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 (NLP) and machine learning techniques to generate thoughtful, relevant responses, according to Salesforce.
AI chatbots have a wide variety of use cases in business environments: they can be used to make product recommendations, answer questions, complete transactions, and more. That’s what makes them so powerful for companies looking to upscale, optimize, and grow.
Salesforce notes that in addition to serving customers’ needs quickly and efficiently, AI chatbots can support internal teams. For example, if a sales team needs to practice for their interactions, an AI chatbot can help them pitch, negotiate, and cope with objections by acting as a coach. If the chatbot is given information about the sales representative, the customer, and the specific goal the sales rep is trying to accomplish, the chatbot can give advice tailored to the sales rep’s objectives.
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 — as mentioned above, they can be equally valuable internally, helping employees train and practice pitching, negotiating, handling objections, and more.
In fact, we at Psycray have experience using agentic solutions to support internal processes. While this solution wasn’t just an AI chatbot, we created a Twelve Labs API two-part solution for a manufacturing subsidiary to turn video archives into real-time sales training tools.
Using a multimodal video search powered by Twelve Labs API, we indexed video, audio, and visual elements of each video, which enabled authentic contextual search. Employees could then type queries such as “show me the press handling corrugated steel” or “show me the safety interlock sequence,” and they could replay the exact part they wanted to see without having to scroll around. This way, sales professionals were able to show these clips in meetings and presentations, which ultimately strengthened their ability to make stand-out sales cases.
Then, using Natural Language Processing (NLP), we fed the API information to make it a training companion for the sales employees. As a result, new salespeople were able to chat with the bot using an interface powered by GPT-5 vision and Gemini 2.5-flash. They could ask questions such as, “What is happening at 3:24?” and receive an instant answer.
Combining these multimodal search and NLP technologies facilitated sales enablement and onboarding for the manufacturing subsidiary. While we faced a few challenges in the areas of visual comprehension, latency, and seamless user experience, we combatted these challenges by adding frame-level embeddings and object/action tagging, pre-indexing high-value videos, caching vector queries on the edge to reduce response times from ~8 seconds to under 2 seconds, and designing a single search bar interface that allowed users to ask a natural question and receive a contextual, time-stamped response.
This exemplifies how useful AI chatbots can be in any industry. With our efforts to transform a static video library into an intelligent, on-demand information retrieval system, we helped the subsidiary strengthen its credibility in client meetings, save time, and support its new sales employees. In addition, the system serves as a knowledge base that employees can access at any time if they need to find an answer to a question.
How Psycray uses AI chatbots for business
We’ve helped numerous clients embed an AI chatbot for customer and internal support 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. External 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 what steps they could take to improve.
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.
- We use Zoho CRM, a customer relationship management system, to create templates that we can automatically paste into a blank email and send to our desired segments.
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.