Glossary
SMS Agent
An AI that resolves customer requests over text.
An SMS agent is an AI that resolves customer requests over text, handling interactions through SMS conversations. Unlike simple auto-responders or FAQ bots, an SMS agent can interpret customer intent, follow multi-step procedures, and complete tasks such as order updates, appointment scheduling, or troubleshooting, all within the SMS channel. These agents are designed to understand natural language, access relevant data, and execute workflows, often escalating to a human when needed.
Why SMS agent matters for CX
SMS agents play a key role in customer experience by meeting customers where they are—on their mobile devices, in a channel that is immediate and familiar. For Feather customers, this means higher containment and faster resolution rates, as customers can get help without switching apps or waiting on hold. SMS agents can handle a wide range of requests, from ecommerce order tracking and returns to healthcare appointment reminders and HR leave requests, all through a simple text conversation.
In ecommerce, SMS agents can process returns, answer product questions, and provide shipping updates, reducing the need for customers to navigate web portals or call support. For HR teams, SMS agents can manage leave requests or benefits inquiries, allowing employees to resolve issues quickly without logging into internal systems. This improves both employee satisfaction and operational efficiency.
For the customer, SMS agents offer convenience and speed. Customers can initiate and resolve requests on their own time, without needing to download an app or wait for business hours. For the operations team, SMS agents help deflect routine inquiries, contain more interactions within automation, and ensure that escalations to human agents are reserved for complex or sensitive cases. This leads to better resource allocation and more consistent service quality.
Challenges and considerations
- Message length and context: SMS is limited to short messages, which can make it challenging for agents to convey complex information or instructions. Agents must be designed to break down responses and maintain context across multiple messages.
- Authentication and privacy: Handling sensitive requests over SMS requires careful attention to authentication and data privacy. SMS is less secure than some other channels, so agents must avoid sharing confidential information unless proper safeguards are in place.
- User expectations: Customers expect quick, conversational responses over SMS. If the agent is too slow, too formal, or fails to understand natural language, it can lead to frustration and increased escalations.
SMS agents are a foundational component of agentic CX, enabling organizations to automate meaningful customer interactions in a channel that is both accessible and effective. By resolving requests directly over text, these agents help companies deliver faster, more convenient service while freeing up human teams to focus on higher-value work.
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Agent Operating Procedure (AOP)
Agent Team
Agentic CX
AI Agent
AI Copilot
Analytics
Approval Gate
Audit Trail
Benchmarking
Bot
Containment
Context Window
Conversational AI
Customer Service Automation
Deflection
Disambiguation
Email Agent
Escalation
Evaluation (Eval)
Fallback
First Contact Resolution
Grounding
Guardrails
Human Handoff
Human-in-the-Loop
Integration
Intent
Jailbreak
Journey
Knowledge Base
Knowledge Gap
Latency
Live Agent
LLM (Large Language Model)
MCP (Model Context Protocol)
Memory
Model Router
Multi-Tenant
Natural Language Processing (NLP)
Natural Language Understanding (NLU)
Net Promoter Score (NPS)
Omnichannel
Orchestration
Persona
PII Scrubbing
Policy
Prompt Injection Defense
Quality Assurance (QA)
Query
Queue
RAG (Retrieval-Augmented Generation)
Resolution
Routing
Save-the-Sale
Self-Service
Session
Shared Brain
Simulation
SMS Agent
Supervisor / Swarm
Time to Resolution
Tool
Trace
Uptime
Utterance
Virtual Agent
Voice Agent
Webchat
Workflow
XAI (Explainable AI)
Zero Data Retention
Zero-Shot

