We put AI to work inside the enterprise.
Strategy, deployment and results on one platform. First agent live in under a month.
resolved without a person in the loop, on beta
Retail case study
The problem
AI is everywhere. Profit impact is not.
use AI regularly in at least one business function
have scaled it across the enterprise, up from 38% a year ago
see profit impact from it
Source: McKinsey, The state of AI in 2026: On the road to ROI.
The answer
We close that gap as one partner.
The platform your people and agents work on, the engineers who put it into production, and the operating model that makes it pay.
The platform
One workspace for people and agents
Infrastructure for your employees and agents to run on: shared context, rules and workflows. Secure by design.
The deployment
Engineers on site until it pays
Forward-deployed engineers and strategists build on your real systems, with your team, and stay until the numbers move.
The operating model
Where to start, how to measure, how to scale
A strategy sprint with your leadership picks the first workflow, sets the measure and names the owner, so AI scales past the pilot.
The proof
Measured on live work, not in pilots.
- Kolektif House
- 50K+
- customer interactions handled
- IKEA
- 4 weeks
- live from kickoff
- Kolektif House
- 10,000+
- hours saved
- Kolektif House
- 70%+
- less manual reporting effort
Sales, data and customer-experience agents, from exploration to voice
Workspaces · Case study
Find the impact area
A live map of your operations from logs and messages, and a strategy sprint to pick where to start.
Deploy the first agent
Built into your real systems by our forward-deployed engineer.
Roll out the platform
First agents and workflows in production, on your infrastructure.
Monitor and improve
Performance tracked continuously and tuned against real outcomes.
Expand
Same team, same trust, extended to the next workflow.
Questions, answered.
We put AI agents to work inside large companies. You get a platform for your people and agents, engineers who deploy it on your systems, and a strategy team that picks where to start and measures the result.
Next step
A proof of concept in four weeks.
Two hours with your leadership. Ten days to a business case. Four weeks to a working agent on your data. No commitment.