Selected work

From AI ambition to everyday practice.

Business strategy, partner leadership, adoption, and product work all belong in the same story: turning ambition into a focused way to grow and deliver.

A mountain river moving through a deep green forest
01

Business strategy

02

Relationships

03

Useful products

Current leadership

Building an AI partnership into a focused growth engine.

As Slalom’s OpenAI business unit leader, Jessica brings executive relationship management, business strategy, partner operations, market enablement, and hands-on solution storytelling into one operating model. She has helped move the partnership from reactive activity toward clearer ownership, sharper market focus, and more tangible solution assets.

Her work includes designing the business unit offsite and 90-day strategy, launching a national pipeline review, enabling expert teams, and representing Slalom through client demos and partner events with OpenAI, Snowflake, and Databricks.

Partner recognition
Customer Impact Awardreceived from OpenAI
Pipeline represented
~$151Min opportunity value
Team leadership
6Partner Solution Leads hired and managed, each accountable for a region, an industry, and a $3M sales goal
01

Slalom internal transformation

Making AI useful across a global consulting firm

As part of Slalom’s AI Office, Jessica helped consultants and leaders across the global organization put a growing portfolio of AI tools to useful work.

Company footprint
54offices in 12 countries
Reach
Globalinternal AI adoption
Adoption lift
25%in 3 months with stakeholder- and role-based user guides

The challenge

The firm needed to model the transformation it was advising clients to make. Access to tools such as Microsoft Copilot, Salesforce Einstein, and internally built platforms was only the beginning. People needed relevant ways to use them in real consulting work.

The approach

Jessica connected the firm’s AI strategy to daily consulting work. She co-designed an AI Coaching Certification program, helped establish a global peer community, coached leaders, and created stakeholder- and role-based user guides that made each tool relevant to the people using it.

What changed

The role-based guidance increased adoption across the firm’s AI tools by 25% in three months. Leaders gained a clearer view of readiness, consultants gained trusted guides, and AI adoption became ongoing work with owners and feedback, not a one-time software launch.

02

Global semiconductor organization

Building confidence, not just access

At a global semiconductor manufacturer, Jessica led the adoption strategy for a GitHub Copilot rollout and stood up a champions network that could keep supporting developers after launch.

Learning
16+end-user sessions
Champions
8network-building workshops
Global reach
3regions: Central US, ANZ, and India

The challenge

A technically sophisticated, globally distributed workforce needed more than product access. Developers needed relevant examples, clear expectations, and a safe way to build confidence with a fast-changing tool.

The approach

Jessica partnered with GitHub specialists, developers, and program leaders in the Central US, Australia and New Zealand, and India. She shaped learning around real developer use cases, embedded practical prompt techniques, and used eight train-the-trainer workshops to establish an internal champions network.

What changed

The champions network continued the work through ongoing learning activities and a badge program that recognized progress. Surveys and direct feedback also gave leaders specific changes to make as the rollout continued.

03

International clinical research organization

Turning seven executives into an AI leadership team

Individual coaching, shared scorecards, and a focused prototype helped a CEO and seven senior leaders decide how they would lead AI adoption.

Executive audience
7C-suite and SVP leaders coached
Leadership tool
1shared executive scorecard
Board preparation
1Microsoft 365 Copilot prototype

The challenge

The executive team needed to build its own confidence with AI while determining who could visibly champion adoption across the organization. The CEO also wanted a practical way to prepare for the different financial, technical, and strategic perspectives represented on the board.

The approach

Jessica coached each executive individually, then created scorecards that helped the CEO understand readiness, strengths, and likely champions across the team. She also prototyped a Microsoft 365 Copilot agent using client-provided board materials and director profiles as knowledge sources.

What changed

The prototype helped the CEO anticipate board questions and prepare for high-stakes conversations. When she demonstrated it to the board, members were impressed by the practical, role-specific use of AI. The scorecards also clarified which executives were ready to champion adoption and where others needed support.

04

Adobe Firefly product experience

Building an adoption engine that could outlast the engagement

As Senior Director of AI Transformation at Code and Theory, Jessica worked with Adobe’s forward-deployed engineers to shape Firefly use cases, content pipelines, and adoption activities that teams could carry forward.

Product
FireflyAdobe generative AI
Primary audience
Creativedirectors and brand leaders
Continuity
Post-engagementadoption activities designed to continue

The challenge

Brand and marketing teams were exploring how Firefly could support expressive creative work without weakening the role of creators, brand standards, or governance. Creative directors and brand leaders needed to decide where the product belonged in their process and which uses were valuable enough to scale.

The approach

Jessica managed stakeholders across Adobe, Code and Theory, brand teams, and marketing teams while working alongside Adobe’s forward-deployed engineers. She focused testing on how people wanted to use Firefly, translated promising use cases into repeatable workflows, and helped scale them into a successful content pipeline.

What changed

The work produced a clearer set of scalable use cases and a content pipeline grounded in real creative workflows. It also established adoption and learning activities that could continue after the consulting engagement ended.

Working on the messy middle of AI adoption?

Let’s turn it into a path people can follow.

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