AI agents for Service / customer ops

8 ready-to-adopt AI agents for Service / customer ops — Ticket Triage, Response Drafter, Escalation Watcher and more — each with its steps, systems and…

  • Automation

    Ticket Triage

    Categorizes, prioritizes, and routes every inbound support ticket.

    ServiceNow · Zendesk · Intercom · Slack · Microsoft Teams

  • Assistant mode

    Response Drafter

    Drafts ticket replies grounded in the knowledge base and account history.

    ServiceNow · Zendesk · Intercom

  • Autonomous

    Escalation Watcher

    Detects at-risk and SLA-breaching tickets and escalates them with context.

    ServiceNow · Zendesk · Intercom · Slack · Microsoft Teams

  • Autonomous

    Knowledge Gap Finder

    Mines recent tickets for questions the knowledge base can’t answer.

    ServiceNow · Zendesk · Intercom

  • Assistant mode

    Customer Onboarding Driver

    Drives a new customer through onboarding steps and nudges blockers.

    Salesforce · HubSpot · Microsoft Dynamics 365 · ServiceNow · Zendesk · Intercom

  • Autonomous

    Customer Health Monitor

    Maintains a customer health score and alerts on drops.

    Salesforce · HubSpot · Microsoft Dynamics 365 · ServiceNow · Zendesk · Intercom

  • Autonomous

    Refund Approver

    Evaluates refund requests against policy and approves or refers.

    ServiceNow · Zendesk · Intercom

  • Autonomous

    CSAT / NPS Analyzer

    Analyzes survey verbatims into themes and recommended fixes.

    ServiceNow · Zendesk · Intercom

Why offload this process to tacitrun’s AI operating layer

tacitrun is built for exactly this handoff: a business team describes the process it already runs, and the platform turns it into governed domain agents that work across the systems you have, under your IT’s approval, with every write waiting for a person.

Built from your procedure, not a vendor template
Describe the process in plain English or hand over the SOP. tacitrun compiles it into a process graph and composes one domain agent per step, so the agents carry your rules, your exceptions and your vocabulary.
Tested against the process before it can act
Evaluation cases are derived from the graph itself, so a passing agent is one that does what your process says. Then it runs in shadow beside your team on real work before anyone lets it act.
Every write stops for a person
The approval gate sits on the actual call to Salesforce, Shopify, SendGrid, SAP or any connected system. A person accepts, modifies or rejects; the corrected version is what executes; the trace keeps the record.
Runs across the systems you already have
Built-in connectors, your own REST APIs or MCP servers, and on the Enterprise plan your own cloud project and your own models. The systems of record stay where they are; the layer does the work between them.
IT approves, business leads
Business users build and prove; IT connects the credentials, binds the fields and approves before anything goes live. Neither side inherits the other’s risk.