We plan it, build it and hand it over.

One team takes your first workflow from business case to production, inside your own systems, then trains your people to run it. First agent live in under a month.

Book a POCBook a demo

Why most AI stalls after the pilot.

Too many tools
Every team buys its own assistant and nothing connects. We put people and agents on one platform.
Scattered data
What an agent needs to know sits in ten systems. We bring it into one company context, under your access rules.
No owner
AI sits with a small technical team and nobody owns the result. We name the owner, the metric and the target before anything is built.
No trust
Security and legal cannot approve what they cannot see. You choose where it runs, and every action is logged.

Three services, one team.

In order, each building on the last.

Step 1

Strategy

Pick the first workflow and put a number on it.
10 days
One-time fee
  • Starts with two hours with your leadership
  • A map of your operations, ranked by impact
  • A business case and KPI targets for the first workflow
  • A deployment proposal: scope, team and timeline

Step 2

Deployment

Build the first agent on your live systems.
4 weeks
One-time fee
  • An engineer and a product lead inside your environment
  • Your systems connected and your company context built
  • A working agent in production, measured against the target
  • Your team alongside from the first day

Step 3

Platform

Run it, measure it and add the next workflow.
Ongoing
Seat, usage or outcome pricing
  • Seat licence, per person using the platform
  • Usage fee per resolution: a conversation resolved, an invoice processed, a ticket closed
  • Outcome-based where agreed, tied to the business result

Deployment team

Two people lead every deployment.

Makes it run

Forward-deployed engineer

  • Builds and deploys the agent directly against your live systems
  • Connects your systems and fits the workflow into how you already work
  • Sets up monitoring, then tunes against real usage
  • Works side by side with your engineering teams

Makes it pay

Product and strategy lead

  • Finds the starting workflow with the most impact, with your team
  • Fixes the metric and the business case before anything is built
  • Holds the work to the return agreed up front
  • Drives adoption and keeps stakeholders on side
Handover

We build the first one. Your team builds the next.

1

We build, you shadow

Our team builds the first agent in your environment while yours works alongside, seeing every decision.

2

You build, we review

Your team takes the next workflow; we review, unblock and hold the quality bar.

3

You run it, we expand

Your team runs what is live. We help open the next area when you choose to.

After handover

Who owns what once it is live.

Owns the platform

Your central IT function

  • Administers access, security and model routing for every agent
  • Connects new systems without waiting on us
  • Keeps reusable patterns, so each workflow ships faster than the last
  • Reviews governance and usage data as a standing practice

Owns the workflow

Your business functions

  • Choose and prioritise their own next use case
  • Change the agent’s rules themselves when their process changes
  • Bring neighbouring teams in as usage spreads
  • Own the business case and the return on it

Hosted where you need it.

Multi-tenant
Our managed cloud. Always current, watched by our team, logically isolated and autoscaling.
Single-tenant
A dedicated, isolated stack, kept current and configured the way you need.
Private cloud
Runs inside your cloud account. Data stays within your walls; you decide security, governance and when to upgrade.
On-premise
Fully offline on your hardware, nothing calling out, with our engineers on site to maintain it.

Where this takes you.

The first agent is the start. This is what the next three years look like when it works.

  • A handful of early champions use AI chat tools
  • Individuals get faster; the company’s numbers don’t move
  • No one can say what is used, or what it is worth
  • People still do the work; AI answers questions, it doesn’t act
  • Customers served around the clock on voice, chat and messaging
  • Routine work moves through the queue without waiting on anyone
  • Leadership sees AI’s contribution on the P&L monthly, by function and use case
  • Your own teams build and run agents, and see AI spend per task
  • Gains fully realised on the top and bottom line
  • Agents handle most routine work; people set direction and handle exceptions
  • One company context shared by the whole organisation; every use case starts from the last
  • No dependence on a vendor to keep improving

Founders and team.

Ahmet Onur

Ahmet Onur

CEO

  • Built and led Türkiye’s largest office operator
  • 40+ locations, 250 people, around 10,000 B2B clients
Cem Ruso

Cem Ruso

CPO

  • Founder of Datapad, a generative AI startup
  • Founding CPO of BluTV, exited to HBO
  • Years of shipping AI agents to production

A top-tier engineering, strategy and data team from leading institutions.

Bain & Company, EY, Hepsiburada

Questions about working with us.

The first agent is in production four weeks after kickoff. The strategy work before it takes ten days and starts with a two-hour session with your leadership.

Next step

Start with one workflow.

Two hours with your leadership. Ten days to a business case. Four weeks to a working agent on your data. No commitment.

Book a POC