Governance
Teams adopt tools faster than leadership can set policies.
ITECS defines approved use cases, data rules, human review paths, and operating ownership before AI spreads.
AI Training
ITECS trains Dallas teams on ChatGPT, Claude, Gemini, and Microsoft Copilot through role-specific workshops and Guided Build Sessions. We plan one real workflow, build a working agent in your project folder, and teach your people to test, maintain, and extend it.
Guided Build Sessions are build-together, not lecture. We map a workflow with your team, let the agent test the plan, build it live in your own project folder, and run it against real work in the Claude or ChatGPT desktop app. You leave with the working agent, its written workflow, organized reference files, and the know-how to maintain it.
The Stakes
Most organizations do not need another disconnected AI experiment. They need a managed operating model that tells people what is approved, where data can go, which workflows deserve investment, and who owns reliability after launch.
ITECS Position
Managed Intelligence applies ITECS's 24-year managed IT and cybersecurity operating model to AI systems, prompts, agents, connectors, and employee adoption.
Teams adopt tools faster than leadership can set policies.
ITECS defines approved use cases, data rules, human review paths, and operating ownership before AI spreads.
Sensitive data moves into public prompts, unmanaged plugins, and disconnected workspaces.
ITECS brings managed-IT discipline to access, identity, data handling, and vendor selection.
AI experiments consume subscriptions and meetings without a measurable operating case.
ITECS starts with workflows, cost of delay, and measurable outcomes before recommending build work.
Useful pilots stall when they have to connect with Microsoft 365, CRM, service, or finance systems.
ITECS designs automation around the systems, permissions, approvals, and support model already in place.
Capabilities
We plan the workflow with your team and state exactly what the agent should do, which reference files it may use, and where it must stop.
The agent interrogates the plan and asks questions until the steps, inputs, decisions, and approval boundaries are clear.
We assemble the agent live on your machine, in your folder, with only the reference files the workflow actually needs.
We run the agent against real work during the session, review the output together, and make sure your people understand the method well enough to repeat it.
Guided Agent Build
Guided Build Sessions are build-together working sessions, not lectures. We plan one workflow with your team, build the agent live in your project folder, and test it against real work so your people can maintain and extend it.
What You Keep
Where It Runs
Claude or ChatGPT desktop app
Your project folder and reference files
The workflow your team runs every week
Ways to Engage
01
One workflow and one working agent. The usual starting point.
02
A discounted block of sessions when you already know there is more than one workflow.
03
Hours on the books, drawn down as needed, with no pressure to consume them on a schedule.
04
One balance that multiple departments can draw from, so finance funds the work once.
05
A half-day, onsite or remote session to align stakeholders on funded use cases and AI governance rules.
Security
Guided Builds use the files, permissions, and business work your team controls. ITECS brings 24+ years of managed IT and cybersecurity experience to the workspace, workflow boundaries, and human review process.
Engagement Targets
Illustrative targets to baseline and validate during discovery — not reported client results or performance guarantees.
FAQ
ITECS offers single guided-build sessions, discounted session packs, prepaid-hour retainers, shared session banks, and half-day executive briefings. Pricing depends on team size, workflow complexity, tools, and whether delivery is onsite or remote. Prepaid retainer hours have no minimum monthly usage and no expiration date.
No. Our training is designed for non-technical staff — sales reps, customer support agents, HR managers, accountants, and office admins. If they can use email, they can learn to use AI effectively.
We write the workflow down, let the agent question the plan until the instructions are clear, build the agent live in your project folder, and test it against real work with your team watching. The goal is one working workflow and a team that understands how to run it again.
You keep the working agent in your own project folder, the plain-language workflow specification it was built from, and the organized reference files it uses. Your team also sees the method end to end so it can maintain, extend, and repeat the workflow.