The Buyer’s Guide to Agent Productivity Tools
A practical framework for choosing the right AI-powered solutions to elevate your support team
In this guide, we’ll cover everything to look for in an AI-powered agent productivity solution.
Clarifying Your Use Case and Business Context
What a Best-in-Class Agent Productivity Solution Delivers
Scalability and Architecture That Grows With You
Security, compliance and governance
Understanding Cost and Pricing Models
Vendor, Support and Ecosystem Fit
Designing a Great User Experience
Observability, Measurement and Success Metrics
Today’s customers are moving fast, but many support operations are not. Agents switch between fragmented systems and manual workarounds—even when attempting to resolve the simplest, most common issues.
71%
of consumers believe AI will improve experiences
In fact, 71% of consumers believe AI will positively impact their experiences if leveraged correctly by businesses, but only 16% have described these efforts as excellent so far. 69% of consumers also say it’s important that automated interactions feel human-like. This is exactly why more organizations are embracing AI-powered agent productivity. Not for the hype, but because it genuinely changes how support teams work.
45%
of consumers believe AI will improve experiences
45% of organizations that invest in conversational AI personalization report higher customer satisfaction and engagement. They also report increased loyalty, better customer insights, and higher revenue. Twilio’s Agent Productivity solution blends AI, automation, data, and real human know-how into a single, flexible system activated on any digital channel. It helps you grow, automate, and give customers the smooth, easy experiences they expect.
Clarifying Your Use Case and Business Context
/ 01
Every great AI initiative starts with clarity. Before choosing any tool, define what problem you’re solving, where AI fits, and how automation should work alongside your human agents.
Many organisations begin with one of these core challenges
Reducing workload and burnout
Improving self-service containment
Gaining visibility
Scaling omnichannel support
Speeding up response and resolution
Reducing workload and burnout
Improving self-service containment
Gaining visibility
Scaling omnichannel support
Speeding up response and resolution
A clothing shop’s support team spends half their day answering the same question about order status, returns, and store hours.
Example
Reducing agent workload and burnout caused by repetitive inquiries and manual workflows
70% of customer support cases can actually be solved by conversational AI while maintaining customer satisfaction. 41% of businesses report significant time savings from using AI.
Fact
40% of consumers say AI gets stuck in loops or repeats itself and 54% want an easy option to connect with a human when they run into these roadblocks with AI.
Fact
A car dealership launches a basic chatbot, but it can only handle simple FAQs, leading to a poor customer experience and lost revenue opportunities.
Example
Improving self-service containment without frustrating customers
45% of businesses say AI’s greatest strength is its ability to adapt to customer needs. However, only 34% of consumers feel that brands are transparent about how customer data is actually used with AI.
Fact
A fintech company can only manually review 1-2% of customer calls, so they have no real-time view of agent performance and compliance–both individually and across the business.
Example
Gaining visibility into conversation quality, sentiment, and compliance to drive consistency in customer interactions
Only 16% of consumers feel like brands are excellent at personalizing communications on their preferred channels. 40% of consumers prefer messaging apps and 50% prefer email, so coordinating across the most popular channels is crucial.
Fact
A global brand lets customers message them on WhatsApp, call the 1-800 number, and submit tickets online, but none of these systems talk to each other.
Example
Scaling omnichannel support across voice, SMS, WhatsApp, chat, and email
72% of consumers are happy to use AI as long as it feels human and solves quickly. Consumers are willing to wait only 4.3 minutes for AI support versus 8.5 minutes to talk to a human agent, so speed and reliability both matter.
Fact
A travel company has VIP customers who expect instant help when flights change or bags get lost.
Example
Speeding up response and resolution for high-value customers
What a Best-in-Class Agent Productivity Solution Delivers
Today’s AI agents need to do far more than answer simple questions. They must understand what
customers want, take meaningful action, and continually improve.
With ConversationRelay, every handoff to a human is delivered with complete conversational memory and state, eliminating resets, silos, and broken experiences. This is not incremental improvement over legacy contact centers; it’s a fundamentally different model for how human and AI teams work together.
The strongest solutions share
a common set of capabilities
Advanced language understanding and processing
The AI accurately interprets intent, sentiment, and context, giving both automated flows and live agents the intelligence they need to respond quickly and appropriately
Human-like dialogue flows
It can hold a natural back-and-forth conversation, remember context, answer follow-up questions, and guide customers through multi-step tasks with ease.
Memory and context retention
The agent keeps track of previous interactions, even across sessions and channels, so customers never have to repeat themselves.
Deep integrations with your systems
It connects with your CRM, ERP, ticketing platforms, and data tools, ensuring it has the relevant information needed to adhere to policy, personalize responses, and resolve issues.
Ability to take real action
Beyond answering questions, the AI can complete tasks like resetting passwords or updating accounts through automated workflows.
Smart escalation to humans
When an issue needs human assistance, AI-powered virtual agents know how to transfer the conversation to a person, providing all relevant context so the customer never has to repeat themselves.
Built-in analytics and monitoring
Every interaction is analyzed for topics, sentiment, compliance, and friction–continuously enriching customer profiles and giving leaders a complete view of performance and quality.
Continuous learning
The system gets smarter over time, and so do your teams.
AI agents succeed only if they can scale. As your traffic grows, the platform must deliver consistent performance and reliability.
Twilio’s architecture is cloud-native, globally distributed, and designed for enterprise workloads. Because it is modular and API-first, you can introduce AI gradually.
Start with one workflow, then expand into virtual agents, agent assistance, and additional channels (SMS, email, chat,) as you go, without replacing your existing systems.
This “evolve, don’t rip-and-replace” approach is one of the core advantages cited by customers who need flexibility rather than rigid CCaaS constraints. Many organizations start with a single use case, like AI-assisted chat or voice analytics, and then expand into omnichannel support as they prove ROI and build internal confidence.
Scalability and Architecture That Grows With You
/ 02
Camping World deepens RV customer ties
Camping World turned to Twilio Segment so they could better understand their customers and to be able to communicate with them personally about where they're at and what they're interested in.
35%
in conversion rates
marketing campaign conversions
12%
Read more
When deploying AI in customer operations, governance isn’t negotiable. Look for a solution that includes:
Security, compliance and governance
Strong access controls and permissions
End-to-end encrytion
Full audit trails and conversation logging
Clear, explainable AI outputs
Compliance alignment (GDPR, HIPAA, SOC2)
Guardrails to prevent non-compliant answers
Each vendor prices differently. Some charge by seat, some by interaction, and some by resolution. This lets companies scale usage while reducing per-unit cost.
Understanding Cost and Pricing Models
/ 03
When evaluating ROI, consider not just licensing but also
Labor savings from automation
Higher containment
Reduced handle time
Lower agent turnover
Improved CSAT
Revenue impact
Vendor, support and ecosystem fit
Your chosen vendor should provide more than technology;
they must offer partnership.
Twilio brings
Transparent roadmaps and enterprise reliability
05
A flexible ecosystem of partners and integrations
04
A world-class developer ecosystem
03
Extensive documentation and expert support
02
Market leadership in CPaaS and engagement platforms
01
Twilio’s modular approach means you can build exactly what you need, with as much or as little customization as your teams require.
Read more
implementation
4 weeks
annualized savings
$100K
With Twilio Verify Fraud Guard, Lime can verify new user sign-ups—their biggest source of fraud—and improve the overall security of their platform for their riders and business.
Lime kicks fraud to the curb with Twilio Verify
No matter how powerful the technology, customer experience depends on thoughtful design.
Designing a Great User Experience
/ 04
70%
deflection rate via virtual agents (up from 30% in just three months)
savings in operational costs
45%
AI investments must deliver measurable outcomes. You should be able to track critical business metrics at both individual, team, and organizational levels:
Twilio’s Conversational Intelligence gives leaders real-time dashboards and insights across 100% of conversations–not the tiny sample manual compliance, training, or QA teams typically rely on.
Observability, measurement and success metrics
Nicola Davis
ndavis@email.com
Loyalty Number
VIP r8765679
Shop our 3-day sale
Opened Email
Top 5% higher than average
Predicted Lifetime Value
When selecting an agent productivity solution, ensure the vendor can not only expose these metrics but also help you act on them, closing the loop between insight and improvement.
Our customer stories give a sense of what “good” looks like when you measure the right things:
saw a
25% increase
in new customer conversion rates
maintained a
with telehealth instructions and communications
94% patient satisfaction rate
achieved a
in conversion rates on paid channels
35% increase
managed roughly
with fraud detection
$100K in annual savings
Let’s be honest. Support teams are doing the best they can with outdated tools that weren’t built for the modern-day customer. People want quick answers, seamless handoffs, and help on whatever channel they feel like using. Agents want fewer clicks, fewer tabs, and fewer, “I’m sorry, can you repeat that?”
Twilio’s Agent Productivity solution delivers on exactly that. It blends automation, AI, and real-time insights into one clean workflow that makes everyone’s job easier. Customers get smoother experiences, agents get the support they need, and teams get a system that can finally scale without the stress.
Final Thoughts: Modern Service Requires Modern Tools
You can also read why Twilio is positioned in the Leaders category in this 2025 IDC MarketScape for worldwide communications platform as a service.
Visit our website
about Twilio’s agent productivity solutions
Find out more
Drag cards to see more
increase
lift in
of businesses report significant time savings from using AI
41%
of customers feel that brands are transparent about customer data
34%
