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Mesh ROI Calculator

Calculate the cost of legacy search inefficiency and discover how unified AI search across all data repositories can save millions per year without migrating data.

The Hidden Cost of Legacy Search

Legacy Network Drives

Searching legacy data involves:

  • Manual folder navigation with no content search
  • Opening 5-15 similar files to find the right one
  • 1-5 minutes per CAD file just to open and validate
  • 15-25 minutes per search on average

Mesh Unified AI Search

With Mesh you get:

  • AI content search across all systems simultaneously
  • Metadata inference and document clustering
  • Preview without opening heavy CAD applications
  • 1-2 minutes per search on average

Even conservative assumptions show that legacy search inefficiency costs organisations millions per year — before any migration costs.

Mesh ROI Calculator

Calculate the cost of legacy search inefficiency and the value of unified AI search across all your data repositories without migrating data.

Your Environment

10500

Staff who search for data

110
560 min

Time to find correct file including validation

110 min

AI-powered unified search

$

Blended technical staff cost

Annual Cost Savings

$1,716,000

per year with Mesh

3-Year Total Value

$5,148,000

including migration savings

Annual Hours Recovered

13,200

hours per year

Time Saved per User

36 min

per day per user

Daily Time Comparison

Legacy Search (Network Drives)66.7 hours/day
40 min/user

Manual folder navigation, multiple file opens, heavy applications

Mesh Unified AI Search6.7 hours/day
4 min/user

AI content search, metadata inference, no file opens required

Daily Time Saved60.0 hours/day

Across 100 users

Detailed Cost Breakdown

MetricLegacyMeshSavings
Time per Search20 min2 min18 min
Daily Time (per user)40 min4 min36 min
Annual Hours (total)14,6671,46713,200
Annual Cost$1,906,667$190,667$1,716,000

Additional Value Factors

Reduced Rework & Errors

Finding the right file first time prevents costly mistakes and compliance risks

Reduced Tribal Knowledge

Faster onboarding, less reliance on staff who "know where things are"

Improved Compliance

Faster audit response, better traceability, lower legal risk

Search Across All Systems

One search across legacy drives, NAS, and new data management systems

Key Insight

Legacy search inefficiency costs organisations millions per year before considering any migration costs. Mesh recovers that value immediately by providing unified AI search across all repositories without migrating data. Even conservative assumptions show ROI within months.

Legacy Search vs Mesh

FeatureLegacy Network DrivesMesh
Search MethodFilename search, manual folder navigationAI content search with metadata
File ValidationOpen 5-15 files manuallyPreview & clustering
Search ScopeOne system at a timeAll systems simultaneously
Data MigrationRequired for new systemsNot required
Confidence LevelUncertain without opening filesHigh confidence from AI analysis

Assumptions & Notes

  • Legacy search time (default 20 minutes) includes manual folder navigation, opening 5-10 similar files in heavy applications, and validation time.
  • Mesh search time (default 2 minutes) includes query entry, AI-powered result review, and opening the correct file. No validation opens required.
  • CAD files typically take 1-5 minutes to open and validate, significantly increasing legacy search time when involved.
  • Migration costs ($5-$15/GB typical) include data cleanup, validation, and transfer time. Mesh eliminates this by keeping legacy data in place.
  • ROI calculations are conservative and do not include reduced rework from using wrong files, improved compliance, or reduced tribal knowledge dependency.

Ready to See Mesh in Action?

The calculator shows the financial impact of search inefficiency. Now discover how Mesh delivers unified AI search across legacy and modern data repositories without migration.