As AI investment surges across professional services, you're likely exploring or already implementing AI solutions to streamline your proposal processes. While the allure of cutting-edge AI features is strong, there's a critical consideration that often gets overlooked: AI is only as good as the data you feed it.
No matter how sophisticated the AI technology, if your underlying data is fragmented, outdated, or inconsistent, you won't see the transformative results you expect. Therefore, before investing in a shiny new tool with all the bells and whistles, professional services firms should first ensure they’ve got the foundations in place: a single source of truth for their data. This is especially crucial when it comes to showcasing people and experience data.
In this blog, we’ll dive into why good data is everything when presenting your team, and why AI should be chosen to complement—not replace—the basis of great data.
Why people-centric AI is hard to get right
AI tools are fantastic at generating content about your firm’s overall capabilities. Take RFP questionnaires, for example. AI can do an excellent job at automating those repetitive requests. However, when it comes to generating content about your people, the story changes. Why? Because people’s experiences are dynamic. They’re always growing, evolving, and changing. Unlike static data points, resumes and CVs are living documents that require constant updates.
This unpredictability makes it incredibly difficult for AI to generate meaningful content for your team. Unless your team is constantly updating their CVs and resumes with their most recent achievements, the content quickly becomes stale. And if you’re feeding AI outdated or inconsistent data, the results will be equally flawed.
Let’s use an analogy to illustrate this better. Imagine you’re baking a cake. You have the best recipe, the most advanced oven, and the finest baking tools. But if your ingredients are mismatched or out-of-date, the cake will never be edible. Even one outdated ingredient can ruin the whole recipe. No matter how great it looks on the surface, when you cut into it, the contents will be rotten.
.png)
The same principle applies to AI-powered bid and proposal tools. Many platforms focus on flashy features and sleek interfaces, but if the data you’re working with is poor, the outputs will be equally subpar. Proposal evaluators can spot weak or inconsistent content from a mile away, and no amount of AI-generated polish can hide these substandard foundations.
The solution: creating a single source of truth for your experience data
At Flowcase, we have a laser focus on the notion that great AI starts with great data. That’s why we’ve built a platform that serves as a single source of truth for your firm’s most critical information—your team’s CVs, resumes, and case studies.
We make it effortless to get data in, with standardized inputs, and custom masterdata that ensures consistency and accuracy. CVs, resumes and case studies are inherently linked, ensuring project team members share the same content. Plus, when proposals are won, project data can easily be pushed into the platform and used for future bids, creating a flowing ecosystem that has consistency built-in.
With this foundation in place, our AI features can truly shine. Our Generative AI suite makes content updates seamless - whether it’s proofreading content, making it more concise, or translating accurately. Meanwhile, tools like Similar Profiles enables bid teams, helping them to utilize clean data to streamline their workflows.
These tools aren’t here to compensate for poor data; they’re here to enhance your already excellent content, making it even more impactful.
The bottom line: good data in, great results out
In summary, AI is a powerful tool for proposal professionals, but it’s not a magic wand. The quality of your outputs will always depend on the quality of your inputs. By focusing on the foundation—great data—Flowcase helps firms save time, reduce manual effort, and win more bids. And with our AI features, we’re taking great data and making it even better.
So, before you invest in the next shiny AI tool, ask yourself: Is your data ready to deliver the results you need?
.webp)
