Capability · delivered through AmplifyAI
Operational AI: not a rollout — an operation.
Operational AI is the ongoing practice of running AI tools like Microsoft Copilot, Anthropic Claude, Google Gemini, or Azure AI Foundry as a governed, measured business capability — with usage reporting, user training, security controls, and continuous improvement — rather than a one-time deployment. DivergeIT delivers it through AmplifyAI, a managed AI service.
The chain, not the checkbox
- Microsoft Copilot, Anthropic Claude, Google Gemini, or Azure AI Foundry
- AmplifyAI — the managed service around the tool
- AI governance and acceptable-use policy
- User adoption, training, and champions
- Skill and prompt development against real workflows
- Security controls and permissions
- Usage, spend, and ROI measurement
- Continuous optimization through business reviews
Tools: Microsoft Copilot · Anthropic Claude · Google Gemini · Azure AI Foundry
What the operation includes
Work that recurs, because the risk recurs
- Governed adoption from day one
- An AI acceptable-use policy enforced in tenant settings with per-user acknowledgment — set during a 30-day onboarding, reviewed on a recurring cadence.
- Adoption and usage reporting
- Active users, session depth, and adoption by team — so leadership sees whether the license spend is becoming a capability.
- Skill and prompt development
- A pre-built skill library plus custom skills generated and refined against your actual workflows, with marketplace plugin and connector support.
- Security controls
- Shadow-AI detection across your organization, plus role-based permissions and tool blocking on AI Success Desk Plus when detection is not enough.
- Cost and ROI visibility
- Token and usage cost by user and team on every plan, with cost controls and budget alerts on Plus — your AI spend treated like any other operational budget line.
- Embedded engineering when ready
- Forward Deployed Engineers who map your workflows and build the agents they need — then hand them back as managed agents, monitored and maintained.
The operating rhythm
Why clients stay every month
- Quarterly business reviews on AI Success Desk Core; monthly on Plus
- Recurring adoption and spend reporting to leadership
- Policy and permissions review as tools and models change
- Skill library updates as workflows evolve
Built for
Who this fits
- Organizations with Copilot, Claude, or Gemini licenses and no adoption strategy
- Leadership teams that need AI usage, risk, and ROI made visible
- Regulated businesses that cannot allow ungoverned AI use
Delivered through AmplifyAI — AI Solutions, with response guarantees in writing and every rate published on one page.
FAQ
Operational AI, answered plainly
What is Operational AI?
The practice of running AI tools as a governed, measured, continuously improved business capability — with adoption reporting, training, security controls, and cost visibility — instead of treating deployment as the finish line.
Why does AI need ongoing management?
Models change, workflows change, and usage drifts. Without recurring governance, training, and measurement, adoption stalls, shadow-AI spreads, and nobody can say what the licenses return. The operational layer is what turns a tool into a capability.
We already deployed Copilot. What is left to do?
Deployment answers "is it on?" Operational AI answers: who uses it, is it governed, is data protected, what does it cost, and is it getting better each quarter. That is the recurring work AmplifyAI exists to do.
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