A repeatable cloud efficiency service for MSPs
Review-ready recommendations and customer-grade reporting across portfolios, without pretending every change can run unattended. Strongest onboarding depth is on Azure today; we still want partners whose customers run AWS or GCP so roadmap matches delivery pressure.
Why current approaches do not scale
The MSP model breaks when every efficiency win depends on a hero engineer repeating the same manual loop.
Native tools do not scale across a portfolio
Console depth that works for one tenant does not transfer to ten or fifty. Your delivery team still pays the tax of reopening the same analysis patterns customer by customer.
Periodic reviews go stale
A quarterly deep dive produces a snapshot. Customer environments move every sprint, and the spreadsheet is stale before the next QBR.
Signal-only products leave the analysis burden
Charts and alerts show where to look. They rarely package the full argument your engineer needs before recommending a change in production.
Partners win when the same preparation standard scales across engineers and accounts, not when every QBR reinvents the analysis.
Portfolio leverage without losing review discipline
CloudKnife is the preparation layer: consistent analysis, customer-grade outputs, and room to grow into governed automation only where contracts and policy allow.
Portfolio leverage
Run the same high standard across tenants without cloning spreadsheets. Opportunities, priorities, and review items roll up so leadership sees the portfolio, while delivery teams still work item by item with full context.
The sale is not raw access to clouds. It is a repeatable efficiency motion your customers can budget and trust.
Customer-facing reporting
Priorities, impact, and review status in language customers can follow. Less ad hoc slide rebuild, more repeatable QBR and steering material.
Review-ready recommendations
Rationale, expected impact, resources, and confidence in one structured item so your team defends suggestions without starting from raw exports.
More consistent delivery quality
Same preparation standard across engineers and accounts. Junior staff inherit a stronger baseline because the product carries context, not only metrics.
Path to governed automation where the customer allows it
No promise of silent execution everywhere today. Where customers enable it, automation stays policy-bound and review-led, not a blanket apply button.
Proof in a live environment
In a €1.7M annual public cloud footprint in a reference Azure deployment, CloudKnife identified €102K in recurring yearly savings through review-ready recommendations. Same customer environment, stronger surfaced opportunity than a prior optimisation pass. Results vary by customer; teams validate before change.
Hosted with a European operating focus. If your portfolio spans AWS or GCP, we still want the conversation: roadmap timing is quality-led, and partner input matters. Partner programmes include enablement so your team can deliver the story with the same discipline as the product.
Commercial conversation next
We walk through partner economics, onboarding, and how to position review-first delivery with your customers. No slide-deck automation fantasy.