Key Findings from the Forrester TEI study on WRITER

Key Findings from the Forrester Total Economic Impact™ study on WRITER

Inefficient processes, high costs, and compliance challenges are significant pain points for many enterprises. Promises of transformative AI are made to business leaders and decision-makers, but the reality often falls short. According to our 2025 enterprise AI adoption report, 73% of companies are shelling out at least $1 million a year on generative AI. Yet only a third of them are seeing any real payoff. Boston Consulting Group found similar sobering results — only 25% of companies are actually getting what they hoped for.

So where are the companies seeing real results, and how are they doing it?

At WRITER, our end-to-end AI platform delivers on the promise of AI with tangible results for some of the world’s biggest enterprise companies.

To get a clearer picture of the potential ROI that companies can achieve by partnering with WRITER, we commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study. They talked to some of our customers to get a detailed view of the financial benefits, costs, and risks of using WRITER. Find out how a composite organization representative of interviewed customers with experience using our enterprise-grade AI solution not only delivered a significant ROI but also boosted efficiency and supported data-driven decision-making.

Summarized by WRITER

How companies achieved a 333% ROI and $12.02 million NPV with WRITER

When evaluating a major tech investment, companies look for compelling evidence that the solution will deliver substantial returns, improve operational efficiency, and align with their strategic goals. They want to see clear, measurable outcomes that justify the cost and effort, ensuring the technology will make a meaningful impact on their business.

Forrester’s TEI study reveals that a composite organization representative of interviewed customers with experience using WRITER delivered a 333% ROI and a net present value of $12.02 million. These measurable results might seem like fiction to enterprises that have only experienced disappointment and POC purgatory, so let’s look at how these numbers were calculated.

Total benefits

Over the three-year period, the total benefits, risk-adjusted and discounted at 10%, amount to $15.63 million. This includes quantified benefits such as:

Total costs

But how long do enterprises need to wait to see a return on their investment? According to our 2025 enterprise AI adoption report, which surveyed 800 US enterprise leaders, 62% of executives think it will take at least three years for their company to see a return on investment from generative AI. WRITER proves this idea wrong.

The payback period for customers in the TEI study was less than six months. The total costs over the same period — again, risk-adjusted and discounted at 10% — total $3.61 million. Here’s the breakdown:

The net benefits, which are the total benefits ($15.63) minus the total costs ($3.61), amount to $12.02 million over three years. So yes, these impactful levels of ROI are possible. But not without the right vendor, change management, and reconstruction of core processes.

Delivering more efficient, in-house processes with less costly tools

Forward-thinking companies turn to WRITER because the cost savings directly result from improved processes. Want a more efficient workforce, the ability to keep things in-house, and a lighter tech stack? WRITER is the solution.

200% improved labor efficiencies

WRITER improved labor efficiencies for teams by 200%, which is where the bulk of that 333% ROI comes from. Interviewees shared that they noticed the most changes in the reduced time for creation, faster task completion, and an overall enhancement in team performance. Instead of being bogged down by routine tasks, teams can focus more on strategic initiatives that drive real business growth.

50% reduction in agency scope

When internal teams have more efficient processes, they can tackle more projects in-house, reducing their reliance on external help. The same vice president in the financial services industry did some simple math to show exactly how much that can save teams.

One full-time equivalent (FTE) freed up in legacy environment savings

Because WRITER is an end-to-end AI platform, teams that adopt WRITER usually decommission other legacy tools. One senior manager of artificial intelligence in the software industry said enterprise-wide tool consolidation led to six-figure savings.

Reducing review cycles and accelerating onboarding

Maintaining high standards and operational efficiency is crucial for any business. But onboarding new team members and conducting laborious compliance checks can drain productivity. WRITER accelerates review timelines and gets new hires up to speed much faster so that teams can focus on revenue-generating activities.

85% reduction in review time

WRITER speeds up the review process by reducing the time it takes for stakeholders and subject matter experts to review content by 85%. This is made possible through its real-time style guide and automatic compliance checks.

65% acceleration in new hire ramp-up

Onboarding new hires can be a lengthy process, but WRITER accelerated it by 65%. This shaved two weeks off a previous three-week onboarding period. WRITER helped new employees quickly get up to speed with their brand, style, content, and projects. This reduced the time it takes for new hires to become fully productive — allowing them to focus on more strategic tasks and build relationships from the start.

Looking beyond the numbers at unquantified benefits

Numbers and KPIs don’t capture every aspect of business value. WRITER brings some important benefits that are harder to quantify:

Experience unmatched levels of ROI with WRITER

Without the right infrastructure, organizations struggle to build, scale, and supervise AI agents. But as the TEI study reveals, enterprises can achieve significant levels of ROI — with WRITER.

WRITER empowers enterprises to create their AI HQ — where IT and business collaborate to build, activate, and supervise AI agents together without compromise, all in one place.