This improves compliance, reduces human errors, and creates a clearer picture of the organization’s needs, and artificial intelligence (AI) plays a key role in navigating and automating HR’s natural complexities along the way. While some HR professionals are notably a bit more hesitant to take the leap on AI compared to other functions like finance or IT, the majority (54%) of AI pioneers in HR say it’s adding clear strategic value.
3. Automate Expense and Spend Management
Expense management can quickly spiral out of control in a small business—especially when submissions, approvals, and reimbursements rely on email or paper-based processes.
Automation helps streamline spend by:
- Enabling digital submissions with policy checks
- Connecting expenses to accounting platforms for real-time visibility
- Routing approvals automatically by amount or category
- Managing payroll processing to ensure timely, accurate compensation and tax compliance
- Automating invoice processing to reduce delays and avoid duplicate payments
To implement this well, define expense categories and policy thresholds before building automated workflows. Use conditional logic to escalate high-value items or out-of-policy expenses to finance. For recurring costs like subscriptions, automation can track timing and changes over time, giving finance more control with less effort.
4. Planning, Forecasting, and Budgeting
Planning shouldn’t be a one-time event or a static spreadsheet that’s outdated a week after it’s finalized. For small businesses that need to stay agile, automation turns planning into a continuous, collaborative process.
Automation adds value by:
- Consolidating real-time data from multiple departments
- Automating input collection and consolidation workflows
- Enabling dynamic what-if scenario modeling
To move forward, start by building automated templates that pull in actuals from your financial systems, headcount data from HR, or pipeline metrics from sales. With that foundation, forecasting becomes a rolling process, not a quarterly scramble. Add approval workflows to track changes, and use scenario planning to stress test assumptions before acting.
5. Skills-First Culture
Hiring for open roles is important, but building a workforce around skills creates more long-term value. For small businesses especially, knowing what people can do (and where they can grow) is essential to scaling without constant external hiring.
Forward-thinking businesses are leaning toward more skills-based approaches already: 55% of respondents in the Workday Global Skills Report said they’ve started transitioning to be skills-first, with another 23% planning to do the same in the next twelve months.
Automation makes skills-first strategies scalable by:
- Creating a live inventory of workforce capabilities
- Linking skills data to learning and development tools
- Supporting internal mobility through automated opportunity matching
To begin, connect your performance and learning data so you can track skill growth over time. Use automation to match employees to relevant learning programs or project opportunities. This enables managers to focus on capability development—not just headcount—so talent decisions are grounded in real-time insights.
6. Marketing Workflow Automation
Marketing is essential for growth, but for small teams, it’s often the first area to get stretched thin. Manual posting schedules, fragmented tools, and inconsistent campaign tracking make it hard to stay visible and competitive.
Automation features can help marketing scale by:
- Scheduling and managing social media posts across channels
- Automating lead capture, routing, and follow-up through integrated forms and customer relationship management (CRM) workflows
- Setting up nurture campaigns with personalized email sequences triggered by user behavior
- Tracking performance metrics automatically to inform spend and content decisions
For small businesses, this type of automation saves time and keeps outreach consistent. But just as important, it gives marketing and sales better visibility into what’s working—so efforts can be optimized, not just executed.
The key is to start with your most repeatable workflows, like recurring social media content or newsletter emails, and build from there. Over time, these small automations can lead to better engagement, stronger pipeline, and more predictable growth.
7. Compliance and Audit Readiness
Keeping up with compliance requirements is a constant challenge for small businesses managing payroll, data privacy, tax regulations, and other sensitive processes with limited staff.
Automation supports compliance by:
- Embedding role-based approvals and version control
- Flagging missing or outdated information with alerts
- Maintaining audit trails for all critical workflows
- Delivering analytics that combine operational, financial, and workforce metrics in one view
To build trust in your compliance processes, automate documentation capture at the point of action, such as during expense submissions or contract approvals. Use system-generated timestamps and user tracking to create built-in audit trails. Review your workflows regularly to align with regulatory updates, especially if your workforce or customer base is growing across regions.
8. Data-Driven Decision-Making
When key business data is locked in separate systems—finance in one, HR in another, customer service tickets in a third—decision-making slows down. It’s an ongoing challenge for businesses of all sizes; 60% of IT leaders reported to Workday that data siloes still act as a barrier at their organizations.
Automation executed via a centralized enterprise management platform can help resolve the issue of siloes by:
- Integrating systems to create a single source of data truth
- Continuously needing real-time data into accessible dashboards and reports
- Standardizing KPIs across departments for consistent insight
A practical starting point is to identify high-impact reports—like cash flow, headcount, or sales pipeline—and map where their source data lives. Connecting these systems with automation ensures the data feeding those reports is timely, accurate, and consistent.
As more systems are integrated, analytics improve, reporting becomes less reactive, and leaders gain the visibility they need to make decisions with greater speed and confidence.