
Information-security management principles shape policy, asset, vendor, and evidence handling.
CMMC
Cybersecurity maturity controls support clients with defense, manufacturing, and regulated supply-chain exposure.
HIPAA / BAA
Healthcare workflows are planned around protected-health-information handling and Business Associate Agreement requirements.
Data residency planning
Data location, vendor processing paths, and tenant boundaries are documented before any production workflow is approved.
Model governance
Approved models, prompt versions, retrieval sources, quality thresholds, and review cadence are owned after launch.
Human-in-the-loop
Sensitive recommendations route to named human owners before financial, customer-facing, legal, or regulated actions occur.
Audit and evidence trails
Agent actions, approvals, exceptions, and change history are captured so executives can defend the program.