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Case study · AI-Assisted BI

AI-Assisted Control Tower Dashboard POC

The project produced a stakeholder-validated proof of concept that combined a unified KPI dashboard, AI-assisted anomaly visibility, and user and technical documentation for further evaluation.

Energy
  • ai-assisted
  • executive-dashboard
  • poc
  • anomaly-detection
Anonymized control tower analytics POC visual with source cards, executive KPI panels, trend view, and validation cues.
Anonymized control tower dashboard frame

Evidence snapshot

Data domains
Finance, operations, investment
Unified into one executive-facing reporting experience.
Delivery assets
Dashboard + user guide + technical spec
The proof of concept shipped with both working screens and handover documentation.
Outcome signal
Stakeholder-validated POC
Validation workshops helped refine metrics, layout, and next-step feasibility.

Summary

The project produced a stakeholder-validated proof of concept that combined a unified KPI dashboard, AI-assisted anomaly visibility, and user and technical documentation for further evaluation.

What needed to change

Leadership teams needed a single view of financial and operational KPIs, along with anomaly and insight visibility in one place.

Context and constraints

The work sat inside a broader digital-transformation initiative and had to make AI-assisted monitoring understandable for non-technical executives.

  • Multiple business-unit data streams had to be unified into one clear executive view.
  • The proof of concept needed to demonstrate AI-assisted monitoring without overstating production maturity.

How the work was handled

Co-developed a Power BI control tower proof of concept that unified KPI monitoring with an AI-assisted watchtower layer, while also supporting dashboard layout decisions, validation workshops, and documentation for handover.

What changed in practice

The project produced a stakeholder-validated proof of concept that combined a unified KPI dashboard, AI-assisted anomaly visibility, and user and technical documentation for further evaluation.

  • Unified financial, operational, and investment KPIs into one executive-facing Power BI POC.
  • Integrated AI-assisted anomaly signals and near-real-time monitoring concepts.
  • Supported validation workshops plus user-guide and technical-specification handover materials.

Shows AI-assisted BI delivered as a documented, stakeholder-validated proof of concept rather than hype.

My role

Visualization development, stakeholder validation, and POC documentation

Tools: Power BI, AI/ML Models, PowerPoint, Word

Choices and lessons

  • Used Power BI to combine KPI tracking, alerts, and management-facing navigation in one view.
  • Worked across finance, operations, and investment data inputs to create a unified executive layer.
  • Positioned the work as a disciplined POC with documentation and next-step evaluation, not a production overclaim.

Implementation detail

Highlights

  • Contributed to a control tower dashboard with AI-assisted monitoring concepts.
  • Supported a unified reporting view across finance, operations, and investment KPI streams.
  • Contributed to validation workshops plus user and technical documentation for the POC.

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