Technology Value Creation for Private Equity
Identify, validate, and execute high-impact technology and AI opportunities that strengthen investment decisions and accelerate portfolio value creation.
Connecting Investment Strategy With Execution
10Pearls helps private equity teams turn technology and AI opportunities into practical value creation plans. We combine diligence, sector expertise, product strategy, data, AI, and engineering delivery to determine which initiatives can credibly support the investment thesis. Our teams evaluate execution readiness, define first priorities, and provide the expertise needed to move from pre-close assessment through implementation across portfolio companies.
Challenges we solve across portfolios
Unquantified technology value
Technology and AI opportunities are often identified during diligence but lack the evidence needed to support the investment case.
Limited execution capacity
Internal digital teams may understand the opportunity but lack the capacity or specialist expertise to move at the pace the ownership plan requires.
Misaligned delivery timelines
Operating and technology roadmaps often move on timelines that do not align with the investment thesis or private equity ownership period.
Dedicated post-close assessment
Value creation slows when teams repeat diligence work after close instead of moving directly into prioritization and execution.
AI pilots that fail to scale
AI initiatives often stall before production because governance, integration, data readiness, and operating ownership remain unresolved.
Disconnected technology roadmaps
Technology plans may address operational needs without clearly supporting portfolio priorities, scalability goals, or the investment thesis.
Value creation opportunity
Across assessed portfolios, 200-400 basis points of potential EBITDA impact may be deferred when technology opportunities are not fully validated or prioritized.
Private equity technology services
Technology & AI diligence
Assess technology risk, AI readiness, data foundations, and value opportunities before close to support confident investment decisions.
Value creation planning
Turn identified opportunities into a focused plan based on business impact, feasibility, dependencies, and execution readiness.
First 100-day planning
Define three to five priority initiatives with clear owners, delivery requirements, dependencies, and next steps for focused early execution.
Portfolio technology assessments
Evaluate portfolio companies, compare technology maturity, and identify opportunities across modernization, automation, data, and AI.
Cross-portfolio AI strategy
Identify repeatable AI opportunities across portfolio companies and create shared playbooks for governance, implementation, and adoption.
Execution & delivery support
Move recommendations into action through advisory, co-delivery, agile engineering teams, managed delivery, or transition to internal teams.
Why private equity teams choose 10Pearls
Strategy & delivery in one partner
Reduce handoffs by working with one team across diligence, strategy, product, AI, data, engineering, and implementation.
Investment-focused recommendations
Receive clear recommendations aligned with portfolio priorities, execution requirements, ownership timelines, and measurable operating outcomes.
Enterprise AI expertise
Apply generative AI, agentic workflows, and intelligent automation within governed enterprise and regulated environments.
Regulated industry experience
Navigate the security, data, workflow, and compliance demands of healthcare, financial services, energy, and telecommunications.
Global engineering capacity
Mobilize multidisciplinary teams through a global organization of more than 1,400 strategists, designers, engineers, and AI specialists.
Healthcare payer expertise
Apply payer and provider expertise across utilization management, care management, claims, clinical decision support, data, and interoperability.
Flexible engagement models
Use time-boxed assessments, co-delivery teams, handover models, or ongoing engineering support based on each portfolio company's needs.
How we assess technology & AI opportunities
Start with the investment thesis
Evaluate where technology, data, automation, and AI can support scalability, productivity, operating performance, and growth.
Assess sector-specific constraints
Incorporate regulatory requirements, workflow complexity, data limitations, security needs, and operating realities into the assessment.
Evaluate execution readiness
Review architecture, data, governance, leadership alignment, internal capacity, dependencies, and implementation complexity.
Classify each opportunity
Categorize initiatives as supported by strong evidence, requiring further validation, or better treated as longer-term potential.
Build investment-ready recommendations
Structure findings for investment committee discussions, operating plans, financial models, and first 100-day priorities.
What guides our assessment
Business value potential
Start with EBITDA, margin, scale, and growth, then find where technology can help.
Sector-specific realities
Regulatory, data, and workflow
constraints modeled, not hand-
waved.
Evidence-based confidence
Every initiative: underwritable, medium-confidence, or non-underwritable.
Investment decision relevance
IC-ready outputs that compress diligence and plug into deal models.
Why current approaches fall short
Traditional tech diligence produces risk reports, not investment theses.
Technology diligence today
- Identifies risk, tech debt, and scalability issues
- Produces long issue lists with no clear path to value
- Rarely answers the question that matters: what can we underwrite?
Commercial & Ops diligence
- Treats technology as an enabler, not a value lever
- Frames digital upside narratively, not quantitatively
- Lacks an integrated, compliance-aware view of value
What’s missing: A repeatable, execution-aware digital value model applied consistently across organizations.
Support across the deal lifecycle
underwrite
Pre-close
- Underwritable technology and AI diligence
- Mapping tech debt and AI readiness
- Embedded diligence support
execute
Post-close
- Target 3–5 use cases for first-100-day EBITDA impact
- Rapid-deploy playbooks for future acquisitions
- Full handover to internal teams
Existing portfolio
Existing portfolio
- Targeted assessments for owned assets
- Cross-portfolio scans and data insights
- Acceleration of stalled initiatives
The value portfolio heatmap
Distinguishing clear technology value from optional upside.
| Dimension | Underwritable | Conditional | Upside |
|---|---|---|---|
| Technology leverage | Modern, modular platforms | Mixed legacy | Fragmented |
| Direct EBITDA impact | RCM, labor-intensive | Moderate | Limited |
| Data & workflow readiness | Structured, repeatable | Partial availability | Unstructured, manual |
| Execution alignment | Decisive, aligned | Mixed | Resistant |
| Funding certainty | Budgeted | Competing | Constrained |
Our case studies
Healthcare - Case study
Accelerating Care Delivery with Intelligent Automation
Driving patient engagement, data visibility, and operational efficiency with Salesforce-driven solutions.
Technology - Case Study
Automating Fund Management to Strengthen Donor Trust
Digitally transforming global fund management to enhance transparency, accountability, and donor confidence through AI-driven automation.
Financial Services - Case Study
Intelligent Workflow Automation for Faster Financial Decisions
Modernizing financial operations through intelligent automation and real-time data visibility for faster, more accurate decision-making.
FAQs about private equity technology
What does technology due diligence include?
We assess technology risk, architecture, data readiness, security, AI maturity, execution capacity, and value creation opportunities that may support the investment thesis.
How is this different from traditional diligence?
Traditional diligence typically emphasizes risk. Our approach also tests business impact, implementation feasibility, execution dependencies, and ownership-period timing.
Can 10Pearls support delivery after diligence?
Yes. We provide advisory, co-delivery, managed engineering, and full implementation support from first 100-day planning through portfolio execution.
How does 10Pearls assess AI opportunities?
We evaluate workflow fit, business impact, data readiness, governance, security, technical feasibility, operating ownership, and adoption requirements.
Which industries does 10Pearls support?
We have deep experience in healthcare, financial services, energy, telecommunications, and other industries with complex operating and regulatory requirements.
Build an executable technology value plan
Whether you are evaluating an active deal, planning the first 100 days, or accelerating an existing portfolio initiative, 10Pearls can help move from opportunity to execution.