Written by Turiya Gray

Turiya Gray is a dynamic HR executive with 20+ years of experience building workplaces where people and performance actually thrive. Turiya is obsessed with making work better for everyone and known for her sharp insights, impactful leadership, and passion for helping organizations get people and culture right. She is also the cohost of the top-rated HR unConfidential podcast that launched in 2018. Currently, Turiya serves as Senior Partner & Fractional Chief People Officer at FXG Partners, partnering with midsize companies to deliver thoughtful, high-impact HR leadership.

Connect with Turiya on LinkedIn.

I’ve built and rebuilt HR tech infrastructure at scaling companies more than once, and there’s a very real tipping point that shows up somewhere between 100 and 300 employees. When people search for an HR tech stack for midsize companies, they’re usually in this exact stage.

Processes that were once good enough quietly morph into time thieves. Employee experience becomes more complex and less consistent. You lose visibility into people-related trends and costs. And HR teams find themselves stitching together workarounds instead of shaping the business.

If you’re evaluating your HR tech stack as your company grows or wondering when it’s time to move beyond what’s been working, read on for some practical insights from someone who’s been there. This isn’t a best tools list; it’s my reflections on how I’d build my HR tech stack if I were stepping into a 200–300-person company tomorrow, grounded in what I’ve seen work (and fail) in real life.

Why 200–300 employees changes everything

At 50–100 employees, HR can often rely on proximity and memory. You know people by name, the exceptions are manageable, and the homegrown workarounds are known and seem to “work.”

Somewhere between 200 and 300 employees, that model stops working. It’s not just more people; it’s more layers of management, a more dynamic employee population (locations, job types, tenure, etc.), and increasing demands on HR’s time and impact.

The operational symptoms, like inefficient processes, lack of clean data, and poor employee experience, show up fast. But underneath those symptoms, bigger strategic issues start to emerge:

• HR team burnout. The HR team’s workload expands with every new hire, but headcount doesn’t keep pace. What used to feel manageable starts to crowd out the work that actually moves the business forward: strategic planning, leadership development, and culture building. 
• Loss of prioritization.  Without systems to surface patterns and data to guide decisions, everything feels equally urgent. HR ends up reacting to whoever’s loudest instead of focusing on what will have the most impact.
• Credibility gap. The business starts to experience HR as process managers instead of business enablers; not because of intent, but because of capacity and tooling gaps.
• Reactive decision-making. Without clean data, people-related decisions become opinion-based instead of business-backed.

At this size, you’re small enough that inefficiency hits hard in HR bandwidth, leadership effectiveness, and the bottom line. But you’re big enough that “we’ll fix it later” is no longer a viable strategy. This is when HR tech stops being a convenience and becomes critical infrastructure.

The HR tech stack I’d build for a midsize company (200–300 employees)

At this stage, I resist the urge to jump to specific tools first. I start by thinking about the ideal outcomes.

If your company is hovering around 200 employees with a patchwork tech stack, the first move is almost always to stabilize your HRIS and payroll. If that foundation is shaky, every other system you add will require more cleanup, more manual work, and more frustration. Once that’s solid, move to hiring and onboarding, then everything else.

Here are the core layers I’d focus on:

1. A strong system of record (HRIS + payroll)

This is your foundation and it needs to be boring but reliable and scalable. Clear processes, clean data, compliance, and integrations that don’t require duct tape are critical.

I’ve used systems like Rippling, Namely, and UKG at this stage. Each had different strengths depending on the company’s complexity and growth trajectory.

What to look for:

• Reporting that doesn’t require a data analyst to build
• Flexible permissions as you add managers, admins, or employee self-service
• Integrations that actually work (and stay working)
• Data that flows to and from other systems without constant manual fixes

2. Hiring and onboarding that feel seamless

Hiring and onboarding set the tone for every employee relationship. A clunky process here creates drag for recruiters, confusion for candidates, and a rocky start for new hires.

I’ve implemented Greenhouse and SilkRoad (now Rival) for applicant tracking and onboarding based on the customization and seamless integration experience. 

What to look for:

• Automation where it matters: scheduling, posting, screening questions
• A clear stance on how AI reduces bias without introducing new risks (like fake applicants flooding your pool)
• Hiring manager access to review candidates and provide feedback without creating bottlenecks
• Seamless handoff from “offer accepted” to “first-day ready,” whether that’s in one system or two that integrate flawlessly
• Compliance tracking (I-9s, new hire paperwork, etc.) that’s simple and auditable
• Flexibility to customize onboarding based on role, location, or team

3. Performance tools that don’t turn into bureaucracy

You need easy-to-use tools that offer simple goal-setting, the ability to run performance feedback cycles that actually fit your business needs and culture, and that strengthen manager capability without turning performance into a time-intensive exercise.

I’ve worked with tools like Lattice and 15Five. The key was picking one that met our unique needs rather than forcing our culture to match the tool.

What to look for:

• Lightweight enough that managers will actually use it
• Customizable cycles (not rigid annual reviews if that’s not your style)
• Integration with your HRIS so you’re not managing two sets of employee data

4. Making total rewards actually manageable

This is the layer that breaks fastest when you scale. How you manage compensation, benefits administration, perks/stipends, and recognition quietly turns into admin chaos, compliance headaches, and employee frustration.

Before implementing Compt, my team was fielding a lot of eligibility questions about our perks program and spent hours processing stipend requests. Compt brought structure: employees got clarity on what they could use, Finance got real-time visibility into spend, and HR got meaningful time back (often 10+ hours a month).

Compt just worked, and that’s exactly what all of your HR tech stack should do.

What to look for:

• Compensation planning tools that integrate with your HRIS (so you’re not exporting spreadsheets to model raises, promotions, or equity)
• Benefits administration that reduces enrollment headaches (employee self-service, carrier integrations, and clear communication at open enrollment)
• Employee self-service for perks and stipends (so HR isn’t answering the same questions repeatedly)
• Finance-friendly reporting (clean visibility into spend and ROI)
• Flexibility to adjust as your total rewards offerings evolve

Before adding any tool, I always ask:

• What real pain does this solve for HR and the business?
• Who will use this system regularly, and do I need their input?
• Does this reduce admin or add to it?
• Will this still work at 500+ employees?

If the answers aren’t clear, I pause.

What I’d do differently if I were building this tomorrow

I’ve built versions of this HR tech stack that worked beautifully and versions that didn’t. Looking back, the difference wasn’t the tools themselves. It was how thoughtfully we selected and implemented them, how clearly we defined success, and whether we treated vendors as partners or just checked boxes. 

Here’s what I’ve learned:

Define ROI upfront, both qualitative and quantitative.
Time saved, employee usage, reduction in questions, decision speed; know what success looks like before implementation.

Sequence deliberately.
Get your foundation stable before layering on additional tools. You can’t build a performance management strategy on top of unreliable employee data.

Revisit ROI regularly.
If a system isn’t saving time, improving insight, or strengthening employee experience, ask why it’s still there.

Balance scalability with restraint.
Buy for where you’re going, but don’t overbuild for a future that’s still hypothetical.

Bring Finance and IT in earlier.
It saves money, rework, and credibility later. They’ll catch integration issues and budget realities you might miss.

Negotiate like a partner, not a buyer.
Don’t just accept the first proposal. Ask about cost flexibility, what features might be available as add-ons (now or later), and what post-implementation support actually looks like (response times, dedicated account management, training resources). The best vendor relationships are built on clarity upfront, not surprises six months in.

Let AI inform priorities, not distract you.
Ask hard questions about data protection, how information is used, and whether it actually makes life easier and reduces bias or just introduces new risks.

Don’t skip change management.
Even great tools fail if no one uses them. Implementation isn’t just turning the system on; it’s communication, training, and making sure it sticks.

The goal isn’t the biggest stack. It’s the right one.

Final thoughts

This stage of growth is demanding, and the stakes are real. But it’s also where HR has the chance to evolve from “keeping things running” to building systems that actually enable performance and long-term growth.

If you’re navigating this transition now, you’re not behind; you’re exactly where you should be. And with the right foundation, you’ll give yourself room to breathe, grow, and actually lead.