SecureCHEK AI in Action: Case Studies

These case studies summarize our findings based on SecureCHEK AI having built libraries and automated the checking of new content against the library.

How SecureCHEK AI Can Increase MLR Efficiency

Three Use Cases Were Tested

For each POC, SecureCHEK AI built a claims library and automated the checking of new content against the library. The purpose was to determine whether automation of manual marketing tasks would deliver value.

Can automating claims library building and prechecking with AI:

  • Increase productivity of consulting editors and minimize the need for legal consults?
  • Ensure MLR receives review-ready submissions when agencies check materials throughout the content creation process to avoid errors?
  • Free up coordinator time by speeding up the identification of errors and claims deviations?

Feasibility Study #1: Large Pharmaceutical Company

Objective: Determine whether AI can increase productivity of consulting editors and minimize need for legal consults

Situation

  • Company is contracting out editorial services to check payer information in every promotional material
  • Content must match 100% to legally approved information in an excel library
  • Promotional agencies find it difficult to follow instructions in excel which change frequently
  • Submissions contain errors increasing editorial consulting costs and necessitating discussion with legal

Outcomes and Extrapolated Benefits

  • SecureCHEK AI Quality Assessment Report confirms content is a 100% match for legal
  • Submission of higher quality materials would save enough hours to review ~300 additional materials per Franchise
  • Across 6 franchises, time saved would equate to ~1,800-2,000 additional materials reviewed
  • Eliminating deviations would reduce actual costs and eliminate agency rework

Feasibility Study #2: Large Pharmaceutical Company

Objective: Determine whether MLR will receive review-ready submissions when agencies check materials throughout the content creation process

Situation

  • Company is experiencing delays in distribution of marketing materials given errors found by MLR reviewers
  • Errors are found in final submission after multiple rounds of review for the same material

Outcomes and Extrapolated Benefits

  • Agencies can avoid ~4 days of delay by preventing common deviations early in content development:
  • Use of an old reference
  • Appearance of an unapproved claims deviation
  • Appearance of new content that wasn't discussed before
  • ISI typo

Feasibility Study #3: Mid-sized Pharmaceutical Company

Objective: Determine whether AI can free up coordinator time by speeding up identification of errors

Situation

  • Company is promoting its drug and resources are tight
  • Coordinators are expected to check the agency's submissions
  • Manually checking materials is time-consuming as coordinators need to read every word

Outcomes and Extrapolated Benefits

  • Automating prechecking identifies: claims deviations, missing/incorrect references and footnotes, missing/incorrect co-travel requirements, ISI text/format errors, nuisance mistakes
  • By cutting coordinator time by 68%, AI can double coordinator capacity
  • Free up time to support company's process improvements

How SecureCHEK AI Can Save Time and Money

Approach

SecureCHEK AI has analyzed data available in the public domain to develop a model for determining potential time and cost savings from implementing an AI-powered precheck solution. These include:

  • CMO Survey of marketing spend (CMO Survey, Spring 2024, Deloitte, Duke, AMA)
  • MLR salary information (based on MLR staffing company, OSR)
  • Agency billable rates (4As Billing Rate Benchmark Survey Report) - Account team, Copywriters, Art directors, Editors
  • Anecdotal data from industry veterans (agency, client, consultants)

Illustrative ROI Example

SecureCHEK AI Customers Can Increase Strategic Agency Activity With No Additional Spend, Or Bank the Savings

ItemAmountNotes
Annual drug sales$2,500,000,000
Marketing spend$235,500,0009.4% of sales*
Agency spend$21,150,0009% of marketing spend
Agency spend savings$14,107,05066.7% of agency fees
In-house savings$2,000,00080% of MLR salaries
Total savings$16,107,050
SecureCHEK services by drug$30,000
ROI536.9x

*CMO Survey, Spring 2024, Deloitte, Duke, AMA

Agency Time Savings

Account team, Copywriters, Art Directors, Editors

Time spent with SecureCHEK AI: 17.1%

Time saved: 82.9%

In-House Time Savings

Medical, Legal, Regulatory Reviewers

Time spent with SecureCHEK AI: 8.3%

Time saved: 91.7%

SecureCHEK AI Cuts Review Time by 66%

Materials Are in Market Faster, More Efficiently

Ready to see SecureCHEK AI in action?

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