Atlantic Canadian Applied AI
The AI Guys designs and deploys practical AI systems for organizations that need to modernize documents, data, decisions, and workflows without building a large internal AI team.
Founder-led delivery across enterprise AI, data science, data engineering, automation, optimization, and decision intelligence.
From opportunity to production
Useful enterprise AI depends on trusted data, reliable integrations, explicit business rules, appropriate human oversight, and a workflow people can actually adopt.
We design the full operating system around the AI component, from opportunity assessment and architecture through implementation, evaluation, and operational handoff.
Capabilities
Practical systems designed around the way information, decisions, and work move through an organization.
Identify high-value use cases, assess data and organizational readiness, estimate expected value, and define a practical implementation roadmap.
Build governed assistants that retrieve trusted organizational knowledge, explain procedures, coordinate tools, and help employees determine the appropriate next action.
Extract, classify, validate, and route information from invoices, forms, shipping records, contracts, and other document-heavy workflows.
Connect models with APIs, cloud platforms, data pipelines, semantic models, databases, and the systems where operational work already happens.
Apply forecasting, optimization, simulation, economic modelling, and machine learning to resource allocation and complex operational decisions.
Establish evaluation, controls, human review, security boundaries, monitoring, and support practices required for responsible production use.
How we work
Clarify the workflow, users, constraints, desired decision, and measurable outcome.
Evaluate data, integrations, risk, implementation effort, expected return, and whether AI is the appropriate method.
Develop a focused solution with explicit quality criteria, deterministic controls, and human review where consequences matter.
Integrate the system, support adoption, monitor performance, and improve it using real operational evidence.
Technology in context
We select technology based on the operational problem, existing architecture, cost, control requirements, and long-term supportability.
Substantial experience across Microsoft Fabric, Azure AI services, Copilot Studio, Power Platform, and Power BI.
APIs, Python, SQL, semantic models, databases, pipelines, and cloud data platforms connected to operational systems.
Permissions, deterministic validation, quality thresholds, human review, monitoring, and source-of-truth checks.
Technology choices grounded in maintainability, cost, security boundaries, adoption, and the client’s existing environment.
The team
The AI Guys combines enterprise AI strategy, applied data science, economics, data engineering, system integration, and quantitative decision modelling. Senior practitioners remain directly involved from discovery through delivery.
Enterprise AI and Data Science
Applied AI, data science, economics, optimization, simulation, and decision-support leadership.
Read Michael’s profileData Engineering and AI Systems
Data pipelines, cloud architecture, APIs, databases, integration, automation, and production foundations.
Read Logan’s profileTell us about the process, document workload, data challenge, or decision you are trying to improve. We will help determine whether AI is appropriate and what a practical first step could look like.