Develop service
AI Development
Custom AI solutions designed, built, and shipped, copilots, agents, and applications that solve your actual problem.
AI Development is the custom design and implementation of AI solutions for a specific business problem: internal copilots, AI agents, document intelligence, decision support, and workflow automation. Solutions are built on your data and systems, delivered in demo-able milestones, and governed with human-in-the-loop review from the first sprint.
Who this is for
Teams with a validated use case that off-the-shelf tools can't cover, and a preference for working software over slideware.
What you get
- A production AI solution solving the problem it was scoped for
- Human-in-the-loop checkpoints wherever decisions carry consequence
- Integration with your existing tools instead of another isolated app
- Full ownership: code, prompts, evaluation sets, and documentation
What's included
Solution design and prototyping
Rapid prototypes validate the approach on real data before full development, you see evidence early, not promises.
Agent and copilot development
Task-specific copilots and multi-step agents with clear boundaries, scoped tool access, and escalation to humans.
Evaluation and testing
Systematic evaluation sets measure quality, safety, and regression, so 'it seems to work' becomes 'it measurably works'.
Deployment and handover
Production deployment in your environment, plus documentation and training so your team owns the system.
How it works
- 01
Prototype on real data
A focused prototype phase proves the core mechanism works with your data and constraints, typically within weeks.
- 02
Build in milestones
Development proceeds in demo-able increments with feedback from actual users folded into every cycle.
- 03
Evaluate and harden
Quality evaluation, edge-case testing, security review, and governance checkpoints prepare the system for production.
- 04
Deploy and transfer
The solution ships in your environment with monitoring, documentation, and a trained internal owner.
Deliverables
- Production AI application or agent
- Evaluation suite and quality benchmarks
- Source code, prompts, and configuration, fully owned by you
- Operations documentation and handover training
Frequently asked questions
What kinds of AI solutions do you build?
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Typical builds include internal copilots grounded in company knowledge, document processing and analysis pipelines, AI agents that operate tools through MCP connections, decision-support systems, and workflow automation with human review steps.
How do you keep AI agents safe in production?
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Through scoped permissions, explicit tool boundaries, human approval for consequential actions, complete audit logs, and evaluation suites that catch regressions. Governance is designed into the architecture, not added as a policy document.
How long does a custom AI project take?
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A working prototype typically lands in two to four weeks; production systems in two to four months depending on integrations and compliance requirements. Milestone delivery means you see progress, and can stop or steer, at every stage.
What do you need from our team before AI Development begins?
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We start with the people closest to the work, access to the relevant systems or examples, and one accountable decision-maker. The first step is prototype on real data; we confirm the exact evidence and access needed before the engagement starts.
What happens after the engagement?
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Your team receives the visible deliverables listed on this page, plus a recommended next decision. We can support the next phase, or hand over a documented plan your internal team or chosen partner can execute.
Ready to scope this with us?
Tell us about your systems, data, and goals. We reply within one Swiss business day with a concrete next step.
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Start the Develop conversation
Tell us what knowledge, systems, and workflows need to be connected so we can scope the right service, and reply within one Swiss business day.
AI Development — Start the Develop conversation
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