Standards evolved. Agents involved.
Seamlessly build, manage, and scale AI agents with Agent Operating Procedures.
It’s time to reimagine customer experience.
Long wait times, incompetent chatbots, and rigid automation make customer service feel frustratingly inefficient. It’s not that you don’t care about your customers— you just haven’t had a way to move beyond clunky, outdated automation.
Slow and costly builds
Professional services artificially cram unique business nuances and complexities into brittle decision trees and imperfect systems.
Black boxes
A lack of visibility into the multiple layers of logic that determine how AI agents operate makes it extremely challenging to iterate on workflow logic.
Poor quality results
With rigid frameworks that break under unforeseen circumstances and barriers to iteration, even the most sophisticated AI agents, chatbots, and phone trees produce low-quality output.
There’s a better way to deliver customer service in the agentic era.
Agent Operating Procedures (AOPs) combine the power and the flexibility of natural language instructions with the precision and rigor of code, empowering non-technical teams to quickly architect and iterate on AI logic, while technical teams retain control over the core code.
Similar to how human agents learn Standard Operating Procedures (SOPs), AOPs enable AI agents to dynamically handle very complex situations and execute multi-step workflows, delivering secure, reliable, AI-native customer experience at scale.
The old way
The Decagon way
Faster time to value
Eliminate long development cycles and costly professional services. Quickly build and iterate on AI agents to deliver measurable ROI in weeks, not months.
Transform your CX experts who know your business best into CX architects with an advanced, iterative prompting platform.
AOPs integrate with your existing support tools and can reference existing data, take actions, or trigger other workflows. Engineers retain control over the core code.
Unparalleled transparency
Use natural language to define and easily understand the dynamic custom business logic that your AI agents follow.
Get full visibility into why an AI agent made a particular decision at any point in a conversation.
A robust suite of testing, versioning, insights, and alerting tooling enables continuous iteration on AI agent behavior.
Trusted results at scale
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Built-in guardrails ensure critical operations— like identity verification and refunds— are executed securely with strict controls and validation.
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AOPs merge the flexibility of natural language with the precision of code-based logic to adapt to unpredictable customer interactions.
With rapid iteration and resilient workflows that extend beyond rigid, pre-programmed paths, businesses can deploy hundreds of AOPs at scale.
Industry leaders choose Decagon to redefine customer experience with AI agents.
The future of customer experience starts here.
