AI Proposedlow risk1-click
Send Priya comp and remote replyLinkedIn - draftedA day on your desk, with an agent that does the busywork.
Scroll through how Klokit watches every conversation, proposes the next move, and clears your day while you stay in control.
Scroll to begin the walkthrough
Pipeline19+4 wk
Needs reply43 due
Proposals6for you
Today's priorities
NC
Nathan Coleoffer closing today
nowSL
Sofia Lindqvistonsite at 2pm
todayAI Proposedlow risk
Advance Daniel -> Interviewscreen passed - 88Reply rate, 7d28% +6pt
Chapter 01
Every conversation, watched in one place
Replies scattered across LinkedIn, email, and your CRM
Klokit unifies every candidate thread into one inbox, reads sentiment and intent, and starts a reply timer the moment someone responds.
LinkedIn and email in one inboxIntent on every replyTimers flag what is going stale
Needs reply, 4
PN
Priya NairQuestion on comp band and remote?
QuestionRG
Rachel GreenCould you share the tech stack?
QuestionIC
Ivy ChenI'd love to learn more
PositiveHi Priya, the band is $180-210k and the team is fully remote. Could Tue 3pm work?
Chapter 02
The next move, drafted before you ask
Starting every reply and follow-up from a blank page
The agent turns each signal into a proposed action with its reasoning, confidence, and risk level attached.
Drafted replies with rationaleRisk level on every proposalConfidence scoring recruiters can audit
12 proposals awaiting approval
AI Proposedlow risk
Send reply with comp bandPriya Nair, confidence 96%AI Proposedlow risk
Advance Daniel to interviewScreen passed, score 88AI Proposedmed risk
Enroll 6 ML candidatesML Outbound Q3Chapter 03
Approve once. It does the rest.
Copy-pasting the same update into five systems
One click fires the action through the right tool and logs it back to the CRM. Low-risk actions can run on guardrails you set.
Executes across your connected stackAuto-logs every actionHuman approval for sensitive steps
Reply sent to Priya Nairvia LinkedIn, logged to HubSpot
Fired across your stack
LinkedInHubSpotLemlistCalendarGmail
Chapter 04
Never write up a call again
Losing an hour a day to interview notes and follow-ups
The AI notetaker joins, transcribes, summarizes, and extracts clean action items into your approval queue.
Auto-joins candidate callsSummaries in secondsTurns talk into approved tasks
Screen with Sofia: top-choice role, comp in band, fully remote required, 4-week notice.
Action items extracted
Send onsite scheduling options
Log comp expectation
Share team one-pager
Chapter 05
Always know your number
Guessing where you stand against quota and commission
Track placements, billings, and activity KPIs against your incentive plan with a live projected payout.
Quota and KPIs vs paceProjected earningsTeam leaderboard when needed
6/9
Projected payout$23,400on pace, 92% to target
Activity vs pace
Replies86/120
Submittals41/60
Interviews28/36
The payoff
Less busywork. More placements.
Connected to your stack
The agent works inside the tools you already use
HHubSpotSSalesforceGGreenhouseLLever
AApolloLLinkedInGGitHubZZoomInfo
GGmailOOutlookLLemlistSSendGrid
ZZoomGMGoogle MeetTTeamsCCalendly
SSlackTSTwilio SMSWWhatsAppLLinkedIn
HHackerRankCCodeSignalCCheckrDDocuSign
Give your desk an agent.
Connect your tools, set the guardrails, and let the agent tee up your day.