Aidren Excel Mapper & AI Gap Analyzer

What the platform does

Start with Excel, map the real process, then close the loops with AI.

Instead of asking a manufacturer to rip out the tools they already use, the mapper reads the spreadsheet logic they rely on today and translates it into a production-grade operating model across estimating, scheduling, procurement, quality, finance, sales, maintenance, and workforce planning.

1. Map the workbook

Translate the spreadsheet into 8 operating loops and the dependencies between them.

2. Close the loops with AI

Turn spreadsheet-driven work into a structured, queryable operating model.

3. Quantify the upside

Translate operational improvement into recovered EBITDA and enterprise value.

What Excel is carrying today

Quote tabs hold pricing logic that never feeds back into win-loss performance.

Schedule sheets track bottlenecks and labor friction, but only after the fact.

Quality, purchasing, and close trackers hide margin erosion across disconnected files.

What the mapper delivers

A mapped workbook-to-process view tied directly to EBITDA leakage.

A closed-loop blueprint with 30/60/90-day milestones.

A queryable operations workspace built from the mapped spreadsheet logic.

Ideal fit

Use this version for $25M to $100M manufacturers that want to start with the spreadsheet they already trust and turn it into a serious AI operating model.

Step 1 · Workbook intake

Calibrate the Excel mapper to the workbook this manufacturer runs on today.

The mapper needs enough operating and financial context to convert spreadsheet logic into a believable AI operating model and real EBITDA impact.

Company name Annual revenue (USD millions) Current EBITDA margin Facilities / plants

Workbook area to map first

Mapper assumptions

Starting point

Begin with the Excel files, trackers, and exports the team already uses.

Guaranteed minimum

5% EBITDA improvement within 12 months or the fee is refunded.

Value model

Recovered EBITDA is converted into a 6x to 10x enterprise-value range.

Delivery model

Excel mapping, loop-closure plan, integration milestones, and a queryable operations workspace.

Workbook tabs the mapper recognizes

Step 2 · Mapped AI gap analysis

Quantify what the spreadsheet is still carrying.

Each score reflects how much of the process still lives in spreadsheets, tribal knowledge, or delayed feedback instead of a closed loop.

Company

Mapped workbook focus

Guaranteed minimum

Modeled recovery

Excel mapper output

Loop severity

Score each process from managed to severely open loop.

1 = managed, 5 = severely open loop

Step 3 · Closed-loop blueprint

Move from spreadsheet coordination to a queryable operating system.

This step shows how the mapped workbook becomes real modules, a live operating design, milestone cadence, and deployment model.

Open loop today

Estimate using gut feel and incomplete cost context.

Schedule from static boards with poor feedback to purchasing and staffing.

Catch quality, close, and margin issues after the fact.

Closed loop with Aidren

Every quote, job, PO, defect, and dispatch writes back into the operating model.

AI predicts risk, recommends the next intervention, and updates execution in real time.

Leadership can query operations directly instead of waiting on manually assembled reports.

Mocked module build flow

Show how the mapped workbook becomes real modules.

Generated module stack

30 / 60 / 90 / 180 days

Implementation milestones

First workbook areas to convert

Deployment model

Initial intelligence layer

Step 4 · Value realization

This is the production story the platform should now tell.

The output now ties mapped spreadsheet logic to a guarantee, a deployment model, and a queryable end state.

Guaranteed EBITDA improvement

Modeled recovered EBITDA

Enterprise-value range

Close-cycle target

What changes in the platform story

Mapped workbook becomes queryable

Top process opportunities

Module build preview

Open Excel-Mapped Operations