Launched this week
ServiceBrief AI
AI capture layer for busy field service teams
7 followers
AI capture layer for busy field service teams
7 followers
ServiceBrief AI helps HVAC, plumbing, electrical, roofing, appliance repair, and maintenance teams turn calls, emails, voicemails, technician notes, and field updates into organized jobs, service reports, follow-ups, customer summaries, and quote opportunities. By using each company’s own price book, SOPs, service history, and internal knowledge, ServiceBrief AI creates outputs that are more specific to how that business actually works.
Hi everyone 👋- I’m Kristijan, co-creator of ServiceBrief AI.
A little more context on what we’re building:
ServiceBrief AI is not only about turning a single customer call into a job note.
The bigger goal is to help service teams capture important work across calls, missed calls, voicemails, emails, technician notes, and field updates — then turn that into:
• organized jobs
• service reports
• follow-ups
• customer summaries
• quote opportunities
One part we’re especially focused on is company-specific context.
ServiceBrief AI can use a company’s own price book, SOPs, service history, and internal knowledge. We use advanced semantic RAG to search and retrieve the right business context, so the output is not just a generic AI summary.
For example, if a technician mentions a part, maintenance recommendation, or possible follow-up, the system can connect that with the company’s actual services, pricing logic, previous job history, or internal procedures.
That’s where we think the real value is:
Not just writing notes faster, but helping service businesses catch work and revenue opportunities that often get lost before they ever make it into the system.
Happy to answer questions and would really appreciate honest feedback from anyone working in field service, SMB software, vertical SaaS, or AI workflow automation.