Major brands are rolling out first-party AI experiences across customer journeys—Dick's Sporting Goods added conversational AI to its app, Ulta Beauty launched a shopping assistant, and The Home Depot deployed voice agents for in-store support—yet consumer adoption remains uneven and trust erodes as transactions deepen. Forrester research reveals the gap: 85% of consumers find AI responses helpful, but only 71% trust them, and few transactions actually complete within AI-native experiences. This disconnect exposes a critical tension for CX leaders implementing tools like Agentforce or similar agentic platforms. The issue isn't whether AI belongs in first-party experiences—it does—but whether teams are deploying it strategically or chasing novelty. Gahun's research shows successful implementations target specific use cases with defined value rather than treating AI as a universal layer across all customer interactions. For teams already running Agentforce or considering similar investments, this means the ROI question hinges less on adoption rates and more on whether the AI solves a genuine friction point customers face in their existing workflows.
The practical constraints of AI deployment demand equal attention to strategy. Guardrails matter enormously: Taco Bell's viral 18,000-cup-of-water incident illustrates how poorly scoped AI agents become liabilities rather than assets, whilst security vulnerabilities in agentic systems can expose organisational data to malicious input. Beyond operational risk, consumer behaviour reveals a clear preference hierarchy—first-party platforms command more trust than third-party AI for transactions, yet consumers willingly use ChatGPT for discovery before converting on brand-owned channels. This suggests a hybrid model where third-party AI drives awareness and first-party systems close deals. For support teams and CX consultants, the implication is straightforward: AI should be invisible where possible, purposeful where visible, and scoped tightly to prevent both user-induced failures and security breaches. The brands winning here aren't those with the most sophisticated AI; they're those treating it as a tool to remove specific friction points rather than a platform to rebuild customer journeys.
The pros and cons of adding AI to first-party experiences Customer Experience Dive