Put AI to workwhere the work happens.
We integrate AI into the tools, workflows, and products your business already runs on
AI employees for the jobs your team is ready to hand over.
One worker, one bounded job, integrated end to end. Lead handling, inbox triage, onboarding, follow-up—trained on your business, wired into your stack, and 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.
The stack changes.
The work underneath is familiar.
The useful starting point is rarely “add AI.” It is a job, handoff, or product surface that already matters—and should work better than it does today.
Agencies & studios
Inbound, proposals, onboarding, reporting, and the client work that still depends on the founder remembering it.
SquadService businesses
Lead qualification, booking, follow-up, support, and the handoffs between the front desk and the rest of the team.
SquadSeed-stage software teams
AI-native product features, data workflows, technical decisions, and the product velocity a founding team cannot hire fast enough.
ZeroHourLean operations teams
Inbox triage, internal handoffs, recurring reporting, and data that needs to move cleanly between systems.
ServicesStart with reality.
Build around it.
The model is the same whether the outcome is one AI worker or the product itself: understand the system, build in context, and leave the client stronger than we found them.
- 01
Map the system
We trace the people, tools, data, exceptions, and judgment calls involved today.
- 02
Build inside it
We integrate with the real stack and test against real work—not a polished demo environment.
- 03
Run it together
We stay in the loop until it clears the agreed conditions. You keep the code, accounts, documentation, and off-switch.
We build the systems.
And the tools behind them.
Klarq, Arguz, and AgentiveUI are part of the working context behind AgentiveStack: AI products and tooling that keep the integration work grounded in what we actually build.
The same practice spans enterprise systems, startup products, and owned AI workers: senior judgment, direct accountability, and software designed to be continued after the handover.
Klarq
Agentic Digital Experience Platform
Turning raw data into plain-English answers.
AgentiveUI
AI interface components
The building blocks our AI products are made of.
The proof is shipping...
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.
Senior engineering, directly accountable.
AgentiveStack is led by Hak, a product engineer with more than twenty years across enterprise software and startups—from BMW and Allianz to AI-native products and founder-led builds. The person shaping the system is the person responsible for shipping it.
From Fortune 500 companies to fast-moving startups
Bring us the workflow—or the product—that needs to move.
One call to find where AI belongs, what the first useful integration looks like, and whether Squad, ZeroHour, or a smaller starting point fits.
- Build a custom AI agent
- Engineer the whole product
- Start with an audit