93% of Software Executives Plan to Introduce Custom AI Agents
New research from OutSystems reveals a strong shift among software executives toward adopting custom AI agents. An overwhelming 93% of organizations are either developing or planning to develop their own AI agents. This trend is driven by the need to deliver clear business value, manage limited resources, and align technology with long-term strategic goals.
Agentic AI addresses common challenges such as fragmented tools and data silos, enabling organizations to better leverage their data assets across departments. This approach helps IT leaders streamline operations and improve outcomes.
AI’s Impact on Software Development
The study, based on responses from 550 global software executives, highlights how AI is transforming software development. More than two-thirds of respondents reported higher developer productivity and better software quality, with fewer bugs.
- 62% noted improved scalability in development efforts
- 60% experienced gains in testing and quality assurance efficiency
Woodson Martin, CEO of OutSystems, points out that AI investments are reshaping the software development lifecycle. AI agents are expected to act like specialized teams, continuously monitoring business needs and refining software solutions. This shift allows developers and business leaders to focus more on creativity and strategic priorities.
Current Adoption and Use Cases
Nearly half (46%) of software executives say their organizations have already integrated agentic AI into applications and workflows, with another 28% piloting such solutions. Customer support is a leading area for AI agent use, with 49% planning to adopt AI for autonomously handling inquiries and support tasks—aiming to improve customer experience and scale support efficiently.
Other areas where AI agents are being considered include:
- Product development (38%)
- Sales and marketing (32%)
- Supply chain management (28%)
- Human resources (24%)
- Finance and accounting (23%)
Key Drivers and Risks of AI Adoption
Executives identify several primary reasons for AI adoption:
- Improving customer experience (56%)
- Automating routine development tasks (55%)
- Speeding up software development timelines (54%)
- Accelerating digital transformation (53%)
However, wider AI adoption introduces challenges including governance, security, and compliance risks. More than 60% of respondents flagged concerns about transparency and reliability of AI-generated decisions. Fragmentation and technical debt due to rapid AI tool proliferation are also critical risks for 44% of executives.
For executives seeking to deepen their understanding and practical skills in AI implementation, exploring targeted courses can be valuable. Resources like Complete AI Training offer a range of courses that cover AI applications in software development and business strategy.
The full report is available on the OutSystems website.
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