QURAI PARTNER
Microsoft AI Cloud Partner Program
Microsoft 365 · Azure · Copilot
QURAI · AI AGENT SPECIALIST
Your enterprise.
Powered by AI Agents.
AI THAT UNDERSTANDS. DECIDES. EXECUTES.
QURAI connects Microsoft 365, Azure, Copilot, and enterprise data to build governed AI Agents that perform real work and deliver measurable adoption.
About 2 minutes · We will recommend where to start
QURAI / AGENT SYSTEMOPERATING MODEL
QURAIAGENTAgent decision
- 01Work requestBusiness context
- 02Source evidenceMicrosoft Graph
- 03Human reviewApprove before action
- 04M365 actionTeams · SharePoint · Outlook
QURAI Agent Orchestration
- Permissioned access
- Source evidence
- Execution log
ENTERPRISE FOUNDATION
Microsoft Graph · Azure OpenAI · Power Platform
QUICK START BY GOAL
ENTERPRISE AI TECHNOLOGY ECOSYSTEM
01Microsoft 36502Azure03Copilot Studio04Power Platform05Entra ID06Purview
QURAI / PARTNERSHIPS
Global AI partners. QURAI delivery.
Our partnerships with Microsoft, Google Cloud, Claude and OpenAI support your enterprise AI adoption and transformation.
QURAI PARTNER
Google Cloud Partner Network
Cloud · Data · AI
QURAI PARTNER
Claude Partner Network
Enterprise AI · Claude
QURAI PARTNER
OpenAI Partner Network
Frontier AI · Enterprise
Logos and trademarks belong to their respective owners.
PARTNERSHIP → DELIVERY
From technology partnerships to work delivered.
Beyond technology and methods, see the work delivered with selected clients.
SELECTED 2026 WORK
- SK Chemicals
AI education and workplace project coaching
- LG Electronics
Microsoft 365 Copilot adoption and company-wide user training in progress
- Samsung Securities
Microsoft 365 E5 and Microsoft 365 Copilot deployment for the internal business network (June–November, six months)
FROM SIGNAL TO OUTCOME
See enterprise AI working—not just answering
First, explore an illustrative workflow: request, evidence, human approval, Microsoft 365 action, and an outcome signal. Then see documented delivery work.
QURAI / AI WORKFLOW Illustrative workflow · sample data
Sales brief
01 / Work request
Prepare the weekly sales briefing
02 / Evidence connected
18 verified sources
03 / Human checkpoint
Ready for review
04 / Microsoft 365 action
Teams briefing drafted
Illustrative output package
Evidence brief · 18 sources mapped
After the illustrative workflow, explore documented completed delivery.
View Agent deliveryFROM DESIGN TO DELIVERY
Beyond the demo. Into the work.
AI Agent expertise connecting design, delivery and operations. Selected applications documented in our delivery records.
Proposal drafting
Delivery completeFrom gathering material to reviewing the proposal.
Generate PowerPoint drafts from customer context and existing materials
Illustrative output
WORK PROPOSAL01 / 03
Workflow automation proposal
Less preparation. More informed review.
Review checklist
Confirm sources and customer requirements
Technical email replies
Delivery completeDraft product and technical replies grounded in internal documentation
Reviewed by the owner before sending.
Illustrative output
Technical reply draftDRAFT
Following up on your integration question
We have outlined an approach using the shared technical guide. The owner will confirm your environment and requirements before sending.
Reference: technical guide (example)Review before sending
Meeting follow-through
Delivery completeRecord customer context, discussion and next steps from Teams in CRM
Connect the meeting to the sales record.
Illustrative output
Meeting follow-through
| Next action | Owner | Status |
|---|---|---|
| Summarize requirements | Owner A | In review |
| Confirm integration scope | Owner B | To confirm |
Meeting notes → Next steps → CRM
Anonymized client · Sales · September 2026 delivery records · Client identities and internal designs remain private.
Two connected capabilities
Build the technology. Make the change stick.
One partner connects technical delivery and user adoption, so value does not stop at a pilot.
AI Agent Transformation
Find high-value work, design governed agents, validate a PoC, and move to production with Microsoft 365 and Azure.
- Business workflow discovery
- Agent architecture & PoC
- Security, quality & operations
Copilot Adoption & Change
Define the right learning scope, activate real work scenarios, and measure adoption across teams.
- Readiness & stakeholder analysis
- Role-based learning journeys
- Adoption measurement & reinforcement
DiscoverBuildAdoptMeasure
Enterprise AI programs
Enter at your current stage. Leave with a working capability.
From opportunity discovery to agent delivery and workforce adoption, QURAI connects the work into one accountable program.
Find the right starting point QURAI / CHANGE MANAGEMENT FILM
AI adoption starts with people.
Change makes it last.
From awareness and learning to practice and lasting use, QURAI supports the people behind Copilot adoption.
Film summary: technology alone does not create lasting use. Teams need motivation, learning, practice, and reinforcement. This is not a verbatim transcript or subtitles.
01No task yet
+
Discover candidate work through workflow, data, stakeholder, and constraint analysis.
Candidate portfolio · priority roadmap02Candidates identified
+
Assess value, feasibility, and risk, then define the right agent and adoption scope.
Validated scope · execution plan03Task defined
+
Build, verify, coach, and transfer the capability into day-to-day operations.
Verified pilot · operations handoff01AI Agent Task Program
Discover · Design · Build · Verify+
Turn real workflow opportunities into governed agents through discovery, design, implementation coaching, and verification.
Discuss this program02Adoption & Field Coaching
Awareness · Practice · Champions · Measure+
Move from awareness to Everyday AI, agent practice, champion enablement, and measurable workplace adoption.
Discuss this program03Digital Learning Content
Script · Record · Edit · Deliver+
Produce role-based microlearning, work-scenario videos, guides, and blended learning ready for LMS and Teams.
- Microlearning
- Scenario video
- LMS · Teams package
Governed from pilot to operations
- 01Owner & purpose
- 02Access & sharing
- 03Quality & security
- 04Adoption & outcome
Representative agent portfolio
Start with a real workflow, not a generic chatbot
Three representative patterns from a broader 10-agent portfolio. Each combines automation with permissions, evidence, and human review.
Business application
MI Automation
Business challenge
Recurring market-intelligence collection and reporting consumes specialist time.
Agent outcome
Collect, structure, and draft an evidence-linked report for expert review.
Control principle
Source traceability and human approval
Explore an illustrative workflow
INTELLIGENCE / 01
Market intelligence brief
From scattered information to a grounded draft
- 01
Key developments
Group market developments to verify in public sources.
- 02
Potential implications
Separate findings relevant to your business.
- 03
Follow-up checks
Confirm the original source and publication date.
Work input
Connect evidence
Reviewable output
TechnologyCopilot StudioPower AutomateSharePoint
Connected agent coverage
One control plane across knowledge, decisions, action, and Copilot
Knowledge
Permission-aware search with citations across enterprise documents.
Data & Decision
Structure operational data and produce reviewable decision context.
Workflow & Action
Move approved work into Microsoft 365 and connected systems.
Copilot Extension
Extend Copilot Studio with role-specific scenarios and controls.
Also covers Pricing · QA Audit · Code Compliance · Portfolio Review · Patent · LCA · Greenwashing
One delivery path
From diagnosis to measurable adoption in five steps
Agent Factory and change management are combined into one accountable flow.
Diagnose
Map users, work, data, and constraints.
DeliverableWork and data diagnostic
Prioritize
Score value, feasibility, and risk.
DeliverableOpportunity scorecard and roadmap
Build
Design, prototype, and validate quality.
DeliverableValidated PoC and quality report
Adopt
Train by role and activate real scenarios.
DeliverableRole-based learning and scenarios
Measure
Track usage, value, and improvements.
DeliverableAdoption dashboard and improvement plan
Applied architecture examples
See how work connects before choosing a screen
Explore the AI Agent's connection and review boundaries, Copilot learning scope, and a client learning workspace.
These are non-interactive examples, not public tools. The links below open an inquiry form; actual access and scope are discussed in consultation.
AI Agent Control Blueprint
See the operating boundaries that govern how an Agent accesses enterprise systems and acts on work.
AGENT / CONTROL PLANE
Boundaries for action
What an Agent may access and record matters as much as connectivity.
QURAIAGENTCONTROL
- 01Access
Role-scoped system permissions
- 02Evidence
Allowed sources and citations
- 03Approval
Owner review before action
Audit trailTrace who acted, on what evidence, and what changed
About this preview
An illustrative operating model separating access, evidence, human approval, and audit records. Actual integrations and approval scope are defined in consultation.
Copilot Scope Finder
Turn audience, goals, and constraints into a practical learning scope.
Training scope
- Audience
- Business usersInternal trainers
- Adoption goal
- Apply to meetings and documents
Illustrative learning path
Foundations → Role-based practice → Coaching
About this preview
Design the scope around your audience and goals. This illustrates the recommendation approach.
Client Learning Hub
Keep modules, progress, FAQs, and help in one guided learning space.
Learning workspace
Copilot for everyday work
- 01Getting startedLearning material
- 02Scenario practicePractice guide
- 03Workplace assignmentAssignment brief
About this preview
Connect content, practice and assignments in one learning flow. Availability is defined during consultation.
Delivery Evidence
Enterprise experience behind the agent platform
From enterprise infrastructure to AI education and workplace coaching. Explore the scope of QURAI’s engagements, without conflating delivery activity with measured outcomes.
- enterprise projects
- 60+
- new 2026 engagements
- 27
- core industry groups
- 4
New 2026 delivery
NEW · 20262026 delivery records · 2726 archive records + 1 featured case (Samsung Securities). The examples below show public delivery scope.Kakao Pay SecuritiesGWS → M365 migrationSK hynixAzure Landing Zone deploymentMUSINSAEntra ID supportExplore 2026 delivery records →
SNT Dynamics
MECM deployment
Featured & established delivery
SK Chemicals
2026AI / ENABLEMENT
From AI ideas
to actionable projects.
Supporting teams as they shape workplace AI projects, with education and expert coaching for project planning and practical application.
AI education · Workplace coaching- Frame the taskStart with a workplace question
- Learn with a coachDevelop the idea together
- Plan for applicationDefine a practical direction
Education and coaching participation; not a claim of completed deployment or measured results.
VERIFIED DELIVERY SCOPE
2026LG Electronics
Delivery scope
Microsoft 365 Copilot adoption and company-wide user training in progress
Technology
M365 CopilotAdoptionUser Training
View context and disclosure scope
- Business context
- Company-wide Copilot adoption
- Verified delivery
- Adoption program and user training in progress
- Disclosure boundary
- Engagement status public · quantified results private
03 / CLIENT WORK
2026Samsung Securities
Microsoft 365 E5 and Microsoft 365 Copilot deployment for the internal business network (June–November, six months)
TechnologyM365 E5CopilotEnterprise Network
04 / CLIENT WORK
2025–2026SoluM
Microsoft 365 smart workplace deployment
TechnologyM365TeamsMigration
05 / CLIENT WORK
2024Hanwha Investment
Microsoft technical support and infrastructure operations
TechnologyAzureM365Security
06 / CLIENT WORK
2023–2025Hyundai AutoEver
Microsoft technical support and license optimization
TechnologyMicrosoftM365License
07 / CLIENT WORK
2023–2024Samsung Card
Office infrastructure optimization and operations
TechnologyVDIInfrastructureWindows
08 / CLIENT WORK
2023–2025Gyeonggi Office of Education
Smart education environment and AD/MECM operations
TechnologyADMECMPublic Sector
Featured case 1 / 8
Detailed scope, references, and measurable outcomes can be shared during a briefing where client permissions allow.
Choose a practical starting point
Manufacturing
- Common challenge
- Global knowledge, field operations, and approval workflows
- Recommended start
- Start with Teams + SharePoint agents
Financial Services
- Common challenge
- Controlled reporting, audit trails, and security operations
- Recommended start
- Start with Decision + Security agents
Public Sector
- Common challenge
- Permission-aware knowledge and repeatable citizen-service workflows
- Recommended start
- Start with Knowledge + Workflow agents
Enterprise IT
- Common challenge
- Service intelligence, incident context, and governance at scale
- Recommended start
- Start with Security + Teams agents
Company
Enterprise foundations, built for the AI era
Founded in 2020, QURAI brings enterprise technology delivery and AI transformation into one focused practice.
- Founded
- 2020
- Enterprise projects
- 60+
Enterprise technology foundation
- Microsoft 365
- Azure
- Oracle
- AI Agent
Company milestones
- 2020
QURAI founded
- 2021–22
Enterprise SI and data capability established
- 2023–24
Portfolio expanded beyond 60 enterprise projects
- 2025–26
QURAI.AI launched and enterprise AI Agent and Copilot adoption expanded
Core capability
- Microsoft 365 & Azure
- Oracle & enterprise data
- Infrastructure & security
- AI Agent transformation
Seoul, South KoreaBusiness inquiries · tom@qurai.ai
Careers
Build the next standard for enterprise AI with us
Join QURAI to connect technology and people—and create meaningful change for our customers.
2 active · 6 past postings
Application status and detailed requirements are available in each JobKorea posting.
Recruitment information checked · Oct 25, 2026
2 active roles6 specialtiesCheck JobKorea
Currently hiring
No verified openings are accepting applications right now. Please check back for updates.
Microsoft 36501
M365 Administrator · Ongoing Recruitment
Operate and continuously improve Microsoft 365 and Copilot environments for enterprise users.
Apply by Oct 29, 2026
View on JobKorea · opens in a new tabBusiness operations02
Business Support & General Administration Position
Support daily administration and business operations so teams can focus on customer outcomes.
Apply by Nov 3, 2026
View on JobKorea · opens in a new tabPlease recheck application status on JobKorea
View 6 past postings
Application development01
Mobile Web & Delphi Developer
Develop and maintain enterprise mobile web and Delphi applications as an experienced full-time engineer.
Applications closed · Check posting
View on JobKorea · opens in a new tabMicrosoft 36502
M365 Administrator · Previous Posting
Operate and continuously improve Microsoft 365 and Copilot environments for enterprise users.
Applications closed · Check posting
View on JobKorea · opens in a new tabMicrosoft infrastructure03
Microsoft Exchange Administrator & Operations Manager Position
Operate stable Exchange and Microsoft enterprise environments.
Applications closed · Check posting
View on JobKorea · opens in a new tabEnterprise AI04
QURAI.AI · AI Agent Engineer · Previous Posting
Design enterprise AI agents and connect them to Microsoft 365 and Azure workflows.
Applications closed · Check posting
View on JobKorea · opens in a new tabAdoption & enablement05
IT Training Instructor Position
Design and deliver training that helps enterprise users apply new technology at work.
Applications closed · Check posting
View on JobKorea · opens in a new tabBusiness operations06
Business Support & General Administration · Previous Posting
Support daily administration and business operations so teams can focus on customer outcomes.
Applications closed · Check posting
View on JobKorea · opens in a new tabBefore you begin
Questions teams ask before an AI initiative
A practical starting point depends on the work, data, permissions, and change conditions—not only the tool.
Where do we start?
We first identify repetitive, time-consuming work with stable outputs, then assess value, feasibility, data access, risk, and the point where people must review.
Do we need to replace Microsoft 365?
No. The approach extends your current Microsoft 365, Entra ID, Power Platform, Copilot Studio, Azure, and governance environment.
What happens before a PoC?
We confirm the workflow, users, source data, permissions, expected output, prohibited actions, and success criteria before choosing the implementation path.
How do you handle security and AI errors?
Permissions, source evidence, human approval, audit records, and explicit boundaries are designed into the workflow. High-risk decisions remain with accountable people.
Is training included?
When adoption is in scope, role-based learning uses real work materials and continues through office hours, support, measurement, and internal champions.
How is success measured?
Usage is only one signal. We also measure repeat use, completed work outputs, cycle time, quality, rework, and the organization’s existing business indicators.
Start Your AI Agent Journey
Find the right next AI workflow
for your organization
Share your current work and goals. We will propose a practical starting point connecting agent delivery and Copilot adoption.
Bring three things to the first conversation
- 01Current work
- 02Environment
- 03Desired change
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