klax IQ is klaxify's local-first ecommerce intelligence system. It recognizes routine intent, follows context across a conversation, evaluates approved patterns, and can answer from an active playbook without sending the same request to an outside AI model.
The three IQ layers
- Core IQ contains versioned skills for common ecommerce support outcomes, such as order status, delivery delays, shipping questions, returns, product questions, and address-change intake. Core IQ contains no merchant or customer data.
- Workspace IQ uses only your organization's policies, products, voice, verified customer context, accepted replies, and active playbooks. This information is isolated from every other tenant.
- Fast Lanes let routine requests skip an outside model only when confidence, approved knowledge, required facts, privacy, and risk checks all pass. Requests that change commerce state remain governed.
Managers can open klax IQ to enable or pause each layer, set the Fast Lane confidence threshold, and choose which safe skills may use a Fast Lane.
Contextual conversations
Workspace IQ tracks the current conversational phase, including new requests, follow-ups, customer corrections, acknowledgements, and topic changes. It gives the responding AI employee explicit guidance to continue naturally, avoid repeating settled information, and replace a mistaken assumption when the customer corrects it.
References such as “that one” or “is it still active?” are treated as conversational clues, not verified facts. klaxify still uses current tenant data and connected commerce records before making a claim or taking an action.
This example is a product explainer, not a live score. In your workspace, the response skill shows its own approved evidence, readiness, source status, and review requirement.
Training signals
When a teammate approves an AI-assisted reply, klaxify records whether the pattern was accepted and updates the tenant’s learning evidence. Safe response patterns can become proposals or active playbooks according to the workspace training setting.
The learning is isolated to your organization. Another tenant’s replies, products, policies, and outcomes are never used as your workspace facts.
Self-improvement is bounded: approval strengthens a specific answer skill, while an edited reply records the correction and response alignment. Sensitive requests, unsupported claims, and completed-action statements do not become trusted merely because they appeared in a reply.
Multi-question replies
When a customer asks several questions in one message, klaxify learns one answer skill for each request instead of saving the entire reply under a single topic. Greetings, sign-offs, and brand voice remain separate from the reusable answers.
For example, one approved email can strengthen three independent skills:
- Shipping countries
- Refund and return policy
- Product-specific ingredients
Open the proposed skills to review the answer, original customer question, supporting sources, confidence, and number of approved examples. A superseded combined proposal is not used for future replies.
Automatic reply safeguards
A multi-question reply can only be sent automatically when every detected request has current supporting context, a matching response skill, and a complete answer. If one answer is missing, klaxify blocks automatic sending and keeps the response in human review.
Answer splitting, feedback measurement, playbook learning, caching, and coverage checks run inside klaxify. An outside AI model is used only when the message is ambiguous or the final response needs language generation that cannot be safely assembled from approved skills.
What never becomes trusted automatically
An approved sentence is not proof that a refund, cancellation, replacement, or other transaction happened. Commerce actions still require live validation, the current action policy, and execution through the connected provider. Sensitive or low-confidence requests route to an outside model or human review instead of guessing.
Open klax IQ to inspect local decisions, external fallbacks, accepted outcomes, and playbook proposals.
Ask klax IQ
Tenant managers can open Ask klax IQ from the app header. The floating conversation bar answers operational questions from the active workspace, such as:
- What needs attention right now?
- Which actions are waiting for approval?
- Find order #1045.
- Show replies that need quality review.
- Which VIP customers are waiting?
The bar starts with deterministic, tenant-scoped tools and normally uses $0 in outside AI credits. A local scope gate declines questions unrelated to ecommerce, customer support, the store, or klaxify before an outside provider can be contacted. The bar is read-only: it can organize evidence and open a governed workflow, but it cannot bypass validation or approval policy.