Can it index our product documentation automatically?
Yes. We ingest from your docs site (GitBook, Docusaurus, Mintlify, ReadMe, Notion, custom), your Intercom help center, or your public API. Any change to docs auto-triggers re-indexing (weekly by default, or on-webhook if your docs system supports it). Past-resolved tickets from Zendesk/Freshdesk can also feed the retrieval index.
How does this compare with Intercom Fin or Zendesk AI?
Intercom Fin and Zendesk AI are great if you're already deep in their ecosystem and okay with per-resolution pricing ($0.99+ per resolution). Custom-built gives you: (1) flat pricing, no per-resolution costs, (2) full control over the model and prompts, (3) deploy anywhere (in-app, WhatsApp, Slack, standalone), (4) integrate with your product state (not just help docs). Break-even usually around 500-1000 monthly resolutions.
Can it work as an in-app AI assistant, not just a support widget?
Yes. In-app assistants that know both your product docs AND the user's current state (page, feature, subscription tier) are our highest-conversion deployment. User asks "how do I export this report?". Bot answers with steps specific to their current view + their plan's actual capabilities. Requires read-only API access to your product's user context.
Can it help our sales team qualify leads?
Yes. A sales-focused chatbot on your marketing site answers pricing questions, feature comparisons, integration availability, and "do you support X?" queries. It qualifies leads with 3-5 questions (company size, use case, timeline), scores them, and books demo slots directly on your team's calendar. Feeds hot leads to your CRM with full conversation transcript.
How much does it cost?
Prototype: ₹1.5-3 lakh (2-3 weeks). Full build with in-app + sales + onboarding: ₹6-15 lakh (4-6 weeks). Managed ops from ₹40,000/month including model API costs (typically ₹8-25k depending on volume), docs re-indexing, quality evals, cost monitoring. For high-volume SaaS, custom pricing based on request volume.
Can it run on our own infrastructure?
Yes. Deployment options: (1) your AWS/Azure/GCP with our managed setup, (2) full self-hosted with Llama/Mistral for teams with strict data policies, (3) hybrid. Retrieval on-prem, generation via zero-data-retention cloud LLM. Every enterprise SaaS deal has different constraints; we design for them from Week 1.