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Support tickets and server alerts handled at 2 am, with your engineers in control

Hosting providers, managed service providers, DevOps teams and SaaS companies answer the same tickets and alerts every night. We build AI that resolves routine requests, triages alerts against your runbooks and follows up on renewals, while every fix waits for an engineer’s approval.

Book a free consultationWhere to start
One ticket at 2 am, from report to fixExample

  1. Customer

    Opens a ticket: their website is showing a 500 error

  2. AI

    Reads the ticket and checks monitoring. The server’s disk is 98% full

  3. AI

    Finds the matching runbook and prepares the fix: clear old logs and cache

  4. Your team

    On-call engineer approves the fix from Slack in one tap

    Approved

  5. AI

    Runs the fix, confirms the site is back and replies to the customer

    Resolved in 3 minutes

  6. Your team

    Morning report: tickets handled overnight, and the ones sent to engineers with summaries

In short

How do IT service companies and DevOps teams use AI?

IT service companies, hosting providers and DevOps teams use AI agents to resolve routine support tickets, sort server alerts and suggest fixes from runbooks, and follow up on renewals. An engineer approves every fix before it is applied. Acropine builds these agents and can supply them white-label to hosting companies and managed service providers.

Sounds familiar?

The same tickets, every day
DNS changes, SSL renewals, email setup and password resets fill the queue and slow down real problems.
Alert noise at night
On-call engineers are woken for alerts that need a two-minute fix, or no fix at all.
Renewals slip through
Expiring domains, unpaid invoices and failed payments are followed up late, and customers leave quietly.
Knowledge stuck in senior heads
New support staff take months to learn your stack, and answers vary from shift to shift.

What we build for IT services and DevOps

  • Ticket resolution

    Routine tickets answered from your knowledge base and past tickets, with the rest passed to an engineer with a summary.

    Customer support AI

  • Alert triage with runbooks

    Alerts grouped, logs and metrics checked, the likely cause explained and the runbook fix proposed for approval.

    Workflow automation

  • Renewal and billing follow-ups

    Reminders for renewals, unpaid invoices and failed payments on email and WhatsApp, written back to your billing system.

    Workflow automation

  • Sales and plan questions

    Pricing, plan and migration questions answered on chat and WhatsApp, with demos and calls booked for your team.

    Sales and WhatsApp AI

  • Contracts and vendor documents

    SLAs, contracts and vendor invoices read and summarised, with renewal dates and unusual terms flagged.

    Document intelligence

Built for how your business works

Engineers approve every change
The AI proposes fixes from your runbooks. Nothing runs on a server until a person approves it.
Least-privilege access
Read-only access by default, scoped credentials for approved actions, and every action logged.
Fits your existing stack
Works inside your helpdesk, monitoring, chat and billing tools, so your team keeps its workflow.

Connects with the tools you use

  • WHMCS
  • Freshdesk
  • Zendesk
  • Jira Service Management
  • Slack
  • Microsoft Teams
  • Prometheus
  • Grafana
  • Datadog
  • PagerDuty
  • AWS
  • Kubernetes

Using something else? If it has an API or a data export, we can usually connect to it.

Where most IT services and DevOps teams start

Start with the ten most common tickets

We look at your last few months of tickets, pick the ten request types that come up most, and let the AI draft replies for your team to approve. You compare speed and accuracy with your current queue before going further.

Plan this with us

Start smallA fixed-price proof of concept on your real data

  • Answers from your knowledge base and past tickets
  • Drafts approved by your support team first
  • Hand-over to engineers with a summary
  • A weekly report on volume, speed and accuracy

Common questions

Will the AI make changes to our servers on its own?

No. It only reads logs and metrics by default. Fixes are proposed from your runbooks and run only after an engineer approves them, and every action is logged.

Can it work with our helpdesk and billing system?

Yes. We connect through the APIs of common helpdesks, monitoring tools and billing systems such as WHMCS, so tickets, replies and payment status stay in the tools your team already uses.

Can we offer this to our own customers?

Yes. Hosting providers and managed service providers can offer an AI support desk to their customers, set up and run by us behind the scenes.

Other industries

Can’t find your industry?

The same AI agents work in any business where a team repeats the same process every day. If your industry isn’t listed, we’d still like to hear about it.

  • Insurance
  • Logistics
  • Manufacturing
  • Legal
  • Hospitality and travel
  • SaaS
  • Retail
  • Financial services

Tell us three things, and we’ll tell you honestly if AI can help

  1. 1

    The process

    What your team does, step by step, and where it slows down.

  2. 2

    The volume

    Roughly how many calls, messages or documents a month.

  3. 3

    The tools

    The CRM, ERP, helpdesk or spreadsheets it runs through.

Tell us about your processor email contact@acropine.com