Frequently asked questions

Pricing depends on product type, custom design, user roles and workflows, content, integrations, and support. After discovery, we provide defined scope, timing, and a staged estimate.

Timing follows scope and decision readiness. Discovery divides work into deliverables, and the proposal states the schedule, dependencies, and owner of each required input.

Scope, deliverables, acceptance criteria, timing, responsibilities, and payment stages are documented before work begins. Payments generally align with agreed delivery milestones.

Technical handover, administrator enablement, a defect-resolution period, and—where needed—a maintenance or staged-growth plan. Coverage and service levels are defined per agreement.

Ownership of custom code, third-party licenses, and repository handover are defined explicitly in the project agreement. The final model depends on the collaboration and agreed scope.

Start with one bounded problem, a clear owner, sample data, and success measures. Kavosh AI Lab reviews feasibility, risk, and value before a prototype or pilot.

Architecture, processing location, retention, and data use are defined before delivery. Controlled retrieval without retraining is enough for many scenarios; the final policy depends on the selected service and agreement.

We assess role needs, current capability, practice projects, and transfer measures. Delivery can be in-person, online, or blended, with exercises and a capstone.

Active roles appear on Careers. You can also use the general resume form with a PDF resume and portfolio link for future professional paths.