AI Agents
Custom AI agents for customer support and internal operations.
We build AI agents around a defined business workflow, from answering support questions to coordinating internal tasks. We scope the business rules, tool access, and points where your team needs to take over.
Overview
What are AI agents?
Custom AI agents use business context to answer questions and carry out defined tasks. ZoniteAI develops agents for customer support, internal help desks, scheduling, sales qualification, and technical support.
We start with a specific workflow and define the information the agent can use, the systems it needs to connect to, and the actions it may take. Integrations, human handoffs, and evaluation criteria are scoped for each project. An agent needs testing and ongoing review; it does not automatically become more accurate simply by handling more conversations.
What we scope before we build
Bring one workflow and a few representative examples. Together, we define the implementation scope and the criteria for a useful pilot.
- Which requests should the agent handle, and which should go to a person?
- Which systems can it read or update, and which actions need approval?
- Which example conversations and success criteria will guide testing?
- What launch volume, monitoring, and ongoing support does the project need?
The Challenge
Problems This Solves
Teams overwhelmed by repetitive inquiries and requests
Slow response times degrading customer experience
Skilled employees spending time on routine tasks
Inconsistent handling of standard procedures
Applications
Use Cases
Benefits
Why It Matters
Support Coverage
Extend support beyond staffed hours for the requests included in the project scope.
Defined Boundaries
Define approved actions, escalation rules, and examples to evaluate with your team.
Scalable by Design
Plan for request volume, system limits, and the work that still needs a person.
Reviewed Over Time
Use reviewed interactions to identify changes to prompts, knowledge, and workflows.
Industries
Where It Applies
Our Approach
How We Work
Discovery
We map your workflows and identify the highest-impact opportunities for agent deployment.
Design
We architect the agent's decision logic, integrations, and interaction flows.
Build & Test
We build and test the agent against agreed scenarios, including exceptions and human handoffs.
Deploy & Optimize
We launch the agent and continuously refine its performance based on real data.