A little clarity goes a long way.

Yes. We deliver AI, web applications and integrations directly for businesses and provide white-label engineering for agencies, consultancies and software teams. Branding, communication, commercial terms and the client relationship are agreed before work begins.

Yes, subject to the systems’ APIs and permissions. We review your CRM, ERP, scheduling, helpdesk, and data sources during discovery so the proposal includes the integrations and dependencies that matter.

Pricing and timing depend on the workflow, data readiness, channels, integrations, and support requirements. We agree a scoped proposal and milestones after discovery. Platform usage and ongoing support are identified separately.

Yes. Truvenix is based in India and works with businesses and agency partners globally, including the UAE/GCC and Europe. Languages, working arrangements, hosting, and regional requirements are discussed for each project.

We review the data needed, who can access it, where it is processed, and how long it is retained. Access controls, human review, hosting choices, and any contractual requirements are scoped into the implementation.

We review and prepare your approved documents, website content, FAQs, and product data. Retrieval connects the assistant to that knowledge; we only recommend model fine-tuning when the use case warrants it. We test answers and define fallback behavior before launch.

Production automation requires an appropriate WhatsApp Business Platform setup. We review your existing account, number, permissions, and integration options during discovery. Platform approvals, messaging rules, and provider charges are scoped separately from development.

We evaluate the requested languages, accents, voice providers, and real scripts during discovery. Quality is tested with representative calls before launch. Recording, disclosures, consent, and outbound permissions are configured for the agreed use case and market.

We assess the APIs, permissions, data quality, and limits of your current systems. Where a direct integration is unavailable, we identify a workable approach and its maintenance requirements before agreeing the scope.

That is a useful starting point. We review how your team works, where time is lost, and what information is available. Discovery identifies practical opportunities, feasibility risks, and a first project with a measurable objective.

Our expertise includes AWS Certified Machine Learning – Specialty and AWS Certified Cloud Practitioner. These individual credentials support our engineering capability; solution architecture is selected around the requirements of each engagement.

Yes. White-label delivery can cover websites, application interfaces and integrations as well as AI. We agree the client communication model, responsibilities, source-code and account ownership, licensing, acceptance criteria and support before work begins. Design, copywriting and migration requirements are scoped explicitly.

No. Demand, competition, offer quality, budget and sales follow-up affect outcomes. We agree the scope, baseline, measurement and review criteria before starting. Advertising spend, content production and third-party tools are quoted separately where applicable.