Assisto provides an AI‑driven automation layer that integrates with major CRMs via standard APIs to classify incoming tickets, generate instant answers for routine queries, and route complex cases to agents with contextual information. Its transformer‑based NLP models continuously improve from anonymized support logs and support multilingual handling across 20+ languages. The platform offers real‑time metrics, enterprise‑grade security, and plug‑and‑play deployment for mid‑size to large support operations.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises handling large volumes of repetitive customer inquiries face escalating support costs and delayed response times, while integrating new automation tools with existing CRM systems often requires extensive custom development.
Solution
Assisto delivers an AI-powered automation layer that connects directly to a company’s CRM via standard APIs and webhooks. Its natural language processing engine classifies incoming tickets, generates instant answers for routine questions, and escalates ambiguous or high‑complexity issues to human agents with contextual routing. The platform continuously refines its language models using anonymized interaction data, improving resolution accuracy over time. By offloading routine work, support teams can focus on higher‑value tasks, reducing operational overhead and maintaining fast, consistent response times. All interactions are logged in the CRM, preserving a unified view of customer history and enabling seamless reporting.
Target Audience
The primary customers are customer support operations in mid‑size to large enterprises that rely on CRM platforms for ticket management and seek to automate high‑volume, low‑complexity inquiries.
Features
- Real‑time intent detection and auto‑response generation using transformer‑based NLP models
- Plug‑and‑play integration with major CRMs (Salesforce, Zendesk, HubSpot, etc.) via RESTful APIs and webhook callbacks
- Confidence‑scored ticket routing engine that assigns complex cases to appropriate human agents with full context
- Continuous model training pipeline that ingests anonymized support logs to improve accuracy without manual labeling
- Multilingual support covering 20+ languages with automatic language detection
- Dashboard providing live metrics on automation rate, average handling time, and satisfaction scores
- Enterprise‑grade security compliance (GDPR, SOC 2) with end‑to‑end encryption of all data in transit and at rest