What each one includes, where it fits and the two ways to buy it.
The whole operation: several of the jobs below working together as one AI operating layer, installed on the tools you already use.
Instead of one automation, we install a whole operating layer: AI agents connected to your real tools (Google Workspace, Notion, your data), limited to what you allow them to do, with a dashboard your team actually uses.
ProofFor iBoatNYC, a multi-venue operation running 500+ events, we shipped 8+ automation systems on this architecture. It is the same one we run our own companies on, including a pipeline that runs every night with nobody watching it.
Every call, message and web enquiry answered and booked, day and night.
Most lost bookings are not lost to a competitor; they are lost to a missed call or a reply that came the next morning. Front Desk answers in your voice, from your prices, hours and policies, and books straight into the system you already use.
Revenue reconciled, invoices matched and the monthly numbers delivered.
The work that eats a manager's Monday: pulling sales out of every platform, matching them against payouts, chasing vendor invoices and rebuilding the same report. We run it as a pipeline, and a person checks anything that does not add up.
ProofWe have already merged two ticketing platforms into one automated view for a live events operation.
Lapsed customers brought back, no-shows recovered, reviews collected.
Your best source of revenue is the people who have already bought from you, and following up with them is the first thing to slip when the team is busy. This runs the follow-up on a schedule, in your tone, and reports what it brought back.
Bought lead lists get you names. This gets you the right ones.
We build a pipeline that pulls a public directory or data source, reads each prospect's own website, and uses AI to judge whether they genuinely fit your criteria. Anything the system is unsure about goes to a person instead of a guess. You get a clean, verified list, and if you want it, the sending side too.
ProofFor a pre-launch health platform, this pipeline narrowed 65,000+ national provider records to 6,000+ qualified specialists in about one week, against a plan that had scoped the review at roughly 13 weeks. The refresh still runs every night, unattended. We also built the sending setup behind it, including a segmented pilot list of 706 practices.
A free 20-minute call. We tell you whether it is worth automating, and where to start.