Five AI systems running on this website right now
We build AI for our own business first. Every system below is live on ranbanka.com, and every number comes from running it in production.
AI Sales Assistant
The “Chat with us” assistant on every page answers from our verified company data in English, Hindi or Hinglish, links the right pages and case studies, and passes a lead to our team only after the visitor confirms.
- ✦ Hard $2/day spend cap
- ✦ English · Hindi · Hinglish
- ✦ Leads only on confirmation
AI Lead Triage
Every enquiry, from the contact form or the chat, is read by AI after it reaches our inbox: rated hot, warm, cold or spam, matched to a service and a relevant past project, with qualifying questions and a draft reply for a person to send.
- ✦ ~$0.005 per enquiry
- ✦ Never emails the visitor
- ✦ Daily budget cap
AI Website Audit Engine
A LangGraph pipeline fetches a page and its Google PageSpeed data, runs five AI analysts in parallel and emails a branded report with real Lighthouse scores.
- ✦ ~45 s per audit
- ✦ ~$0.09 per run
- ✦ Daily cost cap
AI Content Pipeline
Drafts SEO articles, fact-checks every claim against our own portfolio data, runs SEO checks and waits for human approval before anything is published.
- ✦ 29 articles published
- ✦ 12/12 fact-check eval
- ✦ Human approval on every post
AI Case-Study Writer
Turns a short project brief into a full case study. The same fact-checker verifies every claim, and a plain-code check blocks confidential client names before anything can be published.
- ✦ 6 case studies published
- ✦ Name-leak guard in code
- ✦ Human approval
AI for the work your team repeats every day
We start from one workflow with a clear payoff, and we build on what we know well: pharma, banking and agency work.
AI assistant for your website or product
Answers questions from your own content and documents, in your customers' language, links them to the right page and hands real leads to your team.
Enquiry, ticket and document triage
Classifies and routes incoming requests, pulls out the key details and drafts the first reply, so your team starts from a summary instead of a blank inbox.
Document and data extraction
Turns PDFs, forms, emails and web pages into clean, structured data, with checks that catch what the model is unsure about.
Fact-checked content pipelines
Drafts articles, product copy or reports grounded in your approved facts, verifies every claim and waits for a person to approve.
Compliance-aware AI for pharma
For example, an assistant that checks eDetailer and promotional copy against your approved references before MLR review, flagging every unsupported claim.
AI for banking and agencies
Customer assistants grounded in approved product information for banks and financial services, and white-label AI development for agencies.
A two-week AI pilot
A fixed-scope pilot on one workflow, so you see real results on your own data before committing to a full build. We quote it after a free consultation.
- A working prototype on your own data
- Evaluation results on real examples
- A cost-per-use estimate
- A plan and quote for production
Discover and prototype
Pick one workflow with a clear payoff, gather real sample data and build a working prototype on it.
Evaluate and hand over
Test it against real examples, add cost caps and guardrails, demo it to your team and agree the plan for production.
AI you can put your name on
The same rules run our own systems, and they come with every project we deliver.
Grounded in your facts
Answers and content come from your approved data, and a separate check flags anything unsupported.
Human approval where it matters
Anything that goes out under your name waits for a person to approve it.
Hard cost caps
Systems that run on their own get hard daily spend limits, and we pick the cheapest model that does each job well.
Tested with evals
We measure accuracy on real examples before launch and after every change.
Fail-safe by design
If the AI is unavailable, your process keeps working. Our triage, for example, can never block a lead.
Your cloud, your data
We can deploy on AWS in your own account, with access limited to what the system needs.
Questions buyers ask us
Cost, data safety, models and timelines: the short answers. Anything else, just ask.
Ask us a question →How much does an AI system cost to run?
It depends on the volume and the model, so we estimate it during the pilot. For scale: our own enquiry triage costs about $0.005 per enquiry and our website audit about $0.09 per run. Every system that runs automatically gets a hard daily spending cap.
Is our data safe?
Your data is used only to run your system. We use Anthropic's commercial API, which by default does not use API data to train its models, and we can deploy everything on AWS in your own account.
Which AI models do you use?
Mostly Anthropic's Claude models, matched to the task: a small, fast model for classification and a larger one for writing and reasoning. We orchestrate multi-step workflows with LangGraph.
Will the AI make mistakes?
It can, so we design for it: answers are grounded in your approved data, a separate check flags unsupported claims, a person approves anything that goes out, and we test on real examples before launch.
How long does it take?
The pilot takes two weeks and ends with a working prototype and a production plan. The production timeline depends on the integrations you need, and we quote it after the pilot.
Can it work with our existing systems?
Yes. We build APIs and integrations as a core service, so the AI can read from and write to your website, forms, email and internal systems.
Do you work white-label for agencies?
Yes. Much of our frontend work is delivered through agencies under NDA, and we offer AI development on the same white-label basis.
Have a workflow in mind?
Tell us what your team spends too much time on. We'll reply within 24 hours with whether AI can help, and how we'd test it.
Book a free AI consultation →