Your GTM runs on five systems. Nobody runs the work between them.
For Series A–C SaaS teams: we build and run the closed-loop system between them. AI agents do the legwork, so buying signals get an owner, handoffs carry the call notes, and your CRM learns why you win.
30 minutes. You get a one-page write-up on where your pipeline leaks, whether we work together or not.
CRM
no owner · 6 days
Sales engagement
Call recorder
Billing
Support
Swipe for all five systems →
A signal fires and nobody works it. A deal closes and CS gets a Slack thread.
Most Series A–C teams already have the go-to-market (GTM) systems. Nobody owns the work between them, and that’s where pipeline you already earned goes missing.
- Pied Piper new VP · pricing ×2owner none
6 days, nobody
Signals sit unworked
A new VP of Sales, two pricing-page visits, a ticket about seats. Three systems saw it. Nobody acted that week.
- Hooli handed to CSnotes none
kickoff from a Slack thread
Handoffs drop the context
The AE re-asks what the SDR learned, and the call notes never reach the CRM.
- Initech closed-lostreason other??
and plenty more like it
The CRM never learns
Lost reasons say "other," and scoring runs on rules written two years ago, not on the deals you won.
Another tool won’t fix it, and neither will AI on its own. Each tool stops at its own edge. We close the loop between them, on your data.
Finding the account is step one. Closing the loop is where it pays off.
Once the foundation is solid, AI agents work every step. Your team approves what they write until it’s proven, and every result feeds back into step one.
Signals in
Score and route
Work the handoffs
Outcome captured
Re-weight
most tools stop here
- new VP Sales + pricing ×2
- fits won deals
- call notes in CRM
- reason: speed to CS
- new-VP signal weighted up
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Signals in
Funding, hiring and leadership changes, plus your own product, web and support signals.
AI agentWatches your CRM, product, web and support data, and flags what changed.
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Score and route
Each account goes to the right rep in your CRM, with an owner and a reason.
AI agentScores each account against deals you've won, and writes the reason in plain English.
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Work the handoffs
The AE gets what the SDR learned. CS gets the whole story at kickoff.
AI agentReads the call, fills the CRM fields and drafts the handoff note.
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Outcome captured
Won, stalled or lost, and why. Every time, not when someone remembers.
AI agentPulls the real loss reason from calls and emails, so “other” stops being an answer.
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Re-weight
The system gets sharper on your own deals, not on a database everyone buys.
AI agentProposes new weights from what converted. A person signs off.
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Signals in
Funding, hiring and leadership changes, plus your own product, web and support signals.
AI agentWatches your CRM, product, web and support data, and flags what changed.
-
Score and route
Each account goes to the right rep in your CRM, with an owner and a reason.
AI agentScores each account against deals you've won, and writes the reason in plain English.
-
most tools stop before this
Work the handoffs
The AE gets what the SDR learned. CS gets the whole story at kickoff.
AI agentReads the call, fills the CRM fields and drafts the handoff note.
-
Outcome captured
Won, stalled or lost, and why. Every time, not when someone remembers.
AI agentPulls the real loss reason from calls and emails, so “other” stops being an answer.
-
Re-weight
The system gets sharper on your own deals, not on a database everyone buys.
AI agentProposes new weights from what converted. A person signs off.
AI is only as good as what it’s built on.
Most AI projects in sales fail on messy data and fuzzy process, not on the model. So we build the system in order.
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First The foundation
Clean data on the fields that matter, clear stages, and handoff rules your team agrees on. AI on a messy CRM just makes mistakes faster.
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Then The agents
They read calls, emails and tickets, fill CRM fields, score accounts, draft handoffs and sort lost reasons, across all five systems.
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Throughout Your team decides
Everything an agent writes waits for a person's approval in Slack until it's proven accurate. Autonomy comes one workflow at a time, and you can take it back.
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From day one The proof
Tested on your past calls and deals before launch. Every value logged with its source. Accuracy and results reported against your baseline.
the model is the easiest part to change.
Outbound agencies rent you pipeline. We build the system that keeps it.
Agencies stop at the booked meeting. Point tools cover one system. The AI features in your CRM only see your CRM. None of them own what happens when a deal crosses from one system to the next.
| Compared on | Typical agency or tool | KairosOps |
|---|---|---|
| Starts with | A list and a sequence | Your closed-won history and the signals you already own |
| Stops at | The booked meeting | The outcome, which then feeds the next cycle |
| After launch | A playbook and a goodbye | We run and tune it. Take it in-house whenever you want. |
- Starts with
- Your closed-won history and the signals you already own
- Typical: A list and a sequence
- Stops at
- The outcome, which then feeds the next cycle
- Typical: The booked meeting
- After launch
- We run and tune it. Take it in-house whenever you want.
- Typical: A playbook and a goodbye
Built by operators who carried a quota first.
We’ve rebuilt outbound, the CRM and the handoffs as in-house RevOps teams at SaaS companies from Series A to publicly traded, after more than eight years in sales.
That’s why our systems get used: we know which fields reps actually fill in, and which ones they skip. You work directly with the team that builds your system, not an account manager.
Prove it small, build the loop, then keep it running.
Fixed fees to build it, a monthly fee to run it. You pay data vendors directly; we add no markup.
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Signal sourcing pilot
Accounts showing buying signals, scored on the deals you've already won and routed to an owner.
- Baseline captured before launch
- Signals scored against your closed-won history
- Routed into your CRM with an owner and a reason
CRM not ready? It becomes a data health sprint.
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Closed-loop GTM system
Signals, handoffs and outcomes connected across your CRM, sales engagement, call recorder, billing and support.
- Diagnostic: where deals leak, and how healthy your CRM data is
- Cleanup limited to the fields the system relies on
- Call notes in the CRM, clean handoffs from SDR to AE to CS, every outcome recorded
- Nothing acts on its own until a person has approved it and it's proven accurate
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Run and tune
We keep it accurate as your team and process change, and show you what moved each month.
- Monthly report against your baseline
- Tuning as your team, territories and sales process change
- A new workflow added each quarter
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Take it in-house
Your team takes the system over, fully documented.
- Full documentation and a recorded walkthrough
- Handover period with your new RevOps hire
- Optional lighter support afterwards
We’re measured on what the system does (signals routed, fields complete, handoffs on time), not on meetings or revenue. If a pilot doesn’t move your baseline, you’ll know, and you’re not committed to anything else.
What teams ask before they start.
More questions, answeredIs this AI, or automation?
Both, each where it fits. Plain integrations move data reliably. AI agents handle the judgment calls: reading calls, scoring accounts, writing handoff notes, working out why deals were lost. A person checks what the AI writes until it's proven.
Can't we just add AI to what we already have?
You can, and that's where most AI projects stall. If your fields, stages and handoffs aren't reliable, the AI learns the wrong lessons and writes them back faster. We fix the foundation first, scoped to what the system needs, then add agents.
Our CRM data is a mess. Can we still start?
That's the most common starting point, and it's why a pilot can begin as a CRM data health sprint. Nothing else works until that's fixed, so we fix it first.
We're about to hire a RevOps lead. Why not wait?
Then they start with a working system instead of a cleanup project. Everything is documented, and we can hand it over whenever you want.
Built for teams that have the systems and no one owning the gaps.
Good fit
- You're a B2B SaaS company with a sales team past the founder
- Your GTM team is big enough to have handoffs, and too small to have a RevOps department
- You run HubSpot or Salesforce, plus tools like sales engagement, a call recorder, billing or support
- You have someone who owns pipeline and reads the numbers
- You want results measured, not promised
Not a fit yet
- You're pre-revenue or don't have a sales team yet
- You want AI bolted on without fixing the basics
- You want outsourced SDRs or more email volume
- You want guaranteed meeting or revenue numbers
- You'd need board approval for an $8K pilot
Every signal, at the right moment.
In 30 minutes we trace one of your recent deals across your systems. You get a one-page write-up on where it leaked and what we’d fix first, whether we work together or not.
Get a pipeline teardown