RUN · GROW — Dedicated AI engineering team
Your team,
beyond launch.
A dedicated team works alongside you to improve and operate your AI service. We call this the Atreez Virtual In-house model.
Stages we cover
- 01Find
- 02Fit
- 03Run
- 04Grow
What you get
01
Continuous improvement
We turn failures found in use into evaluation cases and improvements for the next release.
02
A team of people and AI agents
People set direction and make decisions. AI agents contribute to design, implementation, and review.
03
Ownership of operations
The same team owns cost and quality monitoring, change management, and incident response.
How it works
Step 1
Onboard
We learn your systems and workflows and agree on operating standards.
Step 2
Regular releases
We build features by priority and release them after review.
Step 3
Operate and monitor
We monitor quality and cost, and respond to incidents under the operating standards agreed with you.
Step 4
Propose what's next
We use evidence from operations to recommend where AI could help next.
Deliverables
- A dedicated development and operations team
- Regular releases and change logs
- Quality and cost monitoring reports
- An improvement plan and recommended next use cases
A good fit when
- You've launched an AI service but have no team to keep improving it
- You need an established team to support development and operations
- You need one team to run several AI services together
Next step
In the Grow stage, we use what works in operations to plan the next use case.
Learn more: ApproachTell us what you want
to change with AI.
Tell us about the service you want to build or the work you want to change. We'll define a starting point and scope together.