Agent Case Studies
What we've built.
Every agent below was built for a real operator with a real problem. Each one is now running production traffic across our portfolio.
Emma AI BDR
SDRs spend 70% of their time on prospect research, list-building, and writing first-touch emails. That work is repetitive, sub-judgment, and burns out the people you hired for closing.
AI Receptionist
Missed calls are missed revenue. Voicemail filters out high-intent buyers. Answering services take messages and that is it. Front desk staff handle calls inconsistently and only during hours.
AI Smile Simulator
Cosmetic dentistry practices lose patients at the consultation booking step. People want to see the outcome before they commit. Most practices have no way to show it without an in-office visit.
AI Skin Analysis
Aesthetic patients shop providers before they ever pick up the phone. Without a way to engage them at the consideration stage, you lose them to the practice down the street with better marketing.
AI Content Engine
Content velocity is existential, but production is the bottleneck. Briefs, drafts, approval loops, scheduling, by the time it ships, it is stale. Most teams publish at 20% of their target.
AI Lead Qualifier
Inbound leads stack up unscored. Sales touches them in the order they arrived, not in the order they should. High-intent buyers get treated like cold leads. Hot leads go cold while you triage.
AI Onboarding Agent
New clients lose momentum in the gap between contract and kickoff. Manual onboarding is slow, inconsistent, and expensive. You hire a coordinator. They send the same emails every week.
Custom Multi-Agent System
Mid-market and enterprise operations have multiple repetitive layers, sales, content, ops, onboarding, support. Single agents solve point problems. Coordinated agent stacks run entire functions.
Measure The Return
What would an agent return for your operation?
Go Deeper
Read the research.
Field notes and frameworks from building agents across industries.