Intent Library – Understand what users mean, not just what they say

Power natural conversations by accurately detecting user goals, across support, sales, and service journeys.

SigmaMind AI’s Intent Engine helps your agents distinguish between order status requests, refund queries, appointment bookings, or lead qualification — even when phrased differently by different users.

Talk to us

Before your agent speaks to a single customer, see exactly how it will behave.‍SigmaMind AI's Playground gives you a real-time testing space to simulate interactions, identify gaps, and refine responses - across every channel you support.

Trusted by

What makes the SigmaMind AI Intent Library different

Abstract circle made of small black dots forming a spiral pattern on a white background.

Smart Intent Mapping

Auto-classify user messages into defined intents using few-shot learning + context.

Context-Aware Detection

Understands prior messages, channel type, and user journey to reduce misfires.

Four upward bars with an arrow labeled PROGRESS escalating from weak to strong.

Multi-intent Handling

Supports layered queries (e.g., “Where’s my order and how do I return it?”) with clean handoffs.

Natural Language First

No rigid keywords — works with varied phrasing, slang, typos, and regional nuances.

Black award ribbon icon with a round rosette and a ribbon tail below.

Easy to Train & Evolve

Add training examples, fine-tune thresholds, and test everything in Playground before launch.

Built-in Accuracy Insights

Track detection accuracy, missed intents, and false positives — and optimize fast.

What SigmaMind’s Intent Library powers

Black directional arrow splitting into two paths to the left and right.

Smarter Routing

Detect whether the user wants support, sales help, feedback, or escalation.

Speech bubble icon containing a centered five-point star symbol.

Personalized Responses

Trigger responses tailored to the query’s true intent, not just keywords.

Black triangular warning sign with an exclamation mark inside.

Reduced Errors

Avoid incorrect replies or handoffs due to misunderstood requests.

Frequently Asked Questions (FAQs)

What is an “intent” in SigmaMind AI?

An intent is the underlying goal behind a user’s message — e.g., requesting a refund, booking a call, or asking a policy question.

How accurate is the intent detection?

We use advanced few-shot learning and real-time context analysis to optimize accuracy even with few examples.

Can one message match multiple intents?

Yes — our engine can detect and prioritize layered intents in multi-part queries.

Do I need a developer to set this up?

Not at all. Define intents, link flows, and test — all via drag-and-drop. Developers can customize deeper if needed.

How does this compare to keyword-based bots?

Keyword bots break with phrasing changes. Our intent engine understands meaning, not just words — and adapts over time.