Sparq launches The Shop to test AI in live systems

Sparq has launched The Shop, a new engineering practice focused on testing artificial intelligence in production-like environments. It is intended to help companies assess AI projects before committing spending.

The Atlanta-based company said the practice will sit within its broader engineering operation, where teams will build, break and stress-test AI systems in conditions that resemble live business environments. The goal is to identify where tools work, where they fail and what trade-offs buyers should understand before moving ahead with a project.

The move reflects a broader issue facing corporate AI programmes. Many companies have experimented with pilots and proofs of concept, but those efforts often run into problems when they meet outdated documentation, legacy software estates and day-to-day operating demands.

The Shop will take tools and approaches that appear repeatedly in client work and test them inside real systems. Work that survives that process may then shape delivery methods, reusable products or early demonstrations for prospective buyers.

Jackson Stakeman will lead the new unit as General Manager. He is an engineering leader at Sparq and has written publicly about AI adoption and risk in large organisations.

Chief Executive Officer Ingrid Curtis said many businesses are not short of AI ideas, but struggle to embed them in the systems that actually run the business.

"Most enterprises don't struggle with ideas about AI. They struggle with making AI work effectively inside the systems that run their business," said Ingrid Curtis, Chief Executive Officer, Sparq. "The Shop is where we do the hard learning first, so clients don't have to. It's how we move from theory to tested, operational results."

Testing ground

Sparq describes the practice as a working floor for engineers rather than a strategy unit. The focus is on practical experimentation, including how models, workflows and tools behave under the constraints of live operations.

The unit will cover three main areas: creating AI-related accelerators based on repeated field experience, giving prospective customers working demonstrations in production-like conditions, and developing engineers' judgement through direct work with AI tools, including knowing when not to use them.

That emphasis reflects a wider shift in the market. As enthusiasm for generative AI has moved from boardroom discussion to implementation, buyers have grown more cautious about projects that promise broad transformation without clear evidence of how systems will perform in practice.

Vendors and service providers have increasingly had to address concerns over so-called shelfware, where software or pilot work is bought but never used at scale. For companies with complex operational systems, the challenge is often less about selecting a model and more about integrating it into business processes, data flows and controls already in place.

Operational focus

Sparq said The Shop is built around the view that AI should be embedded in operating systems rather than added after the fact. In practice, that means testing AI in the context of existing workflows, decision logic, tooling and product behaviour.

The company did not disclose financial details for the launch, but said the unit is already operating with dedicated staff and bench engineers. Work from The Shop will also feed into customer engagements, giving buyers more direct evidence of what a proposed system can and cannot do.

That may appeal to companies trying to reduce uncertainty before spending on AI programmes. In many organisations, technology leaders are under pressure to show measurable returns while also managing risks tied to reliability, governance and operational disruption.

Stakeman said the value of AI work comes from practical use rather than reacting to every new model release.

"We don't reap the benefits of AI by pumping our fists in the air every time they release a new model," said Jackson Stakeman, General Manager, Sparq. "We do it by getting our hands dirty by using these tools to solve real problems. We get better at working by working, and The Shop is our community of builders who are doing just that."