Human-Agentic Teams
Senior expertise.
AI-powered delivery.
Hire a development team that combines experienced product managers, architects and engineers with AI agents. People set the direction, make the trade-offs and oversee quality. AI agents carry out development work within agreed boundaries.
From validating an idea to evolving an existing platform, we shape the team around your goals, complexity and product risks.
- One team and a shared product backlog
- Short iterations with visible progress
- Human oversight suited to your product

Choose the team your product needs
Compact PM-led team
For validation, internal tools and controlled production use. A senior product manager with AI expertise directs the agents. An architect provides targeted guidance and technical validation.
- Direction: product management and a shared backlog
- Delivery: AI agents, with targeted architectural support
- Assurance: agreed testing, security and deployment requirements
Technical validation is targeted: a developer does not review every line of generated code. Mission-critical, highly regulated or high-scale applications need more extensive engineering and quality assurance.
Broader product team
For products that need closer technical involvement. Combine senior product management and AI-driven development with frontend and backend architecture. Bring in engineering, UX and QA expertise as the work requires.
- Direction: product management and a shared backlog
- Delivery: AI agents and experienced specialists
- Assurance: more extensive engineering and quality verification
Our GOdna approach provides guardrails and verification measures. We review the balance of human development and AI together as complexity, usage and risks change.
How we work together
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Define the boundaries
Agree on users, outcomes, existing systems and technical requirements. Set the team setup, quality criteria and initial priorities.
1 -
Build in short iterations
Work from one backlog. Review working functionality regularly and adjust priorities and expertise as you learn.
2 -
Validate and move forward
Check agreed acceptance criteria before deployment. You retain control over acceptance. Review delivered value and decide what comes next.
3
Our product development experience
Frequently asked questions
How do people and AI agents work together?
A senior product manager translates product goals into priorities and directs delivery. AI agents carry out development tasks within the agreed boundaries. Architects and, depending on the team setup, engineers, UX designers and QA specialists assess the result. We agree on the level of human review and guidance before work starts.
Is a Human-Agentic Team right for my product?
A compact PM-led setup suits prototypes, validation, internal tools and controlled production use. Mission-critical, highly regulated or high-scale applications require more extensive engineering and quality assurance. We determine the right setup together and reassess it as your product grows.
How does the collaboration work?
We work as one team in short iterations: remotely where effective and in person where useful. You set product priorities, provide domain knowledge and make the final decision on acceptance and deployment. Each month, we make clear what has been delivered, what progress has been made and what comes next.
What does a Human-Agentic Team cost and what is included?
We agree on a fixed monthly fee for the selected team setup and way of working. Development tooling and AI model usage are included. Hosting and third-party component licences are agreed separately. We also define the scope of documentation, handover and post-launch operations upfront. Pricing, duration and team involvement are tailored to your situation.
Discuss your team setup
Tell us what you want to build
Share your product goals, current situation and the challenges ahead. Together, we will identify the right mix of senior expertise, AI agents and quality assurance for your next step.