Making stakeholder risk visible early and manageable throughout execution
Stakeholder dynamics determine whether complex projects move forward, stall, or escalate. Technical control does not equal stakeholder control. If not addressed early, stakeholder risk hardens below the surface and resurfaces when options are limited.
Risk control in complex projects therefore requires stakeholder risk intelligence: seeing dynamics early, keeping them visible during decision-making, and tracking them as projects move into execution.
Stakeholder risk is diffuse and constantly evolving. Relevant information is spread across documents, consultations, media, and informal interactions. By the time patterns become visible, choices have narrowed and corrective action is expensive.
Traditional engagement tools and static reports do not hold once projects move across phases, actors change, or new pressures emerge.
SOLV builds a digital twin of your stakeholder environment that functions as a living system rather than a one-off assessment. It supports the strategic organisation of stakeholder engagement and the preparation of concrete interactions: who to talk to, on what topic, and why.
Stakeholder positions, influence, and tensions are made explicit and comparable over time. As data density increases, insights become more precise without destabilising earlier conclusions.
SOLV processes stakeholder data from both outside and inside your organisation. The model is continuously updated, giving you a consultable view of stakeholders, their priorities, alignments, and the risk your project is encountering.
All input remains traceable to its source, supporting transparency, trust, and accountability throughout the process.
KEY PLATFORM OUTPUTS
Detailed profiles with positions, values, sensitivities, influence, and relationships, based on continuously updated data.
Assessment of stakeholder support or resistance for project actions, based on documented input or quantified, auditable predictions.
Detection of emerging resistance, shifting coalitions, or changing priorities as new information enters the model.
Comparison of alternative scenarios showing relative stakeholder acceptance and risk, allowing decisions to be reviewed, explained, and audited over time.
