Generic AI experiments
The business wants AI value without adding random features that do not help the workflow.
Rohini integrates AI features into websites, portals, dashboards, and internal tools so businesses can automate repetitive work and improve the user experience without rebuilding everything from scratch.
Direct answer
Rohini integrates AI features into websites, portals, dashboards, and internal tools so businesses can automate repetitive work and improve the user experience without rebuilding everything from scratch.
Who it is for
Teams adding chat, search, summarisation, recommendations, classification, or AI-assisted workflows
What Rohini delivers
Responsive frontend, scalable architecture, clean admin or workflow layers, integrations, deployment, and post-launch support based on scope.
Typical timeline
1 to 4 weeks
Starting price
From ₹35,000
How to start
Share your business goal, current workflow, and target launch timeline. Rohini will recommend the right scope and next step.
Generic AI experiments
The business wants AI value without adding random features that do not help the workflow.
Slow support or analysis
Teams spend too much time answering repeated questions, searching content, or classifying inputs.
Disconnected tools
Spreadsheets, chats, forms, and internal updates live in too many separate places.
Weak digital conversion
The current website or flow does not turn interest into qualified enquiries or structured actions.
Poor visibility
Teams struggle to understand status, performance, or what needs action next.
Slow response times
Customers or internal teams wait too long because requests are not handled through a clear system.
Responsive frontend
Fast, polished pages and interface states tuned for mobile, tablet, and desktop.
Authentication and role access
Secure user access, permissions, and role-aware experiences where the workflow needs them.
Dashboard and reporting
Clear operational views, metrics, and action surfaces for day-to-day business use.
Integrations
Payment gateways, email, SMS, WhatsApp, CRM, maps, or API integrations based on scope.
Deployment and launch
Production deployment, launch checks, and a build structure designed for future growth.
Maintenance path
A practical support route for fixes, upgrades, and structured next-phase improvements.
Starter
From ₹35,000
Strong fit for smaller ai integration development scopes with clear content, fewer integrations, and a focused first release.
Growth
₹50,000–₹1,20,000
Best when the build needs stronger workflow depth, more pages, better reporting, or integration support.
Platform
₹1,20,000+
Suitable for portal, dashboard, and custom application builds with multiple users, roles, or system states.
Support
₹5,000–₹25,000/mo
Ongoing updates, fixes, enhancements, monitoring, and staged product expansion after launch.
Price guidance
Every quote is scoped to features, integrations, workflow depth, and launch expectations.
Turnaround
Timelines assume clear scope, fast feedback, and business-ready content from your side.
Best fit
This path is designed for teams that want practical delivery, not generic template work.
Commercial outcome
The build is positioned to support lead generation, operations, or product growth from day one.
Integration reference
Useful for teams that want structured site knowledge, faster contact routing, or contextual assistance.
Operational fit
AI can help classify leads, summarise activity, or support search and reporting inside business tools.
Product fit
A strong route when you want AI inside private user flows rather than as a disconnected experiment.
Integration reference
Useful for teams that want structured site knowledge, faster contact routing, or contextual assistance.
Technology: Next.js, React, Tailwind CSS
Outcome: A polished build direction shaped around mobile responsiveness, clear structure, and conversion-ready presentation.
Operational fit
AI can help classify leads, summarise activity, or support search and reporting inside business tools.
Technology: Next.js, product UI architecture
Outcome: A scalable foundation for future features, stronger workflow depth, and clearer buyer journeys.
Identify the exact task worth automating or improving before choosing the technical approach.
Fit the AI layer into existing pages, systems, roles, and content without making the product harder to use.
Build the feature, connect the inputs, and define safety, fallback, or review rules where needed.
Check quality in realistic usage and refine prompts, flows, or model boundaries based on actual business needs.
No. AI integration is often most valuable as a focused enhancement inside an existing product or workflow.
Examples include search assistance, summaries, classification, lead assistance, recommendation layers, and knowledge-based helpers.
Yes. That is often the better route because the workflow and business value are already clearer.
By starting with one commercially useful task, integrating it well, and avoiding generic features that do not improve the workflow.
Ready to scope
Tell Rohini what you want the AI feature to do, where it fits, and what business friction it should remove.