Most deal updates now come in from chat: the team says what happened, and the AI writes the note, the stage and the next task. A person says yes before anything is saved.

Say what happened on a deal in chat, the way you would tell a colleague. The AI finds the deal, writes the note, updates the stage and sets the next task, then asks before it saves anything.

When a task list fills up with leftovers from old meetings, the AI sorts them from the live work and clears the leftovers on one yes. Nothing in the CRM changes without a person’s yes.

Nobody at HKR has to go looking for stuck deals. Every weekday morning, the AI flags each open deal that went quiet, passed its close date or has no notes, and a person decides what happens to it.

Every weekday morning, the AI goes through each open deal. It flags a deal with no activity for 14 days, a deal past its close date and a deal with no notes, and suggests a next step for each one in the team’s chat.

The flag comes back every 7 days until someone acts; one deal in our own pipeline was flagged about ten times. The AI changes nothing in the CRM on its own, and a person decides what happens to each deal.

Nobody at HKR has to re-read a deal’s whole email thread before a buyer call. On request, the AI reads the emails and notes and returns a brief, the open questions and the terms to quote, and the rep runs the call.

Before a buyer call, the rep asks the AI to read the deal. It reads the email thread and the deal notes, then gives back a short brief, the questions still open and the contract terms to quote. The rep runs the call.

The rep can also ask whether a deal can convert. The AI reads the same emails and notes and says whether it can, and why, so the rep sees the reasoning and can overrule it.

Nobody at HKR has to hunt for prospects or watch clients’ careers pages. The AI brings new prospects each weekday and flags the roles our clients open that we could fill, and people decide whom to approach.

Each weekday, our sales lead gets new prospects: why each one fits, where the AI found it and the next step. A name comes back only when something about it has changed.

The AI also watches each client’s job boards and careers page. When a client opens a role we could fill, our account lead hears about it. People decide whom to approach.

Nobody at HKR has to build a prospect list by hand. Name a client you want more of, the AI returns similar companies in tiers, and the rep picks whom to contact.

Name a client you want more of. The AI finds similar companies, sorts them into tiers and names the person most likely to decide at each one.

For each email address, it says how sure it is. The rep picks whom to contact.

Nobody at HKR has to look a company up by hand before writing to it. Paste a name, the AI says what the company sells, to whom and how big it is, and the rep decides if it fits.

Paste a company name in chat, and the AI says what the company sells, to whom and how big it is.

For a Romanian company, it reads the accounts the company filed: revenue, headcount, profit and sector. The rep decides whether the company fits.

Nobody at HKR has to start a first email, a partner chase or the rep’s weekly report from a blank page. The AI drafts each one, and a person edits and sends every one.

The AI writes first messages to new prospects in the rep’s own voice, and on Friday it drafts the rep’s weekly report. Every Wednesday, it lists each partner ask that has waited two weeks, names who owes the next move and drafts the chase.

Emails wait as drafts. The AI never sends a message, and a person edits and sends every one.