Plan with clarity.
Start with the right questions.

Bring one workflow you want to improve, who uses it, the tools involved and an example of the current problem. Screenshots or anonymised sample documents can be useful. You do not need a finished technical specification.

We start with the task and its rules. Predictable steps often suit conventional automation. AI can help with language, documents and unstructured information. A custom application is useful when teams need a shared workspace or a process that existing tools cannot support well.

The proposal follows a review of the scope, integrations, users, data, dependencies and acceptance criteria. The delivery plan separates the first release from later enhancements. Pricing and dates are confirmed in the agreed scope.

Yes. A focused first release can establish the data model and operating approach without requiring the entire organisation to change at once. We identify the interfaces and dependencies needed for later expansion.

We review the available APIs, exports, permissions and vendor restrictions. Where integration is feasible, we can build around the existing tools. Feasibility and any third-party costs are confirmed before the implementation scope is agreed.

Data preparation is scoped separately where needed. The plan should identify the source of truth, required fields, cleanup responsibilities and how imported records will be validated before the live workflow depends on them.

The assistant is given a defined task and permitted information. We plan evaluation examples, uncertainty handling and fallback behaviour. Important business decisions can require human review; AI accuracy is not treated as an unconditional guarantee.

We define access by role, review what data the workflow needs and identify which services will process it. Retention, provider choices and approval steps are discussed during planning. Exact controls depend on the system and agreed requirements.

Source-code access, account ownership, documentation and licensing are agreed in the project terms. Third-party products and open-source dependencies retain their own licences. These responsibilities should be clear before development starts.

Handover covers the agreed operating instructions, administration and known dependencies. Maintenance, response expectations, enhancements and any ongoing support are defined as part of a separate agreed arrangement or the project scope.

Yes. Alux is live and ready for architectural fabricators, engineers, and workshops. You can launch the web studio directly at alux.vasudev-ai.in, install the desktop PWA, or download the native Android APK.

Vasudev AI is based in Gujarat, India and works with businesses in India and internationally. Communication methods, availability, site visits and implementation responsibilities are agreed for each engagement.