Governed AI assistance built on a single connected study record, helping research teams work faster while retaining full control over every regulated decision.
LONDON, LONDON, UNITED KINGDOM, August 25, 2026 /EINPresswire.com/ — AQ Trials has introduced Connected AI Intelligence, the governed AI layer of the AQ Platform, bringing artificial intelligence to clinical research operations through a connected, inspection-ready platform rather than isolated AI tools.
Built on a single study record shared across CTMS, eTMF, eISF, ePSF, QMS, CAPA and Digital Delegation of Authority (DoA), Connected Intelligence helps research teams prepare work, identify operational risks earlier, reduce manual administration and improve study oversight, while ensuring that every regulated decision remains with authorised users.
AQ Platform Offers Holistic Experience Backed by Connected AI Intelligence
AQ Platform has evolved over six years through daily use across NHS, academic and commercial research into a single governed environment.
Every module works from the same study record. Instead of moving information between disconnected systems, research teams work from one continuously updated operational record.
AQ’s Connected Intelligence analyses relationships across the entire study rather than individual modules, allowing it to identify risks, recommend actions and reduce administrative workload throughout the research lifecycle.
Across the AQ Platform, AI helps research teams:
• Forecast enrolment, recruitment and study milestones before delays occur.
• Identify site performance risks and operational bottlenecks earlier.
• Automatically organise, classify and retrieve study documentation.
• Detect missing essential documents, expiring certifications and incomplete records before inspections.
• Generate monitoring reports, inspection summaries and operational narratives from existing study data.
• Predict protocol deviations, training gaps and recurring quality issues before they affect study delivery.
• Draft CAPAs, root cause analyses and quality documentation to reduce administrative effort.
• Reconcile pharmacy inventory, dispensing records and investigational product accountability.
• Continuously assess inspection readiness across studies, sites and research networks.
Rather than replacing existing workflows, Connected Intelligence reduces repetitive administrative work so research teams can focus on participant care, study delivery and regulatory oversight.
Governance Before AI
Connected Intelligence was built on AQ’s existing governance framework rather than added alongside it.
Every AI recommendation is reviewable. Every accepted action remains attributable to a named individual. Electronic signatures, delegated responsibilities, record certification and study approvals continue to require human authorisation.
Every recommendation, decision and resulting action is permanently recorded within the platform’s audit trail, providing transparency and supporting validation within regulated research environments.
The guiding principle remains simple: “AI prepares the work. Research professionals make the decisions.”
Designed for Modern Clinical Research
Connected Intelligence supports research organisations working within today’s regulatory expectations, including ICH-GCP E6(R3), the UK Clinical Trials Regulations, 21 CFR Part 11, ALCOA+, UK GDPR, NHS DSPT and Cyber Essentials.
By combining connected operational data with governed AI assistance in clinical Trial Management software , AQ Platform helps organisations improve inspection readiness, strengthen quality oversight and reduce the operational burden of running clinical trials.
About AQ Trials
AQ Trials is a clinical trial management platform combining CTMS, eISF, ePSF, eTMF, QMS, CAPA and Digital DOA modules in one connected environment. The platform is designed to support alignment with ICH-GCP E6(R3), 21 CFR Part 11, EU Annex 11, GAMP 5, ALCOA+ and the NHS Data Security and Protection Toolkit. More information is available at aq-trials.com.
Media Contact
Ash Mahmud
Founder, AQ Trials
aq-trials.com
Ash Mahmud
AQ Trials
enquiries@aq-trials.com
Visit us on social media:
LinkedIn
X
YouTube
Legal Disclaimer:
EIN Presswire provides this news content “as is” without warranty of any kind. We do not accept any responsibility or liability
for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this
article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Media gallery
