Training Solutions
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AI Service Desk & Incident Resolution

Service desk teams can independently deploy AI for ticket classification, automated resolution, and knowledge-assisted troubleshooting — resolving 60-70% of L1 tickets without human intervention while reducing MTTR by 40-50%.

Specialised training for service desk managers and technicians to deploy AI for ticket automation, incident resolution, knowledge management, and SLA optimisation. Resolve 60-70% of L1 tickets autonomously while reducing mean time to resolution by 40-50% across your client portfolio.

Duration2 days
InvestmentUSD $12,000 - $22,000
Best forService desk managers, L1/L2 technicians, and operations leads in MSPs and IT service companies

THE CHALLENGE

Sound familiar?

Our L1 team handles 500 tickets daily and 60% are the same issues over and over.

New technicians take 3 months to become productive because tribal knowledge isn't documented.

Ticket routing is manual and 20% of tickets go to the wrong team, causing delays.

Our knowledge base has 2,000 articles but technicians can't find the right one when they need it.

After-hours support is expensive and most overnight tickets are routine issues.

We measure first-call resolution but can't systematically improve it across the team.

Trusted by enterprises across Southeast Asia

Financial Services
Healthcare
Education
Manufacturing
Professional Services
Government

OUTCOMES

What you'll achieve

Problems you'll solve

  • 60%+ of tickets are repetitive issues suitable for AI autonomous resolution
  • New technician onboarding slow due to undocumented tribal knowledge
  • Manual ticket routing causing 20% misrouting and SLA delays
  • Knowledge base articles difficult to find despite extensive documentation
  • After-hours support expensive for routine issue types
  • First-call resolution inconsistent across technicians without systematic improvement

Value you'll gain

  • Automation: AI resolves 60-70% of L1 tickets without human intervention
  • Speed: Mean time to resolution reduced by 40-50% with AI-assisted troubleshooting
  • Routing: AI classification reduces ticket misrouting from 20% to under 3%
  • Knowledge: AI-powered search surfaces the right solution instantly from your knowledge base
  • After-Hours: AI handles routine overnight tickets at zero marginal cost
  • Onboarding: AI knowledge assistance reduces new technician ramp-up time by 50%

OUR PROCESS

How we deliver results

Step 1

Industry Assessment

We assess your current AI maturity, technology stack, and strategic priorities within IT service desk operations and incident management. This includes interviews with operations, leadership, and frontline teams to map your highest-impact use cases.

Step 2

Curriculum Customisation

We tailor all modules to your specific context within IT service desk operations and incident management. All examples, case studies, and exercises use scenarios your teams will recognise from their daily work.

Step 3

Hands-On Delivery

Interactive workshops using real-world scenarios from IT service desk operations and incident management. Each module combines concept explanation with immediate practice on tasks your teams perform daily.

Step 4

Use Case Development

Participants develop 2-3 AI use case proposals specific to their departments, with business cases, risk assessments, and implementation roadmaps ready for leadership review.

Step 5

Adoption Support

30-day post-programme support includes office hours, Slack access, implementation coaching, and a follow-up session to review progress on use case pilots and address emerging challenges.

What you'll receive

  • Service Desk AI Readiness Assessment
  • Ticket Classification Model Design
  • Top-20 Automated Resolution Workflow Designs
  • Knowledge Management AI Architecture
  • SLA Monitoring Dashboard Specifications
  • 90-Day Service Desk AI Roadmap
  • Post-Programme Support Package (30 days)

Best for

Service desk managers, L1/L2 technicians, and operations leads in MSPs and IT service companies

IS THIS RIGHT FOR YOU?

Finding the right fit

This is ideal for you if...

  • MSPs handling 200+ tickets daily with high proportion of repetitive issues
  • Service desks with SLA compliance challenges due to volume and staffing constraints
  • IT service teams with extensive but hard-to-search knowledge bases
  • MSPs wanting to offer after-hours AI support without overnight staffing costs
  • Service desk operations with high technician turnover and onboarding challenges

Consider another option if...

  • IT teams handling under 50 tickets daily (manual processes may still be sufficient)
  • Organisations needing custom ticketing platform development (try Engineering tier)
  • Service desks already running mature AI ticket automation at scale

See yourself in the list above?

Let's Talk

CURRICULUM

What you'll learn

2 days total

Understand how AI transforms service desk operations — from chatbot triage to automated resolution and intelligent knowledge management.

What you'll be able to do

  • Identify AI applications across ticket intake, classification, resolution, and knowledge management
  • Evaluate AI service desk tools compatible with your ticketing platform
  • Understand AI automation levels (L0-L3) and appropriate human handoff points
  • Map your service desk's highest-impact AI automation opportunities by ticket volume

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COMMON QUESTIONS

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