Asked before every AI project,answered plainly.
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Getting startedHow do I know if AI is worth it for my business?
Start with tasks your team repeats many times a week, such as answering the same questions or copying data from documents. The readiness review counts these hours and shows which ones AI can handle reliably. If the numbers do not add up, we will say so.
Getting startedDo I need clean data before we start?
No. Most businesses have scattered PDFs, old FAQs and spreadsheets. Preparing and organising that content is part of the work, and the effort is reflected in the quote.
Getting startedWhich AI model runs my automations, and can it change later?
We choose from leading providers such as OpenAI, Anthropic and Google based on accuracy, language support and cost for your task. Your system is built so the model can be switched later without a rebuild.
Cost & timeWhat will the automations cost me each month once live?
There are usually three parts: AI usage billed by the provider, the automation platform subscription if used, and WhatsApp conversation charges from Meta. We estimate these from your expected volume before you approve, and we set spending caps so they stay within budget.
Cost & timeHow long until a first version is live?
A website assistant over a small set of documents or a single automation usually goes live in two to three weeks. Projects with several systems, scanned documents or approval workflows take four to eight weeks.
TechnicalWill the assistant make things up?
We reduce this by limiting the assistant to your approved documents, showing the source for each answer, and testing against a set of real questions before launch. No AI system is perfect, which is why handover to a person and conversation review are built in.
Technicaln8n, Make, Zapier or custom code: which do you use?
Zapier and Make suit lower volumes and teams who want to edit flows themselves. n8n can be self-hosted, which helps with high volumes and data that should stay on your own server. Custom code suits flows that sit inside your app or need strict control.
TechnicalHow do you handle customer data under the DPDP Act?
We collect only what each flow needs, show a notice explaining how data is used, and set retention and deletion rules with you. We avoid sending sensitive data to AI providers where it is not required and can mask fields such as phone numbers. For legal interpretation, check with your adviser.
After launchWhat happens when our prices or policies change?
You update the source document or tell us, and the knowledge base is refreshed so the assistant answers with the new information. On a monthly plan we handle these updates and review unanswered questions for you.
After launchCan my team edit the automations themselves?
Yes. We document each flow and walk your team through it. Flows built on Make, Zapier or n8n can be edited in their visual editors, and we can review changes before they go live if you prefer.