Use-case definition
We define the agent's role, what it should and shouldn't do, and how we measure success.
AI Agent & Voice Agent Builds
Custom AI Agent & Voice Agent Development
Imagine a team member who answers routine questions instantly, gathers the right details, and knows exactly when to hand off to a person. We design and build AI agents and voice agents that work with your business tools.
Can someone build an AI agent that works with our existing business tools?
Yes. Custom AI agents can use authorized tools, business information, and defined instructions to perform tasks across supported systems. Voice agents can support spoken interactions, with escalation and safeguards where required. The key is clear scope, appropriate permissions, and thorough testing.
The Business Challenge
What's getting in the way
Customers and employees expect fast answers. Most teams cannot staff for that around the clock.
- Staff spend large parts of the day answering the same questions.
- Calls and inquiries go unanswered after hours or during busy periods.
- Lead details and scheduling requests are collected inconsistently.
- Internal knowledge is hard to find, so people interrupt each other to get answers.
What This Service Solves
A clearer path forward
A well-scoped AI agent handles routine conversations and tasks consistently, collects the right information, and escalates anything complex or sensitive to a person.
Considerations
AI agents work best with clear scope and reliable information. They can make mistakes, so escalate sensitive, complex, or high-stakes requests to a person and monitor performance after launch.
How Davis AI Collective Helps
Our role in your success
We build agents that are useful, predictable, and safe to put in front of real people.
Conversation and logic design
We design instructions, conversation flows, and escalation paths for both chat and voice.
Knowledge and integrations
We connect approved knowledge sources and business tools with appropriate permissions.
Safeguards and testing
We test real scenarios, edge cases, and failure modes before anything goes live.
Practical Example
Example: A service-based business
Illustrative scenario. Not a client case study.
Problem
The front desk receives a steady stream of repetitive scheduling and customer inquiries, pulling staff away from in-person clients.
Approach
A custom voice agent could answer approved questions, collect inquiry details, check scheduling availability through an authorized integration, and transfer complex requests to a team member.
Potential Outcome
Routine calls could be handled more consistently, fewer inquiries would be missed, and staff could focus on clients who need a personal touch.
What You Receive
Deliverables
Use-case assessment
Confirmation that the agent is a good fit and clearly scoped.
Agent architecture
How the agent, tools, and knowledge sources fit together.
Instructions and knowledge
Configured instructions and approved knowledge sources.
Integrations and permissions
Connections to supported tools with limited access.
Safeguards
Escalation paths, guardrails, and handling for sensitive requests.
Testing, deployment, and documentation
A tested agent, launch support, and guides for your team.
Our Approach
How it works
- 1
Discovery
Define the agent's role, audience, channels, and objectives.
- 2
Design
Create conversation flows, instructions, and escalation logic.
- 3
Build
Configure the agent, knowledge, and integrations.
- 4
Validation
Test realistic conversations, edge cases, and safeguards.
- 5
Launch and optimize
Deploy, monitor early performance, and refine.
Who This Is For
A strong fit if
- Businesses with high volumes of repetitive customer inquiries or calls.
- Teams looking to improve scheduling, lead qualification, or intake.
- Organizations that want faster internal access to company knowledge.
- Leaders who want automation that knows when to hand off to people.
Frequently Asked Questions
AI Agent & Voice Agent Builds FAQs
What is the difference between an AI agent and a chatbot?
A basic chatbot follows scripted responses. An AI agent can understand requests, use approved knowledge, and take defined actions in connected tools, such as checking availability or creating a record.
Can a voice agent transfer calls to a person?
Yes, when the phone system supports it. Escalation to a human is standard in our voice agent design.
What affects the cost of building an AI agent?
Cost depends on the agent's scope, channels such as chat or voice, the number of integrations, knowledge preparation, and testing needs. We scope this with you before we start building.
How long does it take to build a custom AI agent?
A focused agent with one channel and few integrations is quicker than a multi-channel agent connected to several systems. We confirm timelines after discovery.
How do you prevent an agent from giving wrong answers?
We limit the agent to approved knowledge, define what it should not answer, add escalation rules, and test thoroughly. Ongoing monitoring helps catch and correct issues.
Related Services
Pairs well with
AI Workflows
Automate repetitive work by connecting your approved tools, information, and processes with AI.
Implementation & Optimization
Turn validated AI use cases into working solutions, then improve performance and adoption over time.
AI Business Assessments
Find out where AI can create measurable value in your business, and what to prioritize first.
From the AI Knowledge Hub
Related insights
Ready to talk about AI Agent & Voice Agent Builds?
Book a consultation to discuss your goals and whether this service is the right next step.