Answers for founders and technical teams
Practical answers to the questions that usually come up before planning AI products, automation systems, and custom builds.
Quick orientation
These notes are written to reduce back-and-forth during early planning and give teams a sharper idea of scope, timing, and integration complexity.
How long does it take to build an AI solution?
Most engagements start with a 1-2 week discovery and architecture phase, followed by iterative delivery. A production MVP typically ranges from 4-10 weeks depending on integrations, data readiness, and scope.
Which AI models do you use?
We choose models based on quality, latency, cost, and governance needs. Common options include OpenAI, Anthropic, and Google models, paired with structured evaluation before rollout.
Can you integrate with our existing systems?
Yes. We regularly connect CRMs, support tools, internal APIs, analytics platforms, and data warehouses with delivery patterns designed for reliability and observability.
Do you offer ongoing support?
Yes. We support launch, monitoring, iteration, and roadmap delivery after release, including optimization based on real user behavior and operational signals.