Calculate the cost of fragmented business logic

See how much time and money your organization loses to inconsistent definitions, duplicated work, and knowledge silos.

Conflicting Numbers

Systems producing different numbers

Dashboards, spreadsheets, BI tools, data warehouses

Hours/week spent reconciling data

Days to get "correct" numbers

Hours/week in alignment meetings

Duplicated Work

Tools with embedded definitions

BI tools, spreadsheets, pipelines, AI tools with their own logic

Days to update a metric everywhere

Hours/week rebuilding calculations

Incidents/month from inconsistent definitions

AI Trust Deficit

Hours/week verifying AI outputs

Broken automations per month

% of AI insights double-checked

Decisions where AI is overridden (%)

Knowledge Silos

Weeks for new hire to be productive

Key people whose departure = major risk

Critical undocumented processes

Annual team turnover (%)

Company Profile

Team size affected

Average hourly cost ($)

Industry

Adjust estimated improvement percentages based on your environment. Default values are based on typical semantic layer implementations.

Reconciliation time reduction

Alignment meetings reduction

Duplicate work reduction

Incident reduction

AI verification reduction

Automation failures reduction

Onboarding time reduction

Definition rollout speed improvement

Key person risk reduction

Annual cost of fragmented logic

$324,000

potential savings with Seambo

1,560

Hours recovered/year

0.9

FTE equivalent

70%

Fewer incidents

60%

Faster onboarding

Time Spent on Data Reconciliation

40 hrs/week

Current State

8 hrs/week

With Seambo

Cost Breakdown by Problem

$324K

/year

Numbers don't agree $102K

Logic reinvented $81K

AI untrusted $62K

Knowledge lost $79K

Cumulative Savings Over 12 Months

$81K

Month 3

$162K

Month 6

$243K

Month 9

$324K

Month 12

Scenario Builder

Metric	Scenario 1	Scenario 2	Scenario 3
Annual Savings	-	-	-
Hours Recovered	-	-	-
Team Size	-	-	-
ROI	-	-	-

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