Lighthouse Projects
Lighthouse Projects: AI implementation in industry, energy and HR
A Lighthouse Project takes one AI use case from framing to production, in a process with an owner and data, with the KPIs measured against the baseline. At the end, operations stay with your team.
At a glance
- Format
- Focused implementation of one use case, from framing to production, with KPIs defined upfront.
- Duration
- 8–16 weeks
- Your involvement
- A case owner who decides and validates, the process users in testing and whoever runs the systems involved.
- Price
- On proposalIt depends on the case, the systems involved and the scope. We send a proposal after framing the case.
Deliverables
- The solution in production in the chosen process.
- The KPIs measured against the baseline.
- Operations handed over to the in-house team, with documentation.
Who it's for
- A use case with an owner on the client side and accessible data.
- Processes with volume and clear rules: invoices, maintenance, planning, internal service.
Who it isn't for
- Those who don't yet know which case to tackle: the diagnostic or the Executive Program comes first.
- Cases without an owner or without access to the data.
Next step
Measure the KPIs and move on to the next case in the portfolio. Without a portfolio, the Executive Program orders the next ones.
How it runs
From the case to operations.
Phases
- 01FramingConfirm the case, the owner and the KPIs, and measure the baseline.
- 02Data and designConnect to the sources in read-only mode, assess data quality and design the solution and exception handling.
- 03PilotBuild and test with the process users, within a limited scope.
- 04Production and handoverGo to production, measure the KPIs against the baseline and hand operations over to the in-house team.
Prerequisites
- A case owner on the client side, with authority to decide.
- Access to the process data and systems, read-only to start with.
- KPIs and baseline agreed before building.
- Time from the process users to test and validate.
Where we apply it
Three areas, nine projects.
Each project has its own page, with the problem, the solution, how the KPIs are measured and what it takes to start.
Industry
Invoices, maintenance, planning. Where industry leaks money every day.
- Supplier invoice automation with AI
From intake to posting in the ERP, with people only on the exceptions.
- AI copilot for industrial maintenance
What is in the manuals and in the experts' heads, on the technician's tablet.
- AI for production and logistics planning
Orders, stock and capacity in one plan, with scenarios before deciding.
Energy
More signal, less noise.
- Operations copilot for EV charging networks
Questions about stations, sessions and invoices, answered in natural language.
- Predictive maintenance for EV chargers and demand forecasting
See the degradation before the charger stops.
- Smart charging: EV load management
Charge when energy is cheapest and renewable output is highest.
HR
HR unblocked. Internal helpdesk that actually works.
- AI helpdesk for HR and IT
The usual questions answered by the agent, and the sensitive ones by people.
- Recruitment automation: AI-assisted candidate screening
Less admin for recruiters, with the decision always in a person's hands.
- Automated employee onboarding
From offer acceptance to day one, with every step in view.
Want to see this in your operation?
90 minutes with you and your team. We leave with 3 concrete opportunities and estimated payback.