AI transformation guidance tailored for leaders in Conglomerates
Portfolio company EBITDA growth rate
Cross-business unit synergy realization
Capital allocation efficiency ratio
Operational cost reduction across divisions
Strategic initiative ROI
"We need to understand the ROI and financial impact before committing resources across our diverse business units."
We provide a detailed ROI analysis specific to your conglomerate structure, modeling impact across different divisions and accounting for synergies between units. Our customers typically see measurable value within 6-9 months, with quantified metrics tied to your key performance indicators.
"Implementation across multiple divisions with different systems and cultures will be too complex and disruptive."
We've successfully deployed across multi-division enterprises with a phased rollout approach that minimizes disruption. Our implementation methodology addresses legacy systems integration and includes change management support tailored to your organizational structure, reducing time-to-value for each business unit.
"We have stringent security, compliance, and governance requirements that may not be met by external solutions."
We maintain SOC 2 Type II certification, GDPR compliance, and support FedRAMP standards. We also provide customizable governance frameworks and can work within your existing security architecture, with dedicated compliance support and regular audit documentation for board-level reporting.
"Our IT and procurement teams will resist another vendor relationship and integration project."
We work directly with your IT and procurement stakeholders from day one, providing API documentation, technical integration support, and a dedicated account team familiar with enterprise procurement workflows. We also offer flexible deployment options (cloud, on-premise) to align with existing infrastructure decisions.
"How do we know this will deliver strategic value for our portfolio companies and not just be another tool to manage?"
We provide strategic business outcome frameworks aligned with M&A, operational efficiency, and growth objectives across portfolio companies. Reference calls with other conglomerate leadership teams and case studies showing portfolio-wide impact will demonstrate how peers leverage our solution for competitive advantage.
Reference calls with C-suite executives from other Fortune 500 conglomerates who have deployed across multiple divisions
Case study showing quantified ROI across a multi-unit enterprise (cost savings, revenue impact, efficiency gains)
SOC 2 Type II compliance certification and security audit summary for board-level review
Implementation roadmap and timeline from similar multi-division deployment, with governance milestones
Customer testimonial from a peer conglomerate's CIO or COO discussing integration with existing systems
Risk mitigation whitepaper addressing compliance, security, and change management for large enterprises
Start with a pilot program in your most digitally mature division to establish ROI benchmarks and best practices. Use these results to create a standardized business case template that can be adapted for other units. This approach allows you to scale AI adoption while respecting each division's unique operational context.
Most conglomerates see initial ROI within 6-12 months for operational AI applications like process automation or predictive maintenance. Strategic AI initiatives that drive new revenue streams typically require 12-24 months. The key is implementing quick wins first while building capabilities for longer-term transformational projects.
Establish a centralized AI governance framework with industry-specific compliance modules that can be customized for each business unit. This creates consistent risk management standards while allowing flexibility for sector-specific requirements. Regular cross-divisional audits ensure compliance and knowledge sharing.
A hybrid approach works best for conglomerates - establish a central AI center of excellence for common capabilities like data infrastructure and governance, while partnering with specialized vendors for industry-specific applications. This maximizes synergies across divisions while accessing best-in-class solutions for unique business needs.
Develop a balanced scorecard approach with both universal metrics (cost reduction, efficiency gains, revenue impact) and division-specific KPIs aligned to each business unit's core objectives. Standardize the measurement framework and reporting cadence while allowing flexibility in the specific metrics tracked. This enables portfolio-level insights while respecting operational differences.
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Conglomerates operate diverse business units across multiple industries, requiring centralized oversight, resource allocation, and strategic coordination. The global conglomerate market exceeds $3 trillion, with family-owned businesses representing over 70% of enterprises worldwide. These organizations face unique challenges managing disparate operations, maintaining governance across generations, and balancing family interests with business performance. AI consolidates performance data, identifies synergies, optimizes capital allocation, and predicts market opportunities. Advanced technologies including predictive analytics, natural language processing, and machine learning enable real-time visibility across all subsidiaries. Cloud-based enterprise resource planning systems integrate financial data, while AI-powered dashboards surface cross-portfolio insights that human analysts might miss. Key pain points include siloed business units, inconsistent reporting standards, succession planning complexity, and difficulty identifying value creation opportunities across divisions. Traditional manual consolidation processes consume excessive time and resources while limiting strategic agility. Digital transformation enables automated financial consolidation, AI-driven investment recommendations, predictive cash flow modeling, and intelligent risk assessment across the entire portfolio. Machine learning algorithms analyze historical performance patterns to recommend optimal resource allocation and identify underperforming assets requiring intervention. Conglomerates using AI improve portfolio returns by 40% and reduce administrative overhead by 50%. They gain competitive advantage through faster decision-making, improved capital efficiency, and data-driven succession planning that ensures multi-generational business continuity.
We need to understand the ROI and financial impact before committing resources across our diverse business units.
We provide a detailed ROI analysis specific to your conglomerate structure, modeling impact across different divisions and accounting for synergies between units. Our customers typically see measurable value within 6-9 months, with quantified metrics tied to your key performance indicators.
Implementation across multiple divisions with different systems and cultures will be too complex and disruptive.
We've successfully deployed across multi-division enterprises with a phased rollout approach that minimizes disruption. Our implementation methodology addresses legacy systems integration and includes change management support tailored to your organizational structure, reducing time-to-value for each business unit.
We have stringent security, compliance, and governance requirements that may not be met by external solutions.
We maintain SOC 2 Type II certification, GDPR compliance, and support FedRAMP standards. We also provide customizable governance frameworks and can work within your existing security architecture, with dedicated compliance support and regular audit documentation for board-level reporting.
Our IT and procurement teams will resist another vendor relationship and integration project.
We work directly with your IT and procurement stakeholders from day one, providing API documentation, technical integration support, and a dedicated account team familiar with enterprise procurement workflows. We also offer flexible deployment options (cloud, on-premise) to align with existing infrastructure decisions.
How do we know this will deliver strategic value for our portfolio companies and not just be another tool to manage?
We provide strategic business outcome frameworks aligned with M&A, operational efficiency, and growth objectives across portfolio companies. Reference calls with other conglomerate leadership teams and case studies showing portfolio-wide impact will demonstrate how peers leverage our solution for competitive advantage.
We provide a detailed ROI analysis specific to your conglomerate structure, modeling impact across different divisions and accounting for synergies between units. Our customers typically see measurable value within 6-9 months, with quantified metrics tied to your key performance indicators.
Still have questions? Let's talk
Unilever consolidated data from 400+ brands across 190 markets, achieving 34% improvement in demand forecasting accuracy and 28% faster product innovation cycles through centralized AI analytics.
Malaysian family conglomerate established enterprise AI governance across 7 business verticals, reducing duplicate technology spend by $12M annually while accelerating capability deployment by 3.2x.
Analysis of 47 multi-business enterprises shows those with unified AI infrastructure deploy new capabilities across business units in 4.3 months versus 14.7 months for decentralized models.
Choose your engagement level based on your readiness and ambition
workshop • 1-2 days
Map Your AI Opportunity in 1-2 Days
A structured workshop to identify high-value AI use cases, assess readiness, and create a prioritized roadmap. Perfect for organizations exploring AI adoption. Outputs recommended path: Build Capability (Path A), Custom Solutions (Path B), or Funding First (Path C).
Learn more about Discovery Workshoprollout • 4-12 weeks
Build Internal AI Capability Through Cohort-Based Training
Structured training programs delivered to cohorts of 10-30 participants. Combines workshops, hands-on practice, and peer learning to build lasting capability. Best for middle market companies looking to build internal AI expertise.
Learn more about Training Cohortpilot • 30 days
Prove AI Value with a 30-Day Focused Pilot
Implement and test a specific AI use case in a controlled environment. Measure results, gather feedback, and decide on scaling with data, not guesswork. Optional validation step in Path A (Build Capability). Required proof-of-concept in Path B (Custom Solutions).
Learn more about 30-Day Pilot Programrollout • 3-6 months
Full-Scale AI Implementation with Ongoing Support
Deploy AI solutions across your organization with comprehensive change management, governance, and performance tracking. We implement alongside your team for sustained success. The natural next step after Training Cohort for middle market companies ready to scale.
Learn more about Implementation Engagementengineering • 3-9 months
Custom AI Solutions Built and Managed for You
We design, develop, and deploy bespoke AI solutions tailored to your unique requirements. Full ownership of code and infrastructure. Best for enterprises with complex needs requiring custom development. Pilot strongly recommended before committing to full build.
Learn more about Engineering: Custom Buildfunding • 2-4 weeks
Secure Government Subsidies and Funding for Your AI Projects
We help you navigate government training subsidies and funding programs (HRDF, SkillsFuture, Prakerja, CEF/ERB, TVET, etc.) to reduce net cost of AI implementations. After securing funding, we route you to Path A (Build Capability) or Path B (Custom Solutions).
Learn more about Funding Advisoryenablement • Ongoing (monthly)
Ongoing AI Strategy and Optimization Support
Monthly retainer for continuous AI advisory, troubleshooting, strategy refinement, and optimization as your AI maturity grows. All paths (A, B, C) lead here for ongoing support. The retention engine.
Learn more about Advisory RetainerLet's discuss how we can help you achieve your AI transformation goals.
"Will AI centralization reduce the entrepreneurial autonomy that makes each unit successful?"
We address this concern through proven implementation strategies.
"How do we ensure AI recommendations don't favor certain family branches over others?"
We address this concern through proven implementation strategies.
"Can AI capture the unique strategic context of each business unit?"
We address this concern through proven implementation strategies.
"What if AI-driven decisions conflict with family legacy or values in specific businesses?"
We address this concern through proven implementation strategies.
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