Table of Contents
Everyone is talking about AI agents right now. And the technology is real. That's not the problem. The problem is everything around it.
Building an agent takes weeks, and the right people who know the tools. Running it in production — safely, consistently, across a 20-step multi-turn interaction — is a different challenge entirely. Knowing whether it's actually working takes another team and full visibility into every agent's action and decision. And trusting it enough to put it in front of your customers, every day, takes something most platforms simply cannot provide.
The question enterprises are asking right now isn't "Is the AI capable enough?" It's: "Can we operate this at scale, in production, without it becoming a liability?"
Last November, we launched CXP — our Customer Experience Platform — to answer that question. Today, we're launching its next evolution.
What we've built isn’t another feature. It’s a complete agentic platform with five new agents serving every layer of a CX stack.
These aren't benchmarks or projections. They're outcomes from Fortune 100 enterprises running CXP in production, every day.
"An AI agent proves its value not in a single brilliant response, but in its consistency across interactions—remaining accurate, safe, responsive, and protective of privacy at every turn."
— Priya Vijayarajendran, CEO, ASAPP
Start with the right question: Discovery Agent
Everything starts with the same question: where should automation happen first?
Most organizations guess. Or they rely on static reports that are outdated before a decision gets made. That's how enterprises end up automating the wrong interactions first — investing resources in low-value workflows while high-volume, high-impact use cases sit untouched.
Discovery Agent changes that. It analyzes real interaction data and shows you the best opportunities for automation — before you commit resources. It maps customer intents, identifies which interactions involve APIs and your knowledge base, and helps you prioritize where automation will actually move the needle. Once a deployment is live, it keeps working — continuously surfacing opportunities for higher automation, containment, and ROI.
That's how you focus your investment where it drives outcomes. Before you write a single workflow.
Build it fast, build it right: Developer Agent
Once you know what to automate, the next challenge is building it. Fast.
Enterprise workflows have always been slow to build and risky to change. Configuration that once took weeks needs to happen in hours — without introducing risk into an operation that can't afford mistakes at scale.
Developer Agent changes that. You describe what you want in plain language. Developer Agent shows you its plan before it makes a single change. You approve, adjust, or reject. Every change is visible. Every release is safer.
Because in an enterprise environment, speed without control creates risk. And control without speed creates bottlenecks. Developer Agent gives you both.
That's how you move faster without introducing hidden risk into your operation.
Prove it before it reaches a customer: Simulation Agent
Building fast isn't enough. Before automation reaches customers, it has to be proven.
Most platforms ask you to deploy and hope. Simulation Agent takes a fundamentally different approach. It pressure-tests workflows using real-world scenarios, simulating customers with goals, knowledge, and even personality (frustrated, patient, uncertain) before anything goes live.
It surfaces failure points before they reach production. That means fewer incidents, faster approvals, and the confidence to automate high-stakes workflows, not just the easy ones.
That's how you validate performance before it impacts a single customer.
Run it reliably, every time: Optimization Agent
Once the system is running, reliability becomes the operating requirement.
In an enterprise environment, reliability isn't a feature. It's an expectation.
Most architectures ask the language model to handle both conversation and execution. Our Optimization Agent takes a different approach: while the language model handles the conversation, CXP controls the execution. It enforces validation rules. Controls the sequence of every step. Makes sure required actions can't be skipped by anyone. And the agent self-optimizes as it learns.
Workflows execute correctly every time. Compliance teams can sign off. Operations teams can trust the system.
Because reliability isn't about sounding intelligent. It's about executing correctly.
Turn every interaction into intelligence: Insights Agent
Once the system is running reliably, the next question is: what is it telling you?
What are customers asking about right now? Where are interactions breaking down? What does it cost you to delay action?
Insights Agent turns every conversation into structured operational intelligence your teams can act on immediately. It mines CXP's context graph — unifying interactions, context, decisions, and knowledge — to surface gaps, uncover customer needs, and enable proactive optimization.
This isn't faster reporting. It's operational control. When you sit at the first point of every customer interaction, you don't just see the outcome — you see everything that shaped it. You see the system.
That's how the contact center becomes a proactive engine for optimization and growth — not just a cost to be managed.
What ties it all together: Orchestration
Orchestration isn't a separate agent. It's what CXP is. CXP orchestrates the full end-to-end resolution — FAQs, deterministic flows, generative flows, Human-in-the-Loop Agent, routing, and agent-to-agent. Not as a menu of options. As a governed, coordinated system.
GenerativeAgent is the AI agent that decides and executes, for every message or utterance, the best path to resolution — query the knowledge base, call an API, offer a retention option, bring in a human — and executes it.
Not a collection of features. Not a single agent doing everything with context bloat. A coordinated architecture where every layer works together — in production, at scale, every day.
What this looks like in production
These aren't case studies in progress. They're enterprises running CXP at scale, right now
Why this matters now
Customers are still calling. Service isn't going away. What changes is how the work gets done.
The enterprises that win in the agentic era won't be the ones who deployed the most impressive demo. They'll be the ones who built a system they could actually operate — reliably, at scale, with governance built in from the start.
That's what we've built. And we're already running it in production with real Fortune 100 enterprises, every day. Because we understand what's actually at stake. Your time. Your AI outcomes. Your customers' loyalty. Your ROI. And a system that isn't built to protect all of that isn't a system you can trust.
If you're building for the agentic era — see what that looks like →
About ASAPP
ASAPP is the agentic Customer Experience Platform (CXP) purpose-built for enterprise customer service. CXP orchestrates AI agents, human expertise, and enterprise systems to resolve customer issues faster and more accurately across voice and digital channels.
