Cost optimization
Cost optimization here means the smallest compliant cash outlay that still satisfies mandated capabilities—not mindless SKU downgrades for optics. CHAOS systematically contrasts bundles vs. base licenses vs. add-ons so you recognize when upgrading a bundle paradoxically lowers total expense versus stacking lightweight SKUs.
Optimization objectives
The engine minimises overall spend subject to mandated minimum features (mailbox, Teams modes, Defender tiers, speciality apps such as CAD add-ons). When multiple SKU stacks satisfy constraints, lowest total price wins unless a master policy forbids divergence (division-wide bundles, mandated security tiers, union agreements).
- Bundle vs standalone comparisons per persona profile
- Add-ons only when cheaper than hopping to the next bundle tier explicitly
- Cost attribution per persona for finance dashboards and chargeback grids
Transparent narratives
We avoid guaranteed percentage gimmicks—instead referencing observed ranges alongside labelled assumptions (“list-price adjacent”, tenancy caveats). Finance therefore sees defensible corridors without suppressing credible upside narratives.
- Bands instead of false precision spreadsheets
- Explicit assumption labelling wherever catalogue pricing placeholders appear
- Pointer back to enriched tenant telemetry for hardened numbers ahead of CFO sign-off
Economics reviewers can reuse
Controllers see juxtaposed SKU roads—not solely end-state invoices—dramatising what “everyone stays on premium bundle” versus “tiered optimisation” materially changes. Faster internal approvals mean fewer contentious escalations downstream about arbitrarily chosen SKU labels.
- Budget defence packs that visualise deltas without bespoke analyst effort
- Segmentation aides for concentration-of-spend analyses or risk hotspots
- Interpretation scaffolding for contractual true-up windows and SKU volatility
CHAOS — understand run-rate before budget and renewal force the issue.
From the field
Scenario
Finance sees rising Microsoft run-rate, but drivers sit in add-ons, true-ups, and oversized bundles. Controllers want defensible scenarios before they release budget.
Why (evidence layer)
Cost levers are not only counted—they are explained: which cohort, which usage profile, and which alternative would be more expensive or riskier. Savings are tied to risk trade-offs, not blunt downgrades.
Before/after in EUR per month (run-rate). Annual savings = difference × 12. Figures reflect typical mid-market profiles consolidated from completed optimisation programmes (anonymised, rounded); your organisation will differ by inventory and governance.
Total before (monthly)
€ 305,000
Total after (monthly)
€ 176,900
Savings / year
€ 1,537,200
Savings
42%
Run-rate cost: before vs. after
License mix by SKU (after)
Split by Microsoft 365 / online SKUs (after — readable)
Microsoft 365 E3
€ 74,298 · 42.0%
Office 365 E1
€ 35,380 · 20.0%
Microsoft 365 F3
€ 38,918 · 22.0%
Exchange Online (Plan 1)
€ 14,152 · 8.0%
Other online SKUs / add-ons
€ 14,152 · 8.0%
Consolidated metrics from comparable customer programmes (anonymised under GDPR, rounded). This is how finance and IT teams usually read run-rate before a live tenant connect. Your authoritative view is built in the demo with your tenant.
| Total before (monthly) | 305000 |
|---|---|
| Total after (monthly) | 176900 |
| Savings / year | 1537200 |