Engineering builds that ship fast and scale clean
Six proven build patterns, each designed for high-impact pilots and production-ready handoffs.
1) Voice Sales Assistant (Premium Automotive)
A 24/7 voice agent that answers vehicle questions, qualifies buyers, and books test drives, using live inventory and CRM context.
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2) Enterprise Knowledge Assistant (Construction and Engineering)
A Teams-native assistant that unifies scattered project, safety, and engineering knowledge across multiple systems, with citations and permission-aware answers.
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3) Voice Training Assistant (Luxury Fragrance)
A conversational voice coach that trains consultants on new launches, runs role-plays, and reinforces product knowledge in short daily drills.
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4) Intelligent Customer Support Agent (E-commerce)
A support agent that resolves common tickets end-to-end by pulling live context from Shopify, helpdesk, WMS, and customer history, then escalating with full context when needed.
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5) Voice Maintenance Assistant (Manufacturing)
A hands-free voice assistant for plant maintenance that logs faults, retrieves procedures, and generates compliant work notes while technicians keep working.
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6) Field Ops Assistant (Voice + Photo)
A mobile assistant for field teams that answers SOP questions by voice, interprets photos, and produces compliant job reports grounded in approved documentation.
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Why these builds work: the data unification advantage
Most organisations do not have a data problem. They have a data access problem. Critical information is scattered across CRMs, project tools, document repositories, inboxes, and legacy systems. Our builds start by creating a secure unification layer: one conversational interface that can retrieve the right information from the right system, under the right permissions, with citations. That is what turns AI from a demo into an operational capability.