Start with what you know.
Bring relevant operational and analytical data into supported Fabric sources. An existing Power BI semantic model can provide a starting point for definitions and trusted measures.
Fabric data + semantic modelsAI & AUTOMATION
Put AI to work.
Connect AI to the language of your business. Microsoft Fabric IQ, Copilot and purpose-built agents can turn governed data into more useful answers and workflows.
AUTOMATION IN MOTIONINTERACTIVE EXAMPLE / NO LIVE DATA
CHOOSE A PROCESS
From request to result.
INCOMING“Can someone help us connect five new locations?”
01
Capture
Request received
02
Connect
Find account context
03
Prepare
Draft next action
04
Review
Person reviews the handoff
BUSINESS OUTCOMEReady to run an example
Select a process, then run it.
THE LEVERAGE APPROACH
Technology designed around the outcome.
Reliable AI starts with clear business definitions, useful data and a workflow worth improving. We help connect those pieces, then test the agent and keep people in control of consequential decisions.
MICROSOFT IQ · BUSINESS CONTEXT
A shared business language for AI.
Within Microsoft IQ, Fabric IQ gives agents context about business entities and data. Its ontology (preview) defines what a customer, order or asset means, how those concepts relate and which governed sources supply the facts.
Fabric IQ
Ontology (preview)
Describe entities, relationships, metrics and rules once, then bind those concepts to their source data.
Customer → Order → Product
Shared meaning + governed context
Build useful agents.
Fabric data agents can answer business questions. Operations agents can monitor supported conditions. Copilot Studio and Microsoft Foundry can connect tailored agent experiences where supported.
Answers · monitoring · workflowsFor a mid-sized business, existing semantic models may shorten the path to a pilot. We still validate source quality, access, licensing and preview limits before recommending an agent for real work.
CAPABILITIES
What we bring together.
EXPLORE THE DETAILS
How we help.
Choose the capability that matters most to your business. We will help connect it to the rest of your technology strategy.
AI Readiness & Strategy
Identify a measurable workflow, map its data and decide where people need to review or approve actions.
Talk about this ↗Microsoft Copilot
Prepare Microsoft 365 content, permissions and training before introducing Copilot into everyday work.
Talk about this ↗Fabric IQ & Ontology
Define customers, orders and other business concepts in a Fabric ontology (preview), then bind them to supported data and existing Power BI semantic models where appropriate.
Talk about this ↗Data & Workflow Agents
Use Fabric data agents for business questions, operations agents for monitored conditions, and Copilot Studio or Microsoft Foundry for tailored experiences when supported.
Talk about this ↗Voice & Digital AI Agents
Design voice and digital self-service with system context and a clear path to a person.
Talk about this ↗Governance & Human Handoff
Test answers and actions, confirm source permissions and licensing, monitor outcomes and require human review where it matters.
Talk about this ↗TECHNOLOGY OPTIONS
Choose the right AI layer.
Microsoft tools can give employee and custom agents business context; customer-experience platforms can handle service conversations. We start with the workflow and its data, then choose the tools.
Microsoft Copilot
Evaluate productivity and agent workflows inside the Microsoft 365 environment.
Explore Microsoft Copilot with LCS ↗8x8
Evaluate Intelligent Customer Assistant for voice and digital self-service.
Explore 8x8 with LCS ↗NiCE
Evaluate CXone AI Agents for connected voice and digital service.
Explore NiCE with LCS ↗RingCentral
Evaluate AIR Pro for conversational voice-first customer workflows.
Explore RingCentral with LCS ↗Five9
Evaluate Five9 IVA and Voice AI for conversational service and live-agent handoff.
Explore Five9 with LCS ↗Fabric IQ ontology and some agent integrations are in preview. Availability, licensing and data access depend on the environment.
Discuss Your Options ↗AI, MADE OPERATIONAL
Agents should do work,
not just generate text.
We focus on practical AI connected to real workflows—with defined permissions, data access, escalation paths and human approval where it matters.
ILLUSTRATIVE AI WORKFLOW
Reviewing incoming service request...
✓ Customer identified in CRM
✓ Relevant account context retrieved
✓ Recommended action prepared
→ Human approval requested
LET'S BUILD WHAT'S NEXT
Your technology should
move the business forward.
Plan practical AI around your business data, workflows and the people who will use it.
Talk to a Technology Advisor