The news: A year after enterprise software firms began rolling out AI agents, most tools now look and act alike—creating confusion for companies trying to choose the right solution.

From Accenture, Amazon, and Adobe to Salesforce and Slack, numerous providers sell AI that automates routine work like data queries, customer service, and forecasting.

And because many rely on the same OpenAI or Anthropic models, their offerings are almost indistinguishable, per The Information.

AI agents are flooding the market:  With nearly identical tools promising automation and insight, there are downsides to having too many choices:

• Overlapping features: Agents from Salesforce, Adobe, and Amazon often automate the same CRM and analytics tasks, making ROI hard to quantify.
• Integration fatigue: Juggling multiple AI agents can fragment data pipelines, lead to user fatigue, and complicate attribution and customer personalization.
• Data governance risks: Each agent accesses sensitive data sets, raising compliance and privacy questions for global brands.

The challenge: One easy solution is to adopt AI agents from existing service providers. Adding agentic solutions to Salesforce, Microsoft, and Adobe subscriptions seems straightforward, especially since companies are locked in on these ecosystems.

However, relying solely on one provider’s AI agents because an organization already uses its CRM can create a false sense of simplicity because of ease of access, even if tools don’t address business needs. It can also lock companies into proprietary workflows, limiting flexibility and innovation and introducing new problems, such as:

• Data silos: Agents perform best when trained on varied data sources, but sticking to one vendor limits cross-platform insight.
• Vendor lock-in: Relying exclusively on a single AI agent could make it costly to pivot if better tools emerge elsewhere.
• Missed innovation: Emerging open-agent ecosystems from OpenAI and Anthropic evolve faster, with more customization and interoperability, per The Information.

What brands can do next: Prioritize AI agents that connect across ecosystems, protect data, and scale smarter instead of locking into one vendor’s walled garden. Doing so builds resilience, flexibility, and trust in an increasingly crowded AI market.

Further reading: Check out our in-depth Marketer’s Guide to AI Agents for insights on selecting AI agents.