A publicly traded renewable energy developer
Explore Project
Systems audit, AI infrastructure
Core Capacities
500+ active projects, 20+ stakeholders
Project Focus
2026
Year
Overview
1
Problems were surfacing at $10M of project spend rather than $2M because there was no systematic way to surface risk signals early. Assembling a single Investment Committee memo consumed approximately 100 person-hours, and capacity had fallen from two or three memos per week to one. Portfolio-wide risk visibility was effectively absent for 90% of active projects. The data to solve these problems existed — it was trapped in disconnected systems, manual processes, and individual knowledge.
2
Sierra conducted a comprehensive systems audit involving structured interviews with more than 20 stakeholders across all major business functions. Rather than recommending a platform replacement, Sierra designed an additive architecture: a centralized data and intelligence layer that overlays existing systems and makes the data already in them accessible, queryable, and actionable for the first time. Sierra is now actively building it — following the same discovery-first, dual-track structure used across Sierra's most complex data engagements.
3
• Conducted structured discovery interviews with 20+ stakeholders across Finance, Legal, Engineering, Operations, Business Development, and Risk. • Designed an additive data and intelligence layer overlaying existing systems rather than replacing them — reducing migration risk and time to value. • Built a risk intelligence system benchmarking live project assumptions against historical performance to surface failing projects before they escalate. • Developed automated IC memo drafting and a natural language project chatbot, reducing a 100-hour assembly process to days.
4
The systems audit produced a centralized data architecture and phased AI application roadmap that the full leadership team aligned behind. The first production applications are live: a risk intelligence system surfacing early warning signals, automated memo drafting, and a project chatbot that lets any stakeholder retrieve documents, financials, or project data in natural language. The firm now has the visibility to make decisions at the speed and confidence the portfolio demands.
