GenAI-powered technologies are the easiest way to scale call center operations without adding headcount.
They autonomously automate 80% of routine while staying compliant in regulated industries like insurance, collections, healthcare, and banking. This frees the human agents from admin backlogs and gives them the time to focus on other tasks.
Here's how to get started with contact center automation the right way.
What is Contact Center Automation?
Contact center automation is the use of artificial intelligence (AI) to automate routine conversations and handle admin tasks at scale.
AI voicebots and chatbots got call center automation started, and now AI agents are leading the way because of their contextual understanding and conversational approach that today's customers expect.
How Does Contact Center Automation Work?
These AI agents combine large language models (LLMs) with your workflows and data so they can understand what customers need and act on it.
Here’s how they work together when a customer reaches out:
- The AI agent receives the query from any channel
- Analyzes the intent of the query and pulls a relevant workflow
- Executes the workflow and finishes the task
- If escalation is needed, it performs a warm handoff with full context
- Records and audit logs to your core system
These AI agents handle the entire lifecycle, whether it's a normal day or a sudden volume surge. Read how Capital Recovery automated its healthcare collections workflow and collected $1M in just 90 days with two voice AI agents.
Types of Contact Center Automation
Here are the different types of contact center automation.
Interactive Voice Response (IVR) Systems
IVR has been a popular AI solution widely used across industries. It simply directs callers to the appropriate queue based on the menu they selected. Trained on rigid and predetermined workflows, it follows a script and lacks an intuitive, conversational experience.
Chatbots and voicebots
Voicebots and chatbots take automation beyond traditional IVRs. They understand the conversational queries and match the response from the knowledge base. It can perfectly handle FAQs and collect details as required.
AI Agents
Trained on advanced AI models, they autonomously perform tasks with end-to-end execution across channels. The AI agents can analyze the user intent, call APIs from your core system, and perform the needed action without breaking the entire flow.
Key Benefits of Automation in the Contact Center
Increase Customer Satisfaction
One of the main strengths of contact center automation is its ability to handle volume and resolve inquiries efficiently without any human oversight. AI-powered voicebots or chatbots deliver 24/7 customer service without breaking the operational flow.
Improve Agent Productivity
AI takes repetitive tasks off human agents’ plates, giving them time to focus on other important tasks. In case a conversation needs a human, it performs a warm transfer with full context to avoid any kind of repetition. During live calls, it provides real-time assist to human agents, suggestions, checks compliance, and extracts information.
Reduce Costs and Increase Digital Sales
Contact center automation saves the recruiting and onboarding costs. Pre-trained AI agents make the deployment time shorter and handle call volume during surge without any new hiring.
It also accelerates lead generation. AI agents can proactively reach out to prospects, ask pre-lead qualifying questions, and hand over the qualified leads to the human agent for the next step.
Contact Center Automation Use Cases
Automate Outbound Calls
Outbound call automation is the a popular use case. AI agents effectively handle follow-ups and repeated dialing. Some of the most common use cases for automated outbound calls include:
- Send payment reminders, offer payment plans, and collect payments.
- Schedule appointments, send reminders before them, and handle rescheduling or cancellations.
Floatbot's debt collections AI agent, LEXI, automates 90% of customer support and increases collections by 60% without any manual gaps.
Automate Inbound Calls
The inbound call volume is unpredictable, which makes it ideal for automation. Purpose-built insurance AI agents like LISA handle FNOL submission 24/7, automating up to 80% of claims. That reduces the manual workload, and your team can focus on settling the claims faster.
Other inbound use cases include provide real-time claim status updates, answer billing and policy questions, and send proactive updates that reduce inbound flow.
FAQs or Customer Support
Contact centers spend a large chunk of their day answering FAQs. AI agents answer them instantly across voice, chat, email, and SMS. LLM-powered AI agents have replaced the basic modules that merely answer questions. Agent M is one of the powerful frameworks that interacts with your customer, connects with your data, calls APIs, and automates your workflows in real time.
Will Contact Center AI Replace Human Agents?
No, AI won't replace human agents, especially in regulated industries.
AI excels at automating routine workflows, but some conversations still need a human, like complex cases or when the person simply wants to talk to a human.
Floatbot's AI agents are built on two modes: automation and assist.
- It automates high-volume interactions across digital channels and back-office workflows
- It assists human agents during live calls with real-time assist, nudges, compliance suggestions, and more
This is a human-in-the-loop approach that lets AI and humans work within the same workflow. The AI handles the volume and supports your reps so they can focus on judgement and other critical issues.
Best Practices for Automating Your Contact Center
Surface-level automation isn't enough.
The focus has now shifted from a basic automation that can answer questions to AI agents that can fully execute your workflows across the entire customer journey. Here are some features to look for while picking an AI agent platform for your contact center automation.
Omnichannel engagement: Seamlessly engage customers across multiple channels (voice, chat, email, social media) for a consistent experience.
Real-time agent assist: Provide human agents with real-time suggestions and relevant information during live calls.
Industry-specific training: Pick AI agents pre-trained on your industry data and terminology to make the deployment faster.
Built-in compliance: Adhere to regulatory and compliance requirements specific to your industry with audit-ready logs of every interaction.
Analytics and reports: Track AI and human agent performance and get deep insights on what's working and what's not.
Get Started with Contact Center Automation
Every regulated industry has its own high-volume conversations worth automating. But the right automation doesn’t just handle one piece of a workflow. It handles the entire workflow, end to end, while staying fully compliant.
That’s where point AI solutions fall short. Context gets lost every time a conversation passes from one tool to the next, and agents end up spending more time switching between fragmented systems than helping customers.
Floatbot’s AI agents are built differently. They automate the entire workflow on one platform, so nothing gets lost between tools.
Floatbot.AI
Floatbot.AI is an enterprise AI platform purpose-built for regulated industries. At its core are three modules built to make automation simpler each step of the way: Conversational AI automates customer interactions, AI WorkSpace supports human agents in real time, and AI WorkFlows handles back-office tasks, all on one platform.
With Floatbot, see:
- 40% deflection of repetitive calls
- 80% improvement in CSAT scores
- 30% increase in agent productivity
- 70–90% reduction in handling time
- 100% compliance adherence
- 24/7 operations with accuracy
Elevate your contact center performance with Floatbot. Schedule a demo to see our AI in action.
