AI IN PROJECT MANAGEMENT
Use AI with control.
Retain project accountability.
I support companies in integrating AI purposefully into existing project management processes – aligned with the organisation, governance, existing tool landscape and the specific starting point.
The methodological principles remain binding. The concrete implementation, however, is tailored to your project organisation, processes and requirements.
How AI becomes a project management assistant
Professional use of AI does not begin with an isolated prompt. Project information, AI-assisted drafts and professional review need to be combined into a controlled workflow.
PROJECT CONTEXT
Relevant project information, objectives, constraints and governance requirements provide the working context.
AI-ASSISTED DRAFT
LLMs support the preparation, structuring and analysis of project information within the defined context.
PROFESSIONAL REVIEW
The project manager reviews the result, validates it against the available information and remains accountable for its use.
AI supports the workflow. Project accountability remains with the project manager.
RESQUALSEC FRAMEWORK
ResQualSec adapts to your organisation
Organisations differ in their project models, responsibilities, system landscapes, data protection requirements and their existing use of AI. ResQualSec is therefore not imposed on existing structures, but adapted to the respective project and governance environment.
Together, we assess which project management processes should be supported, which information may be used and how AI-assisted activities can be integrated with ResQualSec into existing tools, roles and approval processes.
Your organisation does not have to adapt to ResQualSec. The framework is tailored to your organisation and your specific starting point.
Explore ResQualSecSERVICE OFFERINGS
The right starting point for your organisation
Depending on the starting point, objectives and level of maturity, the engagement can begin with a compact briefing, a practice-oriented workshop, an in-house training session or a supported pilot implementation.
ORIENTATION FOR DECISION-MAKERS
Executive Briefing
A compact briefing for executive management, business unit leaders, PMO leads and programme owners. It provides an overview of the opportunities, limitations and prerequisites for the controlled use of AI in project management.
Result: Shared orientation and a sound basis for deciding on the next steps.
Format: 60–120 minutes · online or on site
IDENTIFY SUITABLE USE CASES
AI Readiness & Use-Case Workshop
Together, we analyse existing project management processes, assess the available information base and identify suitable use cases for the controlled application of AI.
Result: Prioritised use cases, an initial AI readiness assessment and a recommendation for a suitable pilot approach.
Format: Half-day or full-day · online or on site
ENABLE PROJECT MANAGERS AND PMOS
In-house Training
The training provides project managers, programme managers and PMO staff with a structured approach to using AI in day-to-day project work – from AI-ready information to the professional review of results.
Result: A shared working model, practical application skills and guidance for transferring the approach into participants’ own projects.
Format: One or several days · online or on site
TEST THE METHODOLOGY IN A REAL PROJECT
Pilot Support & PMO Enablement
Together, we apply the methodology to a selected project management process or a specific use case. Working structures, context packages, templates, review steps and governance are adapted to the existing organisation.
Result: A tested AI workflow, adapted working materials and concrete recommendations for standardisation or scaling.
Format: Multi-week support · remote, hybrid or on site
TYPICAL STARTING POINTS
When collaboration makes sense
The right starting point depends on how AI is already being used today, which project management processes are most relevant and which organisational conditions are in place.
AI is already being used, but without consistent rules and review processes.
Project management or the PMO are looking for concrete and realistic AI use cases.
There is uncertainty around data protection, information quality and accountability.
Individual prompts produce results, but not yet an end-to-end working process.
Project managers need to be enabled to use AI in a controlled and practical way.
A specific project management process should first be tested as a pilot.
PROJECT MANAGEMENT EXPERIENCE AS THE FOUNDATION
AI from a real-world project management perspective
My methodology is based on many years of experience in managing complex IT projects and programmes. Project charters, stakeholder management, planning, risks, dependencies, reporting, escalations and management decisions are part of my day-to-day project practice.
AI is therefore not viewed solely from a technology or training perspective. What matters is how AI can be integrated into existing project processes, responsibilities and governance structures.
NO-OBLIGATION INITIAL DISCUSSION
Which starting point is right for your organisation?
In a free 15-minute initial call, we discuss your current situation, potential areas of application and which service format is generally the best fit for your organisation.
15 minutes · online · no obligation · no preparation required
Book a free initial call