Enablement
Training for all business areas on business process automation — the shared knowledge base for the project.
insights · our method for successful ai integration
The Sellium Method
Four steps lead from initial enablement to a production-ready AI solution — with a TCO-based ROI view for every AI integration. The result is not a slide-deck strategy but a reliable business case per use case.
method
Four steps to productive AI
Use Case Discovery
Process analysis and documentation, AI Readiness Check and IT check-up: automation and AI potential in your business processes is identified and documented — every use case stands for a business process that can be automated.
Strategy synthesis
Tailored AI strategy on a TCO basis — including a legally sound AI policy and roadmap.
Piloting & Production Readiness
From piloted quick win to production maturity — measurable, scalable and anchored in operations.
our unique selling point
The Sellium TCO model
Not a consulting step but our product: a reliable business case per use case — calculated in three dimensions.
Monetary
- Token volume & deployment routing
- Electricity price, PUE, hardware lifecycle
- Lease / buy / depreciate
Non-monetary
- Data sovereignty & data protection
- Latency & scalability
- Operational complexity
Compliance
- ISO 27001 · TISAX · BSI
- Certification constraints
- Legally sound AI policy
Others sell AI strategy. We calculate it — down to the token.
process
How the consulting runs
Two workshops frame the Use Case Discovery; at the end stands the documented AI strategy.
Step 1: 1st workshop
Teaching the fundamentals: artificial intelligence, prompt engineering, automation concepts, show & tell — and the start of the Use Case Discovery (UCD).
Step 2: Use Case Discovery (UCD)
Identification and documentation of automation and AI potential in your business processes, start of the AI Readiness Check (ARC), IT check-up as a deep dive — including preferences on AI infrastructure and existing hardware.
Step 3: 2nd workshop
Detailing and evaluation of the use cases, completion of the AI Readiness Check and capturing customer preferences (voice of customer).
Step 4: AI strategy + AI policy
Data preparation (strategy) and strategy synthesis based on UCD, ARC, evaluation matrix, IT check-up, VoC and the Sellium TCO model — including a legally sound AI policy.
strategy synthesis
From raw data to roadmap
Strategy synthesis runs in two stages — first consolidated in a structured way, then calculated with AI support.
Stage 1 — semi-automated
Data consolidation
- Consolidate structured data: UCD, ARC, pitch matrix, IT check-up — business processes with pain points, target AI process, constraints, owner and monthly volume
- Process modelling in BPMN 2.0: tasks, gateways, events and sequence flows — the basis for effort and token estimation
- Process map: assignment of management, core and support processes
- AI potential: token volume forecast with sub-task decomposition and AI-supported process interpretation
- IT check-up: IT inventory and voice of customer (e.g. on-premise preference, use case preferences)
Stage 2 — fully automated
AI-based strategy synthesis
Based on a Sellium-structured template, the consolidated data (UCD, ARC, evaluation matrix, IT check-up, VoC), the TCO model and external factors such as memory prices or frontier providers.
Result (excerpt):
- AI maturity & strategic goals
- Roadmap (1–3, 4–6, 6–12 months)
- Quick wins + action plan
- Legally sound AI policy
- Model selection
- Certification constraints
- Governance, roles, responsibilities
- Compliance roadmap
- Risks and countermeasures
- Change management & enablement
More on getting started: AI Consulting · funded AI training · Funding options
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