Artificial intelligence is prompting agencies to reconsider their approaches to technology, raising new questions about whether to purchase off-the-shelf solutions or develop proprietary tools in-house.
Shifting Priorities in Technology Decisions
Traditionally, agencies have weighed the advantages and disadvantages of buying versus building technology based on factors such as cost, speed, and customization. However, the emergence of AI is changing these considerations, as agencies evaluate how best to integrate AI capabilities into their operations.
AI’s Influence on the Buy vs. Build Debate
Many agencies are now assessing whether to invest in existing AI-powered platforms or to develop their own AI solutions tailored to their specific needs. According to industry experts, the decision often depends on the agency’s size, resources, and strategic objectives.
“AI is accelerating the pace at which agencies must make technology decisions,” said one executive. “The potential for automation and efficiency is significant, but so are the risks and challenges.”
Considerations for Agencies
Agencies choosing to purchase AI solutions can benefit from faster implementation and access to established technologies. However, these solutions may lack the customization required for unique workflows. On the other hand, building proprietary AI tools allows for greater control and differentiation, but typically demands more time, investment, and technical expertise.
“There’s no one-size-fits-all answer,” another industry leader noted. “Each agency must evaluate its own capabilities and long-term goals.”
Looking Ahead
As AI continues to evolve, agencies are expected to revisit their technology strategies regularly. The balance between buying and building will likely shift as new AI developments emerge and as agencies adapt to changing client needs.
