Use casesBuying signals
Know who is ready to buy. And why. And who to call.
The signs that an organization is about to spend are public: a posted bid, a grant with a computing line, a jump in technology spending. They sit on hundreds of sites nobody can read every month. We build systems that read them all, tie every signal to evidence and hand your sellers one card per account: the stage, the reason and the person to call.
What gets in the way
A city posts a bid. A university wins a research award with a computing line. A school district files for connectivity funding. Each one is a buying signal, and each one lives on a different site, in a different format, on its own schedule.
Your sellers cannot read all of that every month. So they work the accounts they already know, and the ones about to spend go to whoever gets there first.
The lazy fix is to ask a model to guess who is ready. A model will call any account ready to buy. That is a list of names, not a reason to pick up the phone.
What we build
Agents read. Code decides what counts.
- One recognizer per source. Agents pull organizations, people and signals into a strict schema, and plain code parses every structured field.
- Every run folds into one record per account, by exact ID first and fuzzy name second. A change agent turns what shifted since last month into new signals.
- Agents propose a buying stage, from target through awareness, consideration and decision to purchase. Evidence rules then check the call, both ways: a model too cautious gets raised when the evidence meets the bar.
- Agents find the people who buy technology and draft the email and the call script. Generic inboxes are dropped. Invented names, emails and phone numbers are caught.
- Two reviewer agents walk every card through your own quality specification. The gate fails closed, and a person can overrule any decision.
- One card per account: the stage and why, the sourced signals and the contacts, delivered as PDFs and lead files your sales system already loads.
How we know it works
A buying call needs a signal close to a purchase. Context alone never gets an account past awareness.
- Bids past their deadline drop out. Signals older than twelve months do not count. An awarded contract is a finished purchase, not a lead.
- A repeat check holds back any account loaded in the last six months unless it shows a new need, so your sellers never chase the same door twice.
- Every rule is replayed on past months with only what was known at the time, account by account, so you see where it would disagree with your own team before it goes live.
- For Lenovo: 24 sources, 2,232 automated tests and 1,491 account cards in one month. Its team approved and loaded 188 accounts in two months.
Client work
1,491 account cards built in September’s monthly run
24 public and purchased data sources, each with its own recognizer
188 accounts Lenovo approved and loaded in August and September
Read the story
Where it fits
Manufacturing
AI for manufacturers, where the count has to be right.
Questions
Where does the data come from?
Public and purchased sources: federal portals, city bid sites, grant databases and company data feeds. Each gets its own recognizer. If a source you already pay for is not in the list, it gets one too.
How do you stop the model from making up a lead?
It cannot. A model proposes, code checks. Every stage call has to meet an evidence tier set in plain rules, and every contact has to be a real person in a buying role. Anything invented is caught before a seller sees it.
What does the sales team actually get?
One card per account, in the files your CRM already imports: the stage, the reason in one line, the signals with their sources, the people to call, and a draft email and call script for each.
How long before the first cards?
That depends on how many sources you want read. Each one needs its own recognizer and its own tests. We start with the few that carry the most signal and add from there. Lenovo’s system reads 24.
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Tell us what you’re building and what’s in the way. You’ll hear back within 24 hours.