Product / Build
Emily attends to inbound calls within seconds, handles concurrent calls, and converse in natural languages.
Emily resolves complex tickets across WhatsApp, web chat, and messaging apps. Multimodal, autonomous, 24/7.
Emily triages, drafts, and resolves email tickets end-to-end. Better quality. Fraction of the cost.
Journey & issue
Most teams build agents bottom-up: a growing list of intents that overlap, conflict, and confuse the model. We take a different approach. Emily’s journey issues are mapped MECE across your user journey — so every conversation routes to the right issue, faster and with less ambiguity.
Playbooks
A domain-specific language that lets Emily enforce critical SOP steps deterministically — while still holding a natural, human-like conversation. You get the reliability of a workflow engine and the flexibility of an LLM, without choosing between them.
Variables
Variables are Emily’s working memory — the business signals she tracks and reasons over in every conversation. Translate raw backend data into meaningful variables, design and test them offline with AI, then execute as code at runtime.
Actions
The best human agents don’t just answer questions — they clarify intent, remind customers of next steps, collect missing details, verify identity, and exercise judgment. Emily does the same, and executes account-related operations with the precision of a system call.
Knowledge base
Not a generic RAG layer. Individual knowledge bases are citable directly from Playbooks, and Emily engages with each type differently — answering FAQs concisely, walking through product manuals step by step, and guiding troubleshooting flows interactively. Emily’s source of truth, structured the way your team already thinks.
Book a demo
