An AI Agent White paper Template That Survives Procurement
A section-by-section white paper template for AI agent companies — what each section is for, how long it should be, and the failure mode to avoid in each one.
· 10 min read
Most white paper templates are outlines for documents nobody finishes reading. This one is built backwards from how enterprise buyers actually consume a paper: the summary is read by everyone, the method by the sceptic, the economics by finance, the appendix by security. Each section has one job.
Cover and abstract
A title that states the finding, not the topic. "Agentic support deflects 41% of tier-one tickets" beats "The future of AI in customer support." Add a two-sentence abstract under it so the paper survives being screenshotted into Slack.
Executive summary — one page, written last
The thesis, the three findings, the recommendation, the number. This is the only page most executives read, and the page your champion pastes into an email. Write it after everything else, and keep it free of setup, throat-clearing, or category education.
The problem, stated in the buyer's language
Two to three pages, quantified with their metrics rather than yours: cycle time, cost per case, headcount, backlog, error rate. Failure mode to avoid: describing the problem as the absence of your product.
Method or architecture
How the work was done or how the system is built. For a benchmark: dataset, harness, scoring. For an agent architecture: planner, tools, memory, guardrails, evaluation. This section is what separates a white paper from a brochure — it lets a technical reader check you.
Findings and evidence
- One claim per subsection, stated as a heading
- A chart or table under each claim, labelled so it can be lifted into a deck
- The counter-example or the case where the result did not hold
The economics
Baseline, delta, assumptions, payback period, sensitivity on the two variables that move the result most. State the assumptions you are least sure about first. Finance teams trust models that flag their own weak points.
Risk, governance, and limitations
Data handling, retention, access control, audit logging, human-in-the-loop gates, evaluation cadence, incident response, and known failure modes. Written plainly, in a table where possible. This is the section that shortens security review, which is usually the longest delay in an enterprise cycle.
Deployment path
- 1Prerequisites: systems, permissions, data access
- 2Phase one: scope, timeline, success criteria
- 3Phase two: expansion and the gate that triggers it
- 4Ownership: who runs it internally, and how much of their week it takes
Appendix and one clear next step
Detailed tables, evaluation prompts, glossary, references. Then a single next step — one action, one contact, one link. Papers that offer three next steps get none of them taken.
Three mistakes that sink otherwise good papers
- Writing for the whole buying committee at once, so no seat feels addressed
- Claims without method, which turn a technical reader into a sceptic
- Design that undercuts the content: stock photography, dense grey text, charts screenshotted from a spreadsheet
If you would rather not run this process internally, we run it for you: research, interviews, writing, and design, delivered in four weeks under your brand.
FAQ
- How do I structure a white paper for an AI product?
- Cover and abstract, one-page executive summary, the problem in the buyer's metrics, method or architecture, findings with evidence, economics, risk and governance, deployment path, appendix, and a single next step.
- Should a white paper mention the product?
- Yes, but late and specifically. Establish the finding and the method first; introduce the product where it is the concrete answer to the problem you just quantified.