Simple setup or fully tailored: we have built an approach that fits each scenario. Grounded in your documents and systems, secure by design, live on your website, intranet or Teams.
Not every chatbot needs the same depth. A knowledge bot over your documents is a different job than an assistant that reads orders, applies pricing rules and books actions in your systems. Our framework covers both, and everything in between.
Connect a knowledge source, define the tone and the guided buttons, set the guardrails and go live. Answers come straight from your own documents, with the source shown.
Fits: website FAQs, internal knowledge bots, HR and IT support, guided flows.
Deep integration with ERP, CRM and your data platform. Business rules, multi-step actions, hybrid retrieval over structured and unstructured data, a bespoke interface where the chat bubble is not enough.
Fits: customer service with live order data, sales assistants, process automation, agentic workflows.
Same foundation underneath. Both scenarios run on the same framework and the same Microsoft Azure foundation. Start simple and grow into tailored when your needs do, without rebuilding.
Every chatbot needs the same plumbing: ingesting documents, retrieving the right passage, keeping the conversation on track and keeping the answers safe. Our framework brings those prebuilt, so the project time goes to your use case.
Chatbots rarely fail on technology. They fail on alignment, on conversations that frustrate, on integrations that leak friction, on launching too early, and on being left alone after launch. Our approach addresses each one.
Workshops with your stakeholders to find the high-volume questions and turn them into measurable KPIs and a prioritised scope.
Conversation flows, happy paths and error handling, in a tone of voice that matches your brand. Sample dialogs validated early.
The right technology for the chosen scenario, connected to your systems, with security and guardrails in from the start.
Internal tests and a real-user pilot. Accuracy, containment and satisfaction measured before anything goes live.
Phased rollout, dashboards on real usage, and continuous data-driven improvement so the bot gets better over time.
Bring a set of documents or a process, and we show you which scenario fits.