Using AI for Competitive Analysis
In the high-stakes world of professional services, understanding your competitive landscape isn't just good business practice—it's survival. Law...
7 min read
Writing Team
:
Mar 18, 2025 11:41:23 AM
Client onboarding represents a critical juncture for accounting and professional services firms. It sets the tone for the relationship, establishes operational workflows, and directly impacts time-to-value for both the client and the firm. Yet traditional onboarding processes often remain labor-intensive, inconsistent, and frustrating for all parties involved.
Artificial intelligence is transforming this crucial business function. Forward-thinking accounting and professional services firms are exploring how AI can create more efficient, personalized, and value-driven onboarding experiences while potentially reducing operational costs and accelerating revenue recognition.
This article examines the potential applications of AI across the client onboarding journey, provides implementation guidance for marketing and client experience leaders, and explores how these technologies could reshape competitive dynamics in professional services.
Client onboarding in accounting and professional services has traditionally been characterized by:
These challenges create significant business impact. According to a 2022 CPA.com survey, 64% of accounting firms identify client onboarding as a process needing significant improvement. Similarly, research from Wolters Kluwer indicates that inefficient onboarding is among the top five operational challenges for accounting firms.
Let's walk through the possibilities.
Challenge Addressed: Manual document handling, data extraction, and validation
AI Application: Document processing platforms that use machine learning could:
Industry Example: Several leading accounting technology providers, including Thomson Reuters, Wolters Kluwer, and Intapp, have introduced AI-powered document processing capabilities in their platforms. While specific implementation results vary by firm and use case, these technologies are increasingly being adopted across the industry.
Marketing Opportunity: For marketers, this capability translates to concrete messaging around faster service initiation and reduced client administrative burden—tangible benefits that resonate with CFOs and controllers who typically oversee the engagement of accounting services.
Challenge Addressed: Generic service recommendations and missed cross-sell opportunities
AI Application: Predictive analytics that could:
Industry Development: Major firms including Deloitte, PwC, and Ernst & Young have publicly discussed developing AI-driven client analysis tools, though specific capabilities and results remain largely proprietary. These systems typically analyze client data to identify patterns that might indicate additional service needs or opportunities.
Marketing Opportunity: This capability allows marketers to position the firm as proactively consultative from day one, shifting perception from reactive service provider to strategic advisor—a key differentiation point in competitive pitches.
Challenge Addressed: Fragmented communication and document exchange
AI Application: Next-generation client portals potentially featuring:
Industry Development: Client portal technology continues to evolve rapidly, with providers like CCH Axcess (Wolters Kluwer), Karbon, and Intapp introducing increasingly sophisticated capabilities. While fully AI-powered portals remain emerging, the trajectory is clearly toward more intelligent, automated client experiences.
Marketing Opportunity: For marketers, these intelligent portals demonstrate technological sophistication while emphasizing the firm's commitment to client experience—particularly valuable when targeting midmarket companies that want big-firm capabilities with more personalized service.
Challenge Addressed: Slow, inconsistent client acceptance and risk evaluation
AI Application: AI-powered risk analysis systems that could:
Industry Development: Risk assessment automation has seen significant adoption, particularly among larger firms. According to the 2023 AICPA PCPS Top Issues Survey, firms investing in automated compliance and risk assessment tools report meaningful improvements in client acceptance efficiency, though quantitative data remains limited.
Marketing Opportunity: While compliance isn't typically a marketing highlight, positioning these capabilities as protecting client interests through partnership with reputable, thorough firms resonates with risk-conscious organizations and their boards.
Challenge Addressed: Suboptimal staff assignment and capacity planning
AI Application: Resource allocation systems that could:
Potential Application: While comprehensive AI-driven staffing remains emerging in accounting and professional services, firms are increasingly adopting more sophisticated resource management tools. These systems typically consider staff skills, availability, and client requirements to optimize team composition.
Marketing Opportunity: This capability supports marketing messages around consistency, expertise, and the firm's ability to bring the right specialists to each engagement—particularly compelling for complex multi-service relationships.
Challenge Addressed: Inefficient, opaque onboarding workflows
AI Application: Process mining and intelligence tools that could:
Industry Trend: Process intelligence technologies are increasingly being applied to professional services workflows. While specific implementations in client onboarding remain limited, the broader adoption of process mining in professional services suggests significant potential for application in this area.
Marketing Opportunity: For marketers, this capability supports messaging around operational excellence and the firm's commitment to continuous improvement—particularly appealing to clients who have experienced cumbersome processes with other providers.
Don't eat the whole elephant in one go. Let's walk through the steps.
Before implementing AI-driven onboarding, professional services firms should:
A phased approach to implementation is generally recommended:
Phase 1: Foundation Building
Phase 2: Intelligence Integration
Phase 3: Advanced Capabilities
AI implementation affects multiple stakeholders, requiring careful change management:
For Client-Facing Staff:
For Clients:
For Marketing and Business Development:
Effective measurement requires both operational and experience metrics:
Note: The following is a hypothetical scenario illustrating potential benefits based on industry trends rather than a specific documented case.
Consider how a midsize regional accounting firm serving midmarket clients might approach AI-enhanced onboarding:
Challenge: The firm struggles with seasonal capacity constraints, inconsistent onboarding experiences, and slower-than-desired service initiation.
Potential Solution: The firm could implement a phased AI transformation focusing on:
Potential Benefits: Based on industry trends and published research on professional services automation, such implementations could potentially yield:
While actual results would vary based on implementation quality, firm specifics, and existing processes, research from professional services technology providers suggests meaningful improvements are achievable.
For marketing leaders at professional services firms, AI-enhanced onboarding offers potential differentiation opportunities:
Value-Centric Positioning: Focus external communication on outcomes rather than technology. Instead of "AI-powered onboarding," emphasize "Frictionless client experiences" or "Faster time-to-value."
Targeted Benefit Articulation: Customize messaging based on buyer persona:
Experience Differentiation: Create clear contrast with traditional onboarding by focusing on improvements:
Client Experience Videos: Develop short videos demonstrating the streamlined onboarding experience compared to traditional processes.
ROI Calculators: Create interactive tools allowing prospects to estimate time and resource savings from enhanced onboarding.
Testimonial Campaigns: Feature client perspectives focusing on experience improvements and unexpected insights gained.
Sales Enablement: Develop demonstration capabilities allowing business developers to showcase the onboarding experience during pitches.
The application of AI to professional services onboarding continues to advance. Forward-looking firms should monitor several emerging developments:
Next-generation client interactions will leverage increasingly sophisticated conversational interfaces, potentially allowing more complex information gathering and advisory discussions during onboarding.
Advanced systems may predict relationship dynamics, recommending specific engagement strategies based on client communication preferences and decision-making patterns.
The distinction between onboarding and ongoing service may blur, with AI systems continuously adapting service delivery based on emerging client needs and behavior patterns.
AI systems will increasingly connect across traditionally siloed functions, potentially creating unified views of client relationships spanning marketing, business development, service delivery, and finance.
As AI transforms client onboarding, professional services leaders face several strategic imperatives:
For accounting and professional services firms, AI-enhanced onboarding represents not just an operational improvement but a potential reimagining of the client relationship journey. Those who successfully implement these capabilities may enjoy significant competitive advantages in efficiency, client experience, and service delivery—positioning them for leadership in an increasingly technology-driven professional services ecosystem.
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