Structured Authoring for Pharma & Life Sciences

The standard behind faster, safer, AI-ready scientific content.

Your writers aren’t the problem. The absence of a shared standard is. We build it, train it, and embed it — so review is faster, reuse is trustworthy, and your content is ready for AI.

Book a Demo →

Advisors to leading pharmaceutical organizations
Eli Lilly
Merck
AstraZeneca
Gilead
Regeneron

The business problem

Your scientific content is creating more work than it should.

Too much effort goes into creating, reviewing, reconciling, and maintaining content that should already be clear, consistent, and easier to reuse.

2026 peer-reviewed research
Regulators cite verbosity, repetition, and unclear rationale as review delays.
The review connects lean and structured authoring with clearer content, lower reviewer burden, stronger reuse, and better preparation for automation.
Geary et al., Therapeutic Innovation & Regulatory Science, 2026.

Optimizing Clinical Study Report Development Through Lean Authoring paper

Reported industry results

What the shift can deliver.

Published examples from pharmaceutical organizations adopting lean and structured authoring.

Faster path from data availability to CSR approval

Up to 90%1
Less time from data availability to CSR approval
Reported at Novo Nordisk

Reduction in document length

≈50%2
Reduction in document length
Reported at Merck

Writers redeployed to higher-value priorities

37 writers3
Freed for higher-value work
Reported at Novo Nordisk
These are reported outcomes from individual pharmaceutical organizations, not Precision Content client results and not guaranteed outcomes. Results vary based on factors including scope, templates and digital tools, stakeholder adoption, business process, and training.

What a standard changes

Same science. Different information architecture.

The difference is not a prettier document. It is a repeatable way of organizing scientific information so reviewers have less work to do.

Before
Individual authoring decisions
Before applying a shared content standard

The meaning is there, but the reviewer has to reconstruct more of it.

More work for the reviewer
→Find the key message
→Infer relationships
→Compare findings mentally
→Separate evidence from context
After
Shared content standard
After applying a shared content standard

The same evidence is organized according to a repeatable information pattern.

The standard does more of the work
✓Surfaces the key message
✓Groups related evidence
✓Makes comparisons explicit
✓Separates qualification from findings
The science does not change. The amount of work required to understand, review, reuse, and govern it does.

The Precision Content engagement

Build the standard. Make it operational.

Move from individual authoring decisions to one repeatable organizational method that can be taught, applied, governed, and scaled.

01
Assess
Find where authoring and review friction begins.
02
Define
Codify structure, terminology, patterns, and reuse rules.
03
Train
Give writers one practical method for making content decisions.
04
Apply
Use the standard on real scientific content.
05
Reinforce
Embed the standard into coaching, governance, automation, and AI.
Five stages. One capability that compounds.

AI-assisted authoring

Give AI the same rules your best writers use.

Codify structure, terminology, reuse rules, and content purpose so AI-assisted authoring works from a governed standard rather than generating more variation.

What belongs
How it is structured
Which terminology to use
What can be reused
When to reference or generate
Faster drafting. Less correction. More control.

Client evidence

Proven in global pharma.

Eli Lilly and Company

“Once we began applying structured authoring methods, we saw massive page reductions in some documents. The content was much more valuable and fit for purpose.”
John April
Senior Director, Adaptive Content Strategy
Eli Lilly and Company


Read the Lilly case perspective →

AstraZeneca

“Precision Content training completely transformed my approach to writing. My documents are now clearer, easier to read, and more effective. It’s even helped me get better results using GenAI.”
Specialist, Medical Information and Communication
AstraZeneca

See the approach

See what your writers could look like with one shared standard.

We’ll show you how the method works, what changes in real scientific content, and how the same standard can support review, reuse, governance, automation, and AI.

Book a Demo →

Write for the reviewer. Structure for reuse. Prepare for AI.

Sources & notes
1.
Geary L, Nielsen IØ, Charron F, et al.
Optimizing Clinical Study Report Development Through Lean Authoring: A Framework for Meeting Regulatory Expectations and Preparing for Automation.
Therapeutic Innovation & Regulatory Science. 2026.
The authors report reductions in time from data availability to CSR approval for registrational CSRs of up to 25% at Novartis, 50% at Pfizer, and 90% at Novo Nordisk.
↑
2.
Geary L, Nielsen IØ, Charron F, et al.
Therapeutic Innovation & Regulatory Science. 2026.
The paper reports approximately 50% reductions in document length at Merck.
↑
3.
Geary L, Nielsen IØ, Charron F, et al.
Therapeutic Innovation & Regulatory Science. 2026.
The authors report that Novo Nordisk centralized CSR authoring to a team of four writers using automation, freeing 37 other writers to prioritize other business needs.
↑
These examples are reported outcomes from individual pharmaceutical organizations and should not be interpreted as Precision Content client results or guaranteed outcomes. Time savings and efficiency gains vary based on factors including the scope of the change, templates and digital tools used, stakeholder acceptance, business process, and training methods.