The banking operating system provider’s Delivery Factory lets a bank’s delivery team work with AI agents “from the first agreed requirement to working code,” Backbase said in a news release provided to PYMNTS Tuesday (Oct. 27).
According to the release, teams using Delivery Factory over the last 12 months delivered twice as fast as traditional teams and 30% quicker than teams using generic AI coding assistants.
“A generic coding assistant starts from the code in front of it,” Backbase added. “Delivery Factory starts from what the bank has agreed. Scoping documents, architecture specifications and meeting notes are combined with Backbase’s own product knowledge into one shared project context, and every person and every agent on the team works from it, through design, planning, implementation and review.”
The same implementations saw 80% less effort on requirements and specifications, a 40% reduction in coding and review effort, and a 60% uptick in test and automation coverage, according to the release.
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Delivery Factory gives each role on a banking team an agent to work with, including business analysts, solution architects and mobile and web teams.
“Delivering banking software takes a whole team. Business analysts, solution architects, delivery leads and engineers need to stay aligned as a customer requirement becomes a working experience,” said Greg Fahy, chief technology officer for digital banking at Backbase.
“Delivery Factory gives them and their AI agents a shared foundation: what the bank has agreed on, how its project is designed and how Backbase works. That helps teams spend less time reconstructing context and more time delivering the changes their customers need.”
Banks keep their core systems because replacing them is costly and disruptive. Keeping them carries its own price. Employees work across fragmented applications, repeat manual steps and rely on expensive integrations.
PYMNTS wrote last week about some of the challenges banks face in adopting new technology such as AI agents.
Research by PYMNTS Intelligence shows that 52% of financial institutions point to legacy technology as an obstacle to real-time payments modernization, and 53% cite manual-intensive internal processes.
Many banks and credit unions continue to rely on legacy core systems that are up to 40 years old, according to Federal Reserve Bank of Kansas City researchers, who say full conversions can take several years and cost millions.
That report pointed to some examples of companies merging legacy banking cores with agentic AI, such as Kastle. CEO Rishi Choudhary told PYMNTS CEO Karen Webster earlier this month that the company’s agents begin by performing narrow, repetitive tasks for banks, gaining broader as performance warrants.
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