Pharma & Life Sciences
Regulated documents, controlled changes, 21 CFR Part 11 & GxP evidence — governed end-to-end across R&D, manufacturing, regulatory affairs and pharmacovigilance.



The governed action control plane
Wefttora is the weft — the governed thread woven across the AI platforms and business units you already run. Describe an outcome; get back an auditable agent that holds every push for a human confirm.
Why Wefttora
Policy, approvals, DLP, and audit are enforced by the Governance & Policy Core — on every run, no matter how the agent was built.
No agent pushes to a system of record without a person confirming. Reviews are fast, and confirmed edits become reusable rules.
You measure business results, not model usage. Bring your own models, tools, or licenses — each swap removes a line from the invoice.
Every connector, skill, and agent you approve is reusable across teams. Reuse lowers size, cost, and time-to-value.
How it works
The same governed record travels from the first sentence you type to the last system it updates.
Tell Assist the outcome in plain language — or upload a real sample document. It derives the approach, the systems, and the governance shape.
Every plan is validated by the Governance & Policy Core before anything runs — approvals, data-loss prevention, risk tiering, audit.
The agent executes on the Canvas — deterministic steps for mechanical work, reasoning only where judgment is needed.
Nothing pushes to a system of record without a human decision. Edit, approve, and your corrections become reusable rules.
Deliver to your ERP or CRM, drop reviewed files to SharePoint, notify Teams or Slack, or publish to Power Automate, Logic Apps, n8n, and Copilot Studio.
One platform · three ways in
The same governed skill you build on day one re-binds up the ladder as your controls, entities, and geographies grow. No rewrites between tiers.
16+ languages · right-to-left included · geo policy shifts by region. See the hero for a live language cycle.
Built for your industry
Every vertical ships with canonical document shapes, connector stacks, and governed playbooks. Below: three quick spotlights showing how one governed skill re-binds across BUs inside the same industry. Full catalogue on Solutions.
Regulated documents, controlled changes, 21 CFR Part 11 & GxP evidence — governed end-to-end across R&D, manufacturing, regulatory affairs and pharmacovigilance.
Statement-to-books, KYC, reconciliation and trade lifecycle — governed across wealth, markets, consumer and controllership with a human confirm on every push.
FNOL through claims, underwriting and policy admin — one governed platform across Health, Life & Annuity, P&C and Bancassurance, with the same identity, policy, and claim shapes re-bound per book.
Identity · Document · Transaction · Approval record — a skill approved once re-binds without a rewrite.
Reuse beats sprawl
Deep vertical coverage doesn't mean a new agent per business unit. The same governed skill you approve for one BU re-binds to its siblings — Pharma across R&D, Manufacturing, Regulatory Affairs and Pharmacovigilance; Finance across Wealth, Trading, Consumer and Controllership; Insurance across Health, Life and P&C — under one governance model.
End-to-end · one governed flow
Requests arrive on any channel, are handled by a governed agent (with Tora asking what's missing), read and write through your connectors, are emitted through the two emitter kinds, and reach users on the surfaces they already use.
One governed platform · 135 canonical payloads. Swap the cloud, the model, the runtime, or the channel — the skill and its governance travel with it. Every stage reads and writes the same normalized record.
Request a demo
Bring one real workflow and one real document. We'll show you the governed journey end to end — the reviewed run, the audit thread, and the outcome economics your leadership will ask about.
A working session on your hardest workflow, not a scripted walkthrough. Leave with the governance story your CIO and CFO will want to see. Prefer hands-on? Register and try it on your own use case — we think you'll love what comes back.