{"id":1434,"date":"2026-07-07T18:49:11","date_gmt":"2026-07-07T18:49:11","guid":{"rendered":"https:\/\/www.lebihan.de\/expertise-index\/expertise-ai-in-ppm\/"},"modified":"2026-10-20T10:29:08","modified_gmt":"2026-10-20T10:29:08","slug":"expertise-ai-in-ppm","status":"publish","type":"page","link":"https:\/\/www.lebihan.de\/en\/expertise-index\/expertise-ai-in-ppm\/","title":{"rendered":"Expertise – AI in PPM"},"content":{"rendered":"
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\n <\/svg>AI in PPM<\/span>\n

Deploying AI where it truly reduces the project workload.<\/h1>

AI can significantly ease project work: in summarizing, searching, evaluating, drafting, and identifying patterns. We combine specific use cases with reliable data, clear processes, and accountability that remains with the human.<\/p>

\n Schedule a Meeting \u2192<\/span><\/a> How We Support You \u2192<\/span><\/a> <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section><\/div>\n
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AI is no substitute for order.<\/div>

Project and portfolio management generates a vast amount of information: status reports, risks, measures, minutes, decisions, resource plans, project proposals, and lessons learned.<\/p>

The greatest benefit of AI often lies in unspectacular tasks: summarizing project status, extracting risks from texts, converting minutes into action items, or finding relevant project experience faster.<\/p>

For this to work reliably, data, processes, roles, and access rights must be correct. That is why we do not view AI in PPM as an isolated technology topic, but as an integral part of project work. <\/p><\/div>\n<\/div><\/section><\/div>\n

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The Three Typical Challenges<\/span>

Three Symptoms. One Cause. <\/h2>

Unclear use cases, inconsistent data, and a lack of accountability mean that AI pilots look impressive but fail to become a permanent part of project work.<\/p><\/div>\n\n

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