Closing the Gap: Aligning AI Expectations with RFP Realities

Organizations are under constant pressure to implement the latest technologies to keep up with their competition and drive innovation. But in the race to deploy AI-driven solutions, there can be a disconnect between the promises made by AI and the day-to-day experiences of those using it.

In the response management space, request for proposal (RFP) teams are increasingly adopting AI tools to save time and streamline cumbersome processes, according to Loopio’s 2026 RFP Response Trends & Benchmarks Report. Yet friction exists between executives’ expectations and their proposal team’s workload, which can lead to lower AI adoption rates, employee frustration and even burnout.

The Growing Expectations

Executives often see AI as an automatic productivity booster, simplifying processes and driving better results, yet proposal teams only respond to 55% of the RFPs they receive. Misaligned expectations are often the source of this disconnect, executives expect AI to save time, but it can instead add complexity. AI tools require extra training, content specializations, and integration adjustments to work properly. These added tasks slow down progress rather than speed it up.

In addition, some organizations push their teams to “do more with less” when adopting AI, expecting it to increase speed and productivity without providing employees with enough support, such as upskilling, solution onboarding, and ongoing access to solution specialists.

Proposal teams typically juggle multiple complex RFPs with tight deadlines. Adding pressure to do more with AI without adequate resources can actually increase their workload and cause further stress. For example, content generated by general-purpose AI tools can also require significant human edits and fact checking, which adds strain and uncertainty to the proposal process, rather than relieving it.

But change is happening, and fast. AI adoption in response management is growing year-over-year. Now, 80% of teams are using AI in their RFP process, and 84% use it weekly, according to the 2026 RFP Trends Report.

Embedding AI Into Workflows: A Long-Term Solution

To truly unlock AI’s potential, organizations need to move beyond short-term fixes and embed purpose-built AI tools into their workflows and business processes to create enduring solutions. This means integrating the right AI tools in a way that is sustainable, flexible, and adaptable to the evolving needs of the proposal team.

It requires a mindset shift not only for executives—proposal teams must understand AI’s value beyond “just a tool” to recognizing it as a core component of their company’s infrastructure.

Proposal teams also need to see how AI will directly benefit them within their workflows, freeing them up to work more efficiently so they can focus on the revenue-generating RFPs that make them strategic partners to the business.

On the other hand, executives and AI champions must also take the time upfront to invest in internal change management, and to support their employees throughout the onboarding of any new AI tools.

These critical steps will help:

• Prevent AI from adding complexity to their teams’ workflows
• Secure buy-in from those who will use the solution
• Boost user adoption rates
• Reduce employee burnout

AI should support teams over the long term by continuously:

• Automating repetitive, manual tasks
• Fine-tuning individual performance
• Removing process bottlenecks
• Surfacing strategic insights

The result is a smoother, more efficient workflow.

Organizations need to think strategically about how AI will fit into their long-term goals. It’s about adopting AI not just as a set of tools but as a foundational pillar that supports how teams create and collaborate. This ensures that AI adoption is not only effective in the short term but will continue to drive value in the years to come.

Here’s how both executives and proposal teams can align their expectations and adopt AI without increasing team fatigue.

Aligning Realistic Expectations

Clear communication between leadership and proposal teams is critical for any form of long-term success.

Executives may expect AI to immediately streamline the process, but proposal teams might need more support to integrate AI into their workflows. This can be provided with additional resources, including vendor-assisted onboarding and training, all while understanding and accepting the real-world limits of AI adoption.

To set clear and realistic expectations, executives must first understand that AI is a tool. It’s an important one, but its potential can only be realized when the team using it is properly trained and resourced. Clear communication and consistent support is critical to help proposal teams navigate this shift.

This means not only providing purpose-built AI solutions but also investing in the people who will be using them. Proposal teams need time to adjust to new technologies, so your change management model will need to take into account where you are on the spectrum from manual to modern processes.

With the right strategy and appropriate resources, integrating purpose-built AI solutions into your proposal team’s workflows can lead to sustainable, long-term adoption that helps teams focus on the strategic, high-impact work.

The Foundation: Centralize Your Trusted Content

According to the 2026 RFP Trends Report, the percentage of teams using ChatGPT for response work has dropped by 8%. In contrast, the use of AI integrated into RFP software has risen to 43%, up from 33% last year. This shift suggests that teams are realizing generalist AI tools don’t fully meet the complex demands and compliance requirements of response management.

This demonstrates that while AI isn’t a silver bullet; it should be a key piece of your strategy to optimize the proposal process. You also need to implement a supportive infrastructure for proposal teams to experience meaningful gains from AI.

AI tools work better for proposal teams when they are purpose-built for their function. Proposal teams want to reduce redundancy and repetition in their workflows, while making sure every response is compelling and customized. AI can absolutely help with this—at speed and scale—if it uses centralized content pulled from a trusted source.

If content is scattered and siloed across the organization, AI technology won’t assist them as effectively and teams will remain frustrated.

With centralized content, it’s much easier to ensure that AI can support the most important parts of the RFP process, rather than wasting time recreating content that already exists.

Proposal teams can also trust that their AI is always working with the most up-to-date, vetted, and relevant materials. Whether it’s standardized responses, templates, or legal disclaimers, centralized content can enhance AI’s impact on the RFP process.

Rooted in Reality: Close Your AI Expectations Gap

AI use in proposal management should enhance productivity without causing additional stress. And when AI is integrated thoughtfully—with realistic expectations—it can become a valuable asset to proposal teams. That’s why AI adoption must be intentional and implemented with alignment between proposal teams and leadership.

Ultimately, AI is an exciting opportunity for proposal teams, but it’s important to keep expectations grounded.

As the more than 1,500 respondents in the 2026 RFP Trends Report reveal, AI is a valuable tool, but the key to long-term success lies in aligning expectations and providing teams with the resources they need to make the most of these solutions.

With the right strategy, purpose-built AI can streamline the RFP process, boost productivity, and lead to more wins, all without pushing proposal teams to the breaking point.