- Situation
- Recurring approvals, invoice exceptions, supplier updates and missing decisions were distributed across fragmented tools and manual handoffs. Teams spent time chasing work that had no single accountable execution path.
- Execution break
- The workload was visible, but the execution system was not. Exception ownership, control thresholds, escalation rules, data responsibility and value logic were not explicit enough to support safe automation. Automating the existing flow would have scaled confusion.
- Architecture move
- KULIC translated workload and process friction into a governed automation business case. The move connected the real P2P flow with ownership and exception logic, control points, prioritized use cases, business-impact logic and a phased Discover-Design-Pilot-Scale route. AI remained a decision-support layer inside the operating architecture.
- Outcome
- Internal business-case logic identified approximately 4M USD in modeled value potential. A supporting workload analysis identified more than 24 annual manual-equivalent years for possible removal.
- Evidence class
- Primary: business case on file, modeled value potential. Supporting: workload signal from the published method.
- Validation status
- The internal business-case logic is fully documented.
- Method
- Modeled potential is not realized savings. The workload signal is not a cash outcome. Assumptions, period, sensitivity, implementation cost, technology stack and effort-to-cash conversion are not public. The 4M figure is stated in USD, per the source model (confirmed 2026-08-03).
- Next move
- Start with one recurring P2P exception. Confirm the owner, rule, control, data and escalation path before funding a broader automation rollout.
FLAGSHIP CASE · P2P EXECUTION ARCHITECTURE
AICTIONBOT™
AI is the layer. Governed execution is the system.
AICTIONBOT™ is a governed P2P execution architecture and business-case model. It is not a claim that one monolithic chatbot or off-the-shelf platform was deployed.
Business caseModeled value potential, on file in the engagement record.
Approx. 4M USD modeled potentialStated in USD, per the source model.
24+ annual manual-equivalent yearsIdentified for possible removal; no cash translation stated.
What AICTIONBOT™ is - and is not
A governed execution architecture.
It connects orchestration, workflow/AI, integration and governance around accountable P2P movement.
A product claim.
It is not positioned as a broad software platform, a one-stop business shop, or a promise that AI alone solved the operating problem.
Are we automating the process, or automating confusion?
The first test is whether owner, rule, control, data and escalation are explicit enough to automate safely.
Related next step
Diagnose the P2P break before funding the rollout.
Use the case to identify one recurring exception and decide whether ownership, controls and escalation are strong enough for automation.