Focus 1
AI Opportunity Scan
Map where new AI tools can realistically improve reporting, forecasting, client operations, or internal workflows without creating noise.
AI Trends and Research
I help companies separate signal from noise in fast-moving AI developments. The goal is not to add AI because it is fashionable, but to identify where it can genuinely improve analysis, automation, service delivery, or decision quality.
Focus 1
Map where new AI tools can realistically improve reporting, forecasting, client operations, or internal workflows without creating noise.
Focus 2
Translate AI hype into a shortlist of use cases that support actual business decisions, governance, and measurable time savings.
Focus 3
Set up a practical first pilot with clear data inputs, expected outcomes, risks, and a rollout path if it proves useful.
What clients can expect
A practical review of where AI can fit within finance, reporting, operations, or service workflows, including where not to use it.
Typical outcomes
Use-case prioritization, first-pilot advice, data readiness review, and a concrete next-step roadmap for implementation.
Suitable for
Companies that want to work with new AI developments in a measured, commercially useful way instead of experimenting without direction.