For CFOs and finance leadership

Find the waste hiding in your software spend.

Enterprises of 1,000–10,000 employees typically leak 6–12% of software budget to unused licences, duplicated tools and renewals negotiated without leverage. OpExRadar quantifies it — line by line, in euros.

Demo figures are based on a synthetic 5,000-employee dataset.

Example portfolio · Acme Corporation

Potential annual savings
€1.63M

0.1% of total software spend

Annual software spend
€20.4M
Products tracked
99
Observed inputs: spend, licences, active users, contract dates. Estimated: consolidation and realization rates.

One view of every software decision

OpExRadar turns fragmented spend, licence and contract data into a prioritised set of financial decisions your team can act on this quarter.

Spend intelligence, not app counts

Every finding is expressed in euros of annual impact, ranked so the biggest decisions surface first.

Unused licence detection

Compare purchased seats against active users per product and quantify the recoverable cost.

Overlap analysis

Identify functional duplication across collaboration, security and analytics stacks before renewal.

Renewal radar

See which contracts renew in the next 30, 60, 90 and 180 days and what leverage you still hold.

Deterministic calculations

No black-box guessing. Each number shows its formula, inputs and a High / Medium / Low confidence level.

Board-ready reporting

Export an executive summary with prioritised actions, owners and modelled savings in one click.

How it works

01

Upload your data

Spend exports, licence lists, HR headcount and contract dates in CSV or XLSX.

02

We model the waste

Utilization, overlap and renewal exposure are calculated with transparent, auditable rules.

03

Decide and track

Approve, snooze or dismiss each opportunity and report captured savings to the board.

Numbers you can defend

Every opportunity in OpExRadar shows the inputs, the formula and the assumption applied. Language models never produce a number — they only help describe context.

  • Unused licence savings = (licences − active users) × unit cost × realization rate
  • Overlap savings = addressable duplicate spend × consolidation factor × confidence factor
  • Confidence levels: High 0.85, Medium 0.60, Low 0.35
  • Renewal exposure grouped by contract end date, never extrapolated

See your own portfolio in minutes

Start with the demo dataset, then upload your own spend and licence exports to model your savings.