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Engineering

Engineering builds that ship fast and scale clean

Six proven build patterns, each designed for high-impact pilots and production-ready handoffs.

Engineering build3–6 months

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.

Tap for the full build outline, metrics, and stack guardrails.

Engineering build3–6 months (start with 2–3 sources, then expand)

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.

Tap for the full build outline, metrics, and stack guardrails.

Engineering build3–6 months

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.

Tap for the full build outline, metrics, and stack guardrails.

Engineering build3–6 months

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.

Tap for the full build outline, metrics, and stack guardrails.

Engineering build3–6 months

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.

Tap for the full build outline, metrics, and stack guardrails.

Engineering build3–6 months

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.

Tap for the full build outline, metrics, and stack guardrails.

Engineering build3–6 months

7) Tender Response Accelerator (Construction & Engineering)

A document intelligence system that reads RFT/RFP packs, extracts requirements, matches them against past submissions and capability statements, and drafts structured tender responses.

Tap for the full build outline, metrics, and stack guardrails.

Engineering build2–4 months

8) HR Shared Inbox Agent (Enterprise)

An AI agent that monitors a shared HR inbox, triages incoming queries, and drafts policy-compliant email responses for an advisor to review and send.

Tap for the full build outline, metrics, and stack guardrails.

Engineering build3–6 months

9) Commercial Review Assistant (Construction & Engineering)

An assistant that automates the first pass of commercial reviews on subcontractor quotes, variations, and contract clauses.

Tap for the full build outline, metrics, and stack guardrails.

Engineering build3–6 months

10) Assessment & Compliance Generator (Education & Training)

An AI system for RTOs and universities that generates draft assessments aligned to training package unit requirements, checks them against compliance standards, and flags gaps before audit.

Tap for the full build outline, metrics, and stack guardrails.

Engineering build2–4 months

11) Corporate Services Inbox Automation (Cross-industry)

A shared inbox automation agent for high-volume corporate functions like finance, IT helpdesk, procurement, and facilities.

Tap for the full build outline, metrics, and stack guardrails.

Engineering build2–4 months

12) Recruitment Workflow Assistant (Enterprise)

An assistant that accelerates recruitment operations by screening applications against role criteria, drafting shortlist summaries, generating interview question packs from position descriptions, and producing candidate comparison briefs.

Tap for the full build outline, metrics, and stack guardrails.

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.