Your AI infrastructure partner for today and tomorrow.
LFT implements AI workflows and operational infrastructure for businesses seeking methodology, governance, and a named human delivery owner, not raw agent capability.
SEC.01 The challenge
Operators tell us the same four things. See what we do about it.
I already have a 50-hour week. I know I need to do something, but I can't afford to get it wrong.
Two of our best reps get great results, but they sell completely differently. Customers notice.
These are the things people hate doing most. So they get done last, if at all.
We know there's money stuck in the business. We just don't have the time or expertise to get it out.
SEC.02 How it works
Structured intake becomes your build list. A named human delivery owner works through it in four phases. One continuous path from inventory to delivery.
The work your team does most often. This is where automation pays for itself.
Where work slows down, gets handed off, or gets redone.
Intake through the Leverage Model. Most Common Tasks, friction inventory, first workflows designed.
Built and shipped inside your trusted perimeter. You approve what runs before it runs.
Working systems extend to more tasks from the list and to more of your team.
Deeper operational infrastructure, built and run under the same governance.
SEC.03 What we build
Six systems we install from your build list. Each one is plain to see and plain to govern.
Get off a call, check the CRM. It's already updated. No one touches a record by hand.
Every call, email, and document your business touches, indexed and queryable. Knowledge stops getting lost.
Scored, researched, sequenced. Human approval.
One-page business cases in the customer's words.
Why deals stall and why current accounts are upset.
Ask your data a question and get an answer no one would have thought to prompt. Example: which lost deals will buy again in 9 months, and why.
Every engine runs inside your trusted perimeter, with a named human delivery owner.
SEC.04 Governance
You always know what is automated, where, and with what authority.
SEC.05 Results
Targets we engineer toward in every engagement.
SEC.05b Live model
Drag the sliders. The model recomputes your reclaimed hours and recovered margin in real time. It's the kind of live tool the React build makes easy to ship.
Rough numbers are fine. We model the real ones in discovery.
At ~60% automation coverage.
Illustrative model. Coverage, rates, and scope are set with you during discovery, not promised by a slider.
SEC.06 Pilot entry
The first engagement is small on purpose. It proves the methodology on your operation before you commit further.
The pilot has a fixed start and a fixed end. No open-ended consulting.
During the pilot, your spend is limited to the tools the work requires.
We agree on the win up front. The pilot is done when you can see it working.
SEC.07 FAQ
Businesses in the $1M to $100M revenue range, run by operators who do not have an internal AI engineering team.
Thirty minutes. We learn your operation, you learn the methodology, and we both decide if a pilot makes sense.