Built-in AI assistants flag language issues, quality gaps and partially-approved content as you create — so authors and reviewers move faster, with confidence.
Shaman is a self-service authoring platform that lets pharma brand teams create high-impact tactics — emails, detail aids, landing pages, and social & display.
The Shaman Authoring Framework sets the guardrails before creation begins: approved templates, locked components, modular content and a built-in brand design system keep every asset consistent from the first click.
Then, as creators build, the AI Compliance Assistants flag language issues, quality gaps, brand inconsistencies and partially-approved content — so every tactic is reviewed, validated and ready for accelerated MLR submission. Authors gain confidence, and reviewers get cleaner submissions.
Content Quality Assistant
Quality issues — missing URLs, alt text, token syntax errors, incomplete references — often surface during MLR review or later, causing delays, frustration and costly rework. The Content Quality Assistant proactively screens for a wide range of quality issues while you author, so every tactic meets your organisation's internal standards. It delivers more consistency, rigour and coverage than manual checks ever could — automating validations in real time, without human error or reviewer fatigue.
Proofread Assistant
Up to 80% of tactics contain language issues when they enter MLR submission — leading to unnecessary rework, delays and frustration for authors and reviewers alike. The Proofread Assistant catches grammar, spelling and readability issues early in the authoring process, so content is polished and professional long before it reaches MLR. With support for 35+ languages, it makes validating content easy across every global market.
MLR Compare Assistant
MLR reviewers waste countless hours checking new promotional materials line by line. As content volumes grow and timelines tighten, internal teams can't keep up — forcing companies to lean on costly external reviewers. The MLR Compare Assistant scans each draft block-by-block and compares it against an indexed base of previously approved materials — including citations and references — to identify what's new, what's changed, and what's already approved, automatically, with no extra resource needed. Reviewers focus only on net-new content and meaningful differences, while authors resolve similarity issues during creation — fewer rechecks, faster approvals, and far better use of your MLR team's time.
What you achieve
Accelerated reviews — content comparison lets reviewers focus only on what's new or changed, reducing review time and easing MLR workload.Improved accuracy across text and visuals — automatically detects even subtle changes in claims, references and image text, so nothing is missed in copy or creative.Higher first-time approval rates — pre-submission optimisation catches mismatches, outdated claims and missing references before they cause resubmissions.Cost efficiency — reduce reliance on external reviewers by giving internal teams smarter pre-check tools.Data from customer research in multiple markets and Shaman data of top-5 Shaman customers, 2021–2022.
Integrated, not isolated — the assistants run inside authoring, not as a separate step.Built for creators and reviewers — authors fix issues early; reviewers get cleaner submissions.Part of a proven, modular system focused on content excellence.Trusted by 3,000+ marketing and medical content professionals. · Veeva Silver Product, AI & Content Partner.
Discover how to produce better content, faster — and take back control.