Automate the work nobody should be doing by hand
We build AI agents that handle repetitive tasks: sorting emails, processing invoices, compiling reports, sending follow-ups. They follow your rules and escalate when something's unusual.
The problem
Every business has tasks someone does every day on autopilot. Reading and sorting incoming emails. Categorizing expenses. Following up on overdue invoices. Compiling the weekly report from three different sources.
These tasks aren't hard, they're just tedious and repetitive. And they eat hours that your team could spend on work that actually moves the business forward.
Automations we commonly build
Email triage
Incoming emails get read, categorized by urgency and topic, routed to the right person, with draft responses prepared for straightforward requests. Your support lead reviews the tricky ones. The rest are handled before they finish their coffee.
Invoice processing
Invoices arrive, get matched to purchase orders, flagged for discrepancies, and queued for approval with the right data pre-filled. No more chasing missing PO numbers.
Weekly reporting
Data from multiple tools gets pulled, summarized, and delivered to your inbox every Monday morning without anyone lifting a finger. Always current, never a scramble.
Follow-up sequences
Overdue invoices, unsigned contracts, and unanswered proposals trigger automatic, personalized follow-ups on a schedule you define. Nothing slips through the cracks.
Data cleanup
Duplicate records, incomplete entries, and formatting inconsistencies get caught and flagged (or fixed) automatically. Your data stays clean without anyone policing it.
How this differs from Zapier or Make
Zapier connects apps with simple "if this, then that" rules. That works for basic triggers. But when you need an agent that reads context, makes decisions, handles edge cases, and adapts to messy real-world data, you need something custom.
We often use Zapier or Make as one component inside a larger system, not as the entire solution.
What you get
A system that runs in the background, doing the work your team used to do manually. We build it, test it with real data from your business, tune it until it handles edge cases properly, and monitor it ongoing.
Most automations are live within 2-3 weeks.
Tell us what your team does every day that a machine should be doing
We'll identify the highest-impact automation and scope it out for you.
hello@telora.dev