AI that ships into real workflows — safely.
We integrate AI where it creates measurable value, with the engineering discipline to make it reliable, auditable, and secure.
- Senior-led
- Production-first
- Quality gates
Common traps
- “Prototype cemetery” (cool demos, no adoption)
- Unclear ROI and success metrics
- Data access and governance issues
- Vendor lock-in or uncontrolled cost growth
The root cause: We focus on integrating AI into workflows safely, not just running experiments. AI-native delivery means speed with accountability.
Outcomes
Value-driven AI
A shortlist of AI use cases tied to workflows and metrics
A safe architecture pattern (data, prompts, orchestration)
A plan to ship the first AI feature to production
Guardrails: cost controls, logging, human-in-the-loop
Recommended starting offer
System & Risk Assessment
We identify your best "first production win," audit your data readiness, and define a safe architecture pattern for your AI features.
See full scope & deliverables