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Five CX Agents. 

One Coordinated System.

ASAPP introduces five new agents serving every layer of a CX stack. Orchestration coordinates them with AI workflows and human judgement into a complete agentic platform.

Developer
Agent
Simulation
Agent
Optimization

Agent
Discovery
Agent
Insights
Agent

What makes ASAPP agents different

More than a conversational agent. It's a shift in how enterprise customer service is run.

01

Enterprise-scale system 
of agents — not a single agent for everything.

02

Real-time orchestration across AI, workflows, and human judgment.

03

Governance and accountability built in, 
not bolted on.

04

Continuous optimization doesn't stop at deployment — it's always on.

Customer service doesn't go away. What changes is who — or what — handles it, and how well.

How it works

One layer connects them all

ASAPP's orchestration layer sits above your IVR and routing — coordinating AI, rule-based workflows, and human agents as a single, real-time system.

Most platforms hand off. 

ASAPP orchestrates.

The orchestration layer is what makes the five agents a system instead of a stack. It captures full context — what happened, what was decided, what actions were taken — and uses that intelligence to route, escalate, and act in the moment. No silos. No dropped context. No manual stitching.

The result

Every agent knows what the others know. Every decision is informed by the full picture. Every customer interaction connects to a continuous loop of improvement.

CXP graph of orchestration between 5 agents.

Coordinates in real time

AI, deterministic workflows, and live agents operate as one — governed by the same system, visible in the same dashboard.

Retains full context

Capture what happened, what was decided, and why — so nothing gets lost between handoffs, channels, or sessions.

Governance built in

Every action is logged, auditable, and accountable. Compliance isn't an afterthought — it's structural.

Discovery Agent

Find what to automate before you build

The Discovery Agent feeds the orchestration layer — identifying which customer journeys are highest impact so the system knows where to act first.

Faster launch decisions

Higher-value automation

Reduced implementation risk

Woman with curly hair wearing a plaid shirt working on a keyboard, with a Discovery Agent interface showing optimization insights for billing dispute, address change, and password reset.
Man wearing glasses and white headphones typing on a laptop at a desk with a chalkboard covered in handwritten notes in the background, and an overlay window showing a Developer Agent interface analyzing task configuration.
Developer Agent

Build production-ready workflows faster

Workflows built by the Developer Agent are immediately deployable through the orchestration layer — no manual integration required.

Configuration in hours, not weeks

Fewer pre-launch errors

Faster time to deployment

Simulation Agent

Prove performance before customers see it

The Simulation Agent tests how workflows will behave inside the orchestration layer — under real load, real variability, real edge cases.

Safer launches

Predictable performance

Reduced operational risk

Chat conversation between a customer and GenerativeAgent® explaining a roaming fee increase on a bill, alongside a results panel showing 100% applicability rate and 50% pass rate for evaluation criteria.
Man wearing glasses focused on a screen with overlaid chatbot flow diagram showing start, generic FAQ, and collect customer details nodes.
Optimization Agent

Keep performance improving automatically

The Optimization Agent monitors live performance through the orchestration layer and continuously tunes workflows without manual intervention.

Higher resolution rates

Reduced manual tuning

Continuous improvement

Insights Agent

Make performance visible across every interaction

The Optimization Agent monitors live performance through the orchestration layer and continuously tunes workflows without manual intervention.

Clear operational visibility

Faster problem identification

Data-driven decisions

Bar chart showing features customers expect for self-service but are unavailable, with 'authenticate_customer' as the most frequently attempted function.