AI Built Around the Business Process
We start with the workflow rather than simply adding an LLM to an application.
Services
TechnAre develops custom AI agents that can understand user requests, access approved information, use connected tools, and complete defined business tasks.
Unlike a basic chatbot that only responds to questions, an AI agent can be designed to follow a workflow, retrieve relevant information, call APIs, update systems, generate outputs, and escalate tasks when human approval is required.
We build AI agents for customer service, sales support, internal operations, research, document workflows, knowledge management, and other business use cases.

We build AI agents that can reason through defined tasks and interact with approved business tools. The agent architecture is designed around what the system is allowed to access and what actions require human approval.
01
We identify the task the AI agent needs to perform, the systems it needs to access, the information it needs, and the points where people should remain in control.
02
We develop the agent, prompts, tools, retrieval layer, APIs, business rules, interface, permissions, and evaluation process.
03
We test the agent against realistic scenarios, edge cases, incorrect inputs, and business rules before production use, then improve it using measured results.
We start with the workflow rather than simply adding an LLM to an application.
Agents are connected only to the tools and information required for their approved tasks.
AI agents can connect with websites, APIs, databases, CRM, ERP, and other business systems.
Where a decision or action requires human review, the workflow can include approval and escalation rather than leaving everything to the AI.
AI agent development involves building AI systems that can understand a goal, use approved tools or information, follow a defined workflow, and complete one or more tasks with appropriate controls.
A chatbot generally focuses on conversation and answering questions. An AI agent can be designed to use tools, retrieve information, call APIs, perform multi-step tasks, and interact with business workflows.
Yes. AI agents can integrate with CRM, ERP, databases, REST APIs, document systems, and other software when the required access and APIs are available.
Yes. Documents can be processed and indexed for controlled knowledge retrieval, document analysis, extraction, summarization, and other approved workflows.
Not always. The appropriate level of human oversight depends on the business process. Sensitive or high-impact actions can include human approval before execution.
Yes. AI agents can be integrated into existing web applications, mobile applications, backend systems, and internal business platforms.
Start a project
Tell us which business task you want an AI agent to understand, automate, or assist with. We can design the agent architecture, integrations, knowledge layer, and application experience around your requirements.