While many labs introduce software platforms and external services to address complex workflows, rising costs, and staffing constraints, these additions can create just as many problems as they solve. When implemented without a clear strategy, budgets grow rather than shrink, quality suffers, and lab managers lose visibility across data, inventory, and operations.
As labs scale and priorities shift, these gaps become more pronounced, with each new system or service increasing effort rather than efficiency. To get real value from software and services, lab managers must step back and consider what problems they’re trying to solve, how systems should connect, and where external support strengthens internal capabilities.
This eBook examines these questions by looking at lab software and services together, helping managers understand how tools, AI, and support models can work in concert to advance operational priorities.
Download our Software & Services Resource Guide to explore:
- How to select lab software and external services that support day-to-day operations and long-term goals
- Key considerations for improving visibility across inventory, instruments, scheduling, and data
- How AI can build on existing lab software to support informed decision-making
- Frameworks for deciding when to build capabilities in-house versus leveraging external services
