AI Focus
Put AI where the business actually works.
I help companies apply AI to real work, systems and decisions. We start with a process or bottleneck that needs to improve - not another AI tool.
Five areas for practical application
ERP systems and AI
Connect unstructured information with business data and transactions under control.
AI connects unstructured input with ERP data while rules, permissions and approvals remain fixed.
- Orders, deliveries and inventory
- Invoices, payments and read-back checks
Automating operations
Reduce routine work and follow open cases through to a verifiable outcome.
Automation prepares routine steps and routes exceptions to the responsible person.
- Order handling and inventory planning
- Invoice review, reconciliation and reporting
AI for CRM and growth
Find, qualify and follow relevant opportunities more systematically.
AI supports public-source research, lead qualification and consistent CRM follow-up.
- Public-source research and qualification
- CRM cases, next actions and follow-up preparation
AI-first operating systems
Handle recurring work reliably across systems and over time.
Agents, rules and approvals keep recurring cases moving, even when work pauses or needs a decision.
- Agents for bounded tasks
- Durable state, approvals and escalation
Resilient and auditable agent systems
Keep agentic workflows controlled when work is interrupted, actions fail or systems disagree.
Agentic systems need durable state, complete action trails and defined paths for recovery and correction.
- State and recovery
- Traceability and audit
- Error correction and compensating actions
Start with one bounded use case.
Choose one bounded use case, define ownership and success, test it under supervision, then expand after verification.