Company / RiGi Group

About RiGi

Experienced technology leadership for organizations making consequential AI decisions. We connect strategy, architecture, delivery, and evidence so useful ideas become accountable operations.

About RiGi Group

Senior judgment. Hands-on execution. Evidence you can use.

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

How we work together

From ambition to an accountable result

Find the decision worth improving.

Build around the systems and people already in place.

Measure the result and keep an owner accountable.

Explore

Explore RiGi

LeadershipJimmy and Doug bring executive technology strategy and hands-on delivery together to help teams make AI useful, measurable, and auditable.CareersWork on AI systems that make evidence and responsibility part of delivery.PartnersRiGi works with technical and domain partners when the work calls for it.PressCompany announcements and approved media materials will appear here.