Confience

70% faster release, same team.

Ecolyzer's story is a good reminder: TAT lives in the workflow around the bench, not only on it.

🔗 Link in this post.

The final number is only part of the story.

A defensible result also depends on the path behind it: collection, chain of custody, methods, data, review, and approval.

myLIMS helps connect those steps so your team can access the history behind a result without reconstructing it manually.

See how myLIMS supports traceability across the lab workflow:
https://hubs.ly/Q04yz-Xf0

Audit readiness is a daily operating state.

Swipe through what that looks like before an auditor ever asks for evidence.

Your lab may not be slow. The delays may be happening between steps.

Disconnected systems, manual approvals, spreadsheets, and repeated data entry can create waiting time throughout the sample lifecycle.

With myLIMS, labs can connect workflows and centralize information to reduce unnecessary manual handoffs.

See how myLIMS helps keep lab workflows moving:
https://hubs.ly/Q04ygS020

If your instruments don’t connect directly with your lab systems, the impact goes beyond lost time.

Manual notes, spreadsheets, and repeated data entry can lead to transcription errors, delayed results, and traceability gaps. With DAQ and integrated workflows, instrument data can move directly into the system with less manual intervention.

Discover how myLIMS helps connect your instruments, data, and workflows: https://tinyurl.com/3v3f3eke

More business should create more output, not a matching increase in administrative work.

If every new batch of samples adds more manual intake, assignments, calculations, report formatting, and status follow-up, the lab eventually hits a capacity ceiling.

The answer is not to make the team work faster. It is to remove the steps that do not need to be manual.

See how myLIMS helps labs automate workflows and scale operations: https://tinyurl.com/26btrs88

Growth rarely breaks a lab in one dramatic moment. It exposes the manual steps that were manageable at lower volume.

More samples mean more intake, assignments, data entry, review and reporting. If each step scales one-for-one with volume, growth becomes an administrative problem.

A useful test: if sample volume increased 30% next month, what would break first?

Map that point before you add headcount.

See how myLIMS helps labs scale sample volume without scaling administrative work: https://tinyurl.com/43b54wfr

Can your AI answer show its source?

Fluence AI can. Ask a product question inside myLIMS, review the source article, then decide.

Sourced by default. Human accountable.

See what Fluence can do for your team: https://tinyurl.com/42336nzz

our lab doesn’t need another list of AI predictions. It needs a better way to evaluate them.

That’s what we’ll focus on this Thursday during AI in the Lab.

Joseph Reynoso and Rossy Hernandez will spend 35 minutes unpacking the AI conversation from a laboratory perspective and helping teams distinguish between what deserves attention now, what needs more context, and what may still be ahead of its time.

📅 Thursday, August 27
🕚 11:00 AM ET | 10:00 AM CT | 8:00 AM PT

Reserve your spot for this Thursday: https://tinyurl.com/ke7txkbn

AI is everywhere. But what does it actually mean for your lab?

There’s no shortage of AI promises. The challenge is separating what can actually matter for laboratory operations from what simply sounds impressive.

That’s exactly what we’re tackling on August 27.

In 35 focused minutes, Joseph Reynoso and Rossy Hernandez will sort through the AI conversation and give you a more practical way to think about what’s useful, what needs context, and what’s still hype.

📅 Thursday, August 27
🕚 11:00 AM ET | 10:00 AM CT | 8:00 AM PT

Join the conversation. Register today: https://tinyurl.com/6amdkerc