AI readiness and opportunity review
Map where AI could reduce manual effort, improve decisions, or support internal teams without adding unnecessary risk or complexity.
Typical Projects
Focused AI work that moves from opportunity to usable capability.
Luniqex engagements are shaped around practical delivery: clear scope, useful outputs, and implementation decisions that can be understood by technical and non-technical stakeholders.
Common engagement types
Internal AI policy setup
Define acceptable use, data handling, review pathways, and guardrails for teams already using or preparing to use AI tools.
Workflow automation discovery
Identify repetitive workflows, system handoffs, document-heavy processes, and approval paths that can be redesigned with AI support.
Private AI prototype
Build a controlled internal proof of concept using business data, retrieval workflows, local or hosted models, and documented constraints.
Model and data pipeline review
Review data quality, model readiness, evaluation design, deployment constraints, and whether a machine learning approach is justified.
Secure AI system implementation
Connect AI capability into existing operations with attention to access control, cyber risk, documentation, and handover.
Platforms and integration context
Luniqex can design workflows around commonly integrated AI and cloud platforms including OpenAI, Claude, Microsoft, Google, local language models, speech-to-text engines, vector databases, and business data systems. Platform names describe technical compatibility and integration context, not partnership or endorsement.