MT400 Unit 8 Automation Business Case Example

Reviewed by Chester Goodwin, MBA Business Process Management Purdue University Global Free custom sample in 24 to 48h

What a workflow platform adds after the redesign, not before it, is the question this MT400 Unit 8 automation business case sets for a composite window installer. Every benefit is counted as an increment over the redesigned process piloted in Lincoln, because measuring against today's process would credit software with gains the redesign already delivers; a second run against the old process shows a value of about 267,000 dollars that is mostly borrowed. Benefits and costs enter as ranges, 10,000 trials are run, and the median net present value over five years at 9 percent lands near 42,300 dollars, negative in about one trial in ten. Saved office hours drive the result. Purdue Global MT 400 assigns this case in its BS in Business Administration process sequence.

CourseMT400 Business Process Management
UnitUnit 8
Paper typeAutomation business case
LengthAbout 1,100 words, 7 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramBS in Business Administration
UpdatedOctober 2026

Free sample paper for MT400 Unit 8

1

What Software Adds After the Redesign: An MT400 Unit 8 Automation Business Case Tested by Simulation

[Student Name]

Purdue University Global

MT400: Business Process Management

Unit 8 Automation Business Case

[Instructor Name]

[Date]

The company, costs and benefit ranges are composite; results come from the stated simulation script, and the sources cited are real.

What this part is doingNaming the baseline question in the lead tells the reader the case will not credit software with the redesign's gains.
2

Executive Summary

The request is a workflow platform at about 96,000 dollars to implement and 38,400 dollars a year in subscriptions. Over five years at a 9 percent discount rate, the simulation gives a median net present value of about 42,300 dollars, with a 10th percentile close to zero and a 90th percentile near 88,600. The investment pays back in about three years in the median trial, and in about one trial in ten it loses money. The result depends most on re-keying savings: if only 40 percent of the office hours saved turn into real savings, the case fails in nearly every trial.

Choosing the Baseline

The baseline gets its own section because it decides the answer. Measuring the platform against today's process would credit it with gains the redesign already delivers for the price of training: the measure booked at the kitchen table, the dropped signature, the certificate signed at the walkthrough. Hammer (1990) warned against automating a process before redesigning it, and the same logic applies to the business case. The baseline is therefore the redesigned process from Unit 7, as piloted in Lincoln, and every benefit below is an increment over it. To show why this matters, a second simulation runs the same platform against the old process; its median net present value is about 267,000 dollars, a figure that would look persuasive and would be mostly borrowed from the redesign.

Benefits, as Increments and Ranges

Each benefit is entered with a low, likely and high value and its source.

Re-keying hours saved: the platform carries measure data, orders and completion records between departments without retyping. Office staff estimate 2,000 to 3,100 hours a year, likely 2,600, at a loaded cost of 30 dollars an hour. Only part of those hours become real savings, through reduced overtime or not filling a vacancy, so a realization share of 50 to 95 percent, likely 75, is applied. The likely value is about 58,500 dollars a year.

Remakes: the platform's field validation is expected to cut the remake rate by a further 0.3 to 1.0 points beyond the redesign, likely 0.7, on about 6,500 units a year at 360 dollars per remake, about 16,400 dollars a year at the likely value.

Return visits: a further 1 to 3 points, likely 2, on 1,300 jobs at 290 dollars a visit, about 7,500 dollars.

Time to payment: a further 1 to 4 days, likely 3, faster than the redesigned process, on 13 million dollars of annual revenue at a 9 percent cost of capital, about 9,600 dollars a year.

Costs

Implementation is entered as 88,000 to 115,000 dollars, likely 96,000, from two vendor quotes and an internal estimate of staff time. The subscription is 38,400 dollars a year. Tablets for crews are refreshed in year four at 14,000 dollars.

The Simulation

A short Python script in the appendix draws each uncertain input from a triangular distribution defined by its low, likely and high values, applies a first-year adoption ramp of 40 to 60 percent of full benefits, computes five years of cash flows and discounts them at 9 percent. It repeats this 10,000 times. A triangular distribution is a simple, transparent choice when only a range and a most likely value can be estimated, and the script prints every input beside the results so a reader can rerun it.

The software's case rests on office hours turning into money, and the simulation shows how narrow that bridge is.

What this part is doingIdentifying the single assumption the case rests on gives the reader the question to ask before approving it.
3

Results

The histogram of net present values centers near 42,000 dollars, with the 10th percentile at about 700 and the 90th at about 88,600. About 10 percent of trials are negative. Payback falls in year three in the median trial. The spread is wide relative to the median, which is the honest finding: the platform is more likely than not to repay its cost, but the margin is thin and could disappear if the largest assumption proves optimistic.

Which Assumptions Move the Result

A ranked chart shows how strongly each input moves the result. Re-keying savings dominate, with a correlation of about 0.88 with net present value. Remake reduction follows at about 0.34, the working-capital effect at about 0.21, implementation cost at about minus 0.18 and return visits at about 0.15. Rerunning the simulation with realization fixed at 40 percent drops the median net present value to about minus 44,000 dollars, negative in nearly every trial.

What the Platform Would Change in Daily Work

The numbers rest on concrete changes in how people work. Technicians would enter measurements on a tablet with required fields for site conditions, so the notes problem found in Unit 4 could not recur. Order entry would receive orders already structured, checked against the manufacturer's catalog for impossible sizes. Schedulers would see kit status update as units are received. Crew leads would capture the completion certificate in the same app. Accounting would invoice from the certificate without retyping. Dumas et al. (2018) describe process-aware information systems in these terms: their value comes from enforcing the process's own rules at each step, which is why the platform is configured to the redesigned process rather than the other way round.

What Would Change the Answer

Three developments would strengthen the case: a vendor price below 30,000 dollars a year, evidence from the pilot that order entry hours are already falling, or a decision to open a fourth showroom, which would spread the fixed cost. Two would weaken it: a manufacturer portal that already handles ordering, or a realization share that cannot be supported by named savings.

Recommendation

Approve the platform on one condition: before signing, the office manager names which hours will be saved and how, such as overtime eliminated or a vacant order-entry position left unfilled. If no more than 40 percent of the estimated hours can be named, do not proceed. Davenport (1993) argued that information technology creates value when it enables a redesigned process, not when it is laid over an old one, and the condition ensures the savings are real rather than assumed.

Limits

The ranges are estimates from staff and vendors, not measured results, and triangular distributions understate the chance of extreme outcomes. Some benefits resist pricing, such as better information for managers, and are left out, which makes the case conservative.

What this part is doingClosing on what was left out tells the reader which way the uncertainty leans.
4

References

Davenport, T. H. (1993). Process innovation: Reengineering work through information technology. Harvard Business School Press.

Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2018). Fundamentals of business process management (2nd ed.). Springer. https://doi.org/10.1007/978-3-662-56509-4

Hammer, M. (1990). Reengineering work: Don't automate, obliterate. Harvard Business Review, 68(4), 104-112.

The Purdue Global MT400 Unit 8 instructions

Unit 8 asks students to build a business case for automating part of the redesigned process. Instructors expect costs and benefits to be estimated with stated sources and at least one standard measure, commonly payback or net present value. The baseline matters more than students expect: the comparison should be against the process as it will run after the redesign, not as it runs today. Uncertain inputs are better shown as ranges or scenarios than as single figures. Many sections reward identifying the one assumption the result depends on most. The case should describe how daily work would change with the system, not only what it costs. It should end with a recommendation, and conditions on approval are welcome where the evidence is thin. Spreadsheets, code or plain tables are all acceptable formats.

How this MT400 Unit 8 example is built

An executive summary opens the sample with the median result, its spread and the assumption it hinges on. A separate section explains the choice of baseline, citing Hammer, and shows the borrowed value from a run against the old process. Benefits follow as ranges: re-keying hours with a realization share, remakes, return visits and time to payment. Implementation, subscription and tablet costs come next. The simulation section explains triangular distributions and a first-year ramp, under a highlighted line about how narrow the bridge from hours to money is. A ranked chart shows re-keying savings moving the result most. Further sections describe daily work with the platform, citing Dumas and colleagues, and what would change the answer. The recommendation, after Davenport, approves on one named condition.

Where the points sit in the MT400 Unit 8 rubric

Automation cases are usually graded on a correct baseline, sourced estimates, a sound financial measure, honest treatment of uncertainty and a recommendation that follows from the numbers. Measuring against the current process is the error graders flag most, because it credits software with the redesign's gains. Rubrics reward ranges or scenarios over single point estimates. Credit goes to ranking the inputs by how far each one swings the value, then testing the top one at its worst. Describing how work changes at each step shows the system was designed to the process. A conditional approval that names what must be true earns judgment points. Points also go to clear charts, a script or sheet another reader could rerun, limits stated plainly and APA 7 references.

Common MT400 Unit 8 mistakes, and how to avoid them

The most common weak case compares the new system with the old manual process and reports a large return, most of which came from redesign rather than software. Another frequent error lists vendor prices and stops, leaving out implementation help, training time and refresh costs. Students often count every hour saved as cash, though hours only become savings when overtime falls or a position is left unfilled. Single estimates with no range make a thin case look certain. Recommendations sometimes ignore the paper's own figures. Before submitting, rerun your model with the most important assumption at its pessimistic value. If the answer turns negative, say so and set a condition for approval rather than hoping the reader will not check. A smaller honest case is graded better than a large one that collapses under one question.

Get an MT400 Unit 8 example written to your instructions

Numbers decide an automation case, so the free first custom sample is modeled on the redesign and cost figures in your Unit 8 prompt, in code, in Excel or in plain tables, per your instructor. Every assumption is listed against the rubric, with delivery in 24-48h; payback alone, with no simulation, is equally possible. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.

More MT400 papers and BS in Business Administration samples

MT400 Unit 8 questions, answered

Is a simulation expected in an MT400 automation business case?

Rarely required. Most sections ask for costs, benefits and at least one standard measure such as payback or net present value. A simulation, or even three scenarios, shows how uncertain the result is, which helps when benefit estimates are soft. If you use one, explain it in plain language and show every input range.

What should the baseline be for an automation case?

Normally the process as it will run without the system, which after a redesign is not the same as today's process. Comparing against the old process credits software with improvements that reordering already delivered. State your baseline explicitly and explain the choice, since graders in this course often check exactly that.

What if the case gives no vendor price?

Use a published price range for comparable tools, cite it, and treat it as a range rather than a quote. Add the costs vendors rarely list: implementation help, data migration, training time and a period of running old and new side by side. Label every figure you estimated so a reader can adjust it.

Where can I find a free MT400 Unit 8 sample paper?

The full MT400 Unit 8 automation business case is on this page, testing a workflow platform for a window installer with a 10,000-trial simulation.

What happens in the MT400 Unit 8 sample if only 40 percent of saved hours become savings?

The median net present value falls to about minus 44,000 dollars and the case fails in nearly every trial, which is why approval carries a condition.