Lyriko MLR Pre-Check is an AI-powered solution that streamlines the pre-review process by automating compliance checks for spelling, grammar, claims, disclaimers, tone of voice and legal and regulatory standards. This enhances efficiency in the MLR process.
MLR (Medical, Legal, Regulatory) review is the mandatory process of checking pharmaceutical promotional content for accuracy, compliance, and proper scientific substantiation before it can be published. It is a major bottleneck: review cycles are slow, rework is frequent, and launch or content delays carry significant unrealized revenue costs every day.
Lyriko MLR Pre-Check is an AI-powered tool that streamlines the pre-review process by automating compliance checks for spelling, grammar, claims, disclaimers, medical and marketing tone of voice, and legal and regulatory standards. Developed by Hyntelo, it screens content before formal MLR submission, making approval faster and reducing rework.
MLR Pre-Check works end-to-end: a reviewer starts a run with a “Run MLR” action inside Veeva; the AI then runs multi-dimensional pre-checks across all compliance dimensions, classifies every issue as Low, Medium, or High risk, and applies structured inline comments and visual highlights to the exact content section. When the run finishes, stakeholders receive an email notification with a summary of findings and a deep-link back to the document.
MLR Pre-Check runs automated checks across the core compliance categories of pharma content review: Grammar & Syntax (spelling, grammar, and language correctness); Claims (verifies each promotional claim is supported and correctly anchored to its scientific reference); Regulatory (checks content against the rules and codes of the markets in scope); Medical (verifies medical accuracy and consistency, e.g. against the product SmPC); and Tone of Voice (ensures consistency in both medical and marketing tone). It also supports disclaimer checks and client-specific custom checks, and each check can be enabled, tuned, or disabled.
Each check requires different inputs. Grammar & Syntax needs nothing. Claims needs a claim library or reference library. Regulatory needs a review of the regulations for the markets in scope. Medical needs the product SmPCs. Marketing tone of voice needs the brand guidelines for the relevant brand, market, or target. Providing these upfront is what lets the AI tune checks to your standards.
MLR Pre-Check delivers 2–3x faster content approval and a +44% increase in first-round approvals. By screening assets before the formal cycle, it reduces first-submission rejections and the number of rework rounds, for example, cutting rework per round from 4 days to 1.3 and regulatory/medical VPM approval from 5 days to 1.7 in benchmarked use.
Yes. Hyntelo is an official Veeva AI Partner, and MLR Pre-Check is natively integrated with Veeva Vault PromoMats with full SSO and UI. It writes annotations only: it generates structured comments and visual highlights directly on the content, but never modifies document fields, lifecycle states, or the annotations made by human reviewers, so brand managers stay in control, in the tools they already use.
MLR Pre-Check is built for strict multi-tenant isolation: every operation carries the tenant identity, and no operation crosses tenant boundaries. Each client’s data is filtered to that tenant on every read and write, search indexes apply per-tenant filters, and supporting files are stored under per-tenant prefixes. Tenant entitlements are verified on every run, and partial results are persisted for audit purposes.
The solution supports OCR on scanned or flattened PDFs, but the quality of the extracted text depends on factors like scan quality and can introduce false positives. For top accuracy we recommend machine-readable PDFs, which guarantee the highest quality and reliability. Scanned or flattened content is therefore not advised for compliance-critical review.
MLR Pre-Check is multi-format, PDF, Word, PPT, Excel, JPEG, HTML and Office files, and more, and multi-language, supporting more than 40 languages. It can handle multi-language content within a single asset, and the interface itself can be localized into any language, including Asian languages such as Chinese. It is available as SaaS or on-premise, with options for source anonymization and DAM integration.
Yes. Review categories are client-configurable from day one: through a control panel, teams can enable or disable each check, set its severity and regulatory framework, and choose who is notified. The solution also supports adding and customizing the checks performed. Building fully custom rules or agents directly by end users is not yet available, but checks can be tailored to your guidelines.
For a brand in a market already in scope, activation typically takes 2–5 days, depending on complexity. For a new market not yet in scope, it takes about 2 weeks, mainly to fine-tune the regulatory checks for that market.
No. MLR Pre-Check is a pre-check that screens content before the formal review cycle, surfacing issues early so human reviewers focus on what matters. It accelerates the controllable steps of the process; the human medical, legal, and regulatory teams keep final approval, and the non-compressible health authority review timeframe remains unchanged.
MLR Pre-Check is one of the few tools combining grammar and spelling, claims verification and anchoring in Veeva, disclaimer, medical and marketing tone of voice, legal and regulatory checks, plus summary reports with risk assessment. It adds client-configurable custom categories, auto-notify workflows, colour-coded comments, and native Veeva PromoMats integration as an official Veeva AI Partner.
Lyriko is built by Hyntelo, founded in 2015 as a Sant’Anna School of Advanced Studies spin-off and part of the Assist Digital group, ISO certified and FT Fastest Growing three years running. MSD, Novo Nordisk, Organon and 15+ top pharma companies have been live production clients across 60+ markets since 2020, these are proven deployments at scale, not pilots.
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