Phone: 02-839-7500
Public · ANYSUPPORT · Internal support
Gyeonggi Provincial Gov.
· ANYSUPPORT Customer Stories / Gyeonggi Provincial Gov.

CUSTOMER STORY

Quickly fixing field officers' drought-system failures, remotely

When city/county agriculture officers hit errors on the drought dashboard, observation-data lookups, or report printing, a central operator connects remotely to check browser settings, query conditions, and the printing environment. Even hard-to-visit regions get the same quality of support, improving continuity of disaster and agriculture systems.

ClientGyeonggi Provincial Gov.
ProductANYSUPPORT · PC
Use TypePublic · Internal support

BACKGROUND

Background

UsersCity/county agriculture officersProvincial system operatorsIntegrated maintenance staff

Challenge

For drought systems, the same error appears differently due to regional PC environments and skill gaps.

Key Objective

For continuity of disaster/agriculture work, causes must be classified remotely and quickly before an on-site visit.

After

  • Reduced support gaps between regions
  • Fewer field trips
  • Keep consultation, action, and completion data as standard records for operational improvement

SCENARIO

Remote Scenario

City/county officer

Report an incident

Inquiry no. · consent

Provincial operator

Connect from the ops center

Session ID · agent

Provincial operator

Check dashboard/data lookup

Issue type · action log

Integrated maintenance staff

Fix environment settings

Approval · handoff · change

Detailed Scenario

When city/county agriculture officers hit errors on the drought dashboard, observation-data lookups, or report printing, a central operator connects remotely to check browser settings, query conditions, and the printing environment. Even hard-to-visit regions get the same quality of support, improving continuity of disaster and agriculture systems. For continuity of disaster/agriculture work, causes must be classified remotely and quickly before an on-site visit.

OPERATION

Security Controls

Security Controls

  • Separate internal/external support channels
  • User-approved access
  • Least-privilege remote control
  • Manage access and personal-data handling logs

Operational Risks

  • Accessing without user approval
  • Agents viewing more screens than needed
  • No cause/knowledge accumulated after a quick fix

PERFORMANCE

Recommended KPIs

Average incident handling timeBaselines and targets to be set from real operational data
First-contact remote resolutionBaselines and targets to be set from real operational data
On-site-visit replacement rateBaselines and targets to be set from real operational data
User return-to-work timeBaselines and targets to be set from real operational data

Rollout Phases

1. Design

Define internal-support targets, consultation scope, connection paths, and agent groups.

2. Apply

Deploy ANYSUPPORT in the PC environment and validate operating scenarios with representative inquiry types.

3. Optimize

Analyze consultation data around average incident handling time and first-contact remote resolution, and expand standard playbooks.

Is It Right for Your Company?

We'll propose a remote support model tailored to your industry, users, and security policy.

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