AI Agent Use Cases

Sales Assistants

Research, qualify, prepare information and support sales workflows.

Service Assistants

Help users find answers, classify requests and support service processes.

Internal Knowledge Assistants

Give employees conversational access to approved company knowledge.

Customer-Facing Chat Agents

Answer questions and guide users through defined experiences.

Voice Agents

Use speech-to-text, language models and text-to-speech to support voice interactions.

Workflow Agents

Connect AI with tools and APIs so it can help complete defined tasks, not only generate text.

How an AI Agent Works

01

Understand

Interpret the user’s request or incoming event.

02

Retrieve

Access relevant knowledge or data when needed.

03

Reason Within the Workflow

Determine the next permitted action based on instructions and context.

04

Use Tools

Call APIs or connected systems when the workflow requires it.

05

Respond or Act

Return an answer, update a system or move the workflow forward.

06

Log & Evaluate

Capture behavior so accuracy and reliability can be reviewed and improved.

Frequently Asked Questions

An AI agent is software that uses an AI model to interpret a goal or request and can interact with tools, data or other systems to help complete a task. The amount of autonomy should be designed around the use case and risk.

A chatbot primarily focuses on conversation. An AI agent may also retrieve information, call APIs, use tools or perform defined actions as part of a workflow.

Yes. An agent can be combined with a RAG or knowledge-retrieval layer so it can access approved company information when answering questions or completing tasks

Yes. Primo Coding has current development experience with voice-agent workflows using speech-to-text, LLM/RAG components, text-to-speech and backend integrations.

Yes. Depending on the permissions and use case, agents can be integrated with HubSpot APIs and workflows to retrieve or update CRM information and support defined processes.

Demonstrable Experience

Primo Coding’s AI team has already developed demonstrable real-estate chat and voice-agent prototypes using LLMs, RAG, embeddings, vector databases, speech-to-text, text-to-speech and backend lead-management workflows. These are proof-of-concept and development-stage examples, not presented as production client deployments.