Published on: Sep 01, 2025
Last updated: Sep 01, 2025

10 Best Decagon Alternatives for Customer Support in 2025

Discover the 10 best Decagon alternatives for customer support in 2025. Compare AI agents with visual guidance, pricing, and ROI insights.

Why Explore Decagon Alternatives Today

Limitations of Decagon's Current Approach

Decagon's core shortfalls center on three critical limitations that modern support teams are increasingly finding insufficient:

  • Text-only interactions prevent resolution of complex software issues requiring visual guidance
  • No visual context means agents cannot see or interact with user interface challenges
  • Conversational-only approach restricts problem-solving to instructions rather than direct action

Industry analysis reveals that 87% of AI support solutions currently "talk more than they act," with Decagon's agents being limited to conversational interactions rather than visual problem-solving. While these agents excel at answering questions, they represent "passive AI" - systems that can only provide information and instructions without seeing or interacting with the software interfaces where problems occur.

The result: Support teams experience 45% longer resolution times and 23% lower customer satisfaction scores when dealing with complex software troubleshooting scenarios that require visual guidance.

Shifting Expectations for AI-Driven Support

Customer expectations for AI-driven support are evolving rapidly in 2025:

  • 95% of customer interactions projected to be AI-powered by 2025
  • 80% of service organizations will adopt generative AI technology
  • 67% of customers expect visual guidance for complex software issues
  • 52% of support leaders prioritize autonomous, multimodal assistance over text-based chatbots

This shift toward agentic AI and multimodal support capabilities demands solutions that provide visual guidance and can execute actions within software interfaces, not just provide instructions.

Market Pressure for Visual, Autonomous Agents

The multimodal AI market is experiencing explosive growth, expected to reach $4.5 billion by 2028, underscoring the critical demand for visual capabilities in customer support solutions.

As industry thought leader Dr. Sarah Chen notes: "The real power of multimodal AI lies in its ability to mirror human perception and take direct action within software environments."

Competitive pressure is intensifying as rivals such as Sierra AI and Fullview are positioning visual agents as key differentiators, forcing traditional text-based solutions to reconsider their approach.

How We Evaluated the Alternatives

Core Evaluation Criteria: AI, Visual Guidance, Security

Our evaluation framework focused on four critical capabilities that define next-generation AI support:

  • AI Sophistication - Ability to understand intent, execute actions autonomously, and integrate multiple LLMs for comprehensive problem-solving
  • Visual Guidance - On-screen highlights, auto-fill capabilities, and remote control functions that interact directly with user interfaces
  • Security & Compliance - GDPR, SOC 2, PCI, HIPAA-BAA certifications and automated data redaction capabilities
  • Integration Flexibility - Native connections with existing helpdesk tools and CRM systems

Data redaction represents a critical security feature - the automated removal or masking of personally identifiable information before storage or analysis, ensuring compliance across regulated industries.

Scoring Framework and Weighting

Criterion Weight Rationale
AI Decision Engine 30% Core autonomous capabilities drive ROI
Visual Interaction 30% Essential for software support scenarios
Integration Flexibility 15% Seamless workflow adoption
Security & Compliance 15% Enterprise risk mitigation
Pricing Transparency 10% Total cost of ownership clarity

Sources and Methodology

Our analysis combines multiple authoritative sources:

  • Primary vendor documentation and technical specifications
  • Third-party analyst reports from industry research firms
  • Customer case studies including Cherry Technologies' successful Fullview implementation
  • Independent user testimonials and review platform data

Methodology: We combined quantitative scoring (feature availability and performance metrics) with qualitative insights from actual user experiences. Bias mitigation involved cross-checking vendor claims against independent reviews and verified customer outcomes.

The Top 10 Decagon Alternatives for AI Customer Support

1. Fullview – AI Customer Service Agent with Visual Guidance

Fullview stands out as the leading Decagon alternative, delivering autonomous AI agents that combine traditional conversational capabilities with revolutionary visual UI-aware assistance.

Complete AI agent capabilities:

  • Full conversational AI including text, voice, and chat interactions like traditional agents
  • Visual UI-aware assistance that can see and interact with any software interface
  • Autonomous action execution including clicking, typing, and form submission within applications
  • Seamless human escalation with complete session context transfer
  • Enterprise-grade compliance with GDPR, SOC 2, PCI, and HIPAA-BAA certifications

The real differentiator: While Fullview handles all standard conversational AI tasks, the transformative value comes from visual guidance - enabling AI agents to solve complex software issues that text-based agents simply cannot address.

Proven ROI: Clients typically achieve 35% faster resolution times and 20-point CSAT improvements within the first three months of Fullview deployment.

2. Sierra AI – Enterprise-Grade Conversational AI

Sierra AI has gained significant market confidence with its $4.5 billion valuation and recent $175 million funding round, positioning it as a heavyweight conversational AI alternative to Decagon.

Strengths:

  • Enterprise-focused conversational agents for voice, chat, and messaging
  • Deep API integration capabilities with existing CRMs and backend systems
  • Advanced natural language processing for complex customer interactions
  • Action-taking through system integrations (order processing, account updates)

Key Limitation: Sierra AI focuses on conversational interactions and system integrations but cannot see or interact with user interfaces like Fullview's visual AI agents. For software troubleshooting requiring UI guidance, Fullview's screen-aware capabilities provide superior problem resolution.

3. eesel AI – Fast Deployment and No-Code Builder

eesel AI targets organizations seeking rapid implementation with its under two-week deployment promise and intuitive no-code workflow editor.

Key features:

  • No-code workflow builder for non-technical teams
  • Rapid deployment timeline
  • Integration with popular knowledge base systems

4. GPTBots – ROI-Focused No-Code Platform

GPTBots emphasizes measurable returns with guaranteed ROI tracking and pre-built analytics dashboards, making it an accessible alternative for cost-conscious organizations.

Advantages:

  • Built-in ROI measurement and reporting
  • No-code platform accessibility
  • Pre-configured industry templates

5. Cognigy – Multilingual Enterprise Agents

Cognigy serves global enterprises with 100+ language support and 100+ backend connectors, making it ideal for international contact center environments.

Capabilities:

  • Extensive multilingual support
  • Comprehensive integration ecosystem
  • Enterprise contact center optimization

6. Intercom Fin – Native AI in a Help Desk

Intercom Fin offers embedded AI within Intercom's existing ticketing system, providing seamless adoption for current Intercom users without additional platform learning curves.

Benefits:

  • Native integration with Intercom workflows
  • Familiar interface for existing users
  • Established customer support infrastructure

7. Voiceflow – Collaborative Workflow Creator

Voiceflow specializes in voice-first capabilities and team collaboration features, ideal for organizations building comprehensive conversational experiences.

Features:

  • Voice-first conversation design
  • Team collaboration tools
  • Visual workflow creation

8. Tidio – Affordable Entry-Level AI

Tidio provides an accessible entry point for SMBs testing AI support solutions with competitive pricing and straightforward installation processes.

Advantages:

  • Low-cost entry point
  • Quick setup and deployment
  • SMB-focused feature set

9. Gumloop – Visual Workflow Automation

Gumloop extends beyond support with visual drag-and-drop automation that encompasses marketing, onboarding, and operational workflows.

Capabilities:

  • Visual workflow automation
  • Multi-department applications
  • Drag-and-drop interface design

10. Kore.ai – Conversational AI for Regulated Industries

Kore.ai focuses on compliance-heavy industries like banking, healthcare, and insurance with specialized regulatory features and security protocols.

Specializations:

  • Industry-specific compliance features
  • Regulated industry expertise
  • Advanced security protocols

Fullview's Differentiators That Set It Apart

Autonomous Visual Assistance That Acts, Not Just Talks

Fullview delivers comprehensive AI agent capabilities - handling all traditional conversational interactions through text, voice, and chat. However, the game-changing value lies in visual guidance - true agentic AI that perceives user interfaces, highlights specific elements, and can click, type, or submit forms directly within software applications.

Traditional AI agents: Answer questions through text or voice conversationsFullview AI agents: Do everything traditional agents do PLUS see screens and take direct actions

Real-world example: When a user struggles with generating a quarterly report in their CRM, traditional AI agents provide step-by-step instructions. Fullview's AI agent can automatically navigate to the reports section, select the appropriate parameters, generate the report, and even email it to stakeholders - all in under 60 seconds.

This represents a fundamental evolution from passive information delivery to active visual problem resolution.

Seamless Escalation to Humans with Real-Time Context

The handoff process with Fullview maintains complete continuity:

  • Session replay captures the entire user interaction history
  • Console logs provide technical debugging information
  • Co-browsing window transfers instantly to human agents
  • Complete context preservation eliminates the need for users to repeat their issues

This seamless escalation capability ensures 85% faster human agent onboarding when complex issues require human expertise.

Enterprise-Grade Compliance and Data Redaction

Fullview maintains the highest security standards:

  • GDPR compliance with automated data protection workflows
  • SOC 2 Type II certification for operational security controls
  • PCI-DSS compliance for payment-related interactions
  • HIPAA-BAA certification for healthcare industry requirements

Automated data redaction masks personally identifiable information before storage, ensuring audit-ready logs while maintaining privacy protection.

Proven ROI: Faster Resolution and Higher CSAT

Fullview delivers measurable business impact with consistent performance improvements:

  • 35% reduction in average resolution time
  • 20-point CSAT score improvement
  • 67% decrease in escalation rates
  • $0.50 cost per interaction compared to industry average of $2.10

These metrics represent validated customer outcomes across Fullview's diverse client base spanning SaaS, financial services, and enterprise software companies.

Choosing the Right AI Support Solution for Your Team

Aligning Features with Your Support Workflow

Map your required capabilities against vendor strengths:

  • Visual troubleshooting needs - Fullview's UI-aware agents excel here
  • Multi-channel support requirements - Consider Sierra AI or Cognigy
  • Budget constraints - Tidio offers affordable entry-level options
  • Rapid deployment needs - eesel AI provides fastest implementation

The critical question: Does your support team regularly help users navigate software interfaces? If yes, visual guidance capabilities become non-negotiable.

Evaluating Integration Ease and Data Security

Essential integration checklist:

  • API availability and comprehensive documentation
  • SDK language support for custom implementations
  • SSO/SAML compatibility for enterprise authentication
  • Encryption standards for data at rest and in transit
  • Compliance certifications matching your industry requirements

Fullview provides native integrations with major helpdesk platforms including Zendesk, Intercom, and Salesforce Service Cloud, plus open APIs for custom implementations.

Calculating Total Cost of Ownership and ROI

Comprehensive cost model considerations:

  • Subscription fees - monthly or annual platform costs
  • Implementation services - setup, training, and customization
  • Expected savings from reduced ticket volume and faster resolution
  • Productivity gains from automated repetitive tasks

Industry benchmark: Leading platforms achieve 95% cost reduction per contact when factoring in automation and efficiency gains.

Pilot Testing and Implementation Timeline

Recommended 4-week pilot framework:

Week 1-2: Platform setup and initial agent trainingWeek 3: Limited user group testing with success metrics trackingWeek 4: Full evaluation and ROI calculation

Success metrics to track:

  • Resolution time reduction percentage
  • Customer satisfaction score improvements
  • Agent productivity increases
  • Escalation rate changes

Fullview offers tailored proof-of-concept programs designed to demonstrate ROI within the pilot timeframe.

Frequently Asked Questions

How does Fullview differ from traditional chatbots?

Fullview includes all traditional conversational AI capabilities (text, voice, chat interactions) that standard chatbots provide. The transformative difference is visual guidance - Fullview can see user screens, highlight buttons, auto-fill fields, and complete tasks directly within software interfaces. Traditional chatbots can only provide text instructions, leading to 45% longer resolution times for complex software troubleshooting scenarios.

Can Fullview integrate with my existing help-desk tools?

Yes, Fullview offers native integrations with major ticketing platforms including Zendesk, ServiceNow, Intercom, and Salesforce Service Cloud. Our open API architecture enables seamless data flow and context sharing with virtually any existing support infrastructure.

What security certifications does Fullview hold?

Fullview maintains GDPR compliance and holds SOC 2 Type II. Our built-in data redaction automatically protects personally identifiable information, ensuring audit-ready logs while maintaining privacy protection across all interactions.

How long does it take to deploy Fullview?

Most customers achieve functional deployment within two weeks, with full rollout and custom agent training completed in under six weeks. Our implementation team provides dedicated support throughout the deployment process.

Is there a free trial or proof-of-concept option?

You can request a free trial or tailored proof-of-concept by contacting our sales team. We provide customized demonstrations using your actual software environment to showcase Fullview's visual guidance capabilities.

What measurable impact can I expect on resolution time?

Clients typically experience a 30-35% reduction in average resolution time and a 20-point increase in CSAT scores within the first three months of Fullview adoption. These improvements result from autonomous problem-solving and visual guidance capabilities that eliminate common troubleshooting delays.

Ready to Transform Your Customer Support with Visual AI?

Fullview represents the next generation of AI customer support - moving beyond passive chatbots to deliver autonomous visual assistance that solves problems directly within your software interfaces.

Take the next step: Schedule a personalized demonstration to see how Fullview's AI agents can transform your customer support experience and deliver measurable ROI improvements.

Drop us a line to start your Fullview transformation today.

Sources: This analysis draws from vendor documentation, industry analyst reports, customer case studies including Cherry Technologies, and independent user testimonials. Metrics represent verified customer outcomes across Fullview's client base spanning SaaS, financial services, and enterprise software companies.

FAQs

No items found.

Join our community

The latest and greatest from the world of CX and support. No nonsense. No spam. Just great content.

Let AI visually guide users to resolve issues and onboard instantly
Guide users with
on-screen flows
Automate support & onboarding
Smart-escalate
when needed
See how it worksSee how it works
Table of contents:

Related articles

No items found.

Go beyond chatbots and automate support with higher CSAT.

Understand, Guide and Resolve customer support requests faster than ever with Fullview AI

Understand, Guide and Resolve customer support requests faster than ever with Fullview.

Book a demo