Who is buying, and what is next
What an agency has bought, from whom, at what value, and on what cycle. Contracts coming up for renewal are the pipeline nobody has published yet.
No new dashboard. ChatGPT connects to the source data and answers there.
The weekly triage problem is well known to anyone in capture. Notices arrive, someone skims them, and a judgement gets made in about forty seconds per opportunity on evidence that would take twenty minutes to gather properly. The evidence exists, it is published, in the same systems the notice came from, but not in a form anyone can consult at the speed the decision demands.
Connecting procurement records to ChatGPT makes that evidence conversational. What has opened this week in our categories. Has this agency bought this before. Who supplied it, and did they win the follow-on too. Those are three questions in a row, and each one narrows the field, which is exactly what forty seconds of skimming cannot do.
For teams standardised on ChatGPT this needs no procurement platform at all. The distinction matters because platforms carry adoption cost: licences, training, someone to own it, and the quiet reality that half the team keeps working out of email anyway. An MCP connection has none of that. The assistant simply gains access to the records.
What an agency has bought, from whom, at what value, and on what cycle. Contracts coming up for renewal are the pipeline nobody has published yet.
The suppliers who keep winning in a category, with their award history and estimated win rate. Know the incumbent before you commit a team to the response.
Awarded contract records with values and dates. Price against evidence of what this buyer has paid before, not against a guess.
Open opportunities across every covered portal, filtered by the criteria your team actually qualifies on.
Four questions, so the conversation is useful. We come back to you directly.
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