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Case study · IT operations · AI agents

An AI front desk, connected to your ticketing system

How an IT services team put a voice and chat agent in front of ServiceNow and Jira, resolving routine requests instantly and handing engineers only the work that needs them.

Client
IT Services & Operations
Region
India & US
Capabilities
Voice & Chat AI · Ticketing Integration
Timeline
3 weeks to deployment

The impact

  • 65%

    of routine requests resolved at first contact, without an engineer

  • < 2 min

    from first contact to a correctly categorised, routed ticket

  • 24/7

    front-desk coverage across voice, web chat and WhatsApp

01 The challenge

Skilled engineers were spending their days as a switchboard.

First-line engineers and support staff were overwhelmed by high-volume, routine enquiries: password resets, ticket status lookups, and basic triage. Skilled engineers were spending up to 40% of their working day manually categorising tickets and answering repetitive questions.

Response times suffered during peak business hours and after-hours coverage was limited, leading to breached SLAs and frustrated internal users.

02 Our approach

Start from the ticket data, not the technology.

  1. Discover

    Ticket-mix analysis, intent clustering, SLA and escalation mapping

  2. Design

    Conversation flows, enterprise authentication, and handoff protocols

  3. Build

    Voice & chat agents, ticketing APIs, knowledge retrieval, and evaluation suite

  4. Roll out

    Shadow testing, phased production go-live, and team runbooks

We audited six months of historical ticket logs to identify the top fifteen recurring intents. Rather than attempting to automate everything, we isolated high-confidence routine flows for automated completion, while routing nuanced issues to human engineers with full conversational context.

03 The solution

What we built

  1. Employee / customer

    call · chat · WhatsApp

  2. AI front desk

    answers · triages

  3. ServiceNow · Jira

    create · update · route

  4. L2 engineers

    escalations with context

We built an integrated front desk powered by Retell AI for natural voice telephony and web chat interfaces. The agent authenticates callers, queries the internal knowledge base for verified answers, checks live ticket statuses via REST APIs, and drafts or updates tickets directly in ServiceNow and Jira.

When an issue requires human escalation, the agent transfers the session along with a structured summary, eliminating the need for users to repeat themselves.

04 The outcome

Faster resolution times and happier support engineers.

First-contact resolution for tier-1 enquiries reached 65%, with zero after-hours queue backlog. Over 120 engineer-hours were recovered per month, allowing the team to beat their resolution SLAs consistently.

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