Our services and approach

Strategy and data-driven decision making

Designing clear, actionable strategies supported by quantitative analytics
Ensuring strategy execution through appropriate organizational incentives, effective performance monitoring, and priority focused resource allocation

Start with company long-term vision
Define measurable strategic objectives and secure leadership buy-in
Develop concrete action plans assigning internal responsibilities for each step
Translate strategies into measurable KPIs for transparent monitoring of progress
Define required organizational skills, decision-making processes, and capabilities needed for successful execution
Define data requirements to enable strategy execution, including data types, sources, formats,
and assigned accountabilities

Identifying areas where AI can significantly enhance efficiency and performance
Selecting or developing appropriate AI solutions considering cost, privacy, compliance, scalability, and ease of adoption
Hands-on support during AI implementation and operational integration

Start with use cases offering a combination of high impact and ease of implementation, leveraging existing tools where feasible - to create success stories and build momentum
Work closely with operational teams to ensure solutions address practical rather than notional problems
Define clear internal responsibilities throughout the data lifecycle, to maintain high data quality and set the foundation for autonomy
Build AI implementation roadmap and establish internal AI champions to foster internal expertise
Foster awareness of compliance, privacy and regulatory requirements

Developing governance frameworks supporting company strategy
Designing detailed governance structures and processes to enhance accountability, oversight, transparency, and effective decision-making

Define company strategic challenges and identify the essential mix of skills and experiences needed for governance bodies
Map key decisions, for each define required oversights
Spell out key risks and appropriate controls and checks
Structure governance bodies to cover key decisions and risks minimizing decision-making chains
Develop policies and procedures to enable decision making in light of controls and oversights

Structuring organizational transformation programs with clearly defined objectives, timeline, accountabilities, and supportive structures
Managing transformation execution

Start with measurable transformation objectives, structured into time-defined phases
Develop step plan with internal accountability for each action
Establish a governing body responsible for oversiing the progress, and daily management group
Engage operational experts from within the company to ensure realistic implementation
Provide clear ongoing communication of objectives, milestones, achievements throughout the organization
Continuously monitor progress, identify risks and implement corrective measures swiftly