AI Agent Transformation
Find high-value work, design governed agents, validate a PoC, and move to production with Microsoft 365 and Azure.
- 01Business workflow discovery
- 02Agent architecture & PoC
- 03Security, quality & operations
AI THAT UNDERSTANDS. DECIDES. EXECUTES.
QURAI turns repetitive enterprise work into governed AI Agents and helps Microsoft 365 Copilot deliver measurable adoption.
About 2 minutes · We will recommend the diagnostic scope and best starting point
ENTERPRISE AI TECHNOLOGY ECOSYSTEM
One partner connects technical delivery and user adoption, so value does not stop at a pilot.
Find high-value work, design governed agents, validate a PoC, and move to production with Microsoft 365 and Azure.
Define the right learning scope, activate real work scenarios, and measure adoption across teams.
Each engagement can stand alone or connect into one adoption program with measurable outputs.
Request an adoption assessmentAssess Microsoft 365 foundations, user needs, governance constraints, and priority opportunities.
Readiness findings · priority roadmap
Develop role-based use cases and mobilize champions, communications, and practical scenario support.
Use-case portfolio · activation plan
Deliver scenario-led learning, hands-on workshops, and reinforcement tied to real work.
Learning journey · practice · measurement
Three representative patterns from a broader 10-agent portfolio. Each combines automation with permissions, evidence, and human review.
AGENT WORKSPACE
Business challenge
Recurring market-intelligence collection and reporting consumes specialist time.
Control principle
Source traceability and human approval
Agent outcome
Collect, structure, and draft an evidence-linked report for expert review.
Connected agent coverage
Permission-aware search with citations across enterprise documents.
Structure operational data and produce reviewable decision context.
Move approved work into Microsoft 365 and connected systems.
Extend Copilot Studio with role-specific scenarios and controls.
Also covers Pricing · QA Audit · Code Compliance · Portfolio Review · Patent · LCA · Greenwashing
Agent Factory and change management are combined into one accountable flow.
DELIVERY STAGE
Map users, work, data, and constraints.
Deliverable
Work and data diagnostic
DELIVERY STAGE
Score value, feasibility, and risk.
Deliverable
Opportunity scorecard and roadmap
DELIVERY STAGE
Design, prototype, and validate quality.
Deliverable
Validated PoC and quality report
DELIVERY STAGE
Train by role and activate real scenarios.
Deliverable
Role-based learning and scenarios
DELIVERY STAGE
Track usage, value, and improvements.
Deliverable
Adoption dashboard and improvement plan
The assessment, scenario library, and learning experience are connected to the same journey.
Turn audience, goals, and constraints into a practical learning scope.
Find role-relevant examples and copy a usable starting prompt quickly.
Keep modules, progress, FAQs, and help in one guided learning space.
Selected Microsoft, cloud, workplace, and infrastructure delivery records from the QURAI portfolio. These are implementation references, not claimed AI-agent outcome studies.
Delivery scope
Microsoft 365 E5 and Microsoft 365 Copilot deployment for the internal business network
Technology
Outcome evidence shared where disclosure is approved
Delivery scope
Microsoft 365 Copilot adoption and company-wide user training in progress
Technology
Outcome evidence shared where disclosure is approved
Delivery scope
Microsoft 365 smart workplace deployment
Technology
Outcome evidence shared where disclosure is approved
Delivery scope
Azure cloud infrastructure deployment
Technology
Outcome evidence shared where disclosure is approved
Delivery scope
Microsoft technical support and infrastructure operations
Technology
Outcome evidence shared where disclosure is approved
Delivery scope
Microsoft technical support and license optimization
Technology
Outcome evidence shared where disclosure is approved
Delivery scope
Office infrastructure optimization and operations
Technology
Outcome evidence shared where disclosure is approved
Delivery scope
Smart education environment and AD/MECM operations
Technology
Outcome evidence shared where disclosure is approved
Detailed scope, references, and measurable outcomes can be shared during a briefing where client permissions allow.
Common challenge
Global knowledge, field operations, and approval workflows
Recommended start
Start with Teams + SharePoint agents
Common challenge
Controlled reporting, audit trails, and security operations
Recommended start
Start with Decision + Security agents
Common challenge
Permission-aware knowledge and repeatable citizen-service workflows
Recommended start
Start with Knowledge + Workflow agents
Common challenge
Service intelligence, incident context, and governance at scale
Recommended start
Start with Security + Teams agents
Founded in Seoul in 2020, QURAI brings enterprise technology delivery and AI transformation into one focused practice.
Core capability
Company milestones
QURAI founded
Enterprise SI and data capability established
Portfolio expanded beyond 60 enterprise projects
QURAI.AI launched and enterprise AI Agent and Copilot adoption expanded
Join QURAI to connect technology and people—and create meaningful change for our customers.
Application status and detailed requirements are available in each JobKorea posting.
Operate and continuously improve Microsoft 365 and Copilot environments for enterprise users.
Apply by Sep 27, 2026
View on JobKoreaOperate stable Exchange and Microsoft enterprise environments.
Apply by Sep 18, 2026
View on JobKoreaDesign enterprise AI agents and connect them to Microsoft 365 and Azure workflows.
Ongoing recruitment
View on JobKoreaDesign and deliver training that helps enterprise users apply new technology at work.
Apply by Sep 4, 2026
View on JobKoreaSupport daily administration and business operations so teams can focus on customer outcomes.
Ongoing recruitment
View on JobKoreaA practical starting point depends on the work, data, permissions, and change conditions—not only the tool.
We first identify repetitive, time-consuming work with stable outputs, then assess value, feasibility, data access, risk, and the point where people must review.
No. The approach extends your current Microsoft 365, Entra ID, Power Platform, Copilot Studio, Azure, and governance environment.
We confirm the workflow, users, source data, permissions, expected output, prohibited actions, and success criteria before choosing the implementation path.
Permissions, source evidence, human approval, audit records, and explicit boundaries are designed into the workflow. High-risk decisions remain with accountable people.
When adoption is in scope, role-based learning uses real work materials and continues through office hours, support, measurement, and internal champions.
Usage is only one signal. We also measure repeat use, completed work outputs, cycle time, quality, rework, and the organization’s existing business indicators.
Share your current work and goals. We will propose a practical starting point connecting agent delivery and Copilot adoption.
Microsoft Partner · Oracle Gold Partner · 60+ Enterprise Projects