Capacity planning and forecasting
Teams sized to real demand, hour by hour, with schedules checked against the operation’s rules.
Hans Spiller · Technology, data and automation
From manual work to automated, auditable operations.
Complex processes, disconnected systems and manual work turned into automations, integrations and intelligent systems, with human approval where it matters and a record of everything that happens.
Solutions
Where help makes a difference
Areas described by the problem they solve. Many problems cut across more than one.
Payroll, timekeeping and HR data audit
Overtime, timekeeping, absenteeism and payroll cross-checked between sources, with every number traceable to the original entry.
Data, BI and dashboards
Reliable metrics, reports that update themselves and dashboards that show deviations before the month closes.
Process automation
Repetitive tasks, cross-checks and files passed from hand to hand become automatic, logged routines.
Applied AI and agents
Agents, OCR and intelligent search applied to concrete problems, with human approval before any critical action.
Security and access governance
Access reviewed, stale accounts removed and configurations hardened, with every change logged and reversible.
Infrastructure and ongoing support
Servers, networks and services managed with evidence-based diagnosis, controlled change and documentation.
Don’t see your area?
Problems that cut across systems, data and people rarely fit into a single area.
Describe the problem
Results
Gains measured in your operation, not promised on a website
Capacity planning and forecasting can cut costs sharply in one operation and only slightly in another. It depends on volume, structure and data maturity. That is why no ready-made percentage appears here.
Assessment first
The current situation is measured before any proposal.
Criteria before starting
What counts as success is written into the scope.
Gains measured on your data
The result is compared against the operation’s own data.
Projects
Real work, described without exposing anyone
Anonymized projects: context, outcome and the area they fit into.
AI communication hub with human approval
- Context
- Conversations, requests and agreements from an entire messaging channel were stuck in the chat history, with no triage, no record and no way to find the context of an old decision.
- Outcome
- Communication organized in a single dashboard, with context that can be found and nothing sent without human confirmation.
Capacity planning and schedule validation
- Context
- The operation needed to size its team in line with real demand, without relying only on gut feeling or a simple average.
- Outcome
- Planning that can be justified and repeated, with forecast, capacity and schedule kept separate and the criteria documented.
Automatic cross-system checks with OCR
- Context
- Decisions and identifiers shown in different systems, with no integration between them, had to be compared quickly to catch discrepancies.
- Outcome
- Faster verification and an objective layer of checking, with discrepancy types classified to cut false alarms.
How it works
Way of working
The real process first
Understand the process as it actually happens before automating or changing any technology.
Evidence before conclusions
Separate symptom, likely cause and evidence, so decisions do not rest on perception alone.
Risks mapped
Map dependencies and risks before any change.
Small, reversible change
Prefer small changes, with a backup and a way back, in critical environments.
Human validation where it matters
Automate what is repetitive and keep human validation wherever the risk calls for it.
Objective success criteria
Define metrics and criteria to confirm, with data, whether the solution worked.
Documentation to carry on
Document so that someone else can operate, audit or continue the work.
Incidents become improvements
Turn incidents and one-off tasks into permanent improvements whenever possible.
Contact
Is there a process that depends on someone copying, checking or remembering?
Describe the problem the way it shows up day to day. The first conversation is for understanding the situation and saying honestly whether and how help is possible.