A global alternative asset manager

Explore Project

AI capability training, agentic engineering

Core Capacities

Engineering org transformation, ~50-person team

Project Focus

2026

Year

Overview

Taking One of the World's Largest Alternatives Managers AI-First

Taking One of the World's Largest Alternatives Managers AI-First

Taking One of the World's Largest Alternatives Managers AI-First

One of the world's largest and longest-established alternative asset managers approximately $91B in AUM, 550 professionals firm-wide recognized that AI adoption across its ~50-person engineering organization had stalled. Despite encouragement from leadership and access to AI-enabled tools, adoption was uneven: a small cohort had found traction while most of the team remained disengaged. The firm needed more than a training session. It needed a structured program built around its own environment, measurable at every step.

One of the world's largest and longest-established alternative asset managers approximately $91B in AUM, 550 professionals firm-wide recognized that AI adoption across its ~50-person engineering organization had stalled. Despite encouragement from leadership and access to AI-enabled tools, adoption was uneven: a small cohort had found traction while most of the team remained disengaged. The firm needed more than a training session. It needed a structured program built around its own environment, measurable at every step.

One of the world's largest and longest-established alternative asset managers approximately $91B in AUM, 550 professionals firm-wide recognized that AI adoption across its ~50-person engineering organization had stalled. Despite encouragement from leadership and access to AI-enabled tools, adoption was uneven: a small cohort had found traction while most of the team remained disengaged. The firm needed more than a training session. It needed a structured program built around its own environment, measurable at every step.

1

The Challenge

The Challenge

The Challenge

Generic AI training programs weren't moving the needle. The firm needed a program designed around its actual tools, workflows, and engineering culture — not a vendor's standard curriculum. It also needed a way to measure adoption across a large team, identify where engagement gaps existed, and apply targeted interventions rather than hoping content would find its audience.

2

The Solution

The Solution

The Solution

Sierra designed and delivered a structured AI engineering capability program focused on AI-first development practices and agentic engineering. Rather than one-size-fits-all instruction, Sierra installed telemetry and analytics to measure adoption across the engineering organization and segment teams by proficiency. High-performing teams were accelerated further; patterns from those teams were systematically applied to lift lower-adoption groups. Following the program, Sierra was retained to consult on agentic architecture — helping the firm move beyond what had been built in-house.

3

Implementation Highlights

Implementation Highlights

Implementation Highlights

• Designed a curriculum built around the firm's actual engineering environment, tools, and real-world workflows — not generic AI concepts. • Installed adoption telemetry and proficiency segmentation to measure engagement across the full engineering organization. • Applied high-adoption patterns from leading teams to lift practice across lower-adoption groups through targeted intervention. • Provided ongoing agentic engineering advisory following the initial training, helping the firm accelerate beyond its in-house builds.

4

Results

Results

Results

Engineering-wide AI adoption measurably increased across the organization, with telemetry surfacing and addressing the specific gaps that generic programs miss. Sierra was retained for ongoing advisory and agentic architecture consulting — helping the firm move faster and further than what had been built internally. The engagement established AI-first engineering as a consistent organizational practice rather than a capability held by a small cohort.

Let's Build Together.

Let's Build Together.

Let's Build Together.