SOFIAH NICHOLE SALIVIO
Information Editor
Jitterbit has revealed analysis displaying a divide between UK and US know-how leaders over whether or not to purchase or construct AI brokers, highlighting a break up in enterprise preferences for agentic automation.
Its information reveals that 51% of UK organisations desire pre-built brokers for constructing and deploying AI agent automations, whereas 48% depend on custom-made methods. Within the US, the sample is reversed: 55% of respondents favour custom-built code developed completely in-house, whereas 45% lean towards pre-built brokers.
The figures come from Jitterbit’s 2026 AI Automation Benchmark Report, which examines how IT decision-makers are approaching AI and automation. It suggests UK corporations place better worth on velocity and effectivity than on bespoke growth as they develop their use of AI brokers.
Amongst UK respondents, 43% most popular brokers embedded in pre-built software-as-a-service functions. In contrast, 28% most popular constructing their very own low-code or no-code integration platforms, whereas 20% favoured in-house custom-coded brokers constructed by instruments comparable to Lovable or related providers. Solely 8% selected off-the-shelf brokers as their major supply.
Price strain
Jitterbit linked the strategic divide to the altering economics of AI deployment, arguing that rising token prices and heavier use of enormous language fashions are making bespoke growth much less engaging, notably for corporations weighing the continuing price of sustaining inner methods.
This displays a wider market concern over the entire price of AI tasks. Many corporations have invested closely in inner engineering groups and AI experimentation, however spending on inference, integration and mannequin utilization has develop into a extra seen price range difficulty as tasks transfer into broader enterprise use.
The report additionally discovered that 81% of organisations plan to extend funding for AI and automation over the following 12 months, suggesting demand stays robust at the same time as companies develop into extra selective about deployment and anticipated returns.
Construct or purchase
The distinction between the UK and the US additionally factors to completely different company cultures round software program growth. US engineering groups seem extra prepared to maintain AI agent growth in-house, whereas British organisations present better readiness to undertake pre-built choices from software program distributors.
The excellence issues as a result of AI brokers are transferring from pilot tasks into mainstream operational instruments. Firms are utilizing them for course of automation, software integration and job orchestration, so choices on whether or not to construct internally or purchase ready-made methods can have an effect on budgets, deployment instances and the extent of technical oversight required.
Pre-built methods can supply quicker implementation and extra predictable provider assist, whereas {custom} builds can present better management over workflows and inner information dealing with. The findings counsel this trade-off is changing into sharper as AI consumption prices rise and boards demand clearer proof of worth.
For UK companies, the analysis signifies that warning over {custom} growth will not be merely technical conservatism. It additionally displays a practical response to the strain of deploying AI instruments at scale with out taking over open-ended prices tied to inner growth and token use.
Invoice Conner, president and chief government officer of Jitterbit, stated the market is transferring into a brand new part as AI tasks develop into extra built-in into core operations.
“We’re transferring previous the period of siloed AI experimentation and getting into the period of pure orchestration,” Conner stated.
He stated financial strain is reshaping how corporations assess {custom} methods in opposition to pre-built alternate options.
“The market is waking as much as the true whole price of possession of {custom} AI. Between developer bottlenecks and hovering token prices, constructing all the pieces from scratch is a luxurious few can maintain. The UK’s slight desire for pre-built functions could have beforehand been thought of cautious, but it surely’s proving to be extremely strategic as financial pressures drive a shift from growth to clever integration,” Conner stated.