AI and Automation Design

ZLABS designs and implements AI workflows, agents, knowledge systems and integrations that automate repetitive work, accelerate production and improve decision-making. Every system is built around real operating requirements, with human controls, measurement and governance included from the beginning

AI design and implementation

  • Agentic AI Assistants, Available 24/7

  • Agentic Research and Search

  • Automated Production at Scale

  • AI Automation Pipelines

  • AI Video Production

  • Product Visualization and 3D Acceleration

  • Data Integration and Analytics

  • AI Manufacturing and Engineering Support

  • Custom Models and Knowledge Systems

  • AI Operations and Governance

AI Automation Pipeline

Workflow design and build. Ingest, transform, enrich, route, and publish across tools. Human in the loop controls, logging, retries, and governance.

Agentic AI Assistants 24/7

Always on chat for customer support, sales enablement, and internal ops. Knowledge base grounding, escalation rules, ticketing, and CRM updates.

Agentic Search Optimization

AI driven content and schema optimization for discovery. Site and feed parsing, entity mapping, internal linking, and continuous updates based on query demand.

AI Video Production

Script to storyboard to edit. Product explainers, ad variants, voice, captions, localization, and performance testing loops.

Scale Automated Production

High volume content and asset generation with QA. Templates, versioning, approvals, and multi channel delivery at speed.

Product Visuals and 3D

AI assisted concept renderings, 3D, illustration, and product visualization. Consistent style systems and fast iteration for marketing and pitch.

Data Integration and Analytics Reports

Connect sources, normalize data, and produce decision grade reporting. Dashboards, KPIs, attribution, anomaly alerts, and executive summaries.

AI Manufacturing and Engineering Support

AI assisted documentation, requirements, BOM support, supplier research, and design review workflows. Not physical manufacturing, but automation around engineering and ops.

Custom Models and Knowledge Systems

RAG setup, fine tuning when justified, vector search, taxonomy, and retrieval rules. Secure data handling and role based access.

AI Ops and Governance

Monitoring, evaluation, prompt and model version control, cost controls, compliance guardrails, and incident response.