Useful history shows what happened and why.
For an AI data partnership, a useful starting point is a connected account of work: the problem, the relevant context, the decisions made and the outcome. File volume alone does not explain that history or establish a commercial value.
On this page
Start with an interpretable workflow
Imagine two project archives. One contains final presentations with no explanation of how they were produced. The other connects a brief, questions, draft revisions, approval and a delivery review. The second archive gives a prospective reviewer more information about the work, although rights, quality and particular requirements still determine whether it is suitable. This comparison is illustrative.
Describe the parts your company retains
| Part of the workflow | What to describe |
|---|---|
| Starting context | The kind of request, brief, ticket or requirement that initiated the work. |
| Decisions and revisions | Whether discussions, alternatives, review comments and changes are retained. |
| Outcome | How delivery, acceptance, resolution or another result is recorded. |
| Connections | Whether related items share a case ID, project reference or reliable timeline. |
| Coverage | The period, languages, approximate number of cases and known gaps. |
Explain quality and limitations
Separate completed cases from unfinished ones, original records from duplicates and retained evidence from recollection. Note major changes in systems or processes. If a workflow’s outcome is unknown, say so rather than treating a status label as proof of success.
Working language, specialist context and the diversity of cases can affect relevance. Buyers set their own requirements; there is no universal employee count, country list, software stack or minimum archive size that guarantees a partnership.
Check availability as carefully as usefulness
A detailed archive can still be unsuitable for disclosure. Identify who can authorise use, contractual restrictions, confidential material and personal information. Do not send samples to prove potential value before agreeing a review process. DataRoyal begins with a company profile and does not take custody of records.
Write a short workflow description
Use this outline: “We do [type of work]. We retain [kinds of records] from [period]. Related records are connected by [method, if any]. Outcomes are recorded as [description]. The main language is [language]. We need to review [known restrictions].” Keep it general and omit customer names and confidential details.
Bring that description to a follow-up discussion after the assessment. It supports a conversation about fit; it does not establish a price.
Start with your company profile.
See a preliminary summary before deciding whether to request a follow-up. No uploads or system connections.