Customer Stories 
Summary
Since 2018, BMC has been on a mission to transform its hiring strategy with Avature. Starting with ATS, the organization expanded its capabilities by adopting our full AI-driven talent acquisition suite—introducing CRM in 2019 and Onboarding in 2020. Most recently, BMC has leveraged a custom-built internal project tracking system, a game-changing innovation that streamlines HR operations.
Along their transformation journey, BMC saw an opportunity to boost efficiency further, minimize manual tasks and gain deeper data insights by implementing AI-powered tools like resume parsing, skills matching and automated content creation.
The impact? Faster, more accurate hiring decisions, an improved experience for candidates and stakeholders and greater autonomy for the talent acquisition team.
However, the journey continues—BMC is now exploring Avature’s agentic AI features to push the boundaries of AI-powered recruitment. Read on to learn about their transformation.
About the Company
For over 40 years, BMC has helped Fortune 500 companies innovate with advanced technology, supporting critical infrastructure and essential operations across industries like food delivery and air travel. With 6,000 employees, the organization enables its customers to build autonomous digital enterprises by supporting automation, operations and service management.
A Growing Challenge in Hiring Efficiency
Although Avature had already delivered meaningful improvements, BMC was keen to continue to enhance its recruiting journey. Drop-off rates were still higher than BMC aimed for, signaling an application process that could be further refined. Niche roles demanded hard-to-find skills, and recruiters faced the daunting task of sifting through hundreds of resumes daily in search of the most qualified talent.
The organization recognized AI as a way to boost agility and productivity, and as a result, they now streamline processes, pinpoint top talent with greater precision and give recruiters the insights to focus on the best candidates from the start.
Improving Candidate Experience with AI
BMC had designed its application process with data integrity in mind, but requiring candidates to provide extensive information upfront contributed to high drop-off rates. Recognizing this challenge, BMC sought ways to improve the candidate experience without compromising accuracy.
Avature’s AI-powered CV parsing was key to eliminating this friction by automating data extraction and pre-filling candidate information, which led to significantly increased application completion rates.
Transforming Sourcing and Screening for Recruiters
The second major challenge BMC addressed was finding candidates with highly specific skills. BMC’s recruiters regularly search for candidates within niche fields, such as the intersection of mainframe technology with AI and machine learning, and Avature’s candidate recommendation capabilities transformed this process. Instead of manually running complex database searches, recruiters now receive AI-driven recommendations based on job titles and required skills, significantly reducing time and effort.
This is a great win. Skills matching is a great tool to ensure that candidates’ profiles are high quality because we include the relevant information to match them with jobs.”
Juan Pablo Mendoza,
Senior Recruiting Technology Analyst at BMC.
Application volume was also overwhelming recruiters, with many roles receiving over 500 applications daily. To ease their task, recruiters now use AI-powered applicant ranking, which streamlines screening by automatically sorting candidates based on how well their profiles match job requirements. This way, they can see a detailed breakdown of how job titles, skills and other parameters influenced the ranking.
Armed with this visibility, they can refine recommendations further by adding additional filters that help them narrow the search and identify the best candidates faster.
AI allows us to make faster decisions and focus on what is important for recruiters and stakeholders within the TA function.”
Juan Pablo Mendoza,
Senior Recruiting Technology Analyst at BMC.
Enhancing Content Management with Skills Matching
AI is also transforming how BMC manages job adverts, portals and communications. Traditionally, hiring managers sent job descriptions to recruiters, who manually reviewed and interpreted the required skills before creating a requisition.
Now, Avature automates this process by parsing job descriptions, extracting relevant skills and populating the designated fields. This saves time, improves accuracy and strengthens BMC’s skill-based recruiting strategy mentioned above.
The recruiter doesn’t have to copy or paste anything. They don’t have to go elsewhere to look for the job advert. They can just allow the system to populate it automatically.”
Juan Pablo Mendoza,
Senior Recruiting Technology Analyst at BMC.
Harnessing New AI Opportunities
Although BMC works with 86 percent of the Forbes Global 50, it remains relatively unknown outside industry circles. Competing for top talent in the fiercely competitive tech sector demands a powerful employer branding and content marketing strategy—one that not only resonates but also scales effectively.
To keep content compelling and current on its career portals, the organization uses two of Avature’s intuitive CMS tools, the Theme Builder and Portal Content Editor, which allow for autonomous updates in real time.
To supercharge its strategy, BMC is about to adopt Avature Copilot, an intelligent assistant powered by a network of specialized AI agents designed to streamline hiring, enhance engagement and optimize the talent journey. BMC’s initial focus will be optimizing and creating dynamic content thanks to two key capabilities:
- The Writing Agent, which automates job descriptions, emails and SMS messages, ensuring brand consistency while reducing manual effort.
- The Building Agent, which transforms portal development with AI-powered code suggestions, making it easy to add interactive elements—such as image carousels, accordions, animations and buttons—without requiring advanced technical skills.
We are creating an environment where we embrace AI changes and allow recruiters to have tools that save time so they can focus on other things that require their attention.”
Juan Pablo Mendoza,
Senior Recruiting Technology Analyst at BMC.
The Results
The adoption of AI has boosted efficiency and productivity, a big win for BMC, which attracts over 153,000 unique portal visits and processes 75,000 applications annually for its 750 hires.
AI-powered automation enables recruiters to handle high volumes without sacrificing quality, ensuring the organization can scale its hiring efforts as demand rises. Additionally, AI-driven processes empower teams with greater autonomy, allowing them to focus on strategic initiatives rather than manual tasks.
AI is a huge win because it enables our team to be autonomous. Processes that used to be very specialized and required a long time to implement or involved a specific stakeholder interaction can now be optimized. Recruiters can perform highly technical actions without needing technical skills while gaining insight into how things are built in this new era.”
Juan Pablo Mendoza,
Senior Recruiting Technology Analyst at BMC.
Using one best-in-class talent acquisition platform has also fostered a data-driven hiring approach. Stakeholders currently benefit from over 500 custom reports and 80 dashboards, gaining deep insights that drive more informed decisions. This visibility has improved efficiency and enhanced the experience for both internal teams—recruiters and hiring managers—and external candidates.
