AI / ML Solutions · Brolly Software Solutions
AI development company for chatbots and RAG solutions
Build an assistant around the information your business can stand behind. Brolly develops AI chatbots, retrieval-augmented generation assistants, LLM copilots and voice workflows, with team-led demonstrations of the course-information chatbot and VoxFlow.
Start with the work you need to improve
When choosing a chatbot development company, define the questions your assistant should answer and the sources it may use. RAG retrieves relevant material from your documents or knowledge base before generating a response. It still needs permissions, evaluation and a clear response when the sources do not contain the answer.
Define the questions and trusted sources
Start with real questions users ask and identify the documents or records that should answer them. Assign responsibility for keeping sources current. The Digital Brolly demonstration is limited to course information; it is not a public upload tool for arbitrary documents.
Choose retrieval, prompting or a workflow
Prompting defines the task and response style. Retrieval supplies relevant information at question time. A workflow handles actions and approvals. These can work together, but changing instructions alone does not make an assistant aware of private business records.
Evaluate answers before broad rollout
Agree examples of correct, incomplete and unsupported answers. Test missing information, conflicting documents and questions outside the assistant’s scope. Review source access and escalation alongside response quality; a fluent answer is not proof that it is correct.
What to bring to discovery
- The user questions and business outcome to support
- Documents, data owners and update frequency
- Access permissions and information the assistant must not disclose
- Evaluation examples, escalation needs and deployment channels
Work you can inspect
Request a RAG chatbot demo
Our team can demonstrate the document-based question-and-answer experience using Digital Brolly course information.
Request an AI voice-agent demo
See how a lead list and a task prompt feed an outbound calling workflow.
AI / ML Solutions: common questions
What is a RAG chatbot?
A retrieval-augmented generation chatbot looks up relevant source material and uses it when composing an answer. Its usefulness depends on the sources, retrieval quality and the checks around the generated response.
Does RAG eliminate incorrect answers?
No. Missing sources, retrieval mistakes and generation errors can still produce an incorrect answer. Evaluation, source review and a clear way to decline unsupported questions are part of planning the system.
Can I try the chatbot directly on this website?
No. Submit a demo request and our team will arrange a guided demonstration. A private business knowledge base, its permissions and its deployment are scoped separately.