ASAPP is an AI-native agentic enterprise platform that automates customer interactions, enhances agent performance, and powers AI agents for enterprise customer experience.

What is agentic enterprise AI?

Agentic enterprise AI refers to AI systems that can autonomously perform tasks, take actions on behalf of an enterprise, and assist human agents in complex workflows, particularly in customer service and contact center operations.

Who are ASAPP's main competitors?

ASAPP competes with other enterprise AI platforms including Sierra.ai, Cognigy, Kore.ai, PolyAI, Decagon, Crescendo, Google CCAI, and Microsoft AI. These competitors also offer conversational AI, agent assist, and customer experience automation solutions.

How does ASAPP differ from its competitors?

ASAPP differentiates itself through its AI-native architecture, agentic capabilities that allow AI to perform tasks autonomously, and deep enterprise integration. It focuses on delivering branded AI agents that enhance human agent productivity while automating customer interactions at scale.

Which enterprises benefit most from ASAPP?

Enterprises with large contact centers, customer experience teams, or complex workflow automation needs benefit most from ASAPP. It is particularly effective for companies looking to combine agent-assist AI with autonomous AI agents for scalable customer engagement.

What channels does ASAPP support?

ASAPP supports multiple channels including voice, chat, SMS, and other digital customer interaction channels, enabling omnichannel automation for enterprise contact centers.

Human-in-the-Loop Agent (HILA™)

Why escalate when you can resolve?

Other AI agents transfer to a human when they get stuck. Give your customers a better experience—bring human judgment into AI-driven conversations without the handoff.

Talk to GenerativeAgent

ASAPP CXP Overview

Reduce cost-to-serve with human-AI collaboration

Increase containment & FCR

Human help behind the scenes keeps conversations moving toward resolutions, not escalations.

Improve CSAT

Don’t make your customers start over. You need AI that knows when and how to ask for help, then keeps resolving on its own.

Safely automate more

Real-time collaboration provides the AI with more input to learn and improve from your best human agents.

Every HILA decision becomes Interaction Intelligence — improving future responses and personalization.

An AI agent that knows when and how to ask a human for help

Improve service by combining the speed of AI with the effectiveness of human judgment.

Intuitive experiences

Human agents can assist AI without taking over the conversation with our Human-in-the-loop Agent (HILA™) workflow.

Humans get requests for help with full conversation context, and can give guidance behind the scenes, so customers don’t have to deal with hand-offs.

User interface of a human-in-the-loop agent chat with Jennifer Lee, showing a message from GenerativeAgent about rebooking passengers except Paula Rivers, with options to respond or request info, and a Send & Close button clicked.

Voice concurrency

Reserve human judgment for where it's needed most and multiply your team's capacity.

Scale your best human agents beyond 1:1 concurrency as they support multiple voice conversations at the same time.

Flexible control

Decide how much control you need, for oversight without disruption. Set up HILA to:

Ask a human agent for help, approval, or task completion.

Hand off the customer to a live agent.

Use Approver mode to start—where a HILA reviews each response before it goes to the customer. GenerativeAgent quickly learns from your best agents, so you can confidently move to less oversight.

Self-improving AI

Human-in-the-Loop Agent Approvers can provide rationales for their decisions and actions, so GenerativeAgent continuously learns from every consultation.

Your best agents train your AI automatically, improving performance over time.