Checked before it is saved
Submissions, approvals, events, settings changes, alerts and deviations all pass the ruleset first.
• The platform
Every Factro product runs on three pillars. Compliance native: a Compliance Engine checks every action against your ruleset. Process driven: Task Manager moves the work across departments. AI first: Prism explains what your records are telling you.
Inside ERP, MES and QMS. Nothing to bolt on.
Pillar 01 · Compliance Native
An isolated service holds the ruleset for your framework and industry, and checks every action against it.
Submissions, approvals, events, settings changes, alerts and deviations all pass the ruleset first.
An action that fails a rule waits for the right signature, with the reason attached.
Approve, approve with conditions or reject. The signature and its meaning go to the append-only, hash-chained audit trail.
Rulesets
One ruleset per framework and industry. It changes only when the regulation does, after internal and external review.
Pharmaceuticals
Frameworks
RS-PHAv2026.4
CTL-DIData integrityCTL-DOCDocumentationCTL-PRDProductionCTL-QCQuality controlCTL-RELReleaseCTL-TRNTrainingValidated internally and externally
New or revised regulation is published.
We map the change to each affected rule and control.
Our quality and engineering teams test every affected rule.
Independent reviewers check conformance before release.
A new ruleset version ships with release notes. Earlier versions stay on record.
Pillar 02 · Process Driven
Task Manager drives the work within and across departments, as you configure it. Every handover arrives as a ticket with an owner, a clock and the record attached.
Workflow and ad-hoc tickets assigned to you, across every module.
TKT-0142Overdue 1d
TKT-0139Overdue 4h
TKT-014018h left
TKT-013820h left
TKT-0136Blocked 2d
TKT-0121Done 3d late
Workflow tickets land in Task Manager by role. Ad-hoc tickets sit beside them.
Overdue, due today and time left show on every ticket, so a delay is visible early.
A blocked handover names who it is waiting on until they accept it.
Task performance
Each task is measured from assignment to close. Good work gets noticed, overdue work gets escalated, and management sees the whole plant without asking for a report.
Measured
Celebrated
Line 2 closed every IPQC check on time this month.
Accountable
Visible to management
| On time by week | W1 | W2 | W3 | W4 | W5 | W6 | W7 | W8 |
|---|---|---|---|---|---|---|---|---|
| Stores | 92 | 94 | 90 | 95 | 96 | 93 | 97 | 96 |
| Quality control | 85 | 88 | 82 | 86 | 90 | 91 | 89 | 93 |
| Production | 90 | 92 | 94 | 91 | 93 | 95 | 94 | 96 |
| Quality assurance | 88 | 84 | 87 | 90 | 92 | 89 | 93 | 94 |
| Engineering | 78 | 80 | 76 | 83 | 85 | 82 | 86 | 88 |
| Dispatch | 95 | 96 | 94 | 97 | 96 | 98 | 97 | 98 |
Pillar 03 · AI First
Five specialist agents in one window, open from any page. Each reads the records for its job, shows its sources, and hands the decision back to a person.
Privacy
Prism AI runs on private models in Factro’s private cloud, and sees only what your role allows.
An agent reads only what your role can open, with the same permissions as the rest of Factro.
Questions, records and answers stay inside your tenant. Nothing is sent to an outside AI service.
The models run in Factro’s private cloud, next to your data, not on a public AI platform.
Agents answer about your plant, your records and your work. Lunch recipes are politely declined.
Agents do not sign, release or close anything. Every regulated step still needs a person.
Each finding links to the records it came from, so it can be checked before anyone acts.
Before you start
Straight answers on rulesets, tasks and what the agents do and do not do.
Talk to our teamEvery submission, approval, event, settings change, alert and deviation, before it is saved. An action that passes is saved; one that breaks a rule is held, with the reason attached, until the right person signs for it. Either way, the check is written to the append-only, hash-chained audit trail with the rule that decided it.
Only Factro, and only when a governing body changes the regulation. Each change is mapped to the rules and controls it affects, validated by our quality and engineering teams and by independent reviewers, and released as a new version with release notes. Earlier versions stay on record, so you can show which rules applied to any past batch.
Everything that is yours to decide: workflows, approval conditions, release queues, roles, SLAs and the handovers between departments, set around your SOPs. The ruleset carries the regulation; your configuration carries your procedures. Every configuration change is recorded in the audit trail with who made it, when and why.
No. Task Manager moves the work, and the Compliance Engine decides whether the action is allowed. A ticket whose action fails a rule stays open with the reason on it, until the condition is met or an authorised person signs an exception.
On one record. A failed IPQC check is held by the Compliance Engine before the batch can move on, opens as a deviation ticket with an owner and a clock in Task Manager, and reaches the Deviation Analyst in Prism AI with the history for that line, product and stage already attached. Nothing is copied between the three, so nothing can drift apart.
No. Prism AI runs on Factro’s proprietary model in Factro’s private cloud, scoped to your tenant and to the role of the person asking. Nothing is sent to an outside AI service, and nothing is used to train a model.
Regulatory frameworks shown here are control-mapping references, not product certifications. Applicability depends on your processes, configuration, validation and operating procedures.
AI-generated findings need review against source records and your quality procedures.
Make it your workflow
Walk through one batch with our team, from the rule that checks it to the task that moves it and the agent that explains it.