AI Workforce / Sales & Growth
AI sales agents that book meetings — not busy outbound.
Karmaflow's AI sales agents prospect, qualify, follow up, and book — across email, voice, SMS, and chat — speaking in your voice and inside your governance rules. Pipeline created is the metric your board cares about. Activity is the cost it is hiding.
Sends the email
- Burns the domain on a templated mail-merge.
- Reports opens and replies as if they were pipeline.
- Hands a cold list to your AEs to chase manually.
Books the meeting
- Picks accounts off live buyer signals, not a static list.
- Replies in conversation, qualifies, and writes back to your CRM.
- Drops the meeting on the right rep's calendar — confirmed.
The economics
Price what you book, not what you blast.
Move the sliders to your numbers. Cost per booked meeting is the unit economics any CRO can defend in a board meeting; emails sent and dials placed are not.
Assumptions: agent cost per booked meeting is held at $18 across volume tiers; legacy SDR throughput modeled at twenty-two held meetings per month. Your actual number depends on ICP density, channel mix, and qualification depth. See full pricing, or request the live calculator in our first call.
Anatomy of a booked meeting
One account, signal to calendar, with the receipts.
A real outbound thread. The agent saw a hiring signal, opened the conversation in the buyer's voice, handled the objection, and dropped a meeting on the right AE's calendar. Here is what the prospect saw — alongside the exact tool calls in your CRM and calendar.
Detected the new RevOps job posting and matched it against the ICP playbook.
signals.watch(account="ACME", source="careers")
→ { event: "ROLE_OPEN", title: "Director, RevOps" }Pulled funding stage and stack from CRM and external enrichers, then chose the buyer.
crm.enrich(account="ACME-44910")
→ { stage: "Series B", icp_score: 0.91 }
router.choose_persona() → "VP Sales"Drafted the opener in your brand voice and clamped the message to the brand guard.
compose.email(persona, signal, voice="karmaflow")
guard.brand_voice_score >= 0.96 → SENDPulled live availability for the right AE and confirmed with both attendees.
calendar.find_slot(rep="priya", attendee="cto@acme")
→ "Thu 10:00"
calendar.book(slot, attendees=[...]) → "EVT-7782"What it runs in your motion
By workflow, not by logo soup.
CRM and dialer logos only matter once you can name the work they do. Here are the sales motions Karmaflow agents run today and the tools they act in for each — the full integration catalog is on the platform page.
Governance
Your playbook. Compiled, audited, enforced.
Your sales leaders write the playbook in plain English. We compile it into the runtime constraints the AI agent honors at each tool call — see how enterprise security wraps the same controls across the platform.
Playbook · outreach.md
Only contact accounts inside the ICP score band (>= 0.7) and never if a deal closed-lost in the last 90 days for "no budget". Discount up to 10% may be offered without approval; 10–25% requires AE sign-off in the same thread; above 25%, finance reviews. Brand-voice score must be >= 0.96 before any outbound message is sent.
Compiled constraints (runtime)
- guard
icp.score >= 0.7 AND closed_lost_90d.reason != "budget"→ send - route
10% < discount <= 25%→ ae-approval with prefilled justification - route
discount > 25%→ finance-approval - auditevery send signed with the playbook version that authorized it
When it hands off
The handoff your AEs actually want.
A handoff is not a transfer — it is a packet. Here is what the AE sees the moment a deal arrives in their queue.
- Summary
- Acme Industries, Series B fintech, asked for a custom MSA and a discount above the agent's band. Strong fit on volume and use case; champion is the VP RevOps.
- Recommended action
- Run the discovery on integration depth before the next call; legal already flagged two MSA clauses worth pre-reading.
- Why escalated
- Discount request crossed the agent's ceiling; legal redline detected on liability cap.
- Account
- Acme Industries · Series B · 240 employees · ICP score 0.91
- Buyer warmth trajectory
- Attached
- Full thread · MSA redline diff · prior champion at last role · two reference customers in same segment
Quality & trust
Claims with the method attached.
Three measured outcomes from in-production deployments. Each comes with its measurement protocol so you can judge the result, not just read it.
Speed-to-lead, end to end
From inbound form fill to a connected, qualifying conversation — twelve seconds median, twenty-four hours a day. The lead never goes cold and never hits a voicemail tree.
Method: timestamp delta from form submission to first connected call or chat across deployed accounts; weighted across business hours and after-hours.
Meeting conversion vs. legacy SDR
Personalized outbound, opened in your voice, sent at the moment a buyer signal fires. The agent is not faster spam — it is a better first message at a higher hit rate.
Method: held meetings per 100 contacted accounts, agent vs. matched human SDR cohort, same ICP, same week, same offer.
Tool calls audited
Every email sent, every dial placed, every CRM write is logged with arguments, the policy clause it satisfied, and the rule version that authorized it. Replayable. Reversible.
Method: signed audit log; tamper-evident store; exportable to your SIEM and your CRM activity feed.
“Pipeline velocity doubled in thirty days. The agent handles the first three touches better than any SDR I've hired.”Sean Cochrane · President, TCC Canada
First week
What deployment actually looks like.
Days, not months. Connect and compile the playbook in the first 48 hours — the rest is your testing window. Most of the timeline is the agent drafting on live pipeline while your reps still send, so every disagreement becomes a policy gap caught before go-live.
Day 1
Connect
Read-only integration with your CRM, calendar, and inbox. Voice and brand profile captured the same day. No agent actions yet.
Day 2
Capture playbook
Your sales leads write the qualification rubric, objection handling, and discount limits in plain English. We compile them into runtime constraints overnight.
Days 3–5
Shadow mode (testing)
This is most of the timeline — and it is yours. The agent drafts every outbound and every inbound reply on live pipeline. Your reps send. Every disagreement is a policy gap caught before anything ships in your name.
Day 6
Go live
Auto-send the motions you signed off on in shadow. Everything outside the sandbox transfers to a human AE with full context.
Frequently asked
Questions sales leaders ask before deploying.
Plain answers on category, governance, integrations, and unit economics. If your team has a question that is not here, bring it to the walkthrough below.
What is an AI sales agent?
How is this different from an AI SDR or AI BDR?
Will the outreach sound like spam?
Which CRMs, dialers, and sales tools does it integrate with?
How is every action audited and reversible?
What does it cost per booked meeting?
How long does deployment take?
What happens when the agent reaches its limit?
Talk to us
Bring us your hardest motion.
Pick the segment your team has tried twice and bounced off — we'll show you exactly what the agent would do on it: tools called, playbook applied, message drafted in your voice, before any contract conversation.