A Forrester Total Economic Impact™ Study Commissioned By Microsoft, July 2024
Economic pressures, such as rising costs and skilled labor shortages, are driving businesses to seek solutions that optimize efficiency and resource allocation. Automation platforms address this need by streamlining repetitive tasks, reducing human error, and boosting productivity while minimizing operational expenses. This allows businesses to do more with less, enhancing their ability to compete in a challenging economic landscape.
Microsoft Power Automate, part of the Power Platform, is a cloud-based automation solution designed to streamline manual tasks and workflows across a wide array of applications and services. Through its low-code interface, this solution empowers users to automate both individual tasks and end-to-end processes with robotic process automation (RPA) and digital process automation (DPA). Power Automate also comes equipped with AI Builder, a tool that enables users to add prebuilt or custom AI models to workflows, simplifying the process of creating intelligent automations.
Microsoft commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Power Automate.1 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Power Automate on their organizations.
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed seven representatives from six companies with experience using Power Automate. For the purposes of this study, Forrester aggregated the interviewees’ experiences and combined the results into a single composite organization, which is an organization with 30,000 employees and $10 billion in annual revenue.
Forrester assumes that the composite organization deploys both Power Automate and Microsoft Power Apps, a separate solution within the Microsoft Power Platform. While organizations can experience cost savings and productivity gains from using Power Automate as a standalone solution, businesses would also need to deploy Power Apps to get the full extent of the benefits shown in this study. The distinct benefits and costs of adopting Power Apps are presented in a separate Forrester TEI study.
Interviewees said that prior to using Power Automate, their organizations had a variety of automation solutions in place. However, the interviewees reported that the legacy tools were difficult to use, requiring extensive training and specialized knowledge to operate effectively. The incumbent products also did not integrate with the other applications and systems within the organizations’ infrastructures, which forced employees to create manual workarounds to workflow automations. These limitations prevented the interviewees’ organizations from pursuing automation opportunities, reducing efficiency and increasing expenses.
After the investment in Power Automate, the interviewees’ organizations gained the ability to automate tasks through two approaches. Interviewees said Power Automate enabled their organizations to streamline repetitive desktop tasks that they were not able to automate with their previous automation stacks.
For scenarios involving a significant degree of human engagement, these organizations leveraged the combined strengths of Power Automate and Power Apps. Power Automate’s robust workflow capabilities handled the automation logic, while custom applications built using Power Apps provided user-friendly interfaces for interacting with the process. Interviewees noted that this synergistic approach empowered their organizations to automate intricate workflows, improving efficiency and user adoption. Additionally, the adoption of Power Automate allowed the interviewees organizations to retire costly legacy automation tools, resulting in substantial cost savings for the interviewees’ organizations. The consolidation of automation tools under a single platform not only reduced licensing and maintenance expenses but also simplified management and support.
Quantified benefits. Three-year, risk-adjusted present value (PV) quantified benefits for the composite organization include:
Unquantified benefits. Benefits that provide value for the interviewees’ organizations but are not quantified for this study include the following:
Costs. Three-year, risk-adjusted PV costs for the composite organization include:
The representative interviews and financial analysis found that a composite organization experiences benefits of $55.93 million over three years versus costs of $16.08 million, adding up to a net present value (NPV) of $39.85 million and an ROI of 248%.
Return on investment (ROI)
Benefits PV
Net present value (NPV)
Payback
From the information provided in the interviews, Forrester constructed a Total Economic Impact™ framework for those organizations considering an investment in Power Automate.
The objective of the framework is to identify the cost, benefit, flexibility, and risk factors that affect the investment decision. Forrester took a multistep approach to evaluate the impact that Power Automate can have on an organization.
Interviewed Microsoft stakeholders and Forrester analysts to gather data relative to Power Automate.
Interviewed seven representatives at six organizations using Power Automate to obtain data about costs, benefits, and risks.
Designed a composite organization based on characteristics of the interviewees’ organizations.
Constructed a financial model representative of the interviews using the TEI methodology and risk-adjusted the financial model based on issues and concerns of the interviewees.
Employed four fundamental elements of TEI in modeling the investment impact: benefits, costs, flexibility, and risks. Given the increasing sophistication of ROI analyses related to IT investments, Forrester’s TEI methodology provides a complete picture of the total economic impact of purchase decisions. Please see Appendix A for additional information on the TEI methodology.
Readers should be aware of the following:
This study is commissioned by Microsoft and delivered by Forrester Consulting. It is not meant to be used as a competitive analysis.
Forrester makes no assumptions as to the potential ROI that other organizations will receive. Forrester strongly advises that readers use their own estimates within the framework provided in the study to determine the appropriateness of an investment in Power Automate.
Microsoft reviewed and provided feedback to Forrester, but Forrester maintains editorial control over the study and its findings and does not accept changes to the study that contradict Forrester’s findings or obscure the meaning of the study.
Microsoft provided the customer names for the interviews but did not participate in the interviews.
Consulting Team:
Matt Dunham
Role | Industry | Region | Number Of Employees |
---|---|---|---|
Product owner IT leader | Energy | North America | 30,000 |
Director | Professional services | US headquarters, global operations | >100,000 |
Automation leader | Financial services | North America | 25,000 |
Vice president | Entertainment | North America | 10,000 |
Head of automation | Pharmaceuticals | Europe | 7,000 |
Head of new product | Manufacturing | Global | >100,000 |
Prior to adopting Power Automate, the interviewees noted that their organizations had legacy automation tools in place, but they were not widely adopted. The interviewees noted how their organizations struggled with common challenges, including:
The interviewees’ organizations searched for a solution that could:
Based on the interviews, Forrester constructed a TEI framework, a composite company, and an ROI analysis that illustrates the areas financially affected. The composite organization is representative of the six interviewees, and it is used to present the aggregate financial analysis in the next section. The composite organization has the following characteristics:
Description of composite. The composite organization is a global organization with 30,000 employees and $10 billion in annual revenue. The organization adopts Power Automate to automate both discrete tasks and entire end-to-end processes and uses Power Apps to engage users throughout the process, ensuring widespread adoption of the automations developed. The composite organization gradually trains 1,800 automation builders on using Power Automate.
Ref. | Benefit | Year 1 | Year 2 | Year 3 | Present Value |
---|---|---|---|---|---|
Atr | End-user efficiencies from RPA | $4,032,000 | $5,376,000 | $6,720,000 | $13,157,265 |
Btr | End-user efficiencies from extended automation with Power Apps and Power Automate | $6,507,600 | $13,015,200 | $19,522,800 | $31,340,132 |
Ctr | Professional developer efficiencies | $789,750 | $789,750 | $789,750 | $1,963,991 |
Dtr | Reduced legacy system costs | $2,667,600 | $3,885,840 | $5,104,080 | $9,471,300 |
Total benefits (risk-adjusted) | $13,996,950 | $23,066,790 | $32,136,630 | $55,932,688 | |
Evidence and data. Interviewees shared that using Power Automate’s RPA capabilities helped their organizations automate tasks that were difficult to automate in their legacy tools. As a result, employees throughout the interviewees’ organizations saw significant time savings.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
Risks. The RPA time savings will vary depending on:
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $13.2 million.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|
A1 | Number of employees | Composite | 30,000 | 30,000 | 30,000 | |
A2 | Percentage of employees affected by RPA (high-impact use cases) | Interviews | 3% | 4% | 5% | |
A3 | Average number of hours saved with RPA (high-impact use cases) | Interviews | 200 | 200 | 200 | |
A4 | Total end-user hours saved with RPA (high-impact use cases) | A1*A2*A3 | 180,000 | 240,000 | 300,000 | |
A5 | Fully burdened hourly salary for an employee who sees time savings | TEI standard | $40 | $40 | $40 | |
A6 | Productivity recapture | TEI standard | 50% | 50% | 50% | |
A7 | Subtotal: End-user efficiencies from RPA (high-impact use cases) | A4*A5*A6 | $3,600,000 | $4,800,000 | $6,000,000 | |
A8 | Percentage of employees affected by RPA (medium-impact use cases) | Interviews | 12% | 16% | 20% | |
A9 | Number of users affected by RPA (medium-impact use cases) | A1*A8 | 3,600 | 4,800 | 6,000 | |
A10 | Hours saved per user annually (medium-impact use cases) | Interviews | 20 | 20 | 20 | |
A11 | Total hours saved with RPA (medium-impact use cases) | A9*A10 | 72,000 | 96,000 | 120,000 | |
A12 | Subtotal: End-user efficiencies from RPA (medium-impact use cases) | A11*A5*A6 | $1,440,000 | $1,920,000 | $2,400,000 | |
At | End-user efficiencies from RPA | A7+A12 | $5,040,000 | $6,720,000 | $8,400,000 | |
Risk adjustment | ↓20% | |||||
Atr | End-user efficiencies from RPA (risk-adjusted) | $4,032,000 | $5,376,000 | $6,720,000 | ||
Three-year total: $16,128,000 | Three-year present value: $13,157,265 |
Evidence and data. Beyond RPA, interviewees reported significant time savings by automating complex workflows with Power Automate. The solution allowed them to connect data from multiple sources, with or without APIs. The integration with Power Apps (another solution within the Microsoft Power Platform) fostered user adoption by providing custom interfaces for process interaction, helping them automate processes that required a high level of human engagement. Interviewees shared that while Power Automate handled core automation logic, Power Apps offered a platform to tailor user experiences for specific business needs.
By leveraging Power Automate’s integration with Power Apps, the interviewees recognized automation opportunities beyond RPA. In several cases, the interviewees’ organizations redesigned entire processes using the connection between Power Automate and Power Apps.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
Risks. The degree of time savings users will see from extended automation with Power Apps and Power Automate will vary depending on:
Results. To account for these risks, Forrester adjusted this benefit downward by 15%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $31.3 million.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|
B1 | Number of employees | Composite | 30,000 | 30,000 | 30,000 | |
B2 | Percentage of users impacted by high-impact extended automation use cases | Interviews | 4.4% | 8.8% | 13.2% | |
B3 | Average number of hours saved per user from extended automation with Power Apps and Power Automate (high-impact use cases) | Interviews | 250 | 250 | 250 | |
B4 | Total end-user hours saved with extended automation with Power Apps and Power Automate (high-impact use cases) | B1*B2*B3 | 330,000 | 660,000 | 990,000 | |
B5 | Fully burdened hourly rate for a business end user | TEI standard | $40 | $40 | $40 | |
B6 | Productivity recapture | TEI standard | 50% | 50% | 50% | |
B7 | Subtotal: End-user efficiencies from extended automation with Power Apps and Power Automate (high-impact use cases) | B4*B5*B6 | $6,600,000 | $13,200,000 | $19,800,000 | |
B8 | Percentage of employees impacted by extended automation with Power Apps and Power Automate (medium-impact use cases) | Interviews | 17.6% | 35.2% | 52.8% | |
B9 | Number of employees affected by extended automation with Power Apps and Power Automate (medium-impact use cases) | B1*B8 | 5,280 | 10,560 | 15,840 | |
B10 | Average number of hours saved per user from extended automation with Power Apps and Power Automate (medium-impact use cases) | Interviews | 10 | 10 | 10 | |
B11 | Total end-user hours saved with extended automation with Power Apps and Power Automate (medium-impact use cases) | B9*B10 | 52,800 | 105,600 | 158,400 | |
B12 | Subtotal: End-user efficiencies from extended automation with Power Apps and Power Automate (medium-impact use cases) | B5*B6*B11 | $1,056,000 | $2,112,000 | $3,168,000 | |
Bt | End-user efficiencies from extended automation with Power Apps and Power Automate | B7+B12 | $7,656,000 | $15,312,000 | $22,968,000 | |
Risk adjustment | ↓15% | |||||
Btr | End-user efficiencies from extended automation with Power Apps and Power Automate (risk-adjusted) | $6,507,600 | $13,015,200 | $19,522,800 | ||
Three-year total: $39,045,600 | Three-year present value: $31,340,132 |
Evidence and data. With Power Automate’s simple user interface, low-code functionalities, and integration capabilities, the interviewees reported that their organizations reduced the amount of effort required to build both cloud- and desktop-based automations.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
Risks. The professional developer time savings will vary depending on:
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $2.0 million.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 |
---|---|---|---|---|---|
C1 | Number of professional developers dedicated to managing internal workflows | Composite | 200 | 200 | 200 |
C2 | Percentage of time dedicated to developing automation workflows in prior environment | Composite | 25% | 25% | 25% |
C3 | Percent reduction in workflow automation development time | Interviews | 20% | 20% | 20% |
C4 | Fully burdened annual salary for a professional developer | TEI standard | $175,500 | $175,500 | $175,500 |
C5 | Productivity recapture | TEI standard | 50% | 50% | 50% |
Ct | Professional developer efficiencies | C1*C2*C3*C4*C5 | $877,500 | $877,500 | $877,500 |
Risk adjustment | ↓10% | ||||
Ctr | Professional developer efficiencies (risk-adjusted) | $789,750 | $789,750 | $789,750 | |
Three-year total: $2,369,250 | Three-year present value: $1,963,991 |
Evidence and data. The interviewees reported that after adopting Power Automate, their organizations were able to gradually eliminate their legacy automation tools. The interviewees’ organizations first migrated low-complexity automations to Power Automate, and then migrated other automations to Microsoft over the following years.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
Risks. The reduced legacy automation costs will vary depending on:
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $9.5 million.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|
D1 | Legacy costs for Automation solutions | E1*1.15 | $4,968,000 | $4,968,000 | $4,968,000 | |
D2 | Savings from retiring legacy tools with Power Automate | Interviews | 50% | 70% | 90% | |
D3 | Subtotal: Reduced legacy Automation costs | D1*D2 | $2,484,000 | $3,477,600 | $4,471,200 | |
D4 | Reduced legacy system support FTEs | Composite | 4 | 7 | 10 | |
D5 | Fully burdened annual salary for a system support FTE | Composite | $120,000 | $120,000 | $120,000 | |
D6 | Subtotal: FTE labor savings | D4*D5 | $480,000 | $840,000 | $1,200,000 | |
Dt | Reduced legacy system costs | D3+D6 | $2,964,000 | $4,317,600 | $5,671,200 | |
Risk adjustment | ↓10% | |||||
Dtr | Reduced legacy system costs (risk-adjusted) | $2,667,600 | $3,885,840 | $5,104,080 | ||
Three-year total: $11,657,520 | Three-year present value: $9,471,300 |
Interviewees mentioned the following additional benefits that their organizations experienced but were not able to quantify:
Ref. | Cost | Initial | Year 1 | Year 2 | Year 3 | Total | Present Value |
---|---|---|---|---|---|---|---|
Etr | Licensing costs | $0 | $4,752,000 | $4,752,000 | $4,752,000 | $14,256,000 | $11,817,521 |
Ftr | Implementation and training | $847,688 | $167,063 | $0 | $0 | $1,014,750 | $999,563 |
Gtr | Power Automate citizen developer training and ongoing management | $316,800 | $1,282,050 | $1,282,050 | $965,250 | $3,846,150 | $3,267,052 |
Total costs (risk-adjusted) | $1,164,488 | $6,201,113 | $6,034,050 | $5,717,250 | $19,116,900 | $16,084,136 | |
Evidence and data. Interviewees’ organizations incurred licensing costs for using Power Automate; licensing costs generally included cloud flows, desktop flows, AI builder credits, and Dataverse entitlements.
Modeling and assumptions. The composite organization incurs licensing costs of $4.3 million per year for Power Automate. The composite organization deploys both Power Automate and Power Apps; however, licensing costs for Power Apps are shown in a separate Forrester TEI report.
Risks. Licensing costs will vary depending on an organization’s size and use case. Contact Microsoft for a more detailed pricing estimate.
Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $11.8 million.
Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|---|
E1 | Annual licensing costs (Power Automate) | Composite | $4,320,000 | $4,320,000 | $4,320,000 | ||
Et | Licensing costs | E1 | $4,320,000 | $4,320,000 | $4,320,000 | ||
Risk adjustment | ↑10% | ||||||
Etr | Licensing costs (risk-adjusted) | $0 | $4,752,000 | $4,752,000 | $4,752,000 | ||
Three-year total: $14,256,000 | Three-year present value: $11,817,521 |
Evidence and data. Interviewees reported that their organizations incurred internal labor costs for implementing Power Automate and training professional developers during the adoption period.
Modeling and assumptions. For the composite organization, Forrester assumes the following:
Risks. The implementation and training cost will vary depending on:
Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $1.0 million.
Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|---|
F1 | Total software engineers involved in Power Automate setup | Composite | 20 | ||||
F2 | Time spent for planning and setup (months) | Composite | 10 | ||||
F3 | Percentage of time dedicated to Power Automate planning and setup | Composite | 30% | ||||
F4 | Fully burdened monthly rate for software engineers | Composite | $12,000 | ||||
F5 | Subtotal: Initial planning and implementation costs | F1*F2*F3*F4 | $720,000 | $0 | $0 | $0 | |
F6 | Initial number of Power Automate builders (professional developers) | Composite | 50 | 150 | |||
F7 | Power Automate training hours | Interviews | 12 | 12 | |||
F8 | Fully burdened hourly rate for professional developers | Composite | $84 | $84 | |||
F9 | Subtotal: Initial implementation/training for software engineers | F6*F7*F8 | $50,625 | $151,875 | $0 | $0 | |
Ft | Implementation and training | F5+F9 | $770,625 | $151,875 | $0 | $0 | |
Risk adjustment | ↑10% | ||||||
Ftr | Implementation and training (risk-adjusted) | $847,688 | $167,063 | $0 | $0 | ||
Three-year total: $1,014,750 | Three-year present value: $999,563 |
Evidence and data. Interviewees reported that in addition to professional developers, their organizations trained a number of nontechnical employees on how to build workflow automations. These automation builders were sometimes trained by technical employees, but often learned Power Automate through self-paced certification courses.
Interviewees also noted that a small team of professional developers were dedicated to managing Power Automate on an ongoing basis. These employees devoted time to building complex automations, providing maintenance support, conducting training, and establishing best practices for using Power Automate.
Modeling and assumptions. For the composite organization, Forrester assumes the following:
Risks. The training and ongoing management costs will vary depending on:
Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $3.3 million.
Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|---|
G1 | Number of citizen developers learning Power Automate | Composite | 600 | 600 | 600 | ||
G2 | Power Automate training (hours) | Composite | 12 | 12 | 12 | ||
G3 | Fully burdened hourly rate for a business end user | TEI standard | $40 | $40 | $40 | ||
G4 | Subtotal: Citizen developer training costs | G1*G2*G3 | $288,000 | $288,000 | $288,000 | $0 | |
G5 | Number of professional developers involved in ongoing management of Power Automate | Composite | 5 | 5 | 5 | ||
G6 | Fully burdened annual salary for a professional developer | TEI standard | $175,500 | $175,500 | $175,500 | ||
G7 | Subtotal: Ongoing management costs | G5*G6 | $0 | $877,500 | $877,500 | $877,500 | |
Gt | Power Automate citizen developer training and ongoing management | G4+G7 | $288,000 | $1,165,500 | $1,165,500 | $877,500 | |
Risk adjustment | ↑10% | ||||||
Gtr | Power Automate citizen developer training and ongoing management (risk-adjusted) | $316,800 | $1,282,050 | $1,282,050 | $965,250 | ||
Three-year total: $3,846,150 | Three-year present value: $3,267,052 |
The financial results calculated in the Benefits and Costs sections can be used to determine the ROI, NPV, and payback period for the composite organization’s investment. Forrester assumes a yearly discount rate of 10% for this analysis.
These risk-adjusted ROI, NPV, and payback period values are determined by applying risk-adjustment factors to the unadjusted results in each Benefit and Cost section.
Initial | Year 1 | Year 2 | Year 3 | Total | Present Value | |
---|---|---|---|---|---|---|
Total costs | ($1,164,488) | ($6,201,113) | ($6,034,050) | ($5,717,250) | ($19,116,900) | ($16,084,136) |
Total benefits | $0 | $13,996,950 | $23,066,790 | $32,136,630 | $69,200,370 | $55,932,688 |
Net benefits | ($1,164,488) | $7,795,838 | $17,032,740 | $26,419,380 | $50,083,470 | $39,848,552 |
ROI | 248% | |||||
Payback | <6 months | |||||
Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists vendors in communicating the value proposition of their products and services to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of IT initiatives to both senior management and other key business stakeholders.
Benefits represent the value delivered to the business by the product. The TEI methodology places equal weight on the measure of benefits and the measure of costs, allowing for a full examination of the effect of the technology on the entire organization.
Costs consider all expenses necessary to deliver the proposed value, or benefits, of the product. The cost category within TEI captures incremental costs over the existing environment for ongoing costs associated with the solution.
Flexibility represents the strategic value that can be obtained for some future additional investment building on top of the initial investment already made. Having the ability to capture that benefit has a PV that can be estimated.
Risks measure the uncertainty of benefit and cost estimates given: 1) the likelihood that estimates will meet original projections and 2) the likelihood that estimates will be tracked over time. TEI risk factors are based on “triangular distribution.”
The initial investment column contains costs incurred at “time 0” or at the beginning of Year 1 that are not discounted. All other cash flows are discounted using the discount rate at the end of the year. PV calculations are calculated for each total cost and benefit estimate. NPV calculations in the summary tables are the sum of the initial investment and the discounted cash flows in each year. Sums and present value calculations of the Total Benefits, Total Costs, and Cash Flow tables may not exactly add up, as some rounding may occur.
1 Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists vendors in communicating the value proposition of their products and services to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of IT initiatives to both senior management and other key business stakeholders.
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