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Enterprise AI

Most AI pilots die at the security review. We build the ones that pass.

Everyone has an AI proof-of-concept. Almost no one has AI in production doing real work, because the moment it needs access to actual systems and data, security says no — and they're usually right to. Open-ended access, no audit trail, no owner. That's not a product, it's a liability.

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Business outcomes

What this solution is designed to improve.

We design AI that earns its way into production. Agents get least-privilege access to specific tools, every action is logged, and higher-risk actions sit behind human approval. Copilot and Azure OpenAI integrations connect to your data under real identity controls, not a blanket API key.

01

Adopt AI safely

Move from pilot to production with a security model your risk team actually signs off on. Least-privilege access, audit logging and human approval on sensitive actions are built in from day one — not bolted on after.

02

Control tool access

Every tool an agent can touch gets its own scoped credential and approval rule. If it only needs to read a calendar, it can't send email or delete a record. Access expands as the agent earns trust.

03

Connect AI to business workflows

Wire AI into the systems you already run — CRM, ticketing, internal APIs — through governed connectors, so it does real work instead of sitting in a demo. Nothing is open-ended by default.

04

Monitor AI operations

Every agent action is logged with who, what and when. When something breaks at 2am you can trace exactly what happened and roll it back — instead of guessing.

Related services

Capabilities connected to this solution.

These services can be delivered independently or combined into a larger roadmap.

01

Agentic AI

Governed AI agents that connect to your systems with least-privilege access, human approval on risky actions, and a full audit trail.

02

Microsoft AI Foundry

Build, evaluate and deploy enterprise AI on Microsoft AI Foundry with the governance, evaluation and monitoring production requires.

03

Azure OpenAI

Enterprise Azure OpenAI deployments with private networking, data governance, cost control and monitoring — GPT capability inside your security boundary.

04

Microsoft Copilot

Copilot readiness done right — clean up permissions first, so Copilot surfaces what people should see and nothing they shouldn't.

05

MCP Development

Custom MCP servers that connect AI agents to your APIs and data through governed, auditable, least-privilege interfaces.

06

AI Automation

Automate real business workflows with AI — safely scoped, monitored, and with humans in the loop where it matters.

Industry fit

Designed for teams that need accountable production delivery.

Industry mapping helps connect the solution to security, compliance, data and operating needs.

01

SaaS & Technology

Scalable platforms, SOC 2 readiness, DevOps acceleration and observability for SaaS teams whose reliability is their reputation.

02

Financial Services

Identity-first access, resilient infrastructure, audit trails and governed AI for banks, fintechs and financial teams under regulatory pressure.

03

Professional Services

Microsoft 365, Copilot readiness, secure collaboration and managed support for professional services firms.

Delivery path

Structured around practical adoption and operational handover.

CloudevTech connects strategy, architecture, implementation and enablement so the solution can be supported after launch.

CloudevTech Enterprise delivery model
01 Discover
02 Architect
03 Implement
04 Validate
05 Operate
Related proof

Representative delivery pattern.

Case studies are selected where public details can be shared without exposing confidential client information.

Enterprise consultation

Planning a cloud, security, DevOps or AI initiative?

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