Clarity first.

You can’t scale chaos.


Start with the problem, not the tool.

We help organizations run better and grow, whether the goal is a transformation, a sale or AI: clearer processes, trusted data and change programs that deliver. Led personally by Julie Rosenthal, with 25+ years in global corporations, consulting and private equity.

Julie Rosenthal, founder of EJM Group

Global multinational, forecasting

90%

Forecast accuracy, up from 40%, over a four-month horizon.

Same program, executive decisions

1 day

Decision cycle, down from about two weeks of debating the numbers.

Subsidiary transformation office

98%

Of 153 projects delivered in about two and a half years, reporting to the CEO.

Most organizations should not roll out AI company-wide yet.

Leaders are under pressure to do something with AI. Most can’t yet describe how their work flows from one end of the business to the other, and you can’t automate what you can’t describe.

So tools get bought one department at a time. Data is duplicated, nobody owns governance, and the business ends up with shadow AI: overlapping tools, no oversight and a new layer of IT chaos.

A 2025 MIT study of enterprise generative AI pilots found about 95% produced no measurable effect on profit and loss (gold squares: the few that did). Source: Fortune, August 2025.

AI is the tool. Knowing the business is the work.

You can’t automate chaos.
You can’t sell chaos.
You can’t integrate chaos.

ClarifyStabilizeScale

Four things, looked at together.

Whether the goal is a transformation, a sale, growth or AI, we look at the same four things together before anything is bought or built: people, process, data and technology. Most AI assessments start from tools and use cases. We start from the business problem, and technology comes last.

ClarifyStabilizeScale

People

Is leadership ready to change, and are teams on board?

Leaders sponsor the change. Owners and incentives are clear.

Teams trained, adoption measured.

Process

Map how the work really flows and where it breaks.

Simplify and redesign the work around the business problem.

Automate what is now stable.

Data

Check which numbers leaders can trust.

One definition, clean sources, a small set of KPIs.

Data that AI can safely learn from.

Technology

See what you already use, and how.

Use it better first. Retire duplicates.

Add new technology or AI only for a named business problem.

Leaders first

Change fails when management isn’t ready. We check that before anything else.

The problem sets the tool

AI is applied to a specific business problem, never just to “do AI.”

One method, any goal

The same approach works for an AI rollout and for ordinary business improvement.

How we help

Most engagements start with a fixed-scope diagnostic or a workshop. From there we lead the change, bring in AI where it fits, and stay on as advisors if you want us to.

Way in

Business Clarity Diagnostic

An AI readiness assessment that starts with the business. People, process, data and technology end to end, with top priorities and a view on where AI makes sense.

Fixed scope, 3–6 weeks

Way in

Process & AI Workshops

A process map, pain points, KPIs, owners and an action plan, built with your team in the room.

1–2 days

Delivery

Transformation & Program Management

Fractional or interim leadership for large change: transformation offices, change management, growth, sale or IPO readiness, and post-merger integration.

Months, scoped to the program

AI

AI in One Function

Put the tools you already pay for to work. Process fixed, people trained, time saved measured.

Weeks, per function

AI

Company-wide AI Strategy

Built on the whole business: rollout order, governance and business case.

6–12 weeks, after the Diagnostic

Ongoing

Strategic Advisory Retainer

Monthly check-ins, decision support, roadmap updates and accountability.

Monthly

All services in detail

Organizations where complexity is the signal

Mid-sized and large organizations

Growth, acquisitions or international expansion are straining how the work gets done, and there is pressure to “do AI.”

Growth-stage, PE-backed and pre-IPO companies

A funding round, a sale, IPO or SOX readiness, or post-merger integration. Especially medtech, diagnostics and life sciences.

Leadership teams and company events

Companies that want a workshop, a training or a keynote for their leaders, an offsite or a change program, including investors and their portfolio companies.

Industries: healthcare, medtech, life sciences, financial services, private equity, automotive, logistics, technology, consumer.

Led personally by Julie Rosenthal

Cornell MBAUC Berkeley BAEFQM AssessorEnglish and German

25+ years where strategy meets execution: in a global corporation, with a Big Four strategy practice, in private equity, and as an independent consultant.

She ran a transformation office of 153 projects reporting to the CEO, led global sales effectiveness and forecasting, and led global SOX compliance programs. She advises four AI and HealthTech startups, and wrote Sh*t In, Sh*t Out: Align Data, Processes, Technology, and People for the AI Revolution.

More about Julie

For smaller companies

Full disclosure: I’m building Mirasent, a platform now in development. Many small and mid-sized companies, up to about 250 people, need the same clarity large organizations pay consultants for, but can’t afford a consulting engagement. Mirasent gives them a structured way to assess and improve their business themselves.

It is a separate company with its own brand. When a Mirasent assessment points to a change too large to run alone, EJM Group is where that work continues. Visit Mirasent

Start with 30 minutes.

A conversation about where the friction is and what is driving the change. No cost, no obligation, and no slide deck.

  1. Conversation

    30 minutes on where the friction is and what is driving the change.

  2. Diagnostic

    A fixed-scope Business Clarity Diagnostic or a focused workshop.

  3. Roadmap

    Priorities, owners and a plan: delivery, AI, or both.