Overview
Your operations, engineering, and customer teams are already using AI. The question is how much value is reaching reliability and service work, and what is holding the rest back.
Customer care teams draft responses with AI assistance, planners summarize outage and asset history in Copilot, engineering and forecasting teams work through data in ChatGPT, Claude, and Gemini. What leadership usually cannot say is where that adoption is improving reliability work and customer service, where it is simply activity, and where customer usage data, asset and grid detail, or operational documentation is moving through tools nobody inventoried. The wins that do exist stay stuck in one function.
The AI Value Accelerator scores your organization across six dimensions and hands you a prioritized path to capture more value, with the exposure that would undercut it accounted for. Fixed scope, 1.5 days, scored posture in hand by the end of the week, in language that travels from operations to the board.
What you get
- AI Readiness Scorecard - The hero deliverable. Scored red/yellow/green across six dimensions: value capture, usage, workforce, policy, data exposure, and vendor risk. A one-page posture you can put in front of a board, a cooperative membership, an insurer, or a lender.
- Priority Action Brief - Your top three to five moves ranked by value gained per unit of effort, sized for the current work plan rather than the next rate period, with owner suggestions and effort estimates.
- AI Usage Map - A visual of which tools operations, engineering, customer care, and planning are actually using, where they are driving real value, what customer and operational data flows through them, and where the exposure points are.
- Path Forward Brief - An honest one-page read on where you stand, where the next increment of value is, and what makes sense next: an engagement, something you handle in-house, or you are on track and here is what to maintain.
How it works
I. Pre-Engagement Questionnaire - Completed asynchronously before the engagement day, so principal time goes to evaluation rather than information gathering. Interviews are scheduled with three to five stakeholders.
II. Discovery and Interviews - A full day: three to five structured stakeholder interviews of 30 minutes each, tool and usage inventory analysis, and identification of your top exposure points, following a codified framework rather than free-form conversation.
III. Scoring and Evaluation - Each of the six dimensions is scored red/yellow/green against a proprietary rubric. The Usage Map is drafted and exposures ranked.
IV. Reporting and Briefing - A half day to finalize all four deliverables, closing with a 30-minute delivery briefing with your leadership.
Who this is for
- CEOs, COOs, CIOs, chief risk officers, and VPs of operations or customer experience asked to show what AI is returning
- Investor-owned utilities, municipal utilities, and cooperatives whose employees use AI daily with no view of the return and no policy or usage inventory behind it
- Organizations where AI upside in planning and customer work is real and customer usage data and operational detail raise the stakes
- Lean IT teams working alongside operational technology groups, fielding AI demand they cannot evaluate or scale on their own
- Utilities answering AI questions from a board, a cooperative membership, an insurance carrier, or a large commercial customer
Engagement details
- Format: Organization-wide AI value and readiness assessment
- Duration: 1.5 days, fixed scope
- Participants: Three to five stakeholders, 30 minutes each
- Scope: Advisory assessment of governance, tools, and data flows
- Follow-up: Full deliverable package plus a 30-minute briefing
- Next step: Contact Realis to confirm fit and scope. Professional services transact through a private offer.
What this does not include
- Policy writing, implementation, or a full governance roadmap. The assessment tells you whether you need one.
- Tool-by-tool vendor evaluation or development-process assessment
- Ongoing monitoring, retainer advisory, or adversarial testing
AWS products supported
- Amazon Bedrock
- Amazon Bedrock AgentCore
- Amazon Bedrock Guardrails
- Amazon Nova
- AWS Audit Manager
- AWS Well-Architected
- Kiro
About Realis Solutions Group
Realis is a senior-only advisory firm at the intersection of artificial intelligence, emerging technology, and enterprise risk. Our advisors have built governance frameworks that hold, across 72% of the Fortune 100 and dozens of public-sector organizations. Every engagement is principal-led by operators who have held the roles your team is navigating.
Highlights
- Scored Posture in a Week, Not a Work Plan Cycle: A fixed-scope 1.5-day engagement produces a red/yellow/green scorecard across six dimensions - value capture, usage, workforce, policy, data exposure, and vendor risk - on one page you can hand to a board, a membership, or an insurer. The turnaround means your leadership can act within the current work plan instead of waiting months for a traditional consulting review.
- Value First, With Exposure Accounted For: Many AI assessments start from a control checklist. This one starts from where AI is actually earning its keep across operations, engineering, and customer care, then surfaces the customer and operational data exposure that would cap that upside. The result is a posture that reflects real operating reality, not theoretical readiness.
- Moves for This Work Plan, Not a Multi-Year Program: The Priority Action Brief ranks your top three to five moves by value gained per unit of effort, with owner suggestions and effort estimates, so the engagement ends in action rather than a program you still have to design. Each recommendation is mapped to the scored dimensions so you can track improvement over time.
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For support related to the Realis AI Value Accelerator for Power and Utilities, contact the Realis team by email at contact@realissolutions.com . This is a fixed-scope professional services engagement. Support inquiries may include questions about engagement scheduling, deliverable clarification, and post-briefing follow-up. Please include your organization name and a brief description of your question or issue in your email so the team can route your request appropriately.