QCI opens platform backlog to customer co-development input
Quick Custom Intelligence (QCI) has launched an initiative called Build Our Backlog, inviting its casino resort customers and industry partners to propose new features, workflows, and operational capabilities for its unified resort management platform. The Casino @ Dania Beach is among the first customers to publicly endorse the scheme.
The announcement follows QCI's completion of every feature in its formally tracked development backlog, a milestone the company attributes to increased throughput from what it describes as an agentic engineering environment: a combination of AI-driven automation, orchestration tooling, and human oversight that it says compresses the time between feature request and deployment. Participation in the initiative is included within existing customer contracts at no additional cost.
The initiative
Andrew Cardno, co-founder and CTO of QCI, said the clearance of the existing backlog created the headroom for a more open approach to roadmap prioritisation. "Build Our Backlog gives our customers and partners a direct role in determining what comes next and ensures our development remains focused on the operational needs of casino resorts," he said.
Josh Crowder, Marketing Director at The Casino @ Dania Beach, welcomed the scheme's commercial structure. "The opportunity to bring forward operational needs and work with QCI to turn them into new capabilities, at no additional cost, is exciting because it keeps development focused on the work our teams do every day," he said.
QCI says its platform is deployed across more than 325 casino resorts in North America, Australia, New Zealand, Latin America, and Europe, collectively supporting more than $42 billion in annual gross gaming revenue. That scale gives the Build Our Backlog initiative a potentially broad pool of feature proposals, though QCI has not disclosed how submissions will be evaluated, prioritised, or communicated back to customers.
Market context
The gaming technology sector has seen sustained consolidation over the past several years as operators seek to retire fragmented property management systems and loyalty stacks in favour of integrated platforms. QCI competes in this space against legacy suppliers as well as a growing cohort of cloud-native hospitality and gaming software providers.
The use of agentic AI to accelerate internal software development is an emerging practice across enterprise software vendors more broadly. By deploying AI agents to handle repetitive engineering tasks, vendors can in principle reduce time-to-deployment and reallocate engineer capacity toward higher-complexity work. QCI's claim that this approach enabled it to clear a formally tracked backlog is notable, but the company has not published benchmark data on development velocity, defect rates, or deployment frequency to support the assertion independently.
Customer-led roadmap programmes are not new in enterprise software, having been a feature of user-group models at vendors from SAP to Salesforce for decades. What distinguishes QCI's framing is the explicit link between AI-accelerated development capacity and the ability to absorb new customer requests without incremental licensing charges. Whether that model holds as the volume of inbound proposals grows will be a key test of the initiative's durability. Operators evaluating the platform will likely want clarity on governance: how competing feature requests from different properties are adjudicated, and on what timeline accepted proposals reach general availability.