Leverage AI to support strategic and transformational decision-making

Organizations are making an increasing number of decisions in conditions of uncertainty, rapid change, and growing volumes of available data. Traditional analytical approaches often struggle to keep pace, while critical decisions are frequently made with incomplete information.

We help organizations use AI to support analysis, scenario modelling, and better business decision-making. By combining domain expertise, transformation experience, and the capabilities of modern technologies, we help improve decision quality and reduce the risk of costly mistakes.

Who is it for?

This service is designed for organizations that:

• are undertaking business, digital, or organizational transformation;
• want to use AI to support decision-making processes;
• need better data analysis and evaluation of alternative options;
• want to assess the implications of different decisions before implementation;
• manage complex project portfolios or transformation programmes;
• need faster access to management information and insights;
• want to improve the quality of strategic and operational decisions.

Scope of support

The scope of work may include:

• identifying decision-making processes that could benefit from AI support;
• assessing available data sources and information quality;
• designing AI-supported decision frameworks;
• applying AI to strategic and business analysis;
• scenario modelling and evaluation of alternative courses of action;
• identifying risks, dependencies, and potential consequences of decisions;
• using AI for market analysis and benchmarking;
• supporting strategic planning processes;
• developing dashboards and systems that support decision-making;
• building AI-related capabilities among leaders and teams.

Project outcomes

The organization receives:

• a map of decision areas where AI can add value;
• recommendations for applying AI in management processes;
• analytical and scenario models supporting decision-making;
• improved access to critical information;
• better identification of business risks and opportunities;
• greater visibility of the relationships between decisions and their consequences;
• enhanced capabilities for the responsible use of AI;
• a foundation for becoming a more data-driven organization.

The Synergist approach

We see AI as a tool that supports people rather than replaces them. Our objective is not to automate decision-making itself, but to improve the quality of the information and insights upon which decisions are based.

We help organizations use AI for scenario modelling, risk analysis, dependency mapping, and impact assessment. Particular emphasis is placed on transparency of assumptions, responsible AI use, and ensuring that technology serves real business needs.

Example applications

AI can support organizations in areas such as:

• strategic planning;
• organizational transformation;
• portfolio and programme management;
• investment decision analysis;
• risk assessment;
• development of future scenarios;
• business model resilience analysis;
• sustainability management;
• operational data analytics;
• monitoring the implementation of strategic initiatives.

Experience

We draw on experience in organizational transformation, project portfolio management, strategy design, and the use of AI to support analysis, scenario modelling, and decision-making processes.

Our approach has also been shaped by insights shared by Ewa Palarczyk during international conferences focused on organizational transformation, AI, and project management.