Case study: on 21 September, OpenAI published how V7 organises business information from sources including SharePoint and Google Drive in a Context Graph. It connects entities, relationships and facts with evidence from the original source, so agents do not need to rediscover the same context for every task.
V7 reports that GPT-6 Astra achieved 89% accuracy on its most difficult internal graph-query test, compared with 78% for GPT-5.6 Sol. These results come from V7’s own test setup and are not a general guarantee for other businesses, documents or workflows.
DigiDare perspective: for an SME, a reliable agent does not start with as many documents as possible, but with one clearly scoped file set, explicit versions, access rights and source references. Test whether answers point to the correct source, document exceptions and require employee approval for decisions with financial, legal or customer impact.
What does this mean for your business? ↗