The Briefing
At Dreamforce 2026, Salesforce will anchor the entire platform story on one idea: trusted data is the prerequisite for every agent. Data 360, the evolution of Data Cloud, is how Salesforce delivers real-time, unified, governed context to every agent across every cloud. The message is unambiguous: you do not have an AI strategy without a data strategy.
Most organizations discover this the hard way. 80% of AI project failures trace back to data quality or readiness issues. Customer records are fragmented across CRM, ERP, service, and marketing platforms. Identity resolution has never been fully resolved. Data pipelines run overnight, not in real time. Compliance obligations have not been mapped to what agents can and cannot access. Agents trained on bad data do not produce bad outputs occasionally—they produce bad outputs systematically.
The organizations that move fastest on Agentforce will not be the ones who buy the technology first. They will be the ones who build the data foundation underneath it.
In This Article
Trusted Data Comes First
Salesforce's Agentforce story is increasingly built around the idea that agents need trusted, real-time, governed context to act effectively. Data 360 provides the foundation for unified context across Salesforce clouds and enterprise systems.
For many organizations, the challenge is not simply having enough data. It is having data that is connected, current, accurate, governed, and usable by agents. Customer records may be fragmented across CRM, ERP, service, and marketing platforms. Identity may be unresolved. Critical pipelines may still depend on overnight batches. Access and compliance rules may not yet be mapped to agent behavior.
The result is systemic risk: when the underlying data is inconsistent or incomplete, agent performance will be inconsistent and incomplete as well.
How OSI Digital Can Help
OSI Digital's data readiness practice is built around a simple question: “Before we talk about what your agents will do, where does your data live, and do you trust it?”
That question connects to every dimension of Agentforce readiness: Customer 360 alignment, master data management, Data 360 implementation, Informatica data quality, ERP and legacy system integration, and the governance frameworks that determine what agents can access and act on.
OSI Digital has delivered enterprise data foundations across financial services, healthcare, manufacturing, and retail, consolidating millions of records, resolving identity, automating pipelines, and producing the single version of truth that modern AI systems require. Your agents cannot outperform the data, systems, and business rules beneath them. OSI makes sure those foundations are ready before deployment begins.
The Key Outcomes of a Data-Ready Foundation
Customer, operational, and transactional data consolidated from Salesforce, ERP, service, commerce, and marketing into a single governed source of truth.
Fragmented customer and account records aligned, deduplicated, and normalized—so every agent works from a consistent, trusted profile.
Automated API and file-based pipelines replacing manual exports—agents receive current context, not yesterday's batch.
Automated validation, quality scoring, and compliance controls embedded into the data layer before a single agent is trained.
A scalable, extensible data foundation built for Agentforce today and for whatever comes next—owned by your organization, not rented from a vendor.
The Numbers Behind AI Data Readiness
These numbers point to a straightforward conclusion: data readiness is not a downstream technical task. It is a prerequisite for realizing the value of an agentic strategy.
Build the Foundation Before the Agent
The organizations that move fastest on Agentforce will not necessarily be the ones that deploy the technology first. They will be the ones that establish the trusted data foundation that allows agents to operate with reliable context, clear permissions, and governed access.
That means resolving identity, improving data quality, connecting fragmented systems, operationalizing real-time pipelines, and defining the governance model before agent deployment begins.
“Your agents cannot outperform the data, systems, and business rules beneath them. We make sure those foundations are ready before deployment begins.”
— OSI Digital, Data Practice Leader