Most "AI support tools" are glorified decision trees. Level3 AI connects to your systems, reads context, takes actions, and knows when to stop and escalate — all within a single conversation turn.
Level3 AI processes each conversation through a five-stage reasoning loop — not a keyword match.
Identifies what the customer wants — including mixed intents in a single message. Handles code-switching (e.g. Singlish, Taglish) without a separate translation pipeline.
Pulls relevant order data, account history, and prior conversation threads via your REST APIs. Response is grounded in real data — not a generic knowledge base.
Validates the planned action against your business rules (e.g. "only issue refunds under $100 without manager approval"). Hard guardrails defined by your team, not ours.
Calls the appropriate API endpoint — update order, send replacement, schedule callback, adjust subscription — and confirms completion to the customer in natural language.
Detects frustration signals, policy edge cases, and legally sensitive queries. Routes to a human agent with a full context summary — no repeat questioning from the customer.
Mandarin (Simplified & Traditional), Bahasa Indonesia, Bahasa Malaysia, Thai, Vietnamese, Tagalog, Korean, Japanese, Hindi, Tamil, and English.
Language detection is automatic and sub-100ms. No manual routing rules. Customers start typing in any language and the agent responds in kind without a redirect.
Code-switched inputs (e.g. a message mixing English and Thai) are handled natively — the model was fine-tuned on 8M APAC customer service conversations.
Pre-built connectors for Zendesk, Freshdesk, Salesforce Service Cloud, HubSpot, Intercom, and Zoho Desk. REST webhooks for custom backends. OAuth 2.0 authentication.
Data flows both ways: the agent reads ticket history and writes resolution notes back to your CRM automatically. Every closed conversation creates a structured record with tags, category, and sentiment score.
Define what your agent can do using a YAML-based action schema. Common actions include: check order status, update shipping address, issue store credit, cancel subscription, send verification SMS, or book a callback slot via Calendly.
Each action has a permission tier (auto-execute, confirm-first, or escalate). Limits are set per action — e.g. "auto-approve refunds up to SGD 75." No code changes required to update limits.
Real-time view of conversation volume, resolution rate, CSAT score (collected post-chat), escalation rate, and top unresolved topics. Data updates every 60 seconds.
Topic clustering automatically groups conversations into themes (e.g. "delivery delay", "wrong item sent") so your product and ops team can spot systemic issues — not just individual tickets.
All data is encrypted at rest (AES-256) and in transit (TLS 1.3). Hosted on AWS ap-southeast-1 (Singapore). Can be deployed into your own AWS VPC for Enterprise plans.
Compliant with Singapore PDPA, Indonesia UU PDP, and GDPR. Customer conversations are never used to train shared models. Audit logs retained for 12 months with immutable write protection.
Non-technical team members can review flagged conversations, correct agent responses, and push updates without filing a dev ticket. Changes propagate to production within 15 minutes after a human review step.
The training interface shows side-by-side comparison: original agent response vs. your correction. After 20 corrections in a category, the model re-weights automatically.
Numbers your engineering team will want to see before the procurement call.
Zendesk, Freshdesk, Zoho Desk, Intercom, Help Scout
Salesforce, HubSpot, Pipedrive, Microsoft Dynamics 365
WhatsApp Business API, Line, Telegram, WeChat, SMS
REST API, Webhooks, JavaScript SDK, iOS/Android SDK
We'll connect Level3 AI to a sample dataset from your industry and run a live demo in 30 minutes.
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