The record set is growing up. The knowledge still lives in your people.
Moving from research into controlled operations adds procedures and reviewers faster than it adds people. Botable builds and runs the AI layer that takes that in-between work back. What the data means, and what gets approved, stay your team's calls.
Start with one gapWhat slows a maturing biotechnology company is rarely the science.
It is the work between the records: finding the answer that spans several of them, moving context through tech transfer, drawing the full reach of a change, proving that what you found is current. Today, each of those is a person.
Nobody filed the whole answer anywhere.
The useful answer can span experiment notes, approved procedures, equipment records, and prior decisions. Finding it often means knowing whom to ask. When that person is out, so is the answer.
Tech transfer moves more than the process.
What was clear inside the research team has to become usable by manufacturing, quality, and training, each reading it for a different purpose. Context is the valuable part, and context is what a handoff flattens first.
A change never stays inside one record.
A process change can reach procedures, training, materials, and supporting documentation. Someone has to bring that reach into one view before the accountable team can decide.
An answer without its source is a rumor.
A response is useful when it points back to the approved record and the current revision, so anyone can verify it in the system that owns it. The citation travels with the answer.
The AI layer prepares. Your team decides. The record stays put.
Official record
The record answers to your systems. Not to us.
Experiment records, controlled procedures, training assignments, change records: your systems hold all of them today, and all of them after the build. As those systems mature, the layer adjusts to them, never the other way around.
Work around it
The seams are the AI layer's job.
It brings back the governing passage with its revision attached, maps what a proposed change would disturb, and keeps required training in front of the people it applies to. All of it is preparation. None of it is record.
Human decision
The decision is the one thing we never build.
How a result is read, whether an impact holds, who gets an exception, what gets approved: each call keeps a named owner on your team. The layer carries the work up to that call, and never across it.
Start with your biggest gap.
Each takes one piece of the connective work and builds on the systems your team already trusts.
When finding the current procedure means finding the right person
eQMS Search & Retrieval
Ask in ordinary words, and the approved wording comes back naming its document, its section, and its revision. Verifying takes a glance, not a search. Finding the answer no longer depends on who is in the building.
When no single record shows what a change will touch
Change Order Management
It runs a proposed change out to every record it can affect and returns the findings in one place, ahead of review. Your team spends its time on the decision, not the hunt.
When the training list grows every time the operation does
Training Notification Orchestration
It hands each person their requirement in the messaging app, reminds them until it is done, and brings the manager in before the deadline, not after it. No new tool to check, and completion stays in sight from the first notice to the last name.
Bring us the work that lives in one person's head.
We map the work, build the AI layer around the systems you have now, and stay to run it as the science moves, the controls multiply, and the operation takes shape.
Start with one gap