AI agentic chatbots can be a powerful asset for any business looking to automate FAQs, quick customer interactions, transactions, and more. In this post, we’ll cover:
- What an AI Chatbot is.
- What AI Chatbots can do for businesses.
- How we use AI Chatbots to help clients.
- Other tools we use.
- Concluding thoughts.
What is an AI Chatbot?
An AI chatbot for business is a digital assistant that can respond to questions in a conversational, human-like style. It’s an AI model that responds to human input on the fly.
Rather than relying on pre-programmed rules, chatbots learn from Natural Language Processing and machine learning techniques to generate thoughtful, relevant responses, according to Salesforce.
What are some of the key benefits of AI chatbots?
Customers often need help around the clock. Since businesspeople aren’t always available, 24/7 AI chatbots are extremely helpful for answering customer inquiries quickly and accurately. In addition, 91% of small and medium-sized businesses say that AI boosts revenue for them, according to a Salesforce research report.
While AI chatbots are incredibly useful in customer service, that’s not their only valuable application — they can be equally valuable internally, helping employees train and practice pitching, negotiating, handling objections, and more.
How Psycray uses AI chatbots for business
We’ve helped numerous clients embed an AI chatbot for both customer support and internal support into their workflows to improve their productivity. Here are some examples to give you an idea of the kind of work we do:
Trade Association Email Workflow: A trade association that manages over 1,500 manufacturing companies needed help managing their high email load. To solve this problem, we built a chatbot using Natural Language Processing to classify emails as internal or external.
Internal emails were sent to the correct departmental inbox for human review. Emails referencing a product, brand, or company were extracted using contextual text recognition. Then, the AI agent queried the associations’approximately 1,500-member database to retrieve matching public contact details.
If the agent found a match between the user’s company mention and the corresponding database finding, they sent the messenger an email with the company’s contact information and a brief explanation that the association does not offer technical support.
If no match was found, the agent responded to the sender politely with a request to verify the company name or contact their point of purchase.
We also extended this system to integrate with the association’s public contact form and chat interface. For instance, if a member asks a question the AI can answer, the agent will automatically give an appropriate reply.
As a result, the company received a 90% reduction in manual sorting, instant external replies for customer support, improved internal focus, and an enhanced customer experience.
Abbott Customer Vendor Feedback Platform:
We helped Abbott create a custom vendor feedback platform so that their vendors and suppliers could communicate after tradeshow evaluations.
We created the platform to allow Abbott to make custom questionnaires for various vendor-supplier relationships. This ensured the feedback was tailored to each specific relationship.
This platform enabled Abbott to audit their existing partnerships and relationships; the data gave them a clear picture of what was working and where they could improve.
Video Archives for Sales Representatives:
A manufacturing subsidiary had a large library of sales training materials without a clear way to organize them or help their employees retrieve information efficiently.
To solve this problem, we created a two-fold AI-solution: the first part utilized Twelve Labs API, which indexed visual, auditory, and textual elements of each video to allow for quick contextual search. Employees could ask questions and give orders like, “What’s happening at 9:24?” and “Show me the safety interlock sequence.” This allowed them to get their questions answered quickly.
The second part used large language model-reasoning, powered by GPT-5 vision and Gemini 2.5-Flash, to allow sales representatives to interact with the training videos in real-time. The model has a large knowledge base of English vocabulary that allows it to quickly perform contextual searches.
This allowed the company to give timestamped video answers in under 5 seconds, which saved the new hires training time.
Other Tools We Use
While we have a proven record of creating custom AI agentic solutions, we also use AI open-source chatbots in our day-to-day work. Here are a couple of examples:
- We use ChatGPT for editing and refining content.
- We use Prosp, a LinkedIn InMail Campaign service, to perform efficient outreach to prospects.
Conclusion
As you can see, AI Chatbots can be helpful in a range of business contexts, both internally and externally.
If you’re interested in the kinds of chatbots we can implement, feel free to contact us.