December 5, 2025

Robylon: The Enterprise Platform for AI-First Customer Support

Dinesh Goel, Founder and CEO of Robylon AI

Dinesh Goel

LinkedIn Logo
Chief Executive Officer
Robylon: The Enterprise Platform for AI-First Customer Support

Table of content

Enterprises choose Robylon to deliver fast, accurate, and fully automated support across chat, email, ticketing, voice, and WhatsApp. The platform combines strong AI reasoning with deep integrations and real operational reliability, giving customers instant answers while reducing support load across every channel.

High quality AI answers that stay accurate at scale

Robylon’s AI agents deliver precise, context aware responses across even the most complex industries. Multi turn reasoning keeps conversations on track, while clarifying questions ensure accuracy when customer intent is unclear. Hallucination controls and domain trained workflows maintain consistent answers across large ticket volumes.
Real customer deployments show this performance in action, such as resolving over 80 percent of trading platform tickets with near perfect accuracy after human in loop calibration .

Built on flexible LLM architecture

Enterprises can use a mix of models suited to their needs. Robylon supports multiple LLMs, fine tuned behavior, and model routing that adapts to the complexity of each query. Voice and chat automations share context across channels, allowing customers to move from phone to WhatsApp or chat without repeating information. Robylon’s NLU supports more than 40 languages for global reach, with real time speech interruption, emotion detection, and low latency responses for voice support .

Strong retrieval and always current knowledge

Robylon syncs with enterprise knowledge sources so answers remain updated. AI agents merge knowledge with structured SOPs created from historical tickets, turning thousands of past interactions into clear workflows. For example, Robylon generated consolidated SOPs by analyzing more than 500 thousand support tickets and reduced over 600 use cases into 15 unified workflows for a major trading platform .

Learns continuously with real world feedback

Performance improves with usage. Automated evaluation pipelines score sentiment, handling quality, and issue patterns across every channel. Weekly system level insights highlight product issues, operational bottlenecks, or missing SOP entries so teams can take corrective action quickly .

Integrates with enterprise systems and channels

Robylon connects to the tools enterprises rely on.
Supported platforms include Salesforce, Zendesk, Freshdesk, Jira, Dynamics, Shopify, Slack, WhatsApp, Instagram, Aircall, Twilio, and many others .
Agents operate across web chat, in app chat, email, SMS, WhatsApp, Instagram, and full voice telephony, keeping support consistent across touchpoints.

Automates end to end actions, not just replies

AI agents do more than answer questions. They perform actions through APIs and enterprise systems so customers receive real outcomes in fewer steps.
Examples include verifying identity, updating orders, processing refunds, escalating logistics delays, connecting hot leads to sales, or walking users through complex troubleshooting. In one large auto retailer, voice agents collected customer intent, answered financing questions, captured structured data, and instantly connected high intent leads to sales teams, scaling operations from 18 thousand to 30 thousand automated calls per month and reducing qualification cost by 35 percent .

Hybrid support when humans need to step in

When the AI has low confidence, Robylon passes the conversation to a human agent with full context. Enterprises can also choose to involve human auditors continuously. This hybrid model helped one platform improve accuracy from 93 percent to almost 100 percent while keeping automation high .

Enterprise grade performance and reliability

Robylon is built for high volume environments with strict latency requirements.
Voice interactions respond in under one second for most languages, and chat agents handle millions of queries with consistent throughput. Dashboards surface real time metrics, model drift signals, containment rate, CSAT, and issue trends so leaders can maintain predictable service quality.

Security, compliance, and governance

Robylon provides encryption, access controls, audit logs, safety layers, and responsible AI guardrails to keep enterprise data protected. Sensitive information is identified and managed with automated redaction and policy adherence.

Full control over behavior and workflows

Teams can customize prompts, guardrails, workflows, escalation logic, language style, and channel behavior. Visual configuration tools and versioning allow safe experimentation without downtime. The same business logic can power chat, email, and voice with channel specific tuning.

Clear business impact you can measure

Enterprises use Robylon to reduce support costs, improve response times, and increase customer satisfaction.
Real world results include
• Over 80 percent automated ticket resolution for a large online trading platform
• 93 percent faster resolution times for ecommerce and SaaS customers
• Up to 30 percent savings on support costs across industries

Robylon delivers AI support that works reliably from day one and scales with your growth. It brings accuracy, speed, and enterprise readiness to every customer conversation while lowering operational load across teams.

👉 Learn more at Robylon.ai

FAQs

Does Robylon integrate with existing enterprise tools like CRM, ticketing, or telephony?

Yes. Robylon connects to more than 40 enterprise systems, including Salesforce, Zendesk, Freshdesk, Dynamics, HubSpot, Intercom, Shopify, BigCommerce, Aircall, WhatsApp, Instagram, Slack, and many more. These integrations allow AI agents to fetch data, take actions, update tickets, and maintain unified context across chat, email, and voice channels, ensuring consistent end to end automation in enterprise environments.

How accurate are Robylon’s AI agents for enterprise customer support?

Robylon’s AI agents deliver highly reliable answers across complex workflows with strong multi turn reasoning, clarifying questions, and strict hallucination controls. Real world deployments show accuracy rates above 95 percent for knowledge based queries and over 80 percent full resolution for ticket workflows, including high volume environments such as gaming, ecommerce, logistics, and fintech (examples include automated resolution of 95 percent of knowledge base queries for a gaming company and 80 percent ticket automation for a trading platform).

Dinesh Goel, Founder and CEO of Robylon AI

Dinesh Goel

LinkedIn Logo
Chief Executive Officer