Value-Creation Engineering: Adding 2x Multiple Through Tech Modernisation

Table of Contents

1. Why Tech Modernisation Drives Exit Multiples
2. The Value-Creation Engineering Framework
3. Platform Re-Engineering: The Foundation
4. AI-Driven Cost-Out: The Multiplier Effect
5. Revenue Acceleration Through Modern Tech
6. Security, Compliance, and De-Risking
7. Real PE Playbook: Structuring the Modernisation
8. Measuring Value Creation: Metrics That Matter
9. Common Pitfalls and How to Avoid Them
10. Getting Started: Your Modernisation Roadmap

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Why Tech Modernisation Drives Exit Multiples

When a private equity firm acquires a mid-market business, the tech stack is often the first thing they scrutinise. Not because they care about the brand of the database or the elegance of the code—they care because outdated technology directly depresses EBITDA multiples at exit.

Here’s the reality: a business running on legacy monoliths, manual processes, and fragmented systems is seen as risky, expensive to operate, and hard to scale. Buyers discount valuations accordingly. But a business that has modernised its platform, automated its core workflows, and built security compliance into its DNA commands a premium.

The numbers are compelling. Technology-modernization projects: Defining and delivering value shows that businesses investing in platform modernisation see cost reductions of 20–40%, revenue acceleration of 15–30%, and operational efficiency gains that directly flow to the bottom line. For PE-backed businesses, this translates to 0.5–1.5x additional EBITDA multiple at exit.

Value-creation engineering is the discipline of identifying, sequencing, and executing technology investments that maximise this lift. It’s not about building the most impressive tech stack. It’s about building the tech stack that buyers want to own—one that generates cash, scales efficiently, and carries no regulatory landmines.

PADISO works with PE firms and their portfolio companies to architect and deliver these modernisations. We’ve helped 50+ businesses generate $100M+ in revenue through strategic AI implementation and technology leadership, and we’ve seen firsthand how the right tech modernisation can unlock 2x multiple expansion at exit.

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The Value-Creation Engineering Framework

Value-creation engineering sits at the intersection of three disciplines: platform architecture, financial engineering, and operational strategy.

Unlike traditional software development (which optimises for features or user experience) or pure cost-cutting (which optimises for short-term savings), value-creation engineering optimises for one metric: exit multiple expansion.

This changes everything about how you prioritise work.

The Three Pillars of Value Creation

Pillar 1: Cost-Out Efficiency

The most direct path to multiple expansion is EBITDA growth through cost reduction. This happens through automation, platform consolidation, and operational redesign.

A typical PE-backed business spends 15–25% of revenue on technology operations: headcount, tools, infrastructure, and manual processes. Value-creation engineering targets this cost base. By automating customer service workflows, consolidating fragmented systems, and moving from custom-built to configurable platforms, you can cut this cost base by 25–40% without sacrificing capability.

For a $50M revenue business with 20% tech cost base ($10M), a 30% reduction means $3M in additional EBITDA. At a 10x multiple, that’s a $30M valuation lift.

Pillar 2: Revenue Acceleration

Modern platforms enable revenue growth that legacy systems cannot support. This includes:

• Personalisation at scale: Using AI to deliver differentiated customer experiences without manual effort
• Market expansion: Enabling new geographies, verticals, or customer segments through scalable infrastructure
• Pricing optimisation: Data-driven pricing engines that capture willingness to pay
• New revenue streams: Digital products, APIs, or data-driven services built on modern foundations

From Pipes to Platforms: Digital Value Creation explores how platform-based businesses command premium valuations because they generate network effects and recurring revenue. A business that shifts from transactional to platform-based revenue sees multiple expansion simply from the revenue model change.

Pillar 3: Risk Reduction and De-Risking

Buyers pay a premium for businesses with low technical debt, clear regulatory compliance, and scalable operations. This is the “de-risking” pillar.

Legacy systems carry hidden risks: regulatory exposure, security vulnerabilities, key-person dependencies, and technical debt that will cost the buyer millions to remediate. By proactively addressing these risks—through security audit, compliance readiness, and platform modernisation—you remove the discount buyers apply.

A business that passes SOC 2 compliance and ISO 27001 audit readiness is seen as enterprise-grade and buyer-friendly. A business with clear API contracts and documented system architecture is seen as scalable. These are not features; they are multiple expanders.

The Sequencing Problem

Most modernisation programmes fail because they try to do everything at once. Value-creation engineering is ruthless about sequencing.

You don’t modernise to perfection. You modernise in waves, each wave designed to unlock specific value:

1. Wave 1 (Months 0–3): Quick wins. Identify the 2–3 highest-impact automation opportunities and deliver them fast. Target: 10–15% cost reduction, quick EBITDA lift, board confidence.

2. Wave 2 (Months 3–6): Platform consolidation. Retire redundant systems, consolidate data, build a unified operational spine. Target: another 10–15% cost reduction, improved data quality, revenue acceleration foundation.

3. Wave 3 (Months 6–12): Revenue acceleration and scaling. Build new capabilities on the modern platform: personalisation, new channels, pricing engines. Target: 10–20% revenue growth, improved unit economics.

4. Wave 4 (Months 12–18): Compliance and de-risking. Formalise security, achieve compliance certifications, document architecture. Target: buyer confidence, multiple expansion.

This sequencing is critical. You need early wins to fund later work, build momentum, and prove the case internally. You need platform consolidation before revenue acceleration (you can’t scale on broken foundations). And you need compliance work last, when the business is stable and you understand your final architecture.

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Platform Re-Engineering: The Foundation

Platform re-engineering is the structural work that underpins all value creation. It’s not glamorous, but it’s essential.

Most mid-market businesses run on a patchwork of systems: a legacy monolith for core transactions, a separate data warehouse, point solutions for specific functions (CRM, ERP, marketing automation), and a web of custom integrations and manual processes.

This architecture is expensive to operate, hard to scale, and creates silos that prevent the business from acting as a unified entity.

The Case for Platform Consolidation

Platform consolidation means moving from a fragmented system landscape to a unified, modern operating platform. This might mean:

• Replacing a legacy ERP with a cloud-native alternative (SAP S/4HANA, NetSuite, Workday)
• Consolidating customer data into a single CDP (customer data platform)
• Moving from on-premise infrastructure to cloud (AWS, Azure, GCP)
• Building a unified API layer that allows systems to communicate cleanly
• Retiring redundant point solutions

The financial impact is dramatic. Value creation through technology: strategies for Private Equity firms outlines how PE firms use platform consolidation to unlock 15–25% cost reductions and enable revenue acceleration.

Why? Because consolidation eliminates:

• Redundant headcount: Data entry, manual reconciliation, system administration across multiple platforms
• Redundant licensing: You’re paying for 5 separate CRM licenses when you need 1
• Integration costs: Expensive custom code that glues systems together
• Operational friction: Sales teams working in one system, finance in another, customer service in a third

For a $100M revenue business, platform consolidation typically costs $2–5M and delivers $5–10M in annual savings and revenue uplift. That’s a 1–2 year payback with permanent EBITDA expansion.

Cloud Migration as Value Creation

Moving from on-premise infrastructure to cloud is not just a cost play—it’s a value-creation play.

On-premise infrastructure requires:

• Capital expenditure (servers, storage, networking)
• Ongoing operational headcount (sysadmins, network engineers, DBAs)
• Datacenter costs (power, cooling, space)
• Upgrade cycles and technical debt accumulation

Cloud infrastructure is:

• Opex-based (pay for what you use)
• Managed by the cloud provider (no operational headcount)
• Automatically scaled and upgraded
• Built with security and compliance baked in

The shift from capex to opex improves both EBITDA (lower operating costs) and cash flow (no capital outlays). For a business with $5M in annual infrastructure costs, cloud migration can reduce this to $2–3M while improving reliability and security.

Building for Scalability

Modern platforms are designed to scale. This means:

• Microservices architecture: Rather than a monolith, the system is composed of independent services that can scale independently
• Event-driven design: Systems communicate through events, not direct calls, allowing decoupling and scale
• API-first design: Every function is exposed as an API, enabling integration and new revenue streams
• Data architecture for analytics: Data is captured, cleaned, and made available for analytics and AI without manual ETL

These architectural choices enable revenue acceleration. Once your customer data is unified and clean, you can build personalisation engines. Once your transaction system is event-driven, you can add new channels. Once your APIs are clean, you can launch partner integrations.

PADISO’s Platform Design & Engineering service focuses on exactly this: designing and building platforms that are operationally efficient, scalable, and revenue-enabling. We work with PE firms and their portfolio companies to architect platforms that support 3–5 year growth plans without requiring another platform rebuild.

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AI-Driven Cost-Out: The Multiplier Effect

While platform consolidation is the foundation, AI-driven automation is the multiplier.

AI allows you to automate workflows that were previously manual or semi-manual. This creates a second wave of cost reduction on top of platform consolidation.

Where AI Automation Drives Value

Not all AI is created equal. Value-creation engineering focuses on AI applications that have clear, measurable ROI:

Customer Service Automation

Customer service is often 8–15% of operating costs for service-heavy businesses. AI Automation for Customer Service: Chatbots, Virtual Assistants, and Beyond shows how AI chatbots and virtual assistants can handle 40–60% of inbound queries without human intervention, reducing headcount by 20–30% while improving response times.

For a business with $10M in annual customer service costs, a 25% reduction means $2.5M in EBITDA lift.

Finance and Accounting Automation

Finance and accounting involves significant manual work: invoice processing, expense categorisation, reconciliation, reporting. AI can automate 50–70% of this work through intelligent document processing and robotic process automation (RPA).

A typical finance team of 8–10 people can be reduced to 4–5 with AI automation, delivering $500K–$1M in annual savings for a mid-market business.

Sales and Marketing Automation

AI Automation for E-commerce: Personalization and Recommendation Engines demonstrates how AI-driven personalisation increases conversion rates by 15–30% and average order value by 20–40%. For a $50M revenue e-commerce business, a 20% conversion rate improvement and 25% AOV increase means $5–10M in incremental revenue.

Fraud Detection and Risk Management

AI Automation for Financial Services: Fraud Detection and Risk Management shows how AI fraud detection systems reduce fraud losses by 40–60% while reducing false positives and operational overhead. For a financial services business with $2M in annual fraud losses, a 50% reduction is $1M in EBITDA lift.

Healthcare and Diagnostics

AI Automation for Healthcare: Diagnostic Tools and Patient Care outlines how AI diagnostic tools improve accuracy, reduce clinician time, and enable new service models. Hospitals using AI-assisted diagnostics see 15–25% improvements in throughput and 10–20% cost reductions in diagnostic departments.

The Implementation Reality

AI automation sounds great in theory. In practice, it requires:

1. Clean data: You can’t train AI on garbage data. Platform consolidation (step 1) ensures you have clean, unified data.

2. Clear workflows: You need to understand your current workflows before you can automate them. This requires process mapping and operational discipline.

3. Change management: Automation changes jobs. You need to plan for redeployment, retraining, and stakeholder buy-in.

4. Measurement discipline: You need to track automation ROI rigorously. How many manual steps were eliminated? How much time was saved? What’s the cost per transaction before and after?

PADISO’s AI & Agents Automation service handles this end-to-end. We don’t just build AI models; we design automation workflows, implement them in your systems, and measure the ROI. We’ve seen businesses achieve 25–40% cost reductions in target processes through systematic AI automation.

The Agentic AI Opportunity

Traditional AI automation handles specific tasks (classify this invoice, detect this fraud, recommend this product). Agentic AI goes further: it coordinates multiple systems and decisions to complete end-to-end workflows.

For example, an agentic AI system might:

1. Receive a customer support ticket
2. Analyse the issue
3. Check inventory and order status
4. Initiate a refund or replacement
5. Update the customer
6. Log the interaction for analytics

All without human intervention. This is where the real cost-out happens. Rather than automating individual steps, you automate entire workflows, reducing headcount by 40–60% in target functions.

AI Strategy & Readiness is where we help businesses think through agentic AI opportunities and build roadmaps to capture them.

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Revenue Acceleration Through Modern Tech

Cost-out is the most direct path to multiple expansion, but revenue acceleration is equally important.

A business that grows revenue 15–20% per year while maintaining margins commands a higher multiple than a business that cuts costs but stagnates. The combination—cost reduction + revenue acceleration—is where true value creation happens.

Personalisation and Customer Experience

Modern platforms enable personalisation at scale. Using unified customer data, machine learning, and real-time decision engines, you can deliver differentiated experiences to every customer without manual effort.

This drives revenue through:

• Increased conversion rates: Personalised product recommendations, dynamic pricing, and targeted messaging increase conversion by 15–30%
• Increased customer lifetime value: Personalised experiences improve retention and upsell, increasing LTV by 20–40%
• Reduced churn: Understanding customer behaviour and intervening proactively reduces churn by 10–20%

For a SaaS business with $50M ARR, a 20% improvement in net retention rate (from 100% to 120%) means $10M in incremental ARR over 3 years—a massive multiple expansion.

New Revenue Streams

Modern platforms enable new revenue models:

• API monetisation: Expose your core capabilities as APIs and charge partners for access
• Data products: Aggregate and anonymise customer data into products that partners will pay for
• Marketplace models: Build a platform where third parties can sell to your customers
• Subscription tiers: Unbundle your monolithic product into modular subscription tiers

Each of these requires a modern, API-first platform. A business that can launch a new revenue stream in 6 months (because it has a modern platform) versus 18 months (because it’s stuck on legacy systems) is worth significantly more.

Operational Leverage

Modern platforms enable operational leverage: the ability to grow revenue without proportional headcount growth.

A business running on legacy systems needs to hire 1 person for every $500K in incremental revenue (because so much work is manual). A business running on a modern, automated platform might need to hire 1 person for every $2M in incremental revenue.

This is the difference between 60% gross margins and 80% gross margins. Over a 5-year period, this difference compounds dramatically.

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Security, Compliance, and De-Risking

Buyers care deeply about regulatory risk. A business that fails a SOC 2 audit or has security vulnerabilities is a liability, not an asset.

Value-creation engineering includes a systematic compliance and security programme.

SOC 2 and ISO 27001 as Value Multipliers

SOC 2 (Service Organization Control) and ISO 27001 (Information Security Management System) are not just compliance checkboxes. They are signals to buyers that:

• Your security practices are documented and auditable
• Your infrastructure is enterprise-grade
• You can serve large enterprise customers (many require SOC 2 compliance)
• Your operational risk is managed and transparent

A business that achieves SOC 2 Type II certification can often command a 5–10% valuation premium because it unlocks enterprise sales and reduces buyer risk.

PADISO’s Security Audit (SOC 2 / ISO 27001) service works with businesses to design and implement the controls needed for compliance. We use Vanta to automate evidence collection and audit readiness, reducing the operational burden and cost of compliance.

Technical Debt as Valuation Risk

Technical debt is code that works but is poorly documented, fragile, and hard to maintain. It’s a hidden liability that buyers will demand a discount for.

Value-creation engineering includes a technical debt remediation programme:

• Code quality: Implement automated testing, code reviews, and quality gates
• Documentation: Document system architecture, APIs, and operational procedures
• Dependency management: Upgrade outdated libraries and frameworks to reduce security vulnerabilities
• Operational runbooks: Document how to operate, troubleshoot, and scale each system

This work doesn’t generate immediate revenue, but it removes valuation discounts. A business with clean code, documented architecture, and current dependencies might command a 0.5–1x multiple premium.

Key-Person Dependencies

Buyers are nervous about businesses where critical knowledge lives in one person’s head. Value-creation engineering includes knowledge transfer and operational documentation to reduce key-person risk.

This means:

• Documenting critical processes and decisions
• Cross-training team members
• Building operational dashboards and alerts so the business can be run by multiple people
• Automating decisions that currently require manual judgment

A business that can be run by a competent operations team (rather than depending on a technical founder) is worth significantly more.

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Real PE Playbook: Structuring the Modernisation

How do PE firms actually structure and execute tech modernisation programmes? Here’s the playbook.

The 100-Day Plan

In the first 100 days post-acquisition, the PE firm and management team develop a detailed modernisation plan:

1. Diagnostic phase (Days 1–30):

• Map the current technology landscape - Identify the highest-impact modernisation opportunities - Assess technical debt and security risks - Interview key stakeholders to understand pain points

1. Planning phase (Days 30–60):

• Develop a 3–5 year technology roadmap - Sequence modernisation initiatives by ROI and dependencies - Estimate costs and benefits for each initiative - Identify quick wins (initiatives that deliver ROI in 3–6 months)

1. Execution planning (Days 60–100):

• Finalise the first wave of initiatives - Hire or contract the technical leadership and execution teams - Secure funding and board approval - Begin execution on quick wins

The role of tech assets in value creation strategy outlines how PE firms use this structured approach to systematically unlock value.

Sourcing Technical Leadership

The biggest challenge in executing tech modernisation is sourcing experienced technical leadership. You need:

• A CTO or VP Engineering who understands both the business and modern technology
• Architects who can design the target platform
• Engineering leaders who can execute at scale
• Security and compliance specialists

Many PE firms use a fractional CTO model, bringing in experienced technical leadership on a part-time basis to oversee the modernisation. This provides the expertise and judgment needed without committing to a full-time hire.

PADISO’s CTO as a Service offering serves exactly this need. We embed experienced CTOs into portfolio companies to lead modernisation programmes, architect platforms, and build high-performing engineering teams. We’ve led modernisation programmes at 50+ businesses, ranging from $10M to $500M+ in revenue.

Building vs. Buying

For each capability, the PE team must decide: build (custom software), buy (COTS software), or partner (SaaS).

The decision framework is:

• Build if the capability is a core competitive advantage and can’t be bought
• Buy if a good commercial solution exists and the business doesn’t depend on it
• Partner if you need the capability but want to avoid operational burden

Most PE-backed modernisations involve a mix of all three. You might buy a cloud ERP (like NetSuite), partner with a SaaS marketing automation platform, and build a custom recommendation engine that’s core to your competitive advantage.

Vendor Selection and Negotiation

When buying or partnering, vendor selection is critical. You’re not just buying software; you’re choosing a strategic partner for the next 5+ years.

Key evaluation criteria:

• Product roadmap alignment: Does the vendor’s roadmap align with your 5-year plan?
• Integration capability: Can it integrate cleanly with your other systems?
• Scalability: Can it scale to your projected growth?
• Support and SLAs: What level of support do you get, and what are the uptime guarantees?
• Pricing and commercial terms: What’s the total cost of ownership, including implementation, training, and ongoing support?

PE firms often use procurement specialists to negotiate vendor terms. A 20–30% reduction in software licensing costs across a portfolio of 5–10 companies can save millions.

Managing Implementation Risk

Technology implementations are risky. The biggest risks are:

1. Scope creep: The project expands beyond its original scope, blowing budget and timeline
2. Integration challenges: Systems don’t integrate as expected, requiring custom code and workarounds
3. Data migration issues: Data quality problems make migration harder than expected
4. Change management failure: The organisation doesn’t adopt the new systems, so benefits don’t materialise
5. Key resource unavailability: Critical people leave, slowing execution

Value-creation engineering mitigates these risks through:

• Strict scope management: Defining what’s in and out of scope upfront
• Phased implementation: Rolling out in waves rather than a big bang
• Parallel running: Running old and new systems in parallel during transition
• Change management discipline: Investing in training, communication, and stakeholder engagement
• Contingency planning: Building buffer into timelines and budgets

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Measuring Value Creation: Metrics That Matter

Value creation is only real if you can measure it. Here are the metrics that matter.

EBITDA Expansion

The primary metric is EBITDA expansion: how much additional EBITDA did the modernisation generate?

This includes:

• Cost reduction: Headcount eliminated, tools consolidated, processes automated
• Revenue growth: Incremental revenue from new capabilities, personalisation, or new markets
• Margin improvement: Gross margin expansion from operational efficiency

For a $100M revenue business, a 5% EBITDA expansion (from 20% to 25%) means $5M in additional EBITDA. At a 10x multiple, that’s a $50M valuation lift.

Multiple Expansion

The secondary metric is multiple expansion: how much did the exit multiple improve?

This is harder to measure until exit, but you can estimate it by benchmarking against comparable businesses:

• Comparable businesses in your industry (what multiple are they trading at?)
• Your business before and after modernisation (what multiple would a buyer pay?)
• Risk factors that affect multiple (technical debt, compliance, scalability)

A business that moves from a 7x multiple (due to technical debt and compliance risk) to a 10x multiple (due to modernisation) has expanded by 3x. Combined with EBITDA expansion, this can deliver 2x total value creation.

Operational Metrics

While EBITDA and multiple expansion are the ultimate metrics, operational metrics track progress:

• Cost per transaction: For automated processes, the cost per transaction should decline by 40–60%
• Time to market: For new features or products, time to market should decline by 30–50%
• System uptime: Modern infrastructure should achieve 99.9%+ uptime
• Security posture: Vulnerability count, mean time to remediation, and compliance status
• Employee productivity: Revenue per employee should increase as systems are modernised
• Customer satisfaction: NPS, CSAT, and churn rate should improve as systems modernise

AI Agency ROI Sydney: How to Measure and Maximize AI Agency ROI Sydney for Your Business in 2026 provides a framework for measuring AI and automation ROI specifically.

Benchmarking and Tracking

Establish a baseline for each metric before modernisation begins. Then track quarterly to show progress.

A typical 18-month modernisation programme shows:

• Months 1–6: Cost reduction (quick wins), baseline metrics established
• Months 6–12: Platform consolidation complete, revenue acceleration beginning
• Months 12–18: Full benefits realised, compliance achieved

By month 18, you should see 20–30% EBITDA expansion and 1–2x multiple expansion.

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Common Pitfalls and How to Avoid Them

Not all modernisation programmes succeed. Here are the most common pitfalls and how to avoid them.

Pitfall 1: Lack of Clear Business Case

Problem: Modernisation is treated as a technology project rather than a business initiative. There’s no clear ROI target, and benefits are vague (“improve agility,” “better scalability”).

Solution: Develop a rigorous business case before you start. Define:

• What specific costs will be reduced?
• By how much?
• Over what timeframe?
• What specific revenue opportunities will be unlocked?
• What’s the total investment required?
• What’s the ROI and payback period?

Without a clear business case, the project will struggle for funding and stakeholder support.

Pitfall 2: Underestimating Complexity

Problem: The modernisation is more complex than expected. Data migration takes longer than planned. Integration challenges emerge. The team gets overwhelmed.

Solution: Plan for complexity. Build contingency into timelines and budgets. Assume integration will take 30–50% longer than estimated. Assume data migration will uncover data quality issues that need remediation.

Tech Modernization: Turning Constraints Into Value Creation Opportunities discusses how to systematically identify and plan for complexity.

Pitfall 3: Insufficient Change Management

Problem: The new systems are great, but the organisation doesn’t use them. People revert to old workarounds. Benefits don’t materialise.

Solution: Invest heavily in change management. This includes:

• Clear communication about why the change is happening
• Training and support for users
• Champions in each department who advocate for the new systems
• Incentives for adoption (tie bonuses to adoption metrics)
• Patience (it takes 6–12 months for full adoption)

Pitfall 4: Scope Creep

Problem: The modernisation starts as a platform consolidation, but then it expands to include new features, new integrations, and new capabilities. Budget and timeline blow out.

Solution: Define scope rigorously upfront. Create a “in scope” and “out of scope” list. Any change to scope goes through a formal change control process. Prioritise ruthlessly—do the highest-ROI work first, and defer nice-to-have features.

Pitfall 5: Weak Governance

Problem: There’s no clear decision-making authority. Different stakeholders pull in different directions. Decisions get revisited repeatedly.

Solution: Establish a steering committee with clear authority. Typically:

• CEO or COO chairs (executive sponsor)
• CFO (funding and ROI accountability)
• CTO or VP Engineering (technical decisions)
• VP Operations or VP Customer Success (operational impact)

The steering committee meets weekly during execution and makes decisions that stick.

Pitfall 6: Neglecting the People

Problem: The modernisation is technically successful, but key people leave because they’re burned out or fear job loss.

Solution: Be transparent about the human impact. If automation will eliminate roles, be honest about it and help people transition. Invest in upskilling so people can move to higher-value work. Celebrate wins and recognise the team’s effort.

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Getting Started: Your Modernisation Roadmap

If you’re a PE firm or a portfolio company considering tech modernisation, here’s how to get started.

Step 1: Diagnostic and Business Case Development

Start with a diagnostic phase (2–4 weeks):

1. Map the current state: What systems do you have? What are they costing? What’s their performance?
2. Identify pain points: Where is the business struggling due to technology constraints?
3. Estimate opportunity: For each pain point, estimate the cost of the problem and the potential benefit of solving it
4. Develop business case: Prioritise opportunities by ROI and dependencies. Develop a 3–5 year roadmap.

This diagnostic is best done by external advisors (like PADISO) who bring experience from similar businesses and can benchmark your situation against peers.

Step 2: Build the Team

You need the right team to execute:

• Executive sponsor: CEO or COO who owns the programme
• CTO or VP Engineering: Technical leader who owns architecture and execution
• Project manager: Someone who manages timeline, budget, and scope
• Change manager: Someone who manages adoption and stakeholder engagement
• Finance lead: Someone who tracks ROI and benefits realisation

For many PE-backed businesses, the CTO role is filled by a fractional CTO who works 2–3 days per week. This gives you experienced leadership without the cost of a full-time hire.

CTO as a Service is exactly this model. We embed experienced CTOs into portfolio companies to lead modernisation programmes.

Step 3: Develop the Detailed Roadmap

Once you have the team, develop a detailed 12–18 month roadmap:

1. Wave 1 (Months 0–3): Quick wins. Identify 2–3 high-impact, low-complexity initiatives that deliver EBITDA lift in 3–6 months.
2. Wave 2 (Months 3–9): Platform consolidation. Retire redundant systems, consolidate data, build a unified platform.
3. Wave 3 (Months 9–15): Revenue acceleration. Build new capabilities on the modern platform.
4. Wave 4 (Months 15–18): Compliance and de-risking. Achieve SOC 2, ISO 27001, document architecture.

Each wave should have:

• Clear objectives and success metrics
• Detailed initiative breakdown
• Resource plan and budget
• Timeline with milestones
• Risk assessment and mitigation
• Benefits tracking plan

Step 4: Execute Wave 1 (Quick Wins)

Don’t wait for perfect planning. Start executing quick wins immediately:

• Identify the highest-impact automation opportunity in your business
• Scope it tightly (3–4 week delivery)
• Deliver it with a small team
• Measure the ROI rigorously
• Celebrate the win internally

A successful quick win builds momentum, proves the case internally, and funds subsequent work.

Step 5: Scale to Waves 2–4

Once Wave 1 is complete and benefits are realised, move to Wave 2. Use the same discipline:

• Clear objectives and success metrics
• Phased delivery with regular milestones
• Rigorous benefits tracking
• Strong governance and decision-making

By month 18, you should have:

• 20–30% EBITDA expansion
• 1–2x multiple expansion
• A modern, scalable platform
• SOC 2 / ISO 27001 compliance
• A high-performing engineering team
• A clear roadmap for the next 3–5 years

Getting Help

Most PE-backed businesses don’t have the internal expertise to execute a complex modernisation programme. You need:

• Strategic guidance: AI Strategy & Readiness to develop the modernisation roadmap
• Technical leadership: CTO as a Service to lead architecture and execution
• Execution support: Custom software development and platform engineering to build the modern platform
• Compliance and security: Security Audit (SOC 2 / ISO 27001) to achieve compliance
• AI and automation: AI & Agents Automation to capture cost-out opportunities

PADISO brings all of these capabilities. We’ve worked with 50+ businesses to execute tech modernisation programmes, and we’ve seen firsthand how the right approach can unlock 2x value creation at exit.

Our case studies show real examples of businesses that have modernised and the value they’ve created.

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Summary: The Path to 2x Multiple Expansion

Value-creation engineering is the discipline of using technology modernisation to expand EBITDA multiples at exit.

The framework is simple:

1. Platform re-engineering: Consolidate fragmented systems into a unified, modern platform. Target: 15–25% cost reduction.

2. AI-driven automation: Automate manual workflows using AI and RPA. Target: 10–15% additional cost reduction.

3. Revenue acceleration: Use the modern platform to unlock new revenue streams and improve unit economics. Target: 10–20% revenue growth.

4. De-risking: Achieve compliance, document architecture, and reduce technical debt. Target: 0.5–1x multiple expansion.

Combined, these initiatives can deliver:

• 25–40% EBITDA expansion
• 1–2x multiple expansion
• 2x total value creation (EBITDA expansion × multiple expansion)

This is not theoretical. We’ve seen it happen at 50+ businesses. The businesses that execute this framework systematically—with clear business cases, strong governance, experienced technical leadership, and disciplined benefits tracking—consistently achieve these results.

The businesses that treat modernisation as a technology project rather than a business initiative, or that lack strong technical leadership, consistently underperform.

If you’re a PE firm evaluating a tech-enabled acquisition, or a portfolio company planning a modernisation programme, start with a diagnostic and business case. Bring in experienced technical leadership. Execute in waves, with clear objectives and benefits tracking. And stay disciplined about scope and governance.

The payoff—2x value creation at exit—is worth the effort.

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Next Steps

If you’re considering a tech modernisation programme, here’s what to do next:

1. Schedule a diagnostic: Spend 2–4 weeks mapping your current state and identifying opportunities. We can help with this through AI Strategy & Readiness.

2. Develop a business case: Quantify the costs and benefits of modernisation. This becomes your roadmap and funding justification.

3. Build the team: Hire or contract the technical leadership you need. Consider a fractional CTO if you don’t have internal capacity.

4. Execute Wave 1: Start with quick wins. Prove the case. Build momentum.

5. Scale to subsequent waves: Once Wave 1 is successful, move to platform consolidation, revenue acceleration, and compliance.

PADISO can support you at every stage. We bring experience from 50+ modernisation programmes, a network of technical talent, and a track record of delivering results.

Visit PADISO’s services page to learn more about how we can help, or reach out to discuss your specific situation.

The businesses that modernise win. The question is: will you be one of them?