AI Agents: Your Digital Workforce
Intelligent agents that work alongside your team — automating tasks, answering questions, and making smarter decisions around the clock.
What Are AI Agents?
AI agents are autonomous software programs powered by large language models that can understand instructions, reason through problems, take actions, and deliver results — all with minimal human intervention.
Unlike traditional automation (which follows rigid rules), AI agents adapt to context, learn from interactions, and handle nuance. They can read documents, query databases, send emails, create reports, and orchestrate multi-step workflows.
- Understand natural language instructions
- Reason through multi-step tasks
- Access tools, data, and APIs
- Learn and improve from feedback
How an AI Agent Works
Types of AI Agents
From out-of-the-box Microsoft solutions to fully custom builds, choose the right agent for your needs.
Microsoft Copilot Agents
Extend Microsoft 365 Copilot with purpose-built agents that live inside Teams, Word, Excel, and Outlook.
- Automate document drafting and summarization
- Surface insights from organizational data
- Integrate with Microsoft Graph and your LOB apps
Power Platform Agents
Build conversational agents in Microsoft Copilot Studio (formerly Power Virtual Agents) with low-code tools.
- Create no-code conversational flows
- Connect to Power Automate for workflow actions
- Deploy across web, Teams, and mobile channels
SharePoint Agents
Deploy knowledge agents directly on SharePoint sites that answer questions from your documents and lists.
- Ground responses in your SharePoint content
- Provide instant self-service for employees
- Maintain governance with built-in permissions
Custom Business Agents
Tailor-made agents built with Azure AI, LangChain, or Semantic Kernel for complex enterprise workflows.
- Handle multi-step, domain-specific processes
- Integrate with legacy systems and databases
- Scale with enterprise-grade security and compliance
Non-Profit & NGO Agents
Purpose-built agents for impact organizations — donor management, beneficiary services, and program reporting.
- Automate donor communications and reports
- Streamline beneficiary intake and case management
- Generate grant proposals and impact narratives
How to Build Your First Agent
Follow these five steps to go from idea to a deployed, working AI agent.
Define the Goal
Identify a specific task or workflow the agent should automate. Start small and focused.
Choose the Platform
Select the right tool — Copilot Studio, Azure AI, or a custom framework based on complexity.
Design the Logic
Map out the conversation flow, data sources, actions, and fallback behaviors.
Build & Test
Develop the agent, connect integrations, and test with real scenarios and edge cases.
Deploy & Monitor
Launch to users, collect feedback, monitor performance, and iterate for improvement.
Agent Use Cases by Industry
Explore how AI agents transform operations across different sectors.
Loan Application Processor
Agent that collects applicant info, verifies documents, runs credit checks, and generates pre-approval recommendations.
Fraud Detection Assistant
Monitors transactions in real-time, flags anomalies, and escalates suspicious activity to compliance officers.
Customer Onboarding Agent
Guides new clients through KYC requirements, account setup, and product selection via conversational interface.
Portfolio Reporting Agent
Generates personalized investment reports by pulling data from multiple systems and summarizing key metrics.
Regulatory Compliance Bot
Scans policy documents against regulatory updates and alerts teams to required changes.
Sibasi Agent Services
End-to-end support to help you design, build, deploy, and manage AI agents that deliver real business value.
Agent Strategy & Roadmap
We assess your organization, identify high-impact agent opportunities, and create a phased deployment roadmap.
Agent Development
Our team builds production-ready agents using Microsoft Copilot Studio, Azure AI, Power Platform, or custom frameworks.
Deployment & Integration
We deploy agents into your existing ecosystem — Teams, SharePoint, websites, mobile apps — with seamless data integration.
Team Training
Hands-on workshops to teach your team how to manage, extend, and build their own agents with confidence.
Governance & Security
We implement responsible AI practices, data governance policies, and security controls for every agent deployment.
Ongoing Support & Optimization
Continuous monitoring, performance analytics, and iterative improvements to keep your agents effective.
Ready to Deploy Your First Agent?
Let Sibasi help you identify the right use case, build your first AI agent, and set your team up for success.