Real Results,
Real Organizations

We don’t talk about AI in the abstract. Here’s what it looks like when we actually do the work.

AI Training, Custom Tools & Agent Development

A national retailer’s L&D team wanted to go from AI-curious to AI-capable. We didn’t hand them a slide deck. We ran a hands-on learning series, built custom tools for their actual workflows, and walked them through creating their own Copilot agents. All within the Microsoft 365 environment they were already using.

What We Accomplished

  • Delivered a 5-session national AI Learning Series with measurable capability growth
  • Built 5 custom AI-enabled Excel tools to automate key L&D processes
  • Deployed 3 production Microsoft Copilot agents
  • Team now maintains all tools and agents independently
  • Engagement expanded to a national, bilingual HR AI 201 series

Business Process Automation & AI Enablement

A Calgary restaurant had no way to make sense of their own sales data. Everything was manual and scattered. We built them a custom analytics platform with automated pipelines and a dashboard that gave them insights they’d never had before. Then we taught the owner how to maintain and update the whole thing themselves using Claude AI. They haven’t needed us since.

What We Accomplished

  • Mapped existing workflows and identified key process improvement opportunities
  • Built a custom analytics dashboard with automated data pipelines
  • Enabled the business to independently maintain and update the tool using Claude AI
  • Delivered lasting capability, no ongoing vendor dependency required

Predictive ML Models & Data Pipeline Development

A Calgary ML startup needed someone who could build the full data pipeline behind their product. Scraping, cleaning, processing, and feeding it all into predictive models. We worked alongside their team of PhDs to build and refine the ML models, while making sure the business requirements from the C-suite actually made it into the technical spec.

What We Accomplished

  • Built large-scale automated data acquisition pipelines using Python
  • Developed predictive ML models using regression, gradient boosting, and ensemble methods
  • Delivered a full pipeline from raw data through to model output
  • Bridged the gap between executive-level business needs and technical model requirements

Want to See What This Looks Like for You?

Take the diagnostic to see where you stand, or just reach out. We’re happy to talk through it.