You didn't start a business to wear every hat in it.
Yet that's the game.
Tuesday, 4:04 PM. A prospect fills your form. The reply goes out Thursday — polite, apologetic, two days late. They booked Wednesday with whoever answered first.
Every proposal is last month's proposal, hand-edited, with the old client's name hiding in paragraph four.
Onboarding lives in your head. So every new client costs a week of your head.
Three deals are one nudge away from closing. The nudge has been on your list since Tuesday.
Forty-one unread. Two of them matter. Finding out which two is somehow your job.
Monday morning goes to compiling the report nobody reads before Thursday. Every week. Forever.
Not everything needs you. It just needs doing. So we build the workers that do it.
One worker, one job, taken end to end — not a platform rollout. Leads go first because slow costs the most there: an unanswered lead isn't waiting, it's shopping.
Leed answers every inbound in minutes, any hour — a real reply in your tone, not an autoresponder. It asks your qualifying questions, books the call, logs the lead to your CRM, and hands off the moment a human should step in. You wake up to booked calls, not cold leads.
more likely to qualify a lead answered in 5 minutes vs 30
the average B2B reply time. Nearly two days
of companies actually answer within 5 minutes
// why inbound usually wins — the classic MIT / InsideSales lead-response study
We're building Leed — this exact worker — to run our own inbound before we wire it into anyone else's. We won't sell you anything we wouldn't trust with our own leads.
“I've shipped software for twenty years — BMW, Allianz, and a shelf of products of my own. Automation doesn't fail at the AI step. It fails at the mapping step. So that's the step we refuse to rush.”
We sit with whoever does it today and write down every step, every exception, every judgment call. Unglamorous. Also the entire reason it works.
The worker goes live with us in the loop. You approve everything it sends — until you're bored of approving.
It runs in your stack, on your accounts, in your repo. If we vanished tomorrow, it keeps working. (We're not planning to.)
Once one worker is earning its keep, the next jobs are obvious — the proposal that drafts itself, the onboarding that runs itself, the Monday report nobody wants to compile. Every worker is trained on your business, wired into your stack, and 100% owned by you.
The front desk that never misses an inbound.
The inbox, triaged and answered.
New customer signed → kicked off, same day.
The deals you let go quiet, chased.
Klarq, Scooper, Arguz — our own AI products, in production, with users. The same stack, the same standard, and the same senior engineering that goes into your worker.
The hands behind them have shipped production systems for 20+ years — from enterprise work for BMW and Allianz to startup MVPs to the AI-native products above. And Leed, our first AI worker, runs on our own inbound before anyone else's — we ship our own before we ship yours.
Agentic Digital Experience Platform
Turning raw data into plain-English answers.
AI interface components
The building blocks our AI products are made of.
We're documenting recent builds now. The fastest way to see what we'd do for you is a call. We'll walk you through the work and the workers.
AgentiveStack doesn't stand alone. It's part of an ecosystem. A community, a set of products, and everything else we're building in the open.
One call. Tell us where the hours go. We'll tell you whether a worker fits — and if it doesn't, we'll say so.