Traceable sources
Follow citations to their passages. Distinguish regulations, guidance, internal procedures, and enforcement precedent.
CONTROLLED AI / A WORKFLOW YOU CAN EXAMINE
Controlled AI means concrete checks around inputs, proposals, decisions, and records. It supports your team’s judgment throughout the work.
Explore in a tailored demo · See the sources, review steps, and records
CONTROLLED AI / MADE CONCRETE
Control lives in the workflow: what the AI draws on, what your SMEs review, and what the record retains.
Follow citations to their passages. Distinguish regulations, guidance, internal procedures, and enforcement precedent.
Accept, edit, or decline AI proposals. TMS routes deliverables through review and approval; RegLens supports review under your own procedures.
Follow revisions and review decisions. Use authorship reports to distinguish AI and human contributions, alongside the history of how the work developed.
Draft of §4.2 written from ACME-QM-001 and 21 CFR 211.192, with both cited.
The author completes the site's approver role and rewords one step.
The reviewer accepts a suggested change. Its original wording is kept.
The authorship report marks each section human, AI, or AI-edited, and lists who decided each AI edit and when.
CONSISTENCY / WITHOUT AUTOMATIC APPROVAL
A defined standard gives an AI-assisted deliverable a structure and a basis. Review gives it an accountable decision. History gives your team a way to examine how it developed.
Agree on references, workflow scope, document structure, and the version your team will use.
Check source accuracy and applicability. Complete site facts. Accept, revise, or decline proposals.
Follow revisions, authorship, and the decisions retained by the workflow. Verify export and retention needs during evaluation.
FROM A CONVERSATION TO A REVIEWED DELIVERABLE
Use these criteria when evaluating any AI tool for regulated work. In a Qualisera demo, follow the sources, decisions, and records through the task.
| Your workflow needs | What to explore in Qualisera |
|---|---|
| A clear basis for each answer | Named regulatory sources and your SOPs, with citations that open supporting passages. |
| Documents governed by your standards | Selected governing documents and versioned agents, with a defined document structure. |
| Review decisions you can follow | Accept, edit, or decline proposals; inspect revisions, authorship, and retained decisions. |
| Validation approval and execution evidence | TMS requirements, test protocols, review, approvals, authenticated electronic signatures, and results. |
| A model arrangement that fits your organization | Anthropic or OpenAI for drafting/review; your own agreement, such as Azure OpenAI, configured per engagement. |
Features in a general-purpose AI product depend on its configuration. This is a set of evaluation criteria, rather than a claim that every chatbot lacks these controls.
In its April 2, 2026 letter to Purolea Cosmetics Lab, FDA addressed AI-created specifications, procedures, and production records. It required review for accuracy and CGMP compliance and described broader quality-system deficiencies. This is a concrete reason to make expert review visible.
Read the FDA source (opens in a new tab) ↗EVALUATE THE FIT / ASK THE SPECIFIC QUESTIONS
The current product focus is RegLens and TMS. Explore regulatory research, document drafting and review, enforcement research, agents, and validation workflows in a tailored demo. Confirm the capabilities and setup available for your intended use during evaluation.
Yes. RegLens supports research, drafting, and review alongside the system your organization already uses for controlled documents, and approval follows your procedures. Authenticated electronic signatures are part of TMS.
Your qualified staff determine applicability, review and approve deliverables, and validate the software for its intended use. Qualisera supports those responsibilities with traceable sources, review decisions, and retained history.
Explore organization isolation, access roles, retention, hosting, and vendor qualification. Choose Anthropic or OpenAI for drafting and review; using your own model agreement, such as Azure OpenAI, is scoped per engagement. Document the configuration and evidence your organization needs.
CRDM is in development: clinical document authoring and multi-role review.
SEE IT IN YOUR WORKFLOW
Discuss review roles, source coverage, intended use, and the records your team needs to evaluate.