Too many subscriptions. Follow-up that gets dropped. Reporting that eats half a day every week. Knowledge lives in one person’s head.
AI gets used in pockets — a prompt here, a tool there — but never becomes part of how the business actually runs.
The problem isn’t the technology. It’s the lack of a system.
Most consultants lead with tools. We lead with working systems: a client assistant in daily production use, plus the agents, CRM, and reporting fleet that runs our own back office. We map where your time and money actually go, then build the system around what the map shows.
A sample of what’s been built and put into production — what each system replaced, and what runs in its place.
An AI assistant for a jewelry retailer that tracks repairs, sends timed client reminders and follow-ups, and handles day-to-day client messaging over Telegram. It runs on cost-efficient local models, with cloud models reserved for the work that needs them — hardened over months of daily production use and wired into the store’s e-commerce operations.
A support assistant for families of children with developmental disabilities. Its hand-verified knowledge base covers programs and resources across all 51 US states and DC, with guided onboarding and deadline tracking — and strict write-guards so it can never claim an action it didn’t take. PostgreSQL backend, privacy-first by design.
A pilot for an electrician that turns voice memos from the field into documented, timestamped work orders — each one anchored to a tamper-evident evidence chain with cryptographic hashing. Built provider-agnostic and delivered as a completed pilot.
Our own back office: a set of AI agents running client CRM, product-catalog sync, monitoring, and weekly reporting 24/7. Local open-weight models carry the bulk of the load; cloud frontier models are routed in through a broker only where they earn their cost. It’s the same cost-routing architecture the industry started marketing in 2026 — in production here first.