How to Build the Best AI Agents in 2025 with Convin’s Voice AI

TL;DR 

• Discover how the best AI agents transform business operations in 2025 with advanced voice and coaching features.
  
• Learn why the best AI agents from Convin offer unmatched customization like tone, goals, and language settings.
  
• See examples of the best AI agents automating sales outreach, customer support, and collections effectively.
  
• Explore core components that make the best AI agents reliable, scalable, and easy to deploy across industries.
  
• Understand how leveraging the best AI agents drives business growth by improving efficiency and customer experience.

As we move into 2025, industries are navigating a perfect storm: rising customer expectations, economic pressure, and a thin workforce. 

Contact centers struggle with agent churn and inconsistent service quality. Real estate firms lose leads due to delayed follow-ups. Financial institutions are buried under compliance-heavy processes. 

And across sectors, businesses face one common challenge—doing more with fewer resources.

At the same time, the bar for customer experience keeps rising. Buyers expect fast, context-aware, and always-on communication—something even the most skilled human teams can't consistently deliver at scale.

This is where AI voice agents are proving indispensable.

Unlike legacy bots or static IVRs, modern AI voice agents—powered by large language models and real-time data—can conduct intelligent conversations, automate repetitive calls, and escalate issues when necessary. 

They can manage thousands of simultaneous interactions without fatigue, bias, or error, such as collecting payments, booking appointments, or qualifying leads.

For example, a collections team using AI agents can reduce manual call volume by 60% while improving recovery rates. In real estate, agents can focus on closings while AI handles initial inquiries 24/7.

This blog will explain how to build high-performing, best AI agents in 2025, covering critical features, configurations, and frameworks to deploy helpful and business-critical agents.

If you’re looking to cut costs, boost productivity, and enhance CX, AI voice agents are your next strategic investment.

Transform calls with Convin’s tone and goal customization.

Why AI Agents Are Essential to Business Success in 2025

Artificial Intelligence (AI) agents are already transforming how businesses interact with customers, manage operations, and scale services. 

In 2025, AI voice agents will have become foundational in contact centers, sales operations, real estate, and customer experience teams. These agents go beyond scripted bots. 

Powered by large language models (LLMs), integrated knowledge bases, and autonomous workflows, they now function as intelligent, decision-making assistants.

But what exactly are AI agents?

In simple terms, AI agents are software entities that can autonomously perceive their environment, process information, and perform tasks to achieve specific goals. 

They can be programmed to handle various activities—from answering customer queries to executing multi-step workflows involving external systems.

Today’s AI voice agents have evolved to:

• Understand complex customer queries
• Maintain conversational context across interactions
• Automate routine tasks
• Integrate seamlessly with CRM and support tools
• Operate autonomously or in coordination with other agents (multi-agent systems)

Building the right AI voice agent has become a strategic imperative as businesses aim for operational efficiency, customer satisfaction, and revenue acceleration. 

AI Agent Examples Across Industries

AI agents are no longer confined to tech-first organizations. Their impact spans diverse sectors, offering tailored solutions to different operational needs.

1. Customer Support
Voice agents handle over 80% of tier-1 queries for many enterprises. These agents resolve issues, route complex calls to human agents, and maintain a consistent tone and compliance. For example, in telecom, AI agents resolve billing issues and guide users through technical troubleshooting.

2. Real Estate
AI agents are revolutionizing lead qualification and nurturing. They call potential buyers, provide property details, and schedule viewings without human intervention. This means increased lead conversion and reduced manual effort for real estate agencies.

3. Sales & Collections
Outbound voice agents drive personalized outreach at scale. They introduce products, handle objections, and capture buying intent in sales. In debt collection, they manage follow-ups while adhering to compliance requirements.

4. Software Development Support
AI agents are being embedded in dev tools to help with debugging, documentation, and even code suggestions. These agents accelerate time-to-resolution for engineering teams.

These use cases underscore the adaptability of AI agents. Whether you're in healthcare, BFSI, or BPO, deploying an intelligent agent can directly impact operational KPIs.

Personalize every call using Convin’s voice selection tools.

Core Components of an AI Agent: The Convin "Build Your Agent" Flow

Convin’s "Build Your Agent" platform offers a structured yet flexible approach to creating AI voice agents. Here's a breakdown of the key configuration steps and why each matters.

1. Agent Identity

Name: Assign a unique name to the agent for easy reference. This becomes essential when managing multiple agents across campaigns or departments.

Voice & Tone: Choose from voice types and tones such as:

• Casual
• Professional & Formal
• Friendly & Conversational
• Persuasive & Sales-Driven
• Empathetic & Supportive

This customization ensures the agent aligns with brand personality and audience expectations. 

For instance, a support agent in healthcare should sound calm and professional, while a sales agent for D2C brands can be more upbeat and persuasive.

2. Agent Behavior Configuration

Conversation Goal: Define the primary objective of the agent’s interaction—be it resolving a support ticket, collecting payment, scheduling a demo, or qualifying a lead. Use dynamic variables like {customer_name} to personalize at scale.

Best Practices:

• Be specific (e.g., "resolve billing issue within 3 minutes")
• Maintain consistency with selected tone and voice
• Align goals with your business use case (sales, support, collections)

Temperature: This setting controls the creativity of responses. A low temperature (e.g., 0.2) results in predictable, structured replies—ideal for compliance-heavy environments. A higher value (e.g., 0.8) adds conversational variation, suitable for sales.

Call Direction & Duration: Select whether the agent handles inbound or outbound calls and define maximum call lengths. This ensures agents remain within acceptable operational windows and optimize average handle times.

Initial Language: Choose the default language the agent uses to initiate conversations. Convin supports dynamic switching, enabling multilingual conversations based on customer preference.

3. Knowledge Base Integration

An agent is only as smart as the knowledge it can access. Convin allows users to upload structured documents, add URLs, or paste text directly into the agent’s reference base.

Best Practices:

• Keep content concise and formatted
• Use headings and bullet points for readability
• Regularly update content to maintain accuracy

This knowledge base empowers agents to accurately answer factual questions about return policies, product specs, or compliance protocols.

4. Testing and Deployment

Before launching, users can simulate calls using the Test Your Agent feature. This critical step ensures

• Conversational flow matches expectations
• Knowledge retrieval works correctly
• Tone and voice suit the use case

Once satisfied, users can Save Agent for future deployment, editing, or removal.

Upcoming Features:

• Call Transfer: Hot transfer to a live human agent when needed
• Voicemail Detection: Automatically leave custom messages if no one picks up

These additions will further enhance the agent’s real-world effectiveness.

Build AI agents that truly understand your customers. Try it yourself!

Convin’s Top AI Agent Features to Prioritize in 2025 

Convin’s AI Phone Call solution is built for businesses that demand real conversations, not canned responses. It enables teams to create intelligent voice agents to initiate and manage high-quality, autonomous phone calls across sales, support, collections, and more. 

Here’s a breakdown of the most impactful features Convin offers for building enterprise-ready AI agents in 2025.

1. Fully Customizable Agent Personality & Tone

With Convin, you can configure each AI agent's voice, tone, and persona to match the context and customer profile. Choose from a range of predefined tones like

• Friendly & conversational for inbound support
• Persuasive for outbound sales
• Empathetic for collections or healthcare

This ensures your AI voice agent feels less robotic and more like a well-trained human rep.

2. Clear Goal Definition for Every Call

Every Convin agent begins with a purpose. Whether the goal is to recover dues, book a demo, or collect customer feedback, Convin lets you define clear, outcome-oriented call goals. 

You can even personalize conversations with variables like {customer_name} or {due_amount}.

3. Enterprise-Grade AI Phone Calls

Convin’s AI Phone Call infrastructure enables:

• Thousands of parallel outbound/inbound calls
• Human-like intonation and conversation flow
• Real-time context switching based on customer responses

This isn’t a chatbot on the phone. It’s a virtual agent trained on real-world business logic—able to negotiate, follow up, and act based on outcomes.

4. Dynamic Conversation Control with Temperature Settings

Adjust how creative or structured your agent is using temperature control. A lower temperature ensures consistent responses for compliance-heavy industries (like finance or healthcare). 

For exploratory sales conversations, a higher setting allows for more dynamic exchanges.

5. Built-in Knowledge Base for Smart Responses

Convin allows you to upload documents, product manuals, and FAQs, or paste key messaging points directly into the agent’s knowledge base. The AI then pulls relevant facts on the fly, responding with contextually accurate answers instead of generic scripts.

6. Language & Localization Support

Agents can start conversations in multiple languages, switch dynamically mid-call, and adjust phrasing to match cultural nuances. Perfect for businesses targeting multilingual customer segments or operating across geographies.

7. Voice Selection & Branding

Convin offers a range of realistic AI voices—male, female, and regional accents—to make each call more relatable. Whether you want a calm support rep or an energetic sales persona, you can fine-tune how your AI agent sounds.

8. Call Duration & Direction Settings

You can define:

• Call direction (inbound, outbound, or both)
• Maximum call duration to ensure efficiency
• Fallback actions if the call runs longer or becomes unproductive

This level of control is crucial for managing CX and compliance in high-volume call environments.

9. Pre-Deployment Testing

Before going live, Convin allows you to simulate conversations through a test environment. You can tweak scripts, change logic, and test edge cases to ensure your agent performs as intended under real-world conditions.

10. AI Coaching Built In

One of Convin’s standout capabilities is AI Coaching, where real conversations (from human reps and AI agents) are automatically analyzed. Managers get:

• Performance breakdowns
• Behavioral cues
• Coaching recommendations

This helps improve your human teams and trains your AI agents continuously.

11. CRM & Workflow Integrations

Convin’s agents can instantly update CRMs, trigger workflows, and log outcomes. Whether marking a lead as qualified or scheduling a callback drives process automation end-to-end.

12. Upcoming Enhancements

Convin is actively evolving, with upcoming features like

• Live call transfers to human agents for complex or emotional conversations.
• Voicemail detection to leave customized messages when customers don’t pick up.

These features add depth to autonomous calling strategies, bridging automation with human support when needed.

With Convin, your AI voice agents accelerate outcomes across the funnel. Whether aiming to reduce agent workload, scale outreach, or improve collection efficiency, these features combine to deliver measurable business impact without sacrificing quality.

Convin’s AI Phone Call capabilities are enterprise-ready, configurable, and designed for performance. If you're serious about deploying AI voice agents in 2025, these features will give you a competitive edge.

Manage call direction effortlessly with Convin’s platform.

Advanced Capabilities: Autonomous and Multi-Agent Systems

While single-agent deployments are impactful, the future lies in autonomous multi-agent systems, where several AI agents with distinct roles collaborate to solve complex problems.

For example:

• A support agent handles issue resolution.
• A sales agent follows up post-resolution.
• A billing agent finalizes payment.

All three share customer context and operate in sequence without human intervention. This modular approach increases scalability and operational fluidity.

Agent Frameworks and LLM Orchestration:

• Developers can use open-source tools to orchestrate agent behavior.
• Agents can query external systems (e.g., databases, CRM) in real time.
• Tasks like appointment booking, information look-up, and workflow escalation become programmatically executable.

These frameworks ensure agents don’t operate in silos but as part of your broader enterprise tech ecosystem.

Business Impact: ROI of Building AI Agents

Organizations adopting AI voice agents with platforms like Convin report measurable gains:

• Increased CSAT & NPS: Personalized, consistent, and fast responses
• Reduced Operational Costs: Fewer support staff needed for tier-1 queries
• Higher Lead Conversion: Persistent follow-ups with consistent messaging
• Improved Compliance: Built-in guardrails to avoid risky conversations

Consider a mid-sized BPO that deployed Convin-powered agents across four verticals. Within three months:

• Call resolution times dropped by 35%
• Agent training time was reduced by 50%
• Customer satisfaction increased by 22%

These outcomes are not anomalies—they're becoming the norm for organizations that invest in AI agents thoughtfully.

Empowering Both Developers and CX Teams

A significant strength of Convin’s platform is its dual appeal:

For Non-Technical Users:

• Drag-and-drop interfaces
• Predefined conversation goals and tones
• Easy testing and saving workflows

For Developers:

• API access for deeper integrations
• Open-source support for custom agent frameworks
• Fine-grained control over agent logic and decision-making

Building, testing, and deploying intelligent agents has never been more accessible, whether you're a CX manager or a software engineer.

Build Future-Ready AI Agents with Convin

AI voice agents are no longer just tools—they are strategic assets. With Convin’s "Build Your Agent" feature, businesses get a powerful, flexible, and intuitive platform to design agents that:

• Reflect brand tone
• Achieve specific business goals
• Integrate with internal systems
• Scale across geographies and languages

Convin gives you the tools to work quickly and accurately, whether your goal is to automate support, increase sales productivity, or establish autonomous workflows.

Book a demo today and build AI agents that drive real business value.

FAQs

1. What are multi-agent systems, and how do they improve AI workflows?
   Multi-agent systems involve multiple AI agents collaborating to handle complex tasks efficiently, enabling better task management and business process automation.
   
   
2. How can autonomous AI agents enhance software development processes?
   Autonomous AI agents can automate coding, testing, and deployment tasks, speeding up the software development lifecycle and reducing human error.
   
   
3. What role do agent frameworks play in building AI agents?
   Agent frameworks provide structured tools and libraries that simplify creating, managing, and scaling intelligent agents with integration to external systems.
   
   
4. How does collaborative intelligence between AI agents and humans boost business value?
   Collaborative intelligence leverages AI agents for data processing and analysis while humans focus on decision-making, improving accuracy and operational efficiency.