A workforce of AI agents and a predictive signal engine, working as one. The agents run research, drafts, monitoring, and forecasting around the clock. Your CSMs do the work humans are best at: building relationships, winning trust, and driving expansion.
Customer Success teams managing $10M+ ARR
Specialized AI agents, each trained on a specific CS discipline. They run continuously, coordinate through a shared signal layer, and hand off to humans when it matters.
Continuously researches every account — recent funding, leadership changes, product news, hiring patterns, public sentiment — and surfaces context the moment a CSM opens an account.
For every account, NBA predicts the single highest-ROI move available right now and ranks alternatives by expected impact. Proposes plays; CSMs approve the ones worth running.
Monitors every signal across every account, 24/7. Detects churn risk early, diagnoses root cause (product, sentiment, relationship, or organizational), and escalates with a full picture, not just a number.
Runs NPS at user and account level continuously throughout the customer lifecycle. Analyzes open-ended feedback. Pipes sentiment directly into every other agent. Drafts closed loop communications.
Scans every account for expansion signals: seat saturation, new admins, API growth, sustained promoter NPS. Quantifies the opportunity in ARR. Proposes the move; your CSM engages and closes it.
Writes the email, the QBR deck outline, the executive briefing, the renewal pitch; all grounded in account context, recent activity, and your team's voice. CSMs edit and send. No more blank pages.
Your agents run continuously in the background. When something specific comes up about an account, a customer segment, your whole book of business — ask in plain language. The same workforce that built the brief is the one that answers the question. And if you want them to do something, just say so.
Agents don't act on hunches. Every move is informed by a live predictive engine: correlating signals across your customer base, learning which combinations matter, and forecasting where each account is heading.
Most agent platforms ship the same brain to every customer. CustomerSignal tunes to your product, your customers, your expansion patterns. Every signal it processes, every play that lands, every survey response, the system gets sharper at predicting what happens next in your business.
Generic SaaS leading indicators on day one. Within ninety days, the model knows which behaviors actually predict retention, expansion, and churn — for the product you ship, not the textbook one.
Outreach that closes gets reinforced. Plays that don't move the needle, get pruned. The agents learn your team's voice, your customers' triggers, and what "good" actually looks like in your business.
Generic ICPs on day one. By month three, the system has surfaced the personas in your data that expand, churn, and refer — including the ones your team didn't know existed.
Five customers in, the model sees patterns. Fifty customers in, it sees patterns you didn't know existed.
"After a decade building tools for Customer Success and CX teams, I watched the same pattern in every company: brilliant CSMs hired for their relationship instincts, then buried under research, drafting, data hygiene, and reactive triage. Little time was left for the most important part: building the relationship and actively growing accounts."
The work that fills CSM calendars isn't relationship work. It's preparation, paperwork, and pattern-matching. The kind of work agents do faster, more consistently, and at a scale a human team simply cannot match.
Give that work to agents.
Give the humans back what they should be focused on: growth.
Each one is necessary. None of them exists in one place today. That's the gap CustomerSignal fills.
Product data tells you what customers did. NPS and qualitative feedback tell you how they felt. Neither alone predicts outcomes — together they do, with unprecedented accuracy. This fusion is the core of the engine.
No more "day 7 email, day 21 check-in." Onboarding, education, and drip content fire when the customer's data says they're ready — not when the calendar says to send it. Your content library becomes a library of responses.
Six specialized agents handle the work CSMs were never meant to spend their days on — research, drafting, monitoring, scoring, surveying. They run continuously, hand off cleanly, and free your humans to do what no agent ever will.
Don't hire CSMs because they're great with people and then watch them spend most of their week on work that has nothing to do with people. Those days are over.
CustomerSignal is a different kind of Customer Success platform. Agents take the prep, the research, the drafting, the monitoring. Your CSMs get back to relationships, expansion conversations, and the strategic work that actually moves NRR.
The Customer Success Operating System today. The operating system for every customer-facing team tomorrow.
CustomerSignal starts with CS, because that's where the revenue math is most urgent. But the same agent workforce, with signals fused with feedback and action grounded in intelligence, extends naturally to Marketing, Product, and Support. One operating layer for the entire customer-facing organization.
Early access opens soon. Waitlist companies get a first look at the Customer Success Operating System, founding-customer pricing, and a direct line to the product team.
No spam. No sharing. Just product updates and early access.