Conversational AI Assistant
A conversational AI layer that connects to your existing infrastructure, retrieves answers from your enterprise data, and executes actions through approved APIs, without replacing your current platforms.
SEE IT IN ACTION
Watch how the assistant sits on top of EasyMart’s Shopify store searching the live catalog, answering product questions, and adding items to cart. All without replacing a single page.
UNDER THE HOOD
Connect to your existing systems. Ground every answer in your real data. Act through controlled API calls. The assistant runs on top of your stack – never replacing it.
We plug into your existing APIs and platform adapters. No migration, no new infrastructure.
Hybrid keyword + semantic search finds the right answer from your data. Never guesses.
Add to cart, check orders, and create tickets through controlled tool actions, all fully logged.
WHO IT’S FOR
Start with one use case, one data source, and one workflow. Expand after the pilot proves value.
WHAT YOU ACTUALLY GET
Everything teams ask about before rollout is answered in one place.
“Find me ergonomic chairs under $300 with lumbar support” is resolved against your live catalog.
Product specs, policies, warranty, shipping, and returns are all answered from approved sources and never invented.
Add to cart, create tickets, check order status, and update records; every action is confirmed and logged.
No decision trees, no canned responses. The assistant reasons through each request using your real data and tools.
Connects to Shopify, SAP Hybris, SFCC, Shopware, CRMs, and support tools through native adapters or any REST API.
On-brand tone, strict guardrails, abstain rules, and full audit logs are built for security and procurement review.
INTEGRATIONS
Connect through native adapters, existing APIs, or scoped custom integrations. No platform migration required.
Commerce
CRM & Sales
Support & Docs
Data & Custom
QUESTIONS
Will this interfere with my existing commerce platform?
No. The assistant is designed as an overlay on top of your existing systems. It connects through APIs, adapters, or approved data sources instead of replacing your commerce platform.
How long does a pilot really take?
A scoped pilot typically takes 4–6 weeks, depending on data readiness, API access, security review, and workflow complexity.
Which LLMs can we use?
The architecture is model-agnostic. Teams can use OpenAI, Claude, Gemini, Mistral, or open-source models depending on security, cost, hosting, and performance requirements.
Is our customer data used to train models?
The assistant can be configured to retrieve from your data at query time without using that data to train external models. Final behavior depends on the selected model provider and deployment pattern.
What happens when the assistant does not know the answer?
The assistant can be configured to clarify, abstain, or escalate. For grounded Q&A, it should answer from retrieved evidence only. If the source is missing, the safer behavior is to say the answer is not available rather than invent it.
Bring one use case, one data source, one workflow. We’ll show how a scoped assistant could connect, retrieve, and act inside your environment.
