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Fund of the Future

Our Framework

Fund of the Future

Developing a Technology Strategy for PE Firms

Fund of the Future Use Cases

West Monroe Value Offerings

Headlines

Colors

Typography

Bodycopy - 18pt

Headline 1 - 42pt

Headline 2 - 34pt

Headline 4 - 24pt

Headline 5 - 16pt, all cap

Bodycopy

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headline 3 - 30pt

INTERNAL

EXTERNAL

RESTRICTED BY LOCATION

ANY LOCATION

$383M

Source to Pay Org

$119M

Professional Services

$440M

Contingent Workforce

$110M

F&A Outsourcing

$35M

Application Development

West Monroe Value Proposition

We help clients transform operations by thinking about talent multi-dimensionally - employee, outsourced, contingent, and automation

We look to establish long-term, mutually beneficial relationships between clients and providers – not just optimize terms, rates, etc.

We provide transparency throughout the provider-engagement process, whether competitive or sole-sourced

We understand the client has accountability and responsibilities to make the partnership succeed; we work with them to prepare their teams for this

Our full life-cycle focus means we’ve been on-the-ground with our clients and providers – we apply those learnings across all our engagements

Periodic briefings

Joint market-facing (e.g., research, surveys, webinars)

Client refferals

Business Service Outsourcing

IT Outsourcing

System Integration

INTERNAL

EXTERNAL

Outsourcer

Contingent

Automation

Employee

$$$$

$$$

RESTRICTED BY LOCATION

ANY LOCATION

There are 4 types of talent

$200M

Application Maintenance & Service Desk

$40-96M

Development & Delivery Services

$52M

Digital Workplace

Value we unlocked AFTER clients had optimized the category

1 Client, 5 Transformational Project

PROJECTED SAVINGS over 5 years

$1,100M+

1 Client, 3 Transformational Projects

PROJECTED SAVINGS over 3 years

$300M+

Experience

Tailored Tech Strategies

Custom tech strategies for PE funds of all sizes.

Speed to Value

Rapid value realization through modern data platforms.

Different talent types are ideally suited to deliver different kinds of work

Aligning work with the talent type best suited to deliver it unlocks material value

We help quantify that value and help clients capture it

There are 4 types of talent

Private equity firms have relied on established toolsets for 30 years but now face challenges adapting to new complexities like managing larger portfolios, global footprints, investing in new sectors, and evolving LP requirements. To stay competitive and efficient, private equity firms must address these key challenges.

Technology, Data, and AI Strategy

Private equity firms need a strategy to unlock their data's value. This can take 6 to 18 months, so using select Commercial Off-The-Shelf (COTS) tools in parallel helps familiarize professionals with new workflows and create data use cases. Unlocking portfolio data enhances investment value through comparative analysis and data science models. Advanced funds will use bespoke AI tools for AI-assisted investing like deal-scoring.

Building data consolidation, reporting at the fund level, and providing it to portfolio companies offers several benefits:

PE firms gain visibility into investment performance

Reduces effort, time, and costs at each investment

Justifies direct access to investment financial and operational data

Fund of the Future: Key Roadmap Steps

Investment Opportunity Management

Enterprise Search 

Investor Relations

Reducing Time on Repetitive Tasks

Real-Time Reporting

Experience

20+ years serving hundreds of private equity clients.

Tailored Tech Strategies

Custom tech strategies for PE funds of all sizes.

Tech strategy realization can be self-funding through cost avoidance and establishing a Data-as-a-Service (DaaS) entity.

Cross-Portfolio Insights

Indirect Data Monetization of portfolio company data

Summarization of documentation

Digital Underwriting

Secure Chat Capability

Experience

Tailored Tech Strategies

Speed to Value

Unique Partnership Model

Data Science Expertise

20+ years serving hundreds of private equity clients

Custom strategies for PE funds of all sizes

Rapid value realization through modern data platforms

Innovative partnerships within the PE tech ecosystem

Deploying data science factories to create significant investment value

Keith Campbell

Bespoke AI

Data Aggregation

Hyperscale

Service Layer (West Monroe)

Vertical Solutions

Deal Scoring

What-If/Scenario Analysis

ML Ops for PortCos

Lab to factory conversions, enabling a Data Science Center of Excellence (CoE)

Better Utilization of Third-Party Tools

Development of a Modern Data Platform

Expanding the Modern Data Platform to AI/ML Use Cases

PE Technology Ecosystems

Leveraging prior internal work on a sub-sector/market Investor Relations

Data Aggregation

LBO Models

Subscriptions

File Extras

Portcos

Data Aggregation

Risk of Disruption:

New AI-enabled vs. AI-drivenfunds pose a competitive threat.

Efficiency Needs:

With stagnant or shrinking fund sizes, firms must do more with less.

Underutilized Data:

Firms are not fully leveraging the vast data available to them.

Tech Strategy Gaps:

Funds often use tools ad-hoc with a comprehensive technology, data, and AI strategy.

Reporting Issues:

Portfolio companies often lack proper reporting tools and clear KPIs/KPEs, affecting decision-making.

Turning these challenges into strengths can be accomplished with incremental investment and quickly become a self-funding program

Automated target screening tools allow web interfaces to quickly develop customized search criteria. Analyst teams can identify thousands of targets, shortlisting using weighted criteria and Natural Language Processing (NLP), to reduce time spent from traditional methods by 50 to 60 percent. (Accenture – M&A Analytics)

Asset managers can reduce their cross-portfolio reporting costs by up to 75% by leveraging AI technology. By training AI to analyze documents in various formats and compile the information into a consistent format, they can significantly decrease both time and errors.

Only 4% of PE executives (nearly 1 out of 20) believe their firms are highly effective in employing data analytics, with 47% highlighting a disconnection between insights from data and their firm’s strategic objectives, and 19% citing data quality and maintenance as a key challenge to adopt AI.

The proportion of funds relying entirely on external partners – vs. 40% leveraging a hybrid approach and 18% developing entirely AI in-house. 15% of funds find understanding costs and building a business case a challenge to further invest in AI.

In the next 2 years the proportion of PE firms using AI to enable their operations is set to rise to 66%

Improves decision-making efficiency, increasing deal closure rates.

BENEFITS

AI-driven evaluation and prioritization of investment opportunities.

DESCRIPTION

Data Aggregation

LBO Models

Subscriptions

File Extras

Portcos

Data Aggregation

Bespoke AI

Data Aggregation

Hyperscale

Service Layer (West Monroe)

Vertical Solutions

PE Technology Ecosystems

Deal Scoring

What-If/Scenario Analysis

ML Ops for PortCos

Lab to factory conversions, enabling a Data Science Center of Excellence (CoE)

Expanding the Modern Data Platform to AI/ML Use Cases

Real-Time Reporting

Cross-Portfolio Insights

Indirect Data Monetization of portfolio company data

Development of a Modern Data Platform

Better Utilization of Third-Party Tools

(Click on each highlighted element to show information)

Investment Opportunity Management

Enhances productivity by reducing time spent on information retrieval.

BENEFITS

AI-powered search across all company documents and databases.

DESCRIPTION

Enterprise Search

Enhances productivity by reducing time spent on information retrieval.

BENEFITS

AI-powered search across all company documents and databases.

DESCRIPTION

Digital Underwriting

Strengthens investor trust and engagement through timely, tailored updates.

BENEFITS

AI-based management and personalization of communications with investors.

DESCRIPTION

Investor Relations

Ensures data privacy and compliance, fostering secure information exchange.

BENEFITS

Encrypted AI-enabled messaging platform for confidential communications.

DESCRIPTION

Secure Chat Capability

Saves time and enhances comprehension, aiding quicker decision-making.

BENEFITS

AI-driven summarization of lengthy documents and reports.

DESCRIPTION

Summarization of Documents

Improves efficiency and accuracy in retrieving necessary documents.

BENEFITS

AI-enhanced search functionality to find relevant documents rapidly.

DESCRIPTION

Document Search

Provides timely insights, facilitating agile business responses.

BENEFITS

Automated generation and updating of financial and operational reports using AI.

DESCRIPTION

Real-Time Reporting

Enhances strategic planning and value creation across the portfolio.

BENEFITS

AI analysis of data across portfolio companies to identify trends and opportunities.

DESCRIPTION

Cross-Portfolio Insights

Creates new revenue streams without additional operational costs.

BENEFITS

Leveraging portfolio company data for indirect revenue generation through AI insights.

DESCRIPTION

Indirect Data Monetization of Portco Data

Enhances objectivity and speed in deal assessments, improving success rates.

BENEFITS

AI-driven scoring system for evaluating potential deals.

DESCRIPTION

Deal Scoring

Supports strategic planning by predicting impacts of different decisions.

BENEFITS

AI-enabled simulation of various business scenarios and outcomes.

DESCRIPTION

What If/Scenario Analysis

Streamlines deployment and monitoring of AI models, driving operational efficiencies.

BENEFITS

Implementation of machine learning operations to optimize portfolio company performance.

DESCRIPTION

ML Ops for Portcos

Better Utilization of Third-Party Tools

Development of aModern Data Platform

Expanding the Modern Data Platform to AI/ML Use Cases

Better Utilization of Third-Party Tools

Development of aModern Data Platform

Expanding the Modern Data Platform to AI/ML Use Cases

CURRENT USERS

NON USERS

33%

37%

30%

FUTURE USERS

14%

PE VALUE CHAIN – MACRO USE CASES

INCREASE FUND EFFICIENCY WITH AI-ASSISTED INVESTING

INCREASE PORTFOLIO VALUE WITH DATA CAPABILIITES

Deal Sourcing and Screening

Deal Evaluation & Acquisition

Value Creation During Holding Period

Exit Preparation

Foundation

Advanced

Mature

Foundation

Pipeline Mgmt.

Digital LBO

Talk with your Docs

Financial Consolidation

Sell Side Data Cube

Deal Scoring

Operational Reporting

Investment Memo Creation

Target Sourcing

ML/AI COE at Portfolio Companies

Automated Due Diligence

Buyer Sourcing

(Click on each highlighted element to show information)

Key Steps for Roadmap

Brad Haller

Efficiency Needs:

Reporting Issues:

Underutilized Data:

Tech Strategy Gaps:

Risk of Disruption:

Efficiency Needs:

Reporting Issues:

Underutilized Data:

Tech Strategy Gaps:

Risk of Disruption:

West Monroe Value Offerings

Key Steps for Roadmap

Fund of the Future Use Cases

Fund of the Future

Developing a Technology Strategy for PE Firms

Fund of the Future

External Data Source

(e.g., raw material pricing, credit card data, Experian, demographics)

The PE firm can use its data to create revenue-generating products for the investment space, such as advanced deal screening tools, portfolio analytics, and automated reporting systems. These products enhance efficiency, decision-making, and position the firm as an innovation leader.

Products

LPs Portal

VC Assistant/ Process Mining

PortCo1Systems

PortCo1Reporting & Analytics

PortCo2Systems

PortCo2Reporting & Analytics

PortCo3Systems

PortCo3Reporting & Analytics

AI/ML Factory

Data Lakehouse

Internal Apps/Interfaces

LP reporting is streamlined with automated FAQs, chatbots, and regular reporting, providing timely updates and real-time insights, enhancing transparency and engagement.

The PE firm’s data lakehouse integrates diverse data to improve investment activities and uncover early value. Currently, AI/ML efforts are siloed, but data sharing across the portfolio can create synergies, amplifying value creation.

The AI/ML factory develops models from this data, deploying them to portfolio companies. This continuous feedback loop drives ongoing improvements and reinforces the value creation strategy.

A process mining solution on top of the lakehouse analyzes these inputs, identifying inefficiencies and opportunities for value creation.

The PE firm's data lakehouse serves as a central hub, where all portfolio companies’ systems feed into a unified data infrastructure.

Each portfolio company has created a custom data lakehouse and AI/ML engine to support their unique goals, driving data-driven decisions and growth.

Generative AI is revolutionizing private equity by streamlining due diligence, portfolio management, and deal sourcing. A focus on RAG architecture and data lakehouses helps overcome challenges, while a hybrid approach ensures data privacy.

Connect With Us Today

A matter of trust.

Helping dental payers be the partner dental providers want by making their work more predictable, profitable, and personally fulfilling.

Our mission was to explore and understand how providers define best in class service, experience, and value at key touchpoints as they interact with various payers in the market, and intentionally design services to exceed those expectations.

Case Study

Service & Experience Design

Our Approach

We leveraged a human-centered approach to explore the problem space and identify challenges and opportunities.

We also conducted extensive research inclusive of interviews, an ethnographic study, and a follow up survey with a diverse set of dental providers. 73 Provider Interviews 35 Clinical Staff Interviews 40 Admin Staff Interviews

This resulted in a sprint-based co-creation approach with a cross-discipline team 4 Future-State Journey Maps 29 Prototypes 5 Primary Concepts

• • •

Let us show you a bit of what we developed

The Impact

While the results of these changes won’t come until they are implemented, there are expectations of increases in measurable value for customers, employees, and the organization.

FINANCIAL OUTCOMES

CUSTOMER EXPERIENCE

OPERATIONAL EFFICIENCY

EMPLOYEE EXPERIENCE

Provider Conversion Rate Operational Costs Network Growth & Retention

Satisfaction Effort Time to Patients

Turnaround Time Data Quality & Accuracy Temp Headcount

Satisfaction Time for Manual Tasks

Product Strategy

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Catch-up or get left behind.

Helping our clients transform outdated digital products and experiences to ones that resonate in the current market.

The Health Advocacy market was being disrupted by digital-first startups, putting pressure on the organization’s legacy business and causing a decline in their overall market share for the first time in over ten years. Business needed a new vision, a clear strategy to win, and a team to help lead them through this massive transformation.

Case Study

Product Strategy

Our Approach

Our team led the overall vision and strategy, defining a new future and plan to re-gain market leadership. Post strategy definition, we led the design/delivery of core digital products and transformed the internal culture to new ways of working.

Defined un-met needs within current advocacy services Identified a clear strategy on how-to-win Led a re-positioning of the digital product/service, including the creation of all GTM materials

• • •

The Impact

Re-gained market leading position, landed their biggest client ever (450,000 covered lives) and fundamentally transformed the way they work:

Product Design + Build

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• • •

Supported executive leaders in securing the largest account ever (450k covered lives) Led discovery & delivery efforts for internal Agent Tools; included consolidating 11 disparate systems into one Managed an internal team of over 150 people across digital product management, design, and engineering

Achieved 25% YOY revenue growth

Decreasing advocate training time by over 90%

Set the new standard for Health Outcomes (2x industry average)

Big changes needed.

Helping our clients create digital-first primary care experiences which promote trust and engagement to drive the desired impact.

After a recent merger, our client needed to consolidate their technology stack, increase patient engagement, and strengthen their brand. They believed they needed to engage at least 40% of members to impact population health. We helped them build the foundation for a new mobile app as well as a digital operating model that would help them learn, deliver, and iterate on the needs of their patients and providers.

Case Study

DIGITAL PRODUCT DESIGN & BUILD

Our Approach

The Impact

By the end of the engagement, we were able to deliver not only a foundation for a new digital product, but a foundation for collaboration across the organization. Survey results from our early access beta release showed overwhelming positive feedback on the overall user experience with regards to the mobile app:

High performing Product Org

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We approached our goals from the perspective of alignment on outcomes rather than output. We utilized a phased approach to address the following business goals:

Foundation for a new digital product

• • •

Designed & built value-driven features to increase patient engagement Crafted cohesive brand, voice, and tone for mobile Created a flexible and scalable design system Set up in-app analytics to test and learn from users

Foundation for a new digital product organization

Defined consistent and functional processes for designing and developing digital products Identified owner for managing consistency between teams and/or across the organization Established focus on an outcomes-driven digital product

• • •

98%

96%

98%

Easy to sign in

Easy to schedule an appointment

Would recommend the app

Growth starts from within.

Supporting clients on their journey to transform the way they work from a traditional to a digital operating model.

We led a multi-year transformation to help a large healthcare payer and provider evolve from a project-based organization to a high performing digital product organization. Not only did we help design, build and release new digital products – we helped build the internal skills and ways of working needed to be successful long-term.

Case Study

High performing Product Org

Our Approach

The Impact

We acted as both the strategic partner a long-term, integrated digital product operating model & roadmap. We subsequently enabled & executed the new digital product operating model (teams) to help accelerate their digital product maturity

Service & Experience Design

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How we helped a project-led organization transform into a high-performing digital product organization:

• • • • •

Supported re-platforming from on-prem to Google Cloud Co-led the design and delivery of the new digital products and experiences (led a team of 200+) Established internal benchmarks and strategy to improve overall digital and digital product maturity Built and implemented a new digital operating model (DOM) and established new digital product-led ways of working Facilitated c-suite strategy and alignment to support overall multi-year digital transformation

Aligned 100+ Digital Assets and Resources Across Key 10+ Journeys Based On Constituent Needs/Wants

Increased Speed To Market

Moved Executive Funding And Delivery Oversight From Feature-based To Output-based

Increased Ability To Scale