Tangent90 Resource Centre
Congress engagement platform used to build, host and distribute approved digital content for HCPs at scale — badge scanning, personalised follow-up and analytics included.
SecureChek AI + Tangent90
Congress content is approved late and deployed under pressure. SecureChek AI reviews your Tangent90 Resource Centre before it reaches MLR, so reviewers receive cleaner, better-evidenced material and teams reach congress-ready sooner.
AI supports your review process before final MLR approval. It does not replace human medical, legal or regulatory sign-off.
Pre-MLR review summary
PlaceholderThe joint proposition
This is a single congress workflow. The Resource Centre defines what good looks like structurally; SecureChek AI checks it before human reviewers spend their time on it. Together they shorten the path from brief to congress-ready.
Congress engagement platform used to build, host and distribute approved digital content for HCPs at scale — badge scanning, personalised follow-up and analytics included.
Automated pre-MLR review of the assembled Resource Centre: claims, labelling, references, disclaimers, navigation, links and completeness — surfaced as suggested issues and improvements.
The combined solution is greater than the sum of its parts: content is built in a structure the review engine understands, and reviewed against that structure before it ever reaches your MLR committee.
How it works
AI review sits between build and human approval — never after it.
Congress objectives, audience and approved source material.
Agency or in-house teams produce assets and interactives.
Content is assembled into a structured congress Resource Centre.
Automated review across pages, assets, metadata and interactives.
Prioritised findings with location and rationale for each item.
Medical, legal and regulatory reviewers make all final calls.
Approved Resource Centre deployed for the event.
Review scope
Capability descriptions below are placeholders and will be finalised following stakeholder interviews and validation.
Placeholder: checks against approved brand assets and usage rules.
Placeholder: tone, terminology and formatting conventions.
Placeholder: consistency of claims and wording across assets.
Placeholder: identifies claims requiring substantiation.
Placeholder: alignment of statements with approved labelling.
Placeholder: flags potential off-label references for review.
Placeholder: presence, format and linkage of cited references.
Placeholder: required statements, safety text and footnotes.
Placeholder: internal and external link validation.
Placeholder: required sections and populated content blocks.
Placeholder: journey integrity and dead-end detection.
Placeholder: review of interactive modules and states.
Placeholder: rendered-page visual review at key breakpoints.
Placeholder: structured metadata accuracy and completeness.
Placeholder: expected assets present and correctly referenced.
Placeholder: consolidated readiness view before deployment.
Why this matters
Placeholder section. Validated outcomes and supporting evidence to be added following stakeholder review.
Placeholder: fewer review cycles caused by avoidable errors.
Placeholder: cleaner submissions reaching MLR reviewers.
Placeholder: issues surfaced before production time is spent.
Placeholder: consistent standards across markets and congresses.
Placeholder: repeatable process across regions and events.
Placeholder: complete, accurate content at the point of interest.
The two halves
A congress engagement platform for pharmaceutical teams, used to deliver approved digital content to healthcare professionals before, during and after an event.
Placeholder section — to be expanded with approved Tangent90 detail.
Placeholder introduction. SecureChek AI applies automated review to digital pharmaceutical content ahead of human medical, legal and regulatory approval, returning suggested issues and improvements for reviewer consideration.
Approved product wording, screenshots and validated performance claims to be added following stakeholder sign-off.
AI output is advisory. Final approval remains with qualified human reviewers.
Indicative metrics
Illustrative placeholder values shown for layout purposes. Final figures will be substantiated before publication.
Case studies
Placeholder cards. Each will be replaced with a validated, customer-approved example.
Placeholder: multi-market congress programme summary.
Placeholder: single major congress deployment summary.
Placeholder: launch-phase content approval summary.
Placeholder: agency-led production and review summary.
FAQ
Get started
We will walk through a Tangent90 Resource Centre and show how SecureChek AI reviews it ahead of MLR. Prefer a conversation first? Ask to speak with an expert.