AI chatbots for business should help visitors reach an accurate answer or the right person. A chatbot that sounds confident but invents prices or policies creates extra work. Start with the questions it is allowed to answer and the situations it must hand over.
Define a narrow first use
Choose a manageable task, such as explaining service categories or directing visitors to the correct enquiry route. Avoid giving a first release authority over exceptions, refunds or binding quotations.
Write sample questions in the language customers actually use, including incomplete and ambiguous requests. This reveals whether the proposed system solves a real need.
Prepare an approved knowledge source
Use current service descriptions, contact information and published policies. Assign an owner to update them. Conflicting documents produce conflicting answers even when the interface looks polished.
Keep facts separate from sales language. A chatbot should be able to say that a quotation requires a brief instead of inventing a standard price.
Design the human handoff
Explain when the user will reach a person, what information is needed and what response they can expect. Provide a fallback contact method when the handoff fails or the team is unavailable.
Do not force visitors to repeat a long conversation. Where appropriate and permitted, pass a concise summary to the team while limiting unnecessary personal data.
Test difficult questions before launch
Try outdated service names, unclear budgets, unsupported requests and attempts to make the bot contradict approved information. Check whether it admits uncertainty and offers a useful next step.
Test on mobile and review keyboard access and form labels. A helpful answer is less useful if the visitor cannot operate the interface.
Measure resolution, not just conversations
Review whether visitors reached useful information, whether staff had to correct answers and whether handoffs completed. A high message count can indicate confusion rather than success.
Keep a regular review process and remove unreliable answers promptly. Expand the scope only when the existing tasks work consistently.
Primary source
NIST provides a voluntary framework for managing AI risks and a companion generative AI profile. It is a governance reference, not evidence that a particular campaign will perform. Read NIST AI Risk Management Framework.
How The Media Lab can help
The Media Lab can help clarify the website content and enquiry journey that an AI-assisted experience needs to support. Explore our web design, AI content production services in Dubai, review our portfolio, or send a brief to our team.
Frequently asked questions
Should a chatbot quote project prices?
Only where approved, current pricing rules support that answer. Bespoke projects usually need a brief and human review.
Can a chatbot handle every enquiry?
No. Define escalation for uncertain, sensitive or exceptional situations.
What should we test first?
Test factual accuracy, refusal to invent information and a complete handoff to the team.
