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.

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.
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.
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.
Way in
Process & AI Workshops
A process map, pain points, KPIs, owners and an action plan, built with your team in the room.
Delivery
Transformation & Program Management
Fractional or interim leadership for large change: transformation offices, change management, growth, sale or IPO readiness, and post-merger integration.
AI
AI in One Function
Put the tools you already pay for to work. Process fixed, people trained, time saved measured.
AI
Company-wide AI Strategy
Built on the whole business: rollout order, governance and business case.
Ongoing
Strategic Advisory Retainer
Monthly check-ins, decision support, roadmap updates and accountability.
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
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.
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.
Conversation
30 minutes on where the friction is and what is driving the change.
Diagnostic
A fixed-scope Business Clarity Diagnostic or a focused workshop.
Roadmap
Priorities, owners and a plan: delivery, AI, or both.