The problem is not a lack of AI tools. It is turning repeated work into a system your people can trust. Feanor finds the three workflows with the highest value, installs them inside the tools you already use, and trains the people who own them.
It needs repeated work to happen faster, with fewer mistakes and less dependence on the owner.
Calls go unanswered. Website inquiries sit in an inbox. Staff follow up differently. Money already spent on demand disappears between first contact and the calendar.
The same information gets copied between emails, spreadsheets and templates. Senior people spend hours preparing work that still needs checking.
Only one person knows how a process works. New staff ask the same questions. Decisions vanish into calls, chats and private notes.
Employees try separate products with no policy, tests or shared method. The business pays for subscriptions but never gets a working operating system.
Every chosen workflow gets a business owner, an acceptance test, a human approval rule and a runbook.
Chosen by financial value and readiness, then built one at a time.
Someone inside the company knows when it works, when it fails and what happens next.
Your team receives the process, access map, tests and operating instructions.
We start with the process, not with a favorite tool.
We map repeated work, delays, errors, staff time, customer impact and the data needed to improve it.
Together we rank the backlog and agree what success means before implementation starts.
We integrate one workflow at a time, test it on real examples and keep human approval where judgment matters.
Your staff learns how to use, review and improve the system. Every workflow gets an owner and runbook.
You can choose from the highest-value opportunities across your company. We keep one active build at a time so work reaches production.
A three-month engagement designed to put three agreed workflows into real staff use.
Three-month minimum. $18,000 total. No setup fee. Larger integrations and private hardware are quoted separately.
We do not learn implementation on your company.
Four deployments of the same operating pattern serve teams across three countries.
Our own 96 GB GPU system serves language, coding, image and video workloads behind one private interface.
Production systems transcribe field notes, answer from company records, verify sources and book around the clock.
Repeatable internal pipelines produce branded visual work without relying on one lucky generation.

Francisco has spent 15 years building technology companies and teaching. He was named an MIT Technology Review Innovator Under 35 in 2018, wrote Beat the Humans on the future of work with AI, and has spoken at Google I/O, Imperial College London and the World Economic Forum.
Today he builds and operates production AI systems for teams across three continents. Feanor turns that experience into practical implementations a client can test, understand and operate.
Tell us where customers wait, where staff copy information, where senior people repeat the same task, and where knowledge disappears. We will identify the best first three workflows and show you what implementation requires.
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