Applied, agentic AI for consumer brands. We design, build and run AI agents that automate the work and surface the revenue — connected to your real data, with humans in control. Not an AI strategy deck. Working software, shipped and run.
Agents that connect your commerce, marketing and booking data — Shopify, Google, Mindbody and more — to surface where revenue is leaking and what to do about it, delivered as a plain-language summary your team actually reads.
Multi-agent systems built on your live stack — CRM, Airtable, your tools — that handle sourcing, outreach, reporting and admin. Human-in-the-loop by design: actions are prepared as drafts for review, never fired off unchecked.
Automate the weekly grind — channel performance reporting, customer-service triage, creator and influencer pipelines — so the team spends its hours on judgement, not copy-paste. Measured in hours saved and speed gained.
Hands-on programmes that leave your team able to run and extend the tools themselves — not dependent on us. A practical AI 101 workshop, then the playbooks and guardrails to keep building.
Which AI bets are worth making, and which are hype — sized against real payback, feasibility and risk, so you invest where it moves a number, not where it's fashionable.
Founder-built: an AI revenue agent for consumer SMBs that connects Shopify, Google and Mindbody data and flags where revenue is leaking, with a WhatsApp daily-summary format in testing with studio owners. Stack: Vercel, Supabase, LLM APIs.
Designed and built a four-agent system — sourcing, business development, marketing and an executive assistant — on a live Airtable CRM, with human approval built into every workflow and actions prepared as drafts for review.
As AI operations advisor, we built the agents that took reporting and admin off the team's plate — and taught them to run it themselves.
A fast-growing skincare brand with a lean team spending hours each week on manual channel reporting, customer-service triage and creator-gifting admin — time that should have gone into growth.
Built AI agents to automate weekly channel performance reporting, customer-service triage and the creator-gifting pipeline — with human approval built into each workflow. Then ran a three-hour hands-on AI 101 programme so the team could operate and extend the tools without us.
Around five hours a week saved on reporting and automation, operational speed up roughly 10%, and a team that can now build on the tooling itself — AI that pays back and sticks.
An AI agent carries out a real business task end to end — producing your weekly channel report, triaging customer service, running a creator-gifting pipeline, or flagging where revenue is leaking across Shopify, Google and booking data. We build agents wired into your real systems, with human approval built in.
Both — but we lead with building. We don't hand over an AI strategy deck and leave; we design, build and run the agents, then train your team to extend them. Our founder builds AI products (Pulse, an AI revenue agent for consumer SMBs), so this is hands-on engineering, not advice from the sidelines.
Human-in-the-loop by default. Agents prepare actions as drafts for a person to review and approve, rather than acting unchecked — the speed of automation with the judgement and accountability of your team.
For Facetheory we automated weekly reporting, customer-service triage and creator gifting — saving ~5 hours a week and improving speed by 10% — then upskilled the team to run it themselves.
Tell us what you're trying to move — we'll tell you, straight, whether and how we'd fix it.