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Most service agents today are still working with a partial view of the customer. The signals that matter most — usage patterns, risk indicators, product behavior, operational exceptions — live in the lakehouse. The banks that are pulling ahead are the ones connecting that data through Data 360 Zero-Copy and making it available to Agentforce via the Data 360 MCP Server. The result is multi-agent systems that can anticipate needs, resolve issues faster, and protect the relationship advantage that regional and midmarket institutions sell.

• From partial context to full picture: what changes when service agents can see lakehouse signals in real time

• Zero-Copy + MCP as the practical bridge between data platforms and Agentforce

• Balancing autonomy and human judgment so AI reduces OpEx without eroding trust

• What “good” looks like in the first 90 days vs. 12 months

Most service organizations are still stuck in a reactive model: the customer contacts us, we dig for context, and we try to resolve the issue. The enterprises pulling ahead are flipping that sequence. They’re using a real-time 360 view connected to Agentforce so that both AI agents and human teams can see the signals early like a change in behavior, an upcoming event, a friction pattern, and act before the customer has to raise their hand. The result is lower cost-to-serve, higher first-contact resolution, and service moments that actually strengthen the relationship instead of just closing a ticket.

• From reactive to anticipatory: what changes when service teams can see the full customer picture in real time

• Where digital labor (Agentforce) should act autonomously vs. where human judgment must stay in the loop

• Turning service interactions into retention and growth signals at enterprise scale

• The data and architecture foundations required to make anticipation reliable across channels and volumes