Accelerating clinical trial site onboarding with no-code and governed AI
Qualifying research sites is one of the slowest steps before a trial can start. Here is how a no-code site portal, combined with AI that assists but does not decide, can take manual effort out of the process while keeping every decision auditable.
Before a single patient is enrolled, sponsors must find, qualify and onboard research sites that can run the trial to Good Clinical Practice standards. It is essential work, and in most organisations it is still largely manual.
The challenge: a manual maze
Traditional site selection and qualification, as QbD Group describes, typically involves:
- Identifying candidate sites through referrals and past collaborations
- Static feasibility questionnaires
- Manual review of CVs, GCP certificates and SOPs
- On-site qualification visits by clinical research associates
- Compiling site reports and risk assessments
The cycle often takes months, delaying trial start and putting recruitment targets at risk. Industry tools such as IQVIA’s Investigator Site Portal and TransCelerate’s shared resources help standardise the work, but much of the checking and routing still depends on people.
The approach: a no-code portal with governed AI
The model we design for biopharma clients combines two layers.
1. A no-code site portal
A secure, self-service portal, built on a no-code platform so operations teams can change it without developers:
- Self-registration and profiles covering facilities, staff credentials, therapeutic experience and infrastructure.
- Document upload for GCP certificates, SOPs, ethics approvals and financial disclosures.
- Dynamic questionnaires that adapt to study type, region and therapeutic area.
- Status tracking, so sites can see where they stand and respond to queries without chasing.
2. AI assistants inside the workflow
Document checks
Extract details such as certificate expiry dates and flag missing or outdated items for a reviewer.
Compliance screening
Check submissions against the study’s regulatory checklist and suggest a risk rating for human review.
Feasibility insight
Summarise a site’s experience and past performance to support, not replace, the feasibility decision.
Routing and escalation
Send low-risk items to study managers, route exceptions to compliance, and escalate when timelines slip.
In a GCP setting the AI prepares and flags; accountable people approve. Every AI suggestion and human decision is logged, and the workflow itself is validated before use. Our Responsible AI approach explains how we govern and measure it.
What sponsors can expect
- Faster onboarding, because checks run as soon as documents arrive rather than waiting in a review queue.
- Fewer manual errors, since data is captured once, at source, and checked automatically.
- Consistent rules applied the same way across countries and studies.
- A complete audit trail and live dashboards for oversight and inspection.
- A better site experience, which matters when good sites have a choice of sponsors.
The actual gains depend on your current process, study mix and data quality, so we baseline them during discovery and measure them after go-live.
Takeaways for operations and IT leaders
- Start with the most repetitive checks. Certificate and document verification is usually the quickest win.
- A portal alone is not transformation. The value comes from the workflow behind it: checks, routing and escalation.
- Build in compliance. Plan for 21 CFR Part 11, GDPR and ICH E6(R3) expectations, including validation of the workflow and its AI components.
- Design for the site user. Clear self-service and status updates reduce back-and-forth for everyone.
FAQ
What is a no-code portal?
An application built with visual configuration tools rather than code, so business teams can adapt forms and workflows quickly.
Does the AI make qualification decisions?
No. It extracts, checks and suggests. Qualified staff review and approve, and every step is recorded.
How long does implementation take?
It depends on the number of study types, regions and integrations. We scope it after a short discovery and usually start with one study or region.
Want to shorten your site start-up?
Tell us how you qualify sites today. We will map where automation and AI would make the biggest difference.
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