COMEG helps project organisations integrate artificial intelligence into the delivery lifecycle—from planning and risk intelligence to reporting, resource management and lessons learned.
Our approach combines traditional project controls with AI capabilities that can reduce repetitive work, identify patterns earlier and improve the quality of management information.
Generate draft work breakdown structures, project plans, assumptions, milestones and delivery scenarios for professional review.
Support schedule optimisation, dependency analysis, sequencing and impact assessment when project conditions change.
Use historical and current project information to identify patterns, emerging threats and areas requiring management attention.
Analyse capacity, skills, workload and assignments to support better resource decisions.
Draft status summaries, exception reports, action logs and executive updates from controlled project information.
Retrieve information from approved project records, compare documents and surface relevant decisions, requirements and lessons.
Summarise meetings, identify actions, assign owners and maintain decision continuity across distributed teams.
Define approved tools, data boundaries, human-review requirements, audit trails and escalation controls.
Combine project data, forecasts and risk information to improve portfolio visibility and decision support.
Tool selection depends on the client's existing stack, security requirements, data governance and delivery model.
Map workflows, project pain points and current systems.
Evaluate data, security, skills and AI readiness.
Rank use cases by value, feasibility and risk.
Test selected workflows with human review.
Embed governance, training and performance measurement.