AI-powered project and resource management

PORTFOLIO PLANNING

AI-powered portfolio planning

Can Do uses AI models to simulate and evaluate entire project portfolios, even when project data is still uncertain or incomplete. Start dates, durations and effort can be entered as estimated ranges. The AI calculates scenarios with different probabilities.

Future projects are assessed for capacity bottlenecks, schedule risks and conflicting objectives before approval, taking account of absences, ongoing projects and priorities.

AI also supports prioritisation and scenario planning before a project starts: the impact of new initiatives on existing portfolios is simulated before decisions are made.

RESOURCE PLANNING

AI-powered resource planning based on skills

Instead of planning only with named individuals, Can Do AI considers skills, experience and availability. It identifies tasks that alternative employees could take on and simulates different team structures.

When bottlenecks arise, the AI suggests specific, realistic alternatives, automatically and within seconds.

RESOURCE MANAGEMENT

Automatically identify resource and project risks

The AI continuously analyses planning changes in real time: sickness, rescheduling, increased effort or new projects. It assesses not only whether a risk exists, but how significant it is.

It distinguishes between:

• Risks that are critical in the short term, such as a milestone at risk
• Deviations that can be tolerated over the longer term

AI FEATURES

AI as an early warning and management system

Can Do AI acts as a continuous early warning and management system for projects and portfolios. It analyses utilisation, priorities, dependencies and skills, identifying operational bottlenecks as well as structural management issues.

These include:

• Too many initiatives running in parallel
• Unrealistic priorities
• Bottlenecks in critical skills
• Decisions that put the delivery capacity of the overall portfolio at risk

Instead of revealing problems only when schedules, budgets or quality are already under pressure, the AI provides early, data-driven warning signals for management.

AI FEATURE

AI-powered recommendations for overloaded resources

Using historical data and day-to-day activity, the AI has learned which tasks can be reassigned and where comparable qualifications can be used.

When resources are overloaded, the AI supports decisions by suggesting how tasks could be redistributed or alternative resources used.

AI FEATURE

AI-powered BI dashboards and data visualisation

Artificial intelligence and business intelligence work closely together in Can Do. AI analyses project, resource and financial data to identify patterns, risks and trends.

The BI layer turns these insights into clear, interactive dashboards that support consistent visual management. Instead of isolated metrics, management, PMOs and line managers receive contextual views to support decisions, from day-to-day project performance to strategic portfolio and capacity management.

AI FEATURE

Forward-looking trend and risk analysis

Can Do AI identifies patterns and anomalies in millions of data points, including over longer periods. These patterns help predict future developments early.

This reveals what is likely to happen before problems become urgent.