AI Agency & Services
Services built around data systems, AI workflows, and training adoption.
I keep the offer narrow on purpose. If the work does not fit one of these paths, it probably belongs in a conversation first.
Delivery process
How I usually work
The sequence stays simple: get clear on the problem, build the right layer, and leave something behind that another team can still run.
- Start with the actual problem, not the tool.
- Map the workflow and the constraints.
- Build the smallest version that can prove the point.
- Document it so someone else can keep it running.
Service pillars
Four ways I usually help
These are the four main paths: BI systems, AI workflows, training, and data foundation work.
Autonomous decision systems
AI Agentic Workflows
I design AI workflows that know where they should stop. The point is not full autonomy. The point is useful automation with guardrails.
- Decision steps mapped before the model gets involved
- Repeatable workflow logic with clear handoffs
- Automation that still leaves room for review
Executive intelligence layers
BI Deployment
I build BI layers that make the numbers easier to trust and easier to use.
- Semantic models built around the business vocabulary
- Dashboards that show what matters without noise
- Reporting that stays maintainable after launch
MCT-led enablement
Professional Training
I run training that focuses on what teams need to do next, not just what they need to know.
- Workshops shaped around actual job roles
- Hands-on sessions for Power BI, Fabric, Copilot, and AI workflows
- Clear next steps after the session ends
Azure analytics modernization
Enterprise Data Lake Migration
I help teams move data into a modern cloud setup without recreating the same mess in a new place.
- Cleaner source-to-reporting flow
- Layered data design with traceability
- A foundation that supports analytics, not just storage
Conversion path
If one of these looks close to your problem, that is enough to start.
The contact page lets you route consulting, project, training, partnership, speaking, or advisory requests without overthinking the first message.