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Demonstration · not a client result

AI agents and workflow automation what the deliverable looks like

The structure of the deliverable for AI agents and workflow automation, how it is produced and how you accept it, with a live specimen generated from the matching free tool’s worked example. Synthetic or permitted data only.

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DemonstrationSynthetic or permitted data

What this page isDemonstration

Practice
09 Data, analytics & automation
The deliverable
4 sectionsProduced in 5 stages, each with a review point
Data
Synthetic or permittedNot a client result

Demonstration of methodSynthetic or permitted data.Not a client result.

The deliverable, section by section.

What you receive, and what each part is for.

Section 01 of 04

Process map

Steps, inputs, systems and failure points.

Demonstration
Section 02 of 04

Working automation

For the agreed task, with human checkpoints where needed.

Demonstration
Section 03 of 04

Run logs and alerts

What ran, what failed and who is told.

Demonstration
Section 04 of 04

Handover

Runbook, access and training.

Demonstration

A live specimen.

Generated from the worked example in Automation ROI calculator: synthetic data, real method. Change the inputs in the tool to see your own.

Demonstration · synthetic data · not a client result

USD574net saving a month
7.0 monthsto break even
35 hstaff hours freed a month
USD9,766net value over 2 years
Time a month: gross capacity, what stays with a person, net capacity
Hours a monthHoursOf gross
By hand today: gross capacity50 h100%
Review: stays with a person6 h12%
Exceptions: stay with a person4.8 h10%
Maintenance: stays with a person4 h8%
Handed back: net capacity35.2 h70%
Cumulative net value over 24 months (USD)
-4k-1k3k6k10kM0M4M8M12M16M20M24
  • Automated, after all costs
Monthly cost, before and after
  1. By hand todayUSD 900
  2. Automated (review, exceptions, maintenance, running)USD 326
Two-year value with each input 25% lower or higher
  1. Minutes by handUSD 4,366 to USD 15,166
  2. Runs a monthUSD 5,533 to USD 14,000
  3. Staff costUSD 5,965 to USD 13,568
  4. Build costUSD 10,766 to USD 8,766
  5. Review timeUSD 10,414 to USD 9,118
  6. Exception rateUSD 10,285 to USD 9,248
  7. Running costsUSD 10,126 to USD 9,406

Line: base case, USD 9,766.

What it means

  • Strength: Break-even in about 7.0 months.
  • Note: Time saved is only value if it is used.Decide in advance what the freed hours will be spent on.

How it is produced, and accepted.

Each stage ends in something you review; acceptance is tested against criteria agreed at the start.

  1. 01

    Inputs

    List the inputs, systems and access.

    Review pointInputs listed, with owners and access confirmed.

  2. 02

    Validation

    Validate the process and its edge cases.

    Review pointData validated, with exceptions logged.

  3. 03

    Analysis/build

    Build the automation with error handling.

    Review pointAnalysis or build checked against the agreed definitions.

  4. 04

    Acceptance

    Test with real cases and accept.

    Review pointAcceptance tested by the people who will use it.

  5. 05

    Operation

    Operate with monitoring and a review date.

    Review pointOperation handed over with a runbook and a refresh plan.

How proof is labelled

  • DemonstrationsDemonstrations use synthetic or permitted data.
  • Documented experienceDocumented experience is attributed to the organisation that held the work.
  • Measured resultsMeasured results are added only once they have been measured; none are shown yet.

What needs to move forward?

Tell us the decision, the challenge or the opportunity. We reply with a scoped approach, a named principal and a fee before any work begins.

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