AI Workflow Systems
We study your operations, find where staff hours are being wasted, and build automation systems that remove the repeated work.
Most businesses don't need more AI. They need someone to look at what their staff actually do every day, and remove the work that software should already handle.
Find where the business is wasting time, leads, or staff energy. A one-page diagnosis you can actually act on.
Build a small working system that proves the fix. Targeted at one leak. Shipped in 1–2 weeks.
Turn the prototype into a real internal tool or workflow system. Integrations, staff handoff, documentation.
Businesses with repeated manual workflows, missed follow-ups, or staff spending 10+ hours/week on admin drag.
Clinics, multi-location practices, and professional service firms where the team is the bottleneck and the tools don't talk to each other.
Multi-location professional services firm
~20 staff hours/week recovered.
Faster lead response. Cleaner records.
60-second qualifier
This is a back-of-envelope check. If your workflows are leaking $20,000+/year through wasted staff hours, slipped leads, or avoidable mistakes, you qualify for a Workflow Leak Audit. The math is deliberately conservative.
What you spend payroll on every week to do work software should already handle.
Direct payroll burn on work that doesn't move the business forward. Add your own leaks — every operator has a few that don't fit the standard list.
Leads that went cold, calls not picked up, the wrong thing said.
Assumes only 25% of rescued leads would actually close — conservative on purpose. Uses lifetime value because a lost lead is a lost customer, not a lost transaction.
The customers you’ve already won but lost to refunds, comps, redos, or the wrong thing said.
Direct cost only. Doesn't price in the reviews you didn't get, the referrals that didn't happen, or the staff time spent apologizing.
Verdict — estimated annual leak
$107,880
That clears the $20,000/year qualification floor. You qualify for a Workflow Leak Audit. If even half of this is real, a focused prototype can pay for itself fast.
I'm Taran Singh. I run AI automation across 7+ companies under one parent group. Before that I built AI systems at Amazon and AWS and founded two health-tech startups in clinical operations.
Did all of this before 21, while finishing a CS degree at Cal Poly in two years.
Agamra exists because I've watched real businesses bleed real hours to work that software should already handle. With God's grace.
Background & stack
OpenAI
Anthropic
GoogleTrained on AI automation work at Amazon and AWS; systems are built on top of OpenAI, Anthropic, and Google models. Trademarks belong to their respective owners; references are for context only and do not imply endorsement.