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Choosing the right AI chatbot for your business
The market is crowded and most comparisons are feature checklists. What actually decides the outcome is where the bot gets its knowledge, what it is allowed to do, and who owns it after launch.
Praval Technologies2 min read
Chatbots now handle everything from customer queries to internal IT requests. The options are numerous enough that the choice itself has become the hard part.
Why businesses deploy them
Customer service. Answering common questions at any hour, and escalating what needs a person.
Sales and marketing. Lead qualification, product guidance and recommendations during the purchase decision.
Internal operations. HR and IT support, where a large share of volume is the same twenty questions.
The types
Rule-based. Decision trees. Predictable, cheap, and brittle the moment someone phrases a question the way people actually phrase questions.
Retrieval-based. Answers drawn from a defined knowledge base. Grounded and auditable: the answer traces to a source.
Generative. An LLM composing responses. Handles ambiguity well; needs grounding and guardrails or it will answer confidently from nothing.
Platform-native, such as Salesforce Einstein Bots. Tightly integrated with the CRM record, so the bot knows who it is talking to and can act on their case, a meaningful advantage when the conversation should change something.
What actually decides the outcome
Feature checklists are the least useful part of this decision. Four questions predict more:
Where does it get its knowledge? A bot grounded in governed, current content is useful. One grounded in whatever it can reach will confidently cite a superseded document.
What is it allowed to do? Reading is a different risk profile from writing. Decide deliberately, and constrain it in the system rather than in the prompt.
What happens when it does not know? Graceful escalation with context preserved is the difference between a helpful tool and one people route around.
Who owns it in six months? Chatbots decay. Content changes, intents drift, and something has to own retraining and measurement or usage quietly dies.
Conclusion
The right chatbot is rarely the most capable one. It is the one whose knowledge you can govern, whose actions you can bound, and whose failures degrade into a human conversation rather than a wrong answer delivered with confidence.
Recognise any of this in your own estate?
Start with the problem rather than the technology, and we will tell you honestly whether it is ours to solve.