Friction Auditing: Find Barriers in Your New Client Acquisition Process
Your firm's marketing generates quality leads. Prospects express genuine interest during initial conversations. They seem ready to move forward with...
6 min read
Joy Youell
:
Dec 8, 2025 7:00:00 AM
Here's a conversation I have at least once a week:
A managing partner calls and says, "We're ready to start our AI transformation. We want to implement AI across the firm."
I ask, "What does success look like three years from now?"
Long pause.
"Well... we'll be using AI. We'll be more efficient. We'll be competitive."
That's not a destination. That's a direction with no endpoint.
You cannot navigate a transformation without knowing where you're going. And AI transformation actually requires two destinations, not one: what you're building internally for your people and operations, and what you're offering externally to your clients.
Most firms conflate these. They say "we're implementing AI" and think that statement covers both. Then they're surprised when their people don't know what they're working toward and their clients don't understand what's different about working with them.
Let me show you how to define both destinations clearly.
"We're going to use AI" is not a transformation goal. It's a tautology.
It's like saying "we're going to drive" without specifying where you're going. The car is just the vehicle. The destination is what matters.
When firms skip defining the actual destination, several predictable problems emerge:
Your people don't know what they're building toward. They learn tools without understanding how those tools change their work, their roles, or their value. They adopt AI minimally because they don't see where it's leading.
Your clients don't see differentiation. If you can't articulate what's different about working with an AI-enabled firm, clients just see you using the same tools everyone else is using. There's no compelling reason to choose you or pay premium rates.
Your investments are scattered. Without clear goals, you implement AI wherever it's easy rather than where it matters most. You end up with disconnected point solutions instead of coherent transformation.
Your metrics are meaningless. "AI adoption rate" doesn't tell you if you're succeeding. Adoption of what, toward what end, creating what value?
You need two specific destination statements: one internal, one external.
Your internal destination describes what your firm looks like, feels like, and operates like when AI transformation succeeds.
This isn't about technology. It's about the human and operational outcomes that technology enables.
What changes for the individuals doing the work?
Senior staff spending significantly more time on high-value strategic work. Be specific. Not "more efficient." But: "Senior managers and partners spending 60%+ of their time on strategic advisory, complex problem-solving, and relationship development instead of 40% like today."
All staff AI-literate with role-specific competencies. Define what "AI-literate" means for different roles. A junior staff person needs different AI capabilities than a tax partner. What does competence look like at each level?
A culture that celebrates intelligent experimentation. What behaviors does this culture reward? What does psychological safety look like in practice? How do people learn and share without fear?
Reduced burnout through automation of repetitive tasks. Which tasks specifically? What does work-life balance look like when people aren't drowning in data entry and document review?
These aren't aspirational statements. These are measurable outcomes you can assess three years from now.
What changes about how work flows through your firm?
Documented, AI-enhanced workflows for key processes. Which processes specifically? Tax preparation? Audit procedures? Client onboarding? Advisory deliverables? What does "AI-enhanced" mean for each?
Real-time data access and analysis capabilities. What questions can you answer in real-time that currently take days or weeks? What insights become available that are currently invisible?
Proactive (not reactive) client service delivery. What does this look like? Identifying client issues before they call you? Providing recommendations before they ask? Delivering insights they didn't know they needed?
Scalable delivery model that doesn't require proportional headcount growth. Specifically: ability to grow revenue X% while growing headcount Y% (where Y is significantly less than X). What's your target ratio?
Again, these are concrete, observable outcomes. Not "we'll be more efficient" but "we can serve 30% more clients with 10% more staff."
Your external destination describes what's different about working with your AI-enabled firm versus working with traditional competitors.
This is your evolved value proposition. It's what justifies premium rates and drives client retention and referrals.
Not: "We use AI"
But: "We combine AI-powered analysis with expert validation to deliver insights faster and with greater depth. You get the speed of automation with the judgment of 20 years of experience."
What this means in practice: Clients get multi-dimensional analysis of their financial data, industry benchmarking, scenario modeling—all generated by AI and interpreted by experienced professionals who know what matters in their specific context.
Not: "We're responsive"
But: "We provide real-time answers to time-sensitive questions, enabling you to make decisions when they matter, not two weeks later when the moment has passed."
What this means in practice: Clients can ask questions via portal and get AI-generated initial analysis within hours, validated by your team within 24 hours. They're not waiting for the next monthly meeting to get answers to urgent questions.
Not: "We provide recommendations"
But: "We show you three to five strategic paths with projected outcomes for each, helping you understand tradeoffs and make informed decisions rather than hoping one recommendation is right."
What this means in practice: Instead of "here's what you should do," clients see "here are five approaches you could take, here are the financial implications of each, here's what we recommend and why—but you're making the decision with full visibility into alternatives."
Not: "We're tech-forward"
But: "We help you navigate your own AI adoption—evaluating tools, avoiding pitfalls, identifying opportunities—because we've done it ourselves and understand both the promise and the challenges."
What this means in practice: You become a trusted guide for clients who are facing the same AI transformation questions you've already worked through. This is additional advisory revenue, not just a marketing position.
Not: "We're innovative"
But: "We're defining what professional services looks like in an AI-first world, and you benefit from working with a firm that's leading rather than following."
What this means in practice: You're publishing insights, speaking at conferences, being quoted in industry publications about AI in your sector. Clients choose you because you're recognized leaders, not just competent practitioners.
Notice how these destinations connect:
Internal: Senior staff spending more time on high-value work
External: Real-time advisory capabilities
These are two sides of the same coin. You can only provide real-time advisory if your senior people aren't buried in compliance work. AI automates the routine, freeing capacity for responsive advisory.
Internal: Documented AI-enhanced workflows
External: Multi-scenario strategic planning
You can only deliver multi-scenario analysis quickly if you have workflows that leverage AI for scenario generation. Without the internal operational capability, the external promise is impossible to deliver.
Internal: Culture of intelligent experimentation
External: Guidance on clients' AI adoption
You can only credibly guide clients through AI adoption if you've done it yourself—including the messy middle of cultural change and learning curves. Your internal transformation becomes external competitive advantage.
Your internal destination makes your external destination possible. And your external destination justifies the investment in your internal transformation.
Generic destinations are useless. "Be more efficient" or "provide better service" doesn't guide decisions.
Make your destinations specific enough that you can measure progress:
Instead of: "Staff will use AI"
Specific: "Within 18 months, 80% of professional staff actively use AI tools weekly for their primary job functions, with average time savings of 5-8 hours per week on routine tasks."
Instead of: "Clients will see value"
Specific: "Within 24 months, 60% of clients have engaged with at least one AI-enabled service offering (real-time analysis, multi-scenario planning, or AI adoption advisory), with client satisfaction scores of 8.5+ out of 10."
Instead of: "We'll be more strategic"
Specific: "Within 36 months, partner time allocation shifts from 40% strategic/60% compliance to 65% strategic/35% compliance, with corresponding 25% increase in advisory revenue per partner."
Specific destinations let you know if you're getting closer or not. Generic destinations let you pretend everything is fine while transformation stalls.
Here's how you know if you've defined your destinations clearly:
Ask ten people in your firm—partners, managers, staff at different levels—these questions:
If you get ten similar answers, you've defined the destination clearly.
If you get ten different answers—or blank stares—you haven't actually communicated where you're going. You've announced a journey without a map.
AI transformation isn't about the tools you implement. It's about the destination those tools help you reach.
Define that destination clearly—both internally and externally—and every decision becomes easier. Which tools to buy? The ones that get you closer to the destination. Which workflows to prioritize? The ones that deliver the outcomes you've defined. Which investments to make? The ones that build the capabilities your destination requires.
Without clear destinations, you're just accumulating AI tools and hoping something good happens.
With clear destinations, you're navigating deliberately toward a specific future you've defined.
Which approach do you think succeeds?
Ready to define your AI transformation destination clearly? Winsome's consulting practice helps professional services firms articulate specific internal and external goals, connect them strategically, and build roadmaps that get you there. We don't just help you implement AI—we help you define what success looks like and navigate toward it deliberately. Let's define where your firm is going.
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