JustAutomate builds AI agents and process automations for IT Companies. We address the specific challenges of your industry: project tracking, time logging, client reporting, technical support volume. First results in 30 days.
Book a free consultationJustAutomate builds AI agents and process automation for B2B companies, and IT companies — software houses, dev shops and managed service providers — bring a specific operating pattern: work is tracked in Jira, Linear or GitHub Issues, hours are logged in Toggl or Harvest and then re-typed into an invoicing tool, and support tickets move through L1/L2/L3 tiers with an SLA clock running underneath. This page covers what we automate in that environment, what the ROI typically looks like and how a project with us starts.
After running process workshops with multiple IT companies, the same bottlenecks show up almost every time: copying ticket status from the project board into a client report by hand, reconciling logged hours against Git activity before an invoice goes out, triaging support tickets by inbox instead of by SLA priority, and onboarding documentation scattered across Confluence, Notion and old Slack threads. These are high-value targets for automation because they are repetitive, rule-based and time-consuming — exactly the conditions where automation delivers the fastest ROI.
The most impactful automation areas for IT companies: automated client status reporting pulled straight from the project board, time-tracking-to-invoice reconciliation, AI-assisted support ticket triage, and an IT helpdesk assistant that drafts first responses.
Simple automations — like a daily digest of overdue tickets pulled straight from Jira or Linear — that take 1-3 days to implement and immediately save 3-5 hours per week of manual status-chasing.
Core workflow automation such as syncing logged hours from Toggl or Harvest into your invoicing tool automatically, or generating the weekly client status report straight from the project board. Typically 5-15 hours saved per week across PMs and delivery leads.
BOND deployment connecting to your project management tool, ticketing system and documentation. Your team asks questions in plain language — like which tickets are blocking a release — and gets answers from your actual data.
Expand into DevOps alert triage, automated incident postmortem drafts or utilization-rate dashboards across teams, built on what already proved out in earlier phases.
Typical outcomes we deliver for IT companies within 90 days:
IT companies run on tools most other industries don't touch day to day — Jira, Linear, GitHub, PSA and time-tracking software — and often handle client source code or infrastructure access under NDA. We design automations around those tools and constraints, including access control, audit trails and compliance documentation where clients require SOC 2 or ISO 27001 evidence.
We identify this in a free initial consultation by mapping your current delivery and support workflow. For most IT companies, the first project is either automated client status reporting from the project board or time-tracking-to-invoice reconciliation — both typically save 5-10 hours per week from week one.
No. Process documentation is part of what we do during the discovery phase. Your PMs and delivery leads walk us through how sprints, tickets and invoicing actually work today — we capture, structure and document it as part of our process workshop.
Yes. We sign data processing agreements (DPA) before accessing any client data, repositories or ticketing systems. All integrations run over encrypted connections, and for clients under NDA or regulated engagements we offer on-premise or private cloud deployment.
We'll show you how BOND or the Personal Agent works on sample data. No generalities — a concrete case from your industry.
No reception, no helpdesk, no tickets. I'll answer directly: whether this makes sense for your company and what the first step would be.