Data First, AI Second: How Can Small Businesses Succeed With AI?

Small and medium-sized businesses (SMBs) face a unique pressure: they must innovate with AI to keep pace with the market, but they haven’t historically had access to the same technology, investment, or expertise as their larger counterparts.

Fortunately, the journey to AI value is becoming easier for SMBs to navigate. Today, leaders are designing and deploying autonomous agents in the workforce to support functions from sales to service to marketing, without expanding their headcount.

But they didn’t get there overnight. Organisations that build a solid data foundation are more likely to see the kind of AI-driven growth that delivers a real return on investment. This means organising and unifying siloed data spread across multiple applications and stores so that AI agents can leverage it in cross-functional workflows.

Salesforce lowers the barrier to entry by offering a range of CRM Suites and Success Plans with embedded AI capabilities to support SMBs’ AI transformations, regardless of how harmonised their data is.

Let’s discuss how to lay the groundwork for AI implementation, whatever your size or position in the market – and learn about the businesses already seeing results.

Building the data foundation for AI in SMBs

AI needs high-quality, structured, and accessible data to drive outcomes. Take these steps to clean and unify your data, so you can deploy autonomous agents that will help your business scale at pace:

Audit your data silos: Map out where your customer and business data lives. If your sales team works from one tool and your service team uses another, your AI agents will struggle to build an accurate picture of the business and coordinate workflows across departments.

Establish a single source of truth: Before procuring an extensive portfolio of AI tools, invest in a unified platform for your data. Centralised data equips AI agents with the necessary intelligence to make accurate, confident decisions – at scale.

Clean up your data: Duplicated or outdated data can lead to inconsistent and inaccurate AI outputs. Purge duplicate records, fix gaps in data, and enforce real-time validation to prevent poor-quality inputs from being used.

Consider data governance: Trust is a critical element of your AI data strategy. Establish clear protocols for privacy, consent, and user permissions. By setting guardrails early, you ensure AI agents only access the information they are authorised to use.

Enrich your data: Integrate third-party insights – such as market trends or social sentiment – with internal data to equip your AI agents with further context for decision-making.

Create a feedback loop: Regularly review AI-generated content for accuracy and use the insights to refine your underlying data architecture. This helps keep AI deployments aligned with evolving business goals as you grow.

AM Planned Maintenance is using MuleSoft to unlock AI at a family-business scale

For a family-run business, reputation is everything. Since 2003, AM Planned Maintenance has built its name on personal accountability. But as the business grew to manage thousands of jobs across hundreds of sites for the UK’s largest commercial brands, the challenge shifted from doing the work to managing the data around it.

The building maintenance specialist became a Salesforce and MuleSoft customer in 2025 to tackle a challenge familiar to fast-growing SMBs: data locked in silos. Jobs came in through customer portals, then teams had to manually transfer data into internal systems, dispatch engineers, and download and reupload reports. That’s where MuleSoft and connected data came in.

With MuleSoft at the core of its integration strategy, AM Planned Maintenance has connected its customer portals, internal systems, and data stores into a single, unified ecosystem – creating the single source of truth that modern AI depends on. Purchase orders flow in, jobs are created automatically, and completed reports are pushed back out, without the admin overhead that once consumed entire teams.

The results are already tangible. Today, the organisation has clean, connected data and the ability to scale and onboard major new clients onto the same automated framework. Speed to resolution is up, and the customer experience has improved. For a family business where trust and responsiveness are everything, MuleSoft has transformed how AM Planned Maintenance delivers – and plans to keep delivering – at a national scale. 

SHB Real Estate is driving growth through a single source of truth

SHB Real Estate is a London-based commercial property management firm. Since 2015, SHB Real Estate has used Salesforce to gain a unique view of the market, provide strategic advice to clients, and power more intelligent sales conversations.

As the business expanded, the team faced the challenge of managing an ever-growing volume of prospects and property events. Critical processes, from lease summarisation to reporting, were manual and time-consuming – making it difficult to capture and act on data at scale.

To move from disconnected data to a single source of truth, SHB Real Estate upgraded its CRM to Agentforce 1 Edition. Today, the firm uses Data 360 and Sales Cloud to centralise data and automate critical sales processes, such as lead scoring.

Connected data enables employees to complete tasks more efficiently, make informed decisions using real-time insights, and provide more strategic client counsel. AI agents even automate time-consuming tasks to streamline customer sales journeys.

It’s delivered significant commercial impact for the business, including:

• 22% year-on-year business growth
• £1 million in sales attributed to automated lead management in Sales Cloud
• 800 sales calls a day supported by the Salesforce ecosystem

High-quality data levels the AI playing field

A strong AI data strategy can accelerate the journey to becoming an agentic enterprise.

Data enables you to harness AI’s capabilities, automate mundane tasks, and focus on the high-impact work that drives growth. Technology like this – once reserved for global giants – is empowering challenger brands to innovate with the same speed and precision as large enterprises.

Our network of Salesforce SMB customers proves that when you translate fragmented data into a unified, actionable asset, you can make AI a catalyst for productivity and growth.

Find out how Salesforce helps SMBs build the data layer to unlock enterprise-level productivity – without an enterprise-level budget.