RiGiGROUP
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Company / RiGi Group

Leadership

Jimmy and Doug bring executive technology strategy and hands-on delivery together to help teams make AI useful, measurable, and auditable.

The people behind the work

Meet the people connecting strategy to delivery.

RiGi Group helps organizations choose where AI can create value, design the workflow around real constraints, and test whether the result is trustworthy enough to use. Our team joins executive advice, architecture, engineering, governance, and adoption.

Work with us ↗
Founder / AI strategy

Jimmy Standaert

Jimmy is a CAIO and founder who has spent more than two decades moving between executive strategy and hands-on technology delivery. His forward-deployed work spans discovery, enterprise architecture, data and API integration, implementation leadership, adoption, and value proof across regulated and multi-company environments.

  • Inventor of WWAIOS and named inventor on U.S. patent publication US20120284051
  • Agentic AI, RAG and GraphRAG, MCP tool integration, evaluation, and human decision authority
  • Kansas State University advisory boards for AI, machine learning, and autonomous systems
  • IEEE ICAP board work on AI trustworthiness, system ethics, and international scoring
CTO / Engineering delivery

Douglas Earp

Doug leads technology architecture and delivery at RiGi. His engineering and continuous improvement discipline helps teams translate a strategy into an operating workflow with clear responsibilities, measurable quality, and room to improve.

  • Master Black Belt in Lean Six Sigma
  • Certified SAFe practitioner
  • Kansas State University AI and autonomous systems advisory board participation
  • Architecture, delivery governance, and operational improvement
Hospitality AI / Domain expertise

Cindy Hawkins

Cindy puts hospitality sales reality into the design loop. In the Springfield sales intelligence pilot, she helps test whether an AI-generated lead is actually timely, relevant, and worth a human follow-up. Her frontline feedback turns a generic prospecting agent into a workflow shaped by property priorities, guest demand, and real sales decisions.

  • Challenges lead quality against the property’s actual sales priorities
  • Shapes qualification, timing, and follow-up requirements for the agent workflow
  • Reviews AI output with the judgment needed to separate useful signals from noise

Jimmy / Forward-deployed practice

In the room where strategy meets the systems.

Multi-company operating environments. Translate executive AI priorities into implementable data, automation, and operating changes across a seven-company portfolio.

Restaurant voice AI. Lead integration and pilot readiness across POS, databases, APIs, mobile, loyalty, kiosks, and back-office systems, exposing rollout dependencies before scale.

Enterprise modernization. Turn fragmented legacy platforms into executable data, API, and operating roadmaps, with adoption and outcomes tied to an accountable owner.

How we work together

From ambition to an accountable result

01

Technology strategy with an operating plan.

02

Engineering discipline from design through delivery.

03

Evidence and governance built into the workflow.