FMC Applied Intelligence
Maturity audits, AI governance, and analytics systems for organizations tired of data that doesn't drive decisions.
Systematic evaluation of your data, analytics, and AI capabilities, grounded in published BI maturity model research and applied through two practical filters: how quickly your organization gets from data to decision, and what could be removed without losing the decision.
Workshops and applied training led by a Certified Adult Educator with 2,000+ hours of in-classroom adult instruction. No jargon. No logo-stuffed slides. Just signal.
End-to-end analytics infrastructure, from instrumentation strategy to dashboard design. I build systems that produce decisions, not screenshots.
Three things that make FMC Applied Intelligence different from a vendor's consulting arm or a big-four advisory engagement.
No software partnerships, no resale margins, no platform allegiances. The audit recommends what fits your actual maturity. Not what someone is selling you.
We work inside the program training the next generation of data practitioners. That gives us a current-state read on where the discipline is heading and what your future hires will expect. Not a five-year-old framework from a textbook.
The audit isn't a vendor's checklist with a logo on it. Recommendations are calibrated to your actual maturity, not to the size of the engagement we'd like to sell you next.
A note on stance: most organizations aren't bad at data practice on purpose. They're focused on the work that drives the business: serving customers, running the program, delivering the service. Data practice is a need that emerges as the organization grows. Our job is to meet you where you are and get you to where the business needs you to be. Not to sell you something larger than the problem.
Calibrated trust in generative AI for organizations that need to use it responsibly.
Applied workshop on LLM hallucination: why language models confabulate, how to catch it, constrain it, and communicate the risks to stakeholders who haven't yet calibrated their trust in AI systems.
Applied training for a small applied research team covering agentic AI patterns: multi-step reasoning, tool use, and autonomous data workflows in analytics and institutional research contexts.
Ongoing technical advisory role at Holland College's Business Analytics Centre (BAC). Scope analytics engagements for local SMEs and Atlantic Canadian organizations; manage the student-to-industry talent pipeline between the post-graduate AI & Data Analytics program and regional industry.
Built an automation pipeline using open-source Qwen 3.6-VL to perform OCR on passports and structured ID documents, extracting and routing data back into a master system. Handled PII compliance requirements throughout.
Open-source FWI prediction pipeline built pro-bono for PEI National Parks and the Federal Government. Integrates weather data feeds and computes Canadian Forest Fire Weather Index components for operational use.
View on GitHub →Led the migration of sensitive PII data from a legacy vendor system to a modern operations platform. Navigated complex data governance requirements, vendor relations, and private data handling protocols throughout.
Workshop for PEI Public School Board teachers during a continuing education day. Covered responsible integration of Generative AI into classroom practice: applications, policy considerations, and ethical guardrails for K–12 educators.
Two back-to-back sessions at separate venues in a single day, approximately 100 educators in attendance. Covered practical AI applications and adoption strategies for public education contexts.
Pre-conference guest speaker at CAP 2023. Presented on ChatGPT adoption in education, covering best practices, institutional risks, and actionable strategies for educators navigating the early wave of generative AI.
Applied workshop on LLM hallucination and practical mitigation strategies
PEI Public School Board · Continuing Education Day
Two sessions · Separate venues · ~100 attendees
CAP 2023 Pre-Conference · Guest Speaker
Interested in having me speak at your event?
Get in TouchOur practice rests on two ideas, borrowed from people who've already said them better.
Cindi Howson named the goal: the job of a BI analyst is to reduce time to insight.
George Box named the method: parsimony and sufficiency. The smallest model that actually works.
Most of what gets called "data strategy" misses on both. More dashboards do not reduce time to insight; they extend it. More features in a model do not make it more useful; they make it less defensible. Data practice is the discipline of removing everything that doesn't help someone decide.
Most organizations have data dashboards. Few have a data practice.
I work with teams that are ready to stop collecting vanity metrics and start making better decisions. This means honest assessments, sometimes uncomfortable recommendations, and always a focus on what actually moves the needle.
No magic frameworks. No vendor pitches. Just signal.
"The goal isn't to have more data. It's to need less of it to make the right call."
FMC Applied Intelligence works with growing organizations that have hit the edge of what spreadsheets and instinct alone can do.
The team lead good with Excel who became the accidental analyst, eight hours a week in spreadsheets off the side of their desk. The child care agency that's spent years focused on families, not spreadsheets. The registrar's office checking that every scanned passport is actually a passport. The leadership team asked to migrate a twenty-year-old operations system, worried they'll be sold something larger than they need.
I'm Chris Stewart, founder. I'm a data analytics practitioner and educator based in Kensington, PEI. I also serve as Learning Manager for the Post-Graduate Certificate in AI & Data Analytics at Holland College and as Technical Advisor at the Holland College Business Analytics Centre.
I hold an M.Sc. in Information Systems from Athabasca University and a Certified Adult Educator credential, and have published research on business intelligence maturity models. The audit work is built on that foundation.
Our thesis is simple: good analytics is as much clarity and judgment as it is code. That's what we build for clients.
FMC Applied Intelligence operates independently of Holland College.
Tell me about your organization and what you're trying to build. I'll respond within 48 hours.