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ES AI Agents that do more than talk:
they perform real work
Build an AI Agent that understands intent, retrieves answers from your knowledge base (RAG), triggers actions across systems (CRM / orders / tickets), and escalates to a human when needed, with full control, measurement, and security.
handling time
conversions and leads
across every channel
Connects to your stack: channels, knowledge systems, and tools
More answers, fewer headaches
A great AI Agent is not just another chat widget. It is a complete operating layer: up-to-date knowledge, secure tools, performance measurement, and smooth escalation to a human. Our platform is built for exactly that.
Reliable, grounded knowledge (RAG)
Smart search across procedures, PDFs, knowledge bases, and FAQ content, including internal source references to reduce hallucinations and incorrect answers.
Secure Tool Calling
Only pre-approved actions: opening a ticket, updating CRM fields, creating a document, or checking order status, all governed by permissions.
Control, logging, and security
Complete Audit logs, role-based permissions, information policy enforcement, and immediate Human Handoff whenever uncertainty or risk appears.
Omni-Channel Inbox:
every conversation in one place
An AI Agent works best when it can see the full picture. Our system unifies requests from your website, WhatsApp, email, and social channels into one workspace, including history, files, and contextual records.
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Smart channel unification
Prevents duplicate requests and automatically connects the customer's context.
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SLA-based prioritization
Identifies VIP customers, urgency, and request topics to route and prioritize work effectively.
Knowledge & RAG:
answers grounded in real knowledge
Instead of letting AI guess or hallucinate, our agent retrieves information only from the sources you define: internal procedures, product catalogs, return policies, and knowledge bases.
Controlled sources
You decide what enters the agent's knowledge and when that information is updated.
Verification before answering
When the system is not fully confident, it asks a follow-up question or escalates to a representative.
Actions & Tools:
the agent takes action on its own
A high-quality AI Agent does not stop at answering questions. It works for you: opens new tickets, changes statuses, creates quotes, and updates records in your information systems according to the permissions you define.
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Connects to existing tools
Integrates with CRM, ticketing software, payment systems, and Webhooks.
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Confirmation before execution
For sensitive actions, such as canceling a charge, the agent waits for final approval from a representative.
const agent = new AgentLabs({
tools: [
getOrderStatusTool,
updateShippingAddressTool,
escalateToHumanTool
],
knowledgeBase: 'internal-docs'
});
// Executing customer request...
await agent.execute(request);
Human-in-the-Loop:
the winning combination of human and machine
A critical rule of thumb: every agent needs levels of autonomy. When the system detects an angry customer, a sensitive topic, or low answer confidence, it performs a smooth, documented Human Handoff to a human representative.
Automatic Human Handoff
Automatic transfer based on sentiment analysis, keywords, SLA, or request scoring.
Representative summary (Copilot)
The representative receives a concise summary of the issue and what the agent already tried, saving valuable time.
Analytics & Evals:
measurement and continuous improvement
You do not leave performance to chance. The platform measures what matters: first-contact resolution (FCR), agent answer quality, handling times, conversions, and drop-off points.
Governance:
enterprise-grade security and permissions
To run an AI Agent in a Production environment, you need full control: which team members can add knowledge, what information is stored, what counts as sensitive data (PII), and how exceptions are detected.
Role-based permissions
Advanced RBAC for managing teams and business units across the organization.
Audit & Trace
Fully transparent logs so you always know who did what, when, and why.
More capabilities for Enterprise organizations
Everything you need to deploy, monitor, and scale your agents without taking unnecessary risks.
Monitoring and Observability
Track latency, errors, anomalies, and deep conversation analytics to identify infrastructure issues before they affect customers.
Simulations and testing
Run automated test scenarios on knowledge updates before deployment to ensure reliability and policy compliance.
Fluent multilingual support
Support customers naturally across dozens of languages while preserving a consistent brand tone in every market and channel.
Central integration hub
Quickly connect to existing enterprise tools with API, Webhooks, and ready-made templates for standard and reusable actions.
Product FAQ
Old-generation chatbots rely on rigid decision trees (if-then logic) and mainly answer from predefined text. An AgentLabs AI Agent retrieves live knowledge from sources (RAG), understands complex customer intent in natural language, uses tools, executes processes such as filling fields in a CRM, and actively escalates to a representative with the full context.
We take a strict approach: we work with a RAG (Retrieval-Augmented Generation) architecture that prevents the model from relying on its general knowledge and requires it to base answers only on the source documents you define. We also configure Guardrails and instruct the system to escalate to a representative whenever confidence in the answer is not high enough.
Absolutely. AgentLabs supports built-in connections to leading tools including Salesforce, Zendesk, HubSpot, Shopify, and more. For custom systems, you can use API and Webhooks. Every action the agent is allowed to perform is predefined in the Tool Calling Governance layer.
The platform meets the highest standards for privacy and security. Your business data is not used to train public models. The system provides complete Audit logs, PII filtering, and RBAC permission management that defines who in the organization can view data or update the agent's knowledge base.
About AgentLabs
We build advanced agentic systems that connect AI to real work: relevant knowledge, operational tools, defined processes, and rigorous measurement. Our system is designed to make your service, sales, and operations teams measurable, efficient, and fully secure without giving up control.
- Secure RAG over internal knowledge
- Controlled Tool Calling for systems
- Governance, controls, and logs
Want to start the right way?
Before you commit, we will be happy to send you a checklist for implementing enterprise AI: knowledge, actions, escalation, monitoring, and metrics.
Get the Checklist Or book a live product demo with us