AI Automation

Your MSP engineers are spending half their day on work that AI can automate

We build AI automation for MSPs that handles ticket triage, runs playbooks, generates client reports, and escalates only what needs a human — without replacing your team.

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The challenges you're facing

L1 tickets eating L2/L3 engineer time because there's no intelligent triage layer

Repetitive runbooks that engineers execute manually every single day across multiple clients

Monthly reporting taking 2–3 days of manual data collection from a dozen different tools

Intelligent Automation Built for MSP Operations

We automate the high-frequency, low-complexity work that clogs MSP service desks: ticket classification, runbook execution, monitoring alert response, and client reporting. Our AI layer sits between your RMM/PSA and your engineers — resolving what it can, escalating what it can't, and logging everything for compliance.

What you get

Ops Audit

Analyse ticket types, resolution patterns, and runbook inventory to identify the highest-ROI automation targets.

Automation Blueprint

Design the triage logic, escalation rules, runbook execution flows, and PSA integration architecture.

Build & RMM/PSA Integration

Deploy automation connected to your existing ConnectWise, Autotask, NinjaRMM, or Datto environment.

Reporting & Optimisation

Live dashboards showing automation coverage, engineer time saved, and MTTR improvement week-over-week.

Technologies & tools

ConnectWiseAutotaskNinjaRMMOpenAILangGraphZapiern8nPowerShell

Case study — anonymised

Managed Service Provider — 120 clients

Before

Service desk receiving 800 tickets/month. L2 engineers manually triaging and resolving 60% that were routine password resets, patch confirmations, and disk space alerts.

After

AI triage + runbook automation handles 480 of 800 tickets autonomously. Engineers only touch complex and escalated issues.

60% ticket auto-resolution rate, 22 engineer hours saved per week, MTTR dropped from 4.2h to 1.1h

Frequently Asked Questions

Common questions from enterprise and mid-market teams across India and internationally.

Will AI automation replace our MSP engineers?

No. AI automation handles the repetitive, rules-based L1 work that burns out good engineers. Your engineers move up to complex troubleshooting, client relationships, and architecture work — the things that grow your business and retain staff.

Which PSA and RMM platforms do you integrate with?

We integrate with ConnectWise Manage, Autotask, Datto, NinjaRMM, Kaseya, HaloPSA, and SuperOps. If you use a less common platform, we can integrate via REST API.

How do you handle tickets that the AI can't resolve?

Any ticket where the AI confidence is below threshold, where the action is high-risk, or where it's a new pattern it hasn't seen gets immediately escalated to a human with full context attached — so the engineer doesn't start from scratch.

What's the typical ROI timeline for MSP automation?

Most MSPs see measurable ROI within 60 days of go-live. With 60–70% ticket auto-resolution and 15–25 engineer hours reclaimed per week, the payback period on the implementation fee is typically 3–4 months.

Ready to get started?

Tell us about your situation and we'll respond with a tailored assessment within one business day.