AGENTIC AI
Agents that
sell, support
and book.
RockPaper Runway builds AI agents that work on your website, WhatsApp and phone: they answer from your own catalogue, qualify leads and book appointments. We run the same technology in our own platform, YUKTAAI.
Visitor: Family SUV under 30k, mostly city driving?Agent: 3 matches in stock. The RAV4 Hybrid fits best: 29,900, 41k km.▋
Grounded in
your data.
An agent is only useful if it is right. Ours search your catalogue and documents before they answer, show products only from your own data, and check every item they name against it. Prices, availability and policies come from you, not from the model's memory.
Built to
convert.
The agent asks one useful question at a time, recommends when it knows enough, and moves to the next step at the right moment: a booking, a call, or a lead form your CRM receives. Adaptive page sections and nudges follow what each visitor is looking at.
What we build
AI sales & support agents
Agents that answer from your catalogue and documents, ask the questions a good salesperson would, recommend real items as cards and capture the lead or booking in the chat.
WhatsApp agents
The same agent on WhatsApp: qualifies, recommends and hands over to your team, with every conversation logged.
Voice and outbound call agents
Voice conversations in the browser, and outbound call agents for cold calls, lead follow-up and sales calls, with calling windows, do-not-call lists and a transcript and outcome for every call.
AI search for your site
Visitors describe what they want in their own words. Typos are corrected, filters are understood, and they can refine with "something cheaper" or ask "which is better?".
Apps inside ChatGPT and Claude
An MCP server that puts your catalogue, knowledge and enquiry form inside AI assistants, so your answer appears as a card in the chat, with every link tracked.
Copilots inside your product
An assistant embedded in your own platform that reads live data with the signed-in user's permissions, explains every number and runs what-if scenarios.
How we work
From the first conversation you want automated to an agent your team trusts.
Map the conversations
Which questions, leads and bookings matter, and what a good answer looks like for each.
Connect your data
Catalogue (sheet, database or feed), documents and policies, CRM and calendar.
Design the agent
Goals, questions, guardrails and hand-off rules, tested on real conversations before launch.
Launch one channel
Usually website chat first, then WhatsApp, voice or an app inside ChatGPT.
Measure and improve
Every conversation, lookup and lead is logged, so we tune what the agent says from what actually converts.
What we have built.
Our own agentic AI platform
AI sales and support agents across website chat, WhatsApp and voice, with lead capture, CRM hand-off, booking, adaptive page sections and AI search. Built and run by RPR.
AutoVera smart search
A used-car marketplace demo where the site's own search bar understands "used bmw under 30k", corrects typos, personalises picks and hands any car over to the AI assistant.
Try the live demo →Dealer Intelligence assistant
A copilot inside a dealer intelligence portal. It reads vehicle history, valuations, market demand and deal numbers through the portal's own API, only with the user's permissions, and works out what-if deal scenarios.
Agentic AI: questions buyers ask
What is an agentic AI agent for a business website?
It is an AI assistant that does work, not just chat: it searches your catalogue, recommends real products, answers from your documents, books appointments and sends qualified leads to your CRM, on your website, WhatsApp or by voice.
Will the AI agent recommend products we do not sell?
No. Product cards can only come from your own catalogue, and every item named in a reply is checked against it before the visitor sees it; anything not in your catalogue is removed.
Which AI models do your agents use?
Your choice: Claude, GPT, Gemini or DeepSeek. The model can be changed per agent without rebuilding anything.
Can the agent work inside ChatGPT?
Yes. We build MCP servers, the protocol ChatGPT and Claude apps use, so your services or catalogue can be searched and enquired about from inside the assistant. RockPaper Runway runs its own.
Do you build AI agents for real estate and automotive?
Yes. We have built agents and AI search for car marketplaces and a copilot for dealer intelligence software, and the same platform qualifies property enquiries.
How do we start?
Book a discovery call. We map the conversations that matter (leads, bookings, support), connect your catalogue and documents, and launch on one channel first.
Discover our services
Ready to automate?
Put an agent to work →
Tell us which conversations you want handled. We will show you how an agent would answer them, with your own data.