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A CFO’s Guide to Vetting AI Vendor Outcome Guarantees

In today’s enterprise landscape, nearly every AI vendor claims to offer ‘guaranteed’ results. This creates a significant challenge for business leaders, especially CFOs, who are tasked with ensuring every technology investment delivers a measurable return. The promises are loud, but the definitions are vague, making it difficult to distinguish a genuine commitment to value from a standard software assurance.

The reality is that not all AI guarantees are created equal. They exist on a spectrum, ranging from basic technical uptime assurances to contractually-obligated partnerships focused on business transformation. This guide provides a clear, three-tiered framework for executives to dissect these claims, identify the risks, and understand what is actually being promised. It’s a playbook for moving beyond the hype and finding a partner who is truly willing to guarantee business outcomes.

Tier 1: Technical Guarantees – The Price of Entry

Tier 1 guarantees are the most common and foundational level of assurance offered by technology vendors. These are best understood as Service Level Agreements (SLAs) that focus exclusively on technical performance. According to industry definitions, an SLA is a formal document outlining measurable metrics like uptime, system availability, and support response times. As an article on CIO.com notes, these agreements define responsibilities and set expectations, but they are centered on the technology’s operational status.

For an AI workforce, a Tier 1 guarantee might promise 99.9% uptime or a four-hour response time for critical issues. While essential for any enterprise-grade software, these guarantees only ensure the tool is available—they make no promise about the value it creates. An AI system can be running perfectly and still fail to improve efficiency, reduce costs, or drive revenue. For this reason, technical SLAs should be viewed as table stakes. They are the price of entry for any serious vendor, not a meaningful differentiator for an AI partner expected to deliver transformative results.

Tier 2: Activity-Based Guarantees – Guaranteeing Effort, Not Outcomes

Tier 2 represents a step up from purely technical assurances. These guarantees are tied to a volume of output or a specific set of activities. For example, a vendor might promise their AI will ‘process 10,000 invoices per month,’ ‘resolve 5,000 customer support tickets,’ or ‘send 20,000 outreach emails.’ This level of guarantee confirms the AI is doing something, which seems more valuable than simply being online.

However, this model still places the most significant risk squarely on the client. Guaranteeing activity is not the same as guaranteeing value. This approach is analogous to tracking ‘vanity metrics’—data points that look impressive but don’t correlate to business success. As experts at WebFX point out, focusing on such metrics can create an illusion of success without providing actionable insights. An AI that processes 10,000 invoices with a high error rate is creating more work, not less. An AI sales development representative that sends thousands of emails without generating a single qualified lead is just a cost center. Tier 2 guarantees effort, but the client is left hoping that effort translates into a meaningful outcome.

Tier 3: Business Outcome Guarantees – The Gold Standard of AI Partnership

Tier 3 is the gold standard of AI partnership, where a vendor moves beyond guaranteeing uptime or activity and instead guarantees measurable business results. These guarantees are tied directly to the KPIs that a CFO and the board of directors care about, such as ‘reduce operational costs in claims processing by 15%,’ ‘increase customer satisfaction scores by 10 points,’ or ‘decrease days sales outstanding by 20%.’

This model, often structured as an outcome-based contract, signifies a true partnership where the vendor shares financial risk with the client [1]. It demonstrates a vendor’s profound confidence in their solution’s ability to deliver. This is the model Qurrent is built on. We deliver custom-engineered AI workforces designed to achieve specific, predetermined business results. Our approach is to operate as a seamless extension of your team, which is why we can stand behind our work with a 100% success rate in complex enterprise environments. A Tier 3 guarantee aligns the vendor’s success directly with the client’s, transforming the relationship from a simple transaction to a shared mission for value creation.

The CFO’s Due Diligence Checklist for Vetting AI Guarantees

When evaluating a potential AI partner, financial leaders must ask probing questions to determine which tier of guarantee is truly on offer. Use this checklist to cut through the sales pitch and assess the substance of a vendor’s promise.

  • Is the guarantee tied to a business KPI we track, or a technical/activity metric? A true partner will tie their success to your P&L, balance sheet, or key operational metrics, not their system’s uptime or output volume.
  • What are the specific, contractual remedies if the guaranteed ROI is not met? Ask for clarity on fee reductions, performance credits, or termination rights. A vague promise without a contractual penalty for failure is not a guarantee.
  • How will the baseline KPI be measured, and how will ongoing performance and improvement be tracked and reported transparently? The vendor should provide a clear plan for establishing a baseline and a transparent dashboard for monitoring progress against the target outcome.
  • Does the vendor’s methodology show a clear path to achieving our specific outcome, or is it a one-size-fits-all tool? A credible guarantee is backed by a bespoke approach. At Qurrent, our methodology is built around engineering a solution for your unique processes and objectives.
  • Are we entering a partnership focused on shared success, or are we simply purchasing a product and hoping it works? The nature of the commercial agreement and the tone of the conversation will reveal whether the vendor is a true partner or just a provider.

Proof in Practice: What a Tier 3 Guarantee Looks Like

A Tier 3 guarantee isn’t theoretical; it’s demonstrated through tangible results. The focus shifts from what the AI does to what the AI achieves. This is the core of why clients partner with Qurrent.

For example, in our work with Roofstock, the goal wasn’t just to ‘process move-out workflows’ (a Tier 2 activity). The guaranteed outcome was to achieve significant time savings and improve resident communication, which directly impacts operational efficiency and brand reputation. Similarly, our engagement with Pacaso was centered on delivering improved customer satisfaction and reduced operational costs—clear, measurable business outcomes that define a Tier 3 partnership.

These case studies illustrate the difference between deploying a tool and deploying an outcome-driven AI workforce. The latter requires a deep understanding of the business problem and a commitment to solving it, backed by a commercial model that ensures accountability.

Conclusion: Demand a Partner, Not Just a Provider

As AI becomes integral to business operations, the promises made by vendors will only grow bolder. By categorizing guarantees into three tiers—Technical, Activity-Based, and Outcome-Based—leaders can effectively assess the level of risk and accountability a vendor is willing to assume.

Technical and activity-based guarantees leave the burden of creating value on your shoulders. Only a Tier 3 business outcome guarantee aligns the vendor’s success with your own, creating a powerful partnership for transformation. The future of business automation will not be built on tools that simply function; it will be built on trust, transparency, and measurable value. When evaluating your next AI investment, use this framework to demand a partner who is willing to stand behind their work with a guarantee that truly matters to your bottom line.

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Tony Ko

Founding Member, SVP Customer & GTM

For over two decades, Tony has been driven by a vision to transform businesses through the power of technology. A seasoned leader with a deep understanding of data, product, and AI, Tony has consistently
sought out opportunities to apply emerging technologies to solve complex, real-world problems. Prior to joining Qurrent, as the Global Managing Director of AI at Slalom, he spearheaded the development
of the company’s global AI practice, building and leading high-performing professional services teams that delivered impactful AI solutions to enterprise clients worldwide. As SVP of Customer & GTM at Qurrent, Tony continues to champion the transformative potential of AI, empowering businesses to thrive in an increasingly competitive landscape.

August Rosedale

CTO & Co-Founder

August has been building with AI since 2020, working with large language models and training image models from the ground up. While in college, he founded Mirage Gallery, one of the first generative AI-native art platforms, which gained widespread recognition and a thriving collector base. A lifelong entrepreneur with a Mechanical Engineering degree from Santa Clara University, he filed his first patent in high school and has always focused on real-world applications of emerging technology. As the CTO and Co-Founder at Qurrent, he leads all engineering and technology development, driving innovation in AI-driven automation systems.

Colin Wiel

CEO & Co-Founder

Colin is a seasoned entrepreneur who has been working deeply with AI since the 1990’s. Colin’s previous ventures include Mynd, a tech-enabled platform for single-family rental investments named the fastest growing Bay Area company in 2020, and Waypoint Homes, which raised over $3.5 billion and managed 17,000 homes before going public on the NYSE in 2014. Recognized for his innovations in AI, Colin holds multiple patents, earned a spot on Goldman Sachs’ Top 100 Most Innovative Entrepreneurs, and was named Ernst & Young Entrepreneur of the Year.

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