Sera

What Sera is

Sera is a newer platform built on the argument that most dispatch software schedules by availability rather than by profitability. Its scheduling engine estimates job duration and value and fills the day accordingly, with flat-rate pricing, memberships, and financing presented to the customer in the field. Positioned as a lighter-weight alternative to the enterprise platforms.

What it does well

• Scheduling optimised for job value, not just availability
• Memberships and financing presented in the field
• Modern interface and quick onboarding for its depth
• Clear focus on technician productivity metrics

The AI, specifically

Automated job duration prediction and schedule optimisation.

We name what the AI actually does rather than repeating the word, because in this market it covers everything from a genuine voice agent to a template that fills in a customer name.

Integrates with

QuickBooks Online · Payment processors

Integration lists change often and "integrates" can mean anything from a real two-way sync to a one-way push through Zapier. Ask the vendor which fields move, in which direction, and how often.

Before you commit

• Run one real job end to end during the trial — quote, schedule, invoice, payment. Demos hide friction; a real job does not.
• Check the mobile app on your own phone, outdoors, on cell data. That is where your crew will actually use it.
• Confirm the accounting sync is two-way and that it maps to the way your bookkeeper already works.
• Ask what happens to your data if you leave. Export formats matter more than you think on day 400.
• Price it at the headcount you expect in 18 months, not today — per-user pricing is where budgets break.

How to judge it in a trial

Run one real job through it end to end — not the demo data. Quote it, schedule it, do it, invoice it, take the payment. Then ask the only question that matters on day 400: did the people who have to use this every day find it faster than what they do now? Friction you notice in week one compounds forever, and tool-hopping costs more than any feature gap.