AI has been a hot topic in recent years, with nearly $180 billion invested in big data tools and technologies. However, recent studies suggest that the majority of AI Agents are set up to fail. So, what is a B2B AI agent? Why are they failing? And what can you do to prevent your investment from falling through?
Common AI Agent Questions
Answer
What is a B2B AI Agent?
A B2B AI Agent is a tool that automates outreach, streamlines workflows, and personalizes customer interaction by leveraging existing B2B prospect and customer data.
What is AI Data?
AI data is data that has been augmented properly and is ready to import to your machine learning platform.
What are the effects of bad data?
In short, your bad data will be amplified by AI. Some effects you will need to consider are loss in revenue, sales productivity, and misaligned marketing messaging.
What can you do to maximize your B2B AI Agent?
By investing in a data vendor like EBQ, you can make sure your B2B data is clean, updated, and ready to fuel your sales and marketing AI tools.
Beginner’s Guide to B2B Sales Data Management
Learn everything you need to know about collecting prospect data and maintaining the health of your database.
What is an AI Agent?
An AI agent is a tool that automates outreach, streamlines workflows, and personalizes customer interactions by leveraging existing prospect and customer data.
In other words, data powers AI agents to execute their jobs seamlessly. Data also helps these AI agents identify patterns and make predictions to foster better data-driven decision-making.
Why are 95% of AI Agents Failing?
To put it simply, most AI projects fail because of bad data. AI needs to be fed quality data, but that’s lacking in today’s business environment.
In fact, over 80% of surveyed companies still struggle with AI data quality. AI data is data that has been structured properly and is ready to be implemented into learning machines.
As a result, Gartner predicts that 60% of AI projects will be abandoned because it is unsupported by AI-ready data. In fact, the majority of surveyed companies are either unsure or do not have the right data management practices for AI. So, how do you convince executives to care about data quality?
What are the effects of bad data?
In short, bad data leads to loss of revenue. Gartner estimates that organizations lose $12.9 million annually due to poor data quality.
But bad data is more than just a bottom-line issue. It can impact operational inefficiencies that lead to wasted resources, time, and potential:
- Wasted resources on the wrong prospects: B2B data mistakes can waste more than 25% of a sales representative’s time — time that could have been spent closing deals and building relationships.
- Poor personalized messaging: AI needs to be able to pull accurate data to create more effective dynamic messaging.
- Wasted time on manual intervention: AI is supposed to accelerate processes, but if your team has to go in and intervene before an automation triggers, then it defeats the purpose of investing in AI tools in the first place.
Subscribe to EBQ's Bimonthly Newsletter
Subscribe to EBQ's Bimonthly Newsletter
How clean data lists lead to effective AI Agents
Winning organizations use clean, standardized, and reliable AI-ready data to fuel their machine learning investments. After all, AI is a multiplier — not a magician. A B2B AI project can ultimately amplify good or bad results depending on your data hygiene.
This is where EBQ’s data team comes in: our data technicians are trained to create a custom AI-ready prospect list for you to feed your sales and marketing machine learning platforms.
- Data Cleansing: Send over your current list of prospects, and we’ll run it through our proprietary verification system to ensure your revenue-driving teams are only using the most relevant contact data points.
- Data Enrichment: Our data specialists enhance your existing records with up-to-date firmographic, demographic, and technographic details, creating a complete picture of every prospect for smarter automation and outreach.
- Custom Contact Building: Build and maintain your own contact database with ease by leveraging our data technicians’ ongoing support. We make sure we grow with your business needs and adjust our targets accordingly.
EBQ Tip: Do you have a CRM platform — such as Salesforce or HubSpot? Our CRM admins can also help you make sure your CRM data is clean and regularly updated.
EBQ = The Foundation of B2B AI Success
In short, the reason why most AI projects are doomed from the start is because of bad data. After all, AI is a system: bad input leads to bad results.
EBQ’s data team is more than just a contact scraper. We take your sales qualification criteria into account and make sure we are finding the right target decision-makers’ contact information with you. Our AI-ready prospect lists are even ready for your sales machines.
About the Author:
With over 20 years in IT, Chris (VP of Data Services at EBQ) has a rich background, including military service as an Air Force developer and hardware work at Google. At EBQ, he has boosted data productivity by 550% and takes pride in mentoring entry-level specialists into leaders.