Connected operations with measurable results
Workplace

Data-driven workplace decisions.

Unify office occupancy data and employee requests so that workplace teams can plan space, capacity and services from consistent information.

Workplace

Built around your operational priorities.

Unify office occupancy data and employee requests so that workplace teams can plan space, capacity and services from consistent information.

01

Collect occupancy signals

Define the owner, the expected result and the exception path before connecting this step to the next.

02

Apply privacy rules

Define the owner, the expected result and the exception path before connecting this step to the next.

03

Build capacity reports

Define the owner, the expected result and the exception path before connecting this step to the next.

04

Plan workplace services

Define the owner, the expected result and the exception path before connecting this step to the next.

Connected to the systems you use.

Robot ICT · OrchestrationRules · Approvals · Execution · Audit trail

ERP: Validated financial and operational records. Reference architecture. Available interfaces and access rights are confirmed during discovery.

Impact on the process.

Illustrative process comparison

Automation that leaves you in control

Manual process

20 min
Receive & readCopy dataValidate & approveUpdate system

Automated process

6.0 min
AI extraction + validationHuman review of exceptionsOrchestrated system update
Automatable handling effort70%

Model assumption: 20 minutes of active handling per transaction before automation. After = 20 × (1 − automated share). Excludes waiting, implementation and operating cost. Not a customer result.

Control is part of the design.

Agree the data boundary, access rights and approval rules with your process owner. Record execution outcomes, define escalation paths and test recovery before production.

Where do we start?

With one process and a baseline. We review volume, active effort, exceptions, system access and ownership before proposing a pilot.

Can we keep our existing systems?

Discovery maps existing interfaces. APIs are preferred; software automation can bridge applications where suitable interfaces are unavailable. Feasibility is validated before commitment.

How do you measure success?

Agree a baseline and evaluation period. Track cycle time, active effort, exception rate and outcome quality. Scale only after the pilot meets the agreed acceptance criteria.

Next step

Automation where
it creates value.

A clear assessment from a single consultation

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