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Build capability

Build practical AI-for-energy capability around real decisions and data.

NEI workshops help executives, engineers, researchers and sustainability teams understand where AI can create value, what data and governance are required, and how to move from an idea to a credible use case.

When this service is useful

Use the review when the decision needs clearer evidence.

  • Executive and operational leadership.
  • Energy and facilities teams.
  • Engineers and technical specialists.
  • Sustainability and net-zero teams.
  • Researchers, graduate students, innovation teams and public-sector decision-makers.
What NEI reviews

Evidence, assumptions and decision context.

  • Energy-data foundations and readiness.
  • Forecasting, load prediction and anomaly detection.
  • Optimization and decision support for PV, storage, cooling and buildings.
  • Generative AI for technical analysis, reporting and knowledge workflows.
  • Validation, explainability, governance, confidentiality and implementation risks.
Information requested

Start with the minimum useful evidence.

Data limitations are recorded explicitly and used to shape proportionate next steps.

  • Audience roles and expected number of participants.
  • Current technical and AI familiarity.
  • Priority energy or sustainability decisions.
  • Available example data, scenarios and confidentiality constraints.
  • Desired format, duration, learning outcomes and whether exercises or tools are required.
Client deliverables

Clear outputs for the next decision.

01

Tailored agenda

A program aligned with the audience, context and intended outcomes.

02

Applied demonstrations

Relevant examples without overstating model capability.

03

Guided exercises

Activities selected for the audience’s technical level and available tools.

04

Use-case priority map

Comparison by decision value, data readiness, effort and risk.

05

Participant reference pack

Slides, templates, workflow guidance and an implementation note.

Use-case and governance method

Every AI use case must connect to a controlled decision.

The workshop moves from operational value to data, human control, risk and measurement rather than beginning with a tool demonstration.

Six questions for every use case

  1. What operating or investment decision will change?
  2. Who owns that decision and who is affected?
  3. Which data is necessary, available and permitted?
  4. What can go wrong, and where must a person remain in control?
  5. What intervention follows the output?
  6. How will value, reliability and risk be measured?

Practical workshop outputs

  • A decision-linked use-case canvas.
  • A data-readiness and evidence-gap screen.
  • A lightweight risk and human-control map.
  • A pilot definition with baseline, measures and stop criteria.
  • Clear next actions for executives, engineers or researchers.

Read the AI-readiness guide →

Evidence base

The workshop draws on the energy–AI relationship described by the IEA, the Govern–Map–Measure–Manage structure of the NIST AI Risk Management Framework, and power-system digitalisation guidance from IRENA. These references are adapted to the organization’s decisions and do not confer certification.

Engagement sequence

Five focused steps.

  1. Define the audience and learning outcomes.
  2. Select relevant use cases and examples.
  3. Confirm data, tool, confidentiality and delivery constraints.
  4. Deliver the workshop and applied activities.
  5. Provide materials and next-step options.

Scope boundary

Unless separately scoped, the workshop does not include production software, proprietary third-party tool access, a validated machine-learning model, ongoing technical support, external certification or implementation of a live data platform.

Design a workshop around the decisions your team actually faces.

Start with the decision, available evidence and the outcome the organization needs.

Plan a workshop
Engagement at a glance

A defined decision engagement.

Scope

Half or full day · AED 14,000-32,000

Typical inputs

  • Audience roles and decision priorities
  • Current data and digital maturity
  • Relevant energy use cases
  • Internal policy, risk and governance constraints

Decision-ready output

An executive-aligned use-case map, control principles, priority actions and a practical 90-day capability plan.

Not included

  • Custom software development
  • Accredited professional certification
  • Legal or regulatory assurance
  • Unbounded AI strategy consulting

Final scope and fee are confirmed after a 20-minute fit call and review of available information.

Request a fit callSee sample outputs
Fit and frequently asked questions

Use this offer when the next decision matters more than another generic report.

Who should attend?

Executives, asset and energy leaders, engineers, analysts, procurement, sustainability and digital teams.

Is it technical or executive?

It is adapted to the audience while keeping examples practical and decision-focused.

Can it use our own cases?

Yes, when materials can be shared safely before the workshop.

What happens afterwards?

NEI can scope a diagnostic, decision review or capability sprint only where a clear next question exists.

Australian application

Applied AI-for-energy cases for Australian teams.

Workshops can use Australian interval data, tariffs, distributed-energy cases and governance constraints so executives and technical teams leave with locally relevant use cases, risks and pilot criteria—not generic AI demonstrations.