Data: The Key to a Successful AI Implementation

Craig Coates – Senior Salesforce Consultant and data expert – at Bluewave, shares his knowledge about what organisations need to consider when trying to get the most out of an AI implementation. Check out his thoughts below. 

 

In today’s rapidly evolving digital landscape, AI is no longer a futuristic concept – it’s already embedded into the tools and platforms we use every day. From ChatGPT and Gemini to Copilot and beyond, there’s no shortage of AI-powered applications promising increased productivity and insight. But as businesses scramble to adopt these technologies, it’s easy to get overwhelmed by the sheer volume of options, and to focus on the “AI” part without properly considering what fuels it: data.

Thankfully, Salesforce customers have a clear entry point into this space with Agentforce – an AI-powered solution that integrates seamlessly with the Salesforce ecosystem. But as with any AI implementation, success hinges on having a solid data foundation.

 

What is Agentforce?

Agentforce is Salesforce’s cutting-edge answer to the growing demand for tailored, intelligent support within customer and business operations. Built on the Salesforce Einstein 1 Platform, Agentforce acts as a bridge between large language models (LLMs) and your business’s unique data and logic—unlocking a new generation of AI assistants that are deeply connected to your organisation’s context.

What makes Agentforce so powerful is its flexibility. Whether it’s a Service Agent engaging customers via an Experience Cloud site, or a Sales Coach helping reps qualify leads and close deals more effectively, Agentforce allows you to deploy intelligent agents in the areas that matter most. It’s also not limited to one use case or industry; we’ve seen success in healthcare, education, financial services, and the public sector—each deployment tailored to the organisation’s data environment and strategic priorities.

And while the technology is impressive, the real magic lies in what you feed into it.

 

Don’t Forget About Data

As exciting as AI can be, it’s important not to get swept up in the hype and overlook the foundation it’s built on: data.

All AI models are trained and operate based on data inputs. In the case of Agentforce, this means your business data – everything from Salesforce records and case histories to internal documentation, process rules, and customer interactions. Agentforce draws on data made available through Salesforce Data Cloud, Salesforce’s real-time data platform that connects and harmonises your information from across the business.

If the data is incomplete, outdated, duplicated, or poorly structured, the results you get from AI won’t just be ineffective—they could be misleading. That’s why every successful AI implementation must begin with a clear, comprehensive data strategy. It’s easy to imagine AI as a magic wand, but in reality, it’s more like a mirror: it reflects the quality of the information you provide. Want accurate case summaries, insightful sales coaching, or automated customer responses? You need clean, well-related, and accessible data.

 

How it Works

One of the strengths of Agentforce is its ability to work with both structured and unstructured data. Structured data includes items like Salesforce records – Cases, Opportunities, Leads, and custom objects. Unstructured data refers to content like PDF documents, policy manuals, onboarding guides, or knowledge base articles. Through configuration and prompt engineering, Agentforce can access and understand both types of content to power intelligent responses and automations.

But here’s the key: to make this work, your implementation team needs to deeply understand how your data is created, how different data points relate to each other, and what the data quality looks like. For example:

The design and configuration of your AI agents must be tightly linked to your understanding of your organisation’s data ecosystem. That’s why involving data experts and Salesforce consultants early on – before you build the AI logic – is so important.

 

Build Your AI Strategy on Data First

AI is undoubtedly the future, but it’s not plug-and-play. For organisations looking to harness the full power of Agentforce and Salesforce’s AI offerings, starting with data is non-negotiable.

At Bluewave, we’ve helped public and private sector organisations build data strategies that power real results—from automating customer interactions to delivering personalised insights for staff. We understand that implementing AI isn’t just about rolling out new tools – it’s about creating a connected data foundation that enables those tools to work intelligently, reliably, and securely.

As you explore what AI can unlock for your organisation, remember: AI success starts with data success. Invest time in cleaning, structuring, and connecting your data before expecting magic from your models.

 

If you’d like to hear more about our Salesforce-powered AI and data insights, please contact a member of our dedicated team today. You can also register your interest in one of our AI or Agentforce Accelerator sessions here.