Digital transformation shouldn't mean forcing your lab into someone else's system. Scifeon's implementation model operationalizes and protects the know-how that makes your lab distinctive — a guided, iterative process where the platform evolves together with your team. That collaborative learning reduces implementation risk and leads to faster adoption in daily lab work.
Every Scifeon implementation starts with a structured pilot. Six clear steps take your lab from understanding the work to a system running in production — guided by Scifeon consultants, built around how you actually work.
We map how your lab actually works — workflows, master data, instruments, methods, and result types — capturing your real scientific process before any configuration begins.
The analysis becomes a concrete system design: data model, forms, workflows, integrations, and the scope of the pilot — agreed with your team before we build.
Scifeon consultants configure the platform to the agreed design — building forms, workflows, automations, and instrument connections in your cloud environment.
Super users and day-to-day staff are trained on the configured system — learning it in the context of their own workflows and data, not generic demos.
Your team validates the system against real scenarios in user acceptance testing — confirming it does what your lab needs, and meets your compliance requirements, before launch.
The system moves into production. With training complete and UAT signed off, your lab works in Scifeon for real — with Scifeon support continuing well beyond launch.
A focused discovery phase gives us everything needed to configure Scifeon around your lab — no generic templates.
How work moves through your lab.
What the system must hold and connect.
Who is involved and what comes first.
Successful adoption depends on the right people on both sides. These roles carry the project from analysis to operation.
Owns the vision and goals — accountable for the outcomes the project is meant to deliver.
Champions the change inside the lab, keeps momentum, and represents day-to-day users.
Learn the system deeply during configuration and become the in-house experts who support colleagues.
Understand laboratory processes, ask the right questions, and train and guide your staff in adopting digital tools.
Digitalizing a lab is as much about people as software. Our process is grounded in proven change-management practice.
Everyone understands what the transformation is for and what success looks like.
The people who'll use the system help shape it from the start, not at the end.
A named group — sponsor, ambassador, super users — owns the rollout and keeps it moving.
Clear, consistent communication keeps the lab informed and reduces resistance to change.
Training is matched to each role, with ongoing support well beyond go-live.
We measure adoption and outcomes, then refine — the system keeps improving in operation.
SAPPA is how the model begins: a structured pilot that brings your real lab processes live in 90 days using your data, devices, and SOPs. From there, the next phase extends the system — deeper customization, business-process reengineering, and internal sharing across teams.
Start your SAPPA pilot