AI Enablement Consulting | Enterprise AI Adoption

Case Studies

Proven Results with Leading Organizations

Empowering the next generation of Knowledge Workers

Challenge

Employees needed hands-on experience crafting effective AI prompts but lacked confidence to experiment.

Solution

Designed and delivered an interactive Prompt-a-thon: a prompting masterclass with hands-on exercises where 1,000+ participants designed, tested, and refined prompts to solve real-world challenges.

93%

Rated event as helpful for their work

68%

Increase in weekly Copilot use

38%

Started using Copilot for the first time

Challenge

Following the Prompt-a-thon's success, CVS needed a structured, week-long program to deepen AI skills across teams and embed AI thinking into daily workflows at scale.

Solution

Created a comprehensive AI Learning Week with progressive skill-building sessions, role-specific use case development, and measurable competency benchmarks tailored to healthcare operations.

45%

Colleague participation in AI Learning Week

41%

Reduction in time-to-competency

Tech Adoption Design Sprint

Challenge

Digital teams struggling with learning new tools, collaboration, and surfacing insights to leadership.

Solution

Ran a cross-functional design sprint to align design, engineering, and PM tools, creating shared workflows and leadership dashboards to track adoption ROI.

31%

Increase in tool usage

44%

Increase in knowledge sharing

$7.9M

Reduction in wasted capacity

AI Enablement — Copilot

Challenge

Complex technology platforms created adoption barriers and compliance risks across teams.

Solution

Led design of technology enablement programs that translated complex platforms into clear, usable workflows through blended learning and close stakeholder collaboration.

41%

Reduction in time-to-competency

68%

Increase in weekly Copilot usage

AI Hackathons

Challenge

Members wanted to learn practical AI tool applications but needed a safe space to experiment.

Solution

AI Hackathons across multiple chapters using ChatGPT, Microsoft Copilot, and Saige. Participants built prototypes and strategy tools in hands-on sessions.

500+

L&D professionals trained hands-on

ATD chapters with active programs

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Three Pillars

How We Build AI Capability That Sticks

Three pillars. One integrated enablement model. Built for organizations where AI adoption is high-stakes and failure is expensive.

Strategic Enablement

THE AI COMMAND CENTER

Leadership needs visibility into what AI is doing across the organization, and the ability to unlock strategic levers as they emerge. We run a parallel dialogue throughout every engagement, surfacing adoption patterns, identifying high-value opportunities (predictive analytics, workflow automation, customer-facing AI differentiation), and helping leadership make smarter build-vs-license decisions in real time. This includes evaluating your data infrastructure for AI readiness — ensuring the pipelines and governance are in place to support scalable adoption.

Role Enablement

CAPABILITY BUILDING

Every role interacts with AI differently. A compliance officer’s workflow demands a completely different approach than a department head’s or a field engineer’s. We design sessions around what each team does day to day, across a range of regulated fields like energy, healthcare, finance, and insurance — and more. Hands-on exercises backed by proprietary adoption tools and embedded measurement.

Agentic Enablement

FRONTIER AI

AI is moving from assistant to agent. We help organizations understand and prepare for agentic workflows — building the judgment, guardrails, and governance frameworks needed to operate safely as AI takes on more autonomous work. We also design and deploy custom AI tools that accelerate adoption and give your teams a lasting competitive edge.

Our Team

Practitioners, Not Theorists

AI transformation led by people who've done it at the world's most innovative companies.

Jeremy Berman

CEO

Psychology-trained leader with 17+ years building learning technology. Washington University grad turned entrepreneur. Jeremy co-founded Saige to help organizations unlock their people's potential — and builds the custom AI tools that power every engagement. His consulting approach combines human-centered design with deep expertise in organizational change.

Josh Schwartzman

CTO

22+ years as an engineer and entrepreneur. Josh built nReduce, a peer-to-peer incubator that helped 4,000+ founders scale. Former consultant at PwC and CBSi, where he led agile teams building web and mobile products. He brings deep technical expertise, data intelligence, and startup velocity to enterprise AI implementations.

Shyer Amin

CPO

10+ years translating complex technology into adoption at scale. Shyer was a Senior Product Manager at CVS Health's AI Platforms & Engineering organization, leading enterprise AI enablement and go-to-market strategy. Known for turning emerging AI capabilities, and complex data structures, into clear value propositions and measurable business outcomes.

Daniel Caplin

COO

25+ years as an operator with $100M+ in exits — and Jeremy's building partner since 2008. Daniel partners with leadership teams to turn AI ambition into operational reality, specializing in moments where technology, people, and execution must align. He focuses on AI enablement at the system level, helping teams design operating models, workflows, and decision frameworks that let AI tools change how work gets done.

Prior Experience

Where Our Team Has Been

World-class innovation and strategy firms that shaped how we approach AI enablement.

IDEO

SYPartners

Wongdoody

PwC

The Engagement

How an Engagement Works

Three phases. Six to nine months. Real measurement at every stage.

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Foundation & Discovery (Months 1-3)

Discovery conversations with leadership and the people closest to AI in your organization. Our AI Pulse Check establishes a measurable baseline across five dimensions. We assess your data infrastructure for AI readiness alongside initial hands-on sessions by department. Closes with a discovery report for leadership.

Activation & Early Wins (Months 4-6)

Experiment design by department. We launch 1-2 measurable experiments per team with clear pre/post baselines, bringing in tools to support adoption where they help and building custom ones when the situation calls for it. Mid-engagement Pulse Check captures what's shifting. The goal: concrete, shareable wins that build momentum across the organization.

Capability & Strategic Expansion (Months 7-9)

Advanced workflows, custom AI skills, and when teams are ready, the shift toward agentic enablement. Tools introduced earlier get refined based on real usage. Final Pulse Check for full pre/post comparison. Closes with an all-hands and a report for leadership: what moved, what scales, and where the next opportunities are.

Ongoing Strategic Dialogue

Runs in parallel throughout all three phases. Regular check-ins with leadership to surface adoption patterns, evaluate data readiness, inform build-vs-license decisions, and identify opportunities beyond internal productivity — from customer-facing AI to agentic workflows.

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What We Don't Do

What You Won't Get from Saige

We believe in being upfront about what we are and what we're not.

Vendor selection theater disguised as strategy

Tools Mastery is the practice of building deep, organization-wide competency with AI tools — going beyond basic adoption to achieve real behavioral change, measurable productivity gains, and sustainable skill development across teams.

Generic training decks delivered to a room that forgot by Friday

Most organizations buy AI tools but don't invest in the enablement layer. Without structured coaching, measurement, and practice, teams default to basic or sporadic usage. The gap exists because adoption without enablement is just a license fee.

Strategy documents handed over and walked away from

Saige provides a progressive AI enablement platform that combines in-the-flow coaching, embedded measurement, skill-building tools, and organizational intelligence to take teams from first prompt to full potential.

Silver-bullet promises about transformation timelines

Traditional DAPs teach people how to click buttons in software. Saige teaches people how to think and work differently with AI. We focus on cross-tool mastery, behavioral change, and organizational intelligence rather than single-app walkthroughs.

An external team that replaces your internal experts instead of building them up

The assessment evaluates your organization across key dimensions of AI enablement including tool adoption, capability maturity, learning infrastructure, and organizational readiness — providing a benchmark score and personalized recommendations.

FAQ

Frequently Asked Questions

Common questions about AI enablement consulting

What is AI enablement consulting?

AI enablement consulting helps organizations move beyond tool deployment (implementation) to build real behavioral fluency with AI. We partner with traditional IT rollouts, and focus on how people actually work. We coach teams to integrate AI into daily workflows, measuring capability growth, and building the internal muscle to sustain progress without ongoing external dependency.

How is AI enablement different from AI training?

Training teaches features. Enablement changes behavior. A training session shows someone how to use a tool; enablement embeds AI into how they think, decide, and work — with measurement, coaching, and reinforcement over time. The difference shows up in adoption curves: training spikes and fades, enablement compounds.

What results can we expect from AI enablement?

Our clients typically see 30–70% increases in AI tool adoption, measurable reductions in time-to-competency, and documented ROI within the first engagement cycle. Our methodology has driven a 68% increase in weekly Copilot usage at CVS Health and a 41% reduction in time-to-competency at UnitedHealth Group.

How long does an AI enablement engagement take?

Most engagements run 9–12 months across three phases: Foundation & Discovery (months 1–3), Activation & Early Wins (months 4–6), and Capability & Strategic Expansion (months 7–9), with ongoing strategic dialogue after. Shorter formats like prompt-a-thons and hackathons can run as standalone engagements.

Who is AI enablement consulting for?

Enterprise leaders, typically VP-level and above tapped to oversee AI and Digital Transformation. This can include C Suite and departments like IT, Operations, HR, L&D and Finance. Mid-market companies (100–3,000 employees) who’ve invested in AI tools but aren’t seeing the behavioral change or ROI they expected, particularly in regulated fields like energy, healthcare, finance, and insurance. Our methodology has been proven from mid-market companies to Fortune 50 organizations.

Do you assess data infrastructure as part of enablement?

Yes. AI enablement only works if the underlying data infrastructure supports it. As part of our Foundation & Discovery phase, we evaluate your data pipelines, governance, and integrations to ensure they’re ready for scalable AI adoption. This includes assessing data quality, accessibility, and whether the right information is flowing to the tools and workflows your teams are building with.

You have the AI Tools. Now you need the behaviors.

Proven Results with Leading Organizations

How We Build AI Capability That Sticks

Strategic Enablement

Role Enablement

Agentic Enablement

Practitioners, Not Theorists

Jeremy Berman

Josh Schwartzman

Shyer Amin

Daniel Caplin

Where Our Team Has Been

How an Engagement Works

Foundation & Discovery (Months 1-3)

Activation & Early Wins (Months 4-6)

Capability & Strategic Expansion (Months 7-9)

Ongoing Strategic Dialogue

What You Won't Get from Saige

Frequently Asked Questions

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