Artificial Intelligence is rapidly evolving. Microsoft is predicting more than 1 billion agents will be in use by 2028 [1]. Many people are using Claude Code and Open Claw agents to do more and more tasks for them.
At Omnitech, we’ve been pragmatically researching as a group to understand the feasibility, capabilities and how our clients can adopt AI agents in ways that are secure, cost‑effective, and align with business goals.
AI agent systems go beyond chatbots.
They can perform multiple steps, gather information, enhance it, and even execute actions such as:
Pull information from multiple systems
Make decisions based on business rules
Execute multi‑step workflows
Coordinate with other agents or services
Act on behalf of a user (with proper identity and permissions)
This makes agents a powerful tool for modern organizations looking to automate processes to reduce repetitive work, improve efficiency, and unlock insights hidden across siloed data and systems.
Across industries, organizations are asking for systems that can:
Tasks like HR questions, PTO requests, onboarding, scheduling, knowledge lookups, and internal communications can be handled by agents—saving time and reducing errors.
AI agents can unify fragmented data sources, such as:
SharePoint
Databases
Microsoft Graph / M365
OneNote
Internal APIs
Many clients already struggle with “information everywhere.” Agents help connect the dots.
Agents can deliver consistent answers, escalate when needed, and personalize interactions based on role and identity—providing better service without additional staffing.
With intelligent retrieval (RAG) and services like Foundry IQ, agents can ground their responses in your own company knowledge - securely and in real time.
We can guide discovery to what the business needs with discussions and experimentation.
We can help you determine when and how to use AI Agents and the targeted functionality for each one.
Many times, there is an existing solution, or creating a deterministic code solution may be better.
Our data team can help you evaluate your data and make it usable for AI Agents and advanced analytics.
When to use built‑in tools vs. custom code;
How to design for security and RBAC;
How to structure internal knowledge sources;
How to manage costs (AI Search vs vector DB, hosted vs on‑prem/local models);
How to roll out agents safely and progressively.
Azure AI Foundry Agents
Microsoft Agent Framework (MAF)
Secure identity models using Entra Agent ID (delegated & unattended modes)
Custom C# and Azure Function agents
Vector databases & enterprise RAG pipelines
Teams and web app integrations
Orchestration workflows for multi‑step processes
How do we secure them?
How do we experiment and evaluate to discover optimal solutions, building trust and when to enable them in production?
What data should they access?
Do we need custom code or can we use Microsoft’s tools?
How do we ensure accuracy and governance?
How do we measure value and ROI?
Omnitech helps you answer these questions with a balanced approach.
Practical
Measurable
Governed
Cost-conscious
Maintainable
Integrated with your existing M365 and Azure environment
Let’s talk about how AI agents can simplify workflows, reduce operational friction, provide value to your clients, and help your teams do more of what matters.
