When?

We support organisations precisely when they are facing complex operational turning points. Our oXaI method is effective in the following strategic and operational scenarios:

Service Portfolio

1.) Strategic Transformation & Structural Change

  • Faster Vision-to-Market: The standardized cF architecture streamlines turning executive vision into reality across business operations and IT.
  • Business Model Innovation & M&A: When the existing business model needs to be expanded, adapted or restructured (e.g. in the course of post-merger integrations (PMI) and carve-outs) in order to align business and IT in the Target Operating Model (TOM).
  • Organizational upheaval: When organisational units have to be restructured, merged or separated and the operational handling is to be presented in a clearly structured and cascading manner.

2.) Operational Excellence

  • Full Control over Digitized Processes & AI: workflows development by business based on Dual Brain architecture prevents “shadow AI,” establishing deterministic control and complete traceability over autonomous AI agents across business units.
  • Process crisis & inefficiency: When current processes pose operational problems, the IT landscape blocks strategic growth plans or the time-to-market for new products is too slow.
  • Elimination of technical debt: When a grown, rigid legacy architecture needs to be cleaned up and decoupled in a targeted manner in order to flexibly align with real business processes.
  • Preparation of technical transformations: When an IT migration (e.g. system change) is imminent, but the company lacks the necessary transparency and documentation to precisely describe the current state from a process perspective.

3.) Applied AI & Regulatory Governance

  • Controlled AI scaling: When innovations – in particular, artificial intelligence and autonomous agents – are to be implemented, but hard, auditable process guardrails are missing to unleash their full potential in a controlled and secure manner (dual-brain concept).
  • Compliance & liability risks (DORA / AI Act): If the documented processes do not correspond to the lived reality and there is a risk of breaches of due diligence or violations of current regulations. We restore the 4C quality (Complete, Consistent, Compliant, Correct).
  • Cost and efficiency intransparency: When it is unclear exactly where the actual cost drivers lie in the complex settlement chains and radical transparency is needed for automation.

cogniFactum comes into play when the bridge between business requirements and IT implementation breaks – be it due to technological legacies, the uncoordinated infiltration of AI buzzwords or regulatory pressure.