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AI Transformation
Are you doing it right?

We design AI agent adoption with you at every step, from problem definition to production deployment.

View casesThe hyper-agile development methodology

Three tests for AI adoption that pays off

You should be able to answer these three questions before you adopt.

Quality Improvement

Does it improve the quality of customer products?

  • Discover product improvements through multi-channel review analysis
  • Real-time customer complaint detection through sentiment analysis
  • Accelerate data-driven decision making

Enhanced product competitiveness

Cost Reduction

Does it reduce the operational costs of making products?

  • Reduce labor costs through repetitive task automation
  • Focus skilled workers on high-value tasks
  • Reduce rework costs by lowering error rates

A better operating cost structure

Revenue/Margin Increase

Does it directly impact revenue or margins?

  • Optimize sales through dynamic price management
  • Real-time competitor price monitoring
  • Maximize profits through P×Q optimization

Direct financial performance

AI agent adoption cases

Each case lays out the problem and how it was solved, by field. Click one for details.

Enterprise AI Agents

Global enterprise AI automation cases

Responding to Lowest-Price Competition with Dynamic Price Management

Real-time price adjustment with ontology-based judgment

Global Price Research Automation

Auto-monitoring of stores worldwide

Product Quality Improvement through Multi-Channel Review Analysis

Beauty product lid redesign case

Enterprise Automation

Business process automation cases

Marketing Campaign Automation

Segment-based campaigns, run automatically on a daily cycle

Invoice Processing Automation

Bulk invoices processed automatically, with people handling only exceptions

HR Onboarding Automation

New hire onboarding registrations in one go

Personal Task Automation

AI utilization for non-developer professionals

AI-Based Certification Exam Learning

Personalized study focused on weak areas

Automate from Development to Deployment with AI

From idea to service in one day

Automated Candidate Resume Analysis

Less repetitive HR work

View All Cases

AX Adoption Roadmap

From problem definition to production deployment, we support your AI Transformation in four phases.

Phase 1(1/4)

Problem Definition

Problem Definition

Define clear business problems that AI can solve.

Key Activities

  • Analyze current business processes
  • Identify repetitive and time-consuming tasks
  • Evaluate AI suitability (automation feasibility)
  • Calculate expected ROI

Deliverables

AI-suitable task list & ROI prediction report

After the build, approvals and records live in Connect

Once an AI agent is built, handing it to a team needs approval and a record. HyperTeams Connect picks up from there.

See HyperTeams ConnectExplore HyperTeams

Start your AX journey together

Talk through your problem with AI Transformation experts, starting from problem definition.

View cases
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