A coordinator in another time zone calls after your office closes. The AI answers, resolves the scheduling question from the study calendar, and files the transcript — no voicemail, no lost day.

Medical-information requests are captured verbatim, acknowledged instantly, and routed to your MI staff by your rules — the AI never improvises a medical answer.

Shipping schedules, document status, meeting logistics, portal access: answered identically every time from YOUR approved sources — claim guard on, no source means no claim.

A deviation is logged; the AI pulls the batch record, the SOP and the equipment history, drafts the narrative and a proposed CAPA — QA edits and approves, in a fraction of the usual cycle.

Monthly stability summaries and quarterly trend reports assembled from the data your team designates, figures cited to source records, filed for review before the meeting.

Module drafts, responses to information requests and briefing-book sections assembled from your registration archive — in your templates, with the source excerpts attached.

PDFs, Word, spreadsheets, scanned batch records, instrument printouts, images and media — the ingestion pipeline turns what your archive holds into queryable knowledge.

The claim guard is absolute: the AI cites the protocol, the method or the record — or states it cannot answer. In regulated work, a confident guess is worse than silence.

The CRA asks about visit windows; the QA lead asks about the deviation history; the BD associate asks about published data. Each gets answers scoped server-side to their role.

Literature review, deviation trend report, stability summary, competitor filing watch: work types molded to your programs, each with default sources and examples.

The AI’s workload is managed like the team’s: one-click views show what is urgent, late and due — the submission-support draft does not slip silently while everyone watches the trial.

Reasoning streamed live, sources cited, milestones tracked — supervisable mid-work, auditable after. A diligent junior scientist whose notebook is always complete.

Cleaning validation, sample handling, change control, data-integrity procedures: one library, effective versions on top, superseded revisions outranked automatically.

“What is the requalification interval for this instrument?” — answered in seconds with the SOP attached, to any authorized analyst, at 2 PM or 2 AM.

The AI drafting a deviation narrative reads from the deviation SOP; the stability summary work reads from the stability protocol — by construction, not by memory.

New analysts and coordinators learn your sample-handling rules, documentation practices and systems through guided training — productive in days, with progress visible to managers.

“How do I document an out-of-specification result?” — asked to the assistant, answered from the effective SOP with the document attached, without pulling the QA manager off an audit.

Private chats work on any device with a login — the second-shift analyst gets the same sourced answer as the day shift, in their own language.

A deviation is logged; the flow pulls the batch record and SOP, drafts the narrative and a proposed CAPA, and queues both for QA — the clock starts working for you.

Incoming certificates of analysis routed to the right material record, values extracted, out-of-trend results flagged for the quality team — no inbox archaeology.

The monthly stability summary, the quarterly deviation trend report, the annual product review skeleton: compiled on schedule, filed to Output, on time every time.

Sites behind on enrollment, coordinators with expiring documents, investigators due a quarterly update: audiences built from your study data — no exporting lists to a mailing tool.

A document-expiry reminder, a follow-up a week later, an escalation to the CRA if unanswered: sequences drafted for approval, stopped automatically when the site responds.

A site in Warsaw and a site in Osaka get the same update in their own language, in your program’s voice — with your regulatory-review rules applied first.

Samples, studies, deviations and documents mapped field by field, with a dry-run preview before anything writes — push, pull or two-way, your quality unit’s choice.

COAs, site documents, instrument outputs and correspondence arriving by email or upload are filed to the right record under your handling rules — automatically.

A full API for whatever else the lab runs: instrument software, safety databases, portals — data in, results out, under scoped keys, every event logged.

Admin-created accounts, no self-signup, every action tied to a named user — the A in ALCOA, enforced by the login system itself.

The server redacts what a role cannot see — a blinded team member gets the study calendar without the unblinded fields, structurally, not by promise.

Five-level workgroups separate programs, studies and sites; the on-premises option puts the entire system inside your facility, air-gap capable, USB updates.

Ask the chat what a site coordinator would ask: “when is the next monitoring visit window?” — watch it answer from approved information and offer to book.

Ask: “how would you draft a deviation narrative?” — it walks the workflow it would run in your tenant: sources, citations, QA sign-off included.

The full demo loads a pharma tenant with sample records: literature surveillance, stability summaries, SOP answers — your world, working.