Executive Summary

Many organizations—from life sciences and utilities to finance, government and large engineering firms—produce dense technical reports that are costly to consume, misunderstand, or legally vulnerable when misinterpreted; this pain affects an estimated 6 million knowledge‑intensive organizations globally and drives avoidable delays, compliance risk, and stakeholder frustration. Teams spend hours rewriting or fielding clarifying questions, and non‑technical stakeholders often make poorer decisions because documents are not written for lay audiences. You could build an AI‑driven simplification platform that combines domain‑adapted LLM paraphrasing with rule‑based plain‑language constraints, a human‑in‑the‑loop editor and an auditable change log; deliverables would include graded simplified versions, justification annotations, readability and comprehension metrics, and turnkey plugins for Docs, Office, Confluence and common DMS. Target commercial models at annual contract values near the $3,000 benchmark to capture the $18.0B addressable market while offering on‑prem or private‑cloud options, pilot ROI dashboards (e.g., 20–40% faster review in pilots) and compliance certifications. The timing is favorable: LLM quality improvements make high‑fidelity, intent‑preserving edits increasingly viable even for sensitive content, plain‑language regulation and transparency requirements are accelerating demand, and enterprises now buy solutions that embed into existing workflows rather than standalone products. Market scoring (92/100) and revenue potential (84/100) reflect a substantial near‑term opportunity if execution is timely. To stand out you will need domain‑specific fine‑tuning, verifiable audit trails, explicit intent preservation and robust human‑review workflows, plus deep integrations and enterprise security to overcome adoption friction; these are realistic differentiators but require upfront investment in data partnerships, compliance work and enterprise sales. Competition is medium—there is room to lead on accuracy and trustworthiness, but expect long sales cycles and the need to prove efficacy in regulated environments.

Market Opportunity

AI-driven simplification of technical reports for lay audiences targets a $18.0B = 6M knowledge-intensive orgs x $3,000 ACV (global annual spend potential for writing/clarity tooling) total addressable market with medium saturation and a year-over-year growth rate of 18% (enterprise AI productivity tools and writing-assistant adoption growth).

Key trends driving demand: LLM quality improvements -- higher-fidelity paraphrasing and intent-preserving edits make automated simplification viable for sensitive domains.; Plain-language regulation & transparency demands -- government and healthcare pushes increase demand for accessible documents.; Integration-first enterprise buying -- customers prefer tools that embed in existing workflows (Docs, Office, Confluence, DMS).; Rise of knowledge-worker AI budgets -- companies are allocating dedicated spend for AI tools that boost writer productivity..

Key competitors include Grammarly, Wordtune (AI21 / Rephrase tools), Hemingway Editor, OpenAI / ChatGPT (and other LLM APIs).

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AI-driven simplification of technical reports for lay audiences

Executive Summary

Market Validation

Market Opportunity

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