Infrastructure agents
Proposed network and security agents assist with patching, configuration drift and exceptions. Data centre agents can support capacity, thermal analysis and maintenance recommendations.
Solutions
AI agents for enterprise operations
An enterprise approach to observation, reasoning, approval, action and verification.
AI & operations
What the solution includes.
Service & field agents
Service desk agents retrieve knowledge, enrich tickets, assist diagnostics and prepare communications. Field agents can support dispatch, spares, asset context and completion records.
Software & process agents
Document intelligence, testing assistance, process mining and knowledge workflows connect enterprise development and process services.
Workforce agents
Skills matching, onboarding and workforce knowledge are proposed extensions to enterprise resource services.
Controls across every stage
Least-privilege identity, data masking, segmentation and retention work with evaluated models, versioned knowledge, allowed APIs, validated parameters, change windows, action logs, rollback and manual escalation.
How it comes together
From requirements to delivery.
- 01
Observe
Telemetry, assets, CMDB and service tickets.
- 02
Understand
AI reasoning, analytics and approved knowledge.
- 03
Authorize
Policy, risk and human approval.
- 04
Act
Approved APIs, changes and dispatch.
- 05
Verify
Validate, record and recover when needed.
MTS experience & delivery context
The Singapore bank vulnerability engagement is underway. i-Care AI and deployed Odoo ERP automation provide separate development evidence. The broader agent families and MCdesk extensions are proposed integrations scoped per customer.
A measured adoption path
Start with one workflow. Prove the value.
- 01
Discover
Baseline the workflow, ownership and KPIs.
- 02
Pilot
Start with one advisory use case.
- 03
Integrate
Connect approved knowledge, ITSM and monitoring.
- 04
Control
Set approval, access, logs and rollback.
- 05
Scale
Expand after evaluation with an accountable owner.
- 06
Manage
Maintain models, prompts and knowledge.
What to measure
Operational outcomes, not just AI activity.
Service performance
MTTA / MTTR, repeat incidents, availability and change success.
Customer experience
First-contact resolution, response time, quality and escalation.
Efficiency & capacity
Engineering effort, ticket and dispatch time, manual work and cost.
AI quality & oversight
Acceptance, false positives, human overrides and verified actions.
Explore the experience
MTS AI Agent Concierge
Explore MTS knowledge, discover relevant solutions and prepare an enquiry. Guided search is always available; live AI is offered when connected.
Connected capabilities
Explore the wider solution.
Let’s shape the right solution.
Discuss your environment, locations, requirements and operating model with MTS.