Support triage, onboarding, trial-to-paid, dunning, usage alerting and the internal plumbing nobody has sprint capacity for. We build it in your repos, your cloud, your standards. And when the answer is a real product feature rather than a workflow, we build that too.
Every SaaS team knows exactly what should be automated. The onboarding emails that are still triggered by hand. The churn report someone rebuilds every Monday. The failed-payment list a person works through in a spreadsheet. None of it ships, because it competes with customer-facing roadmap work and loses every planning cycle. So it stays manual, and the cost compounds quietly as headcount grows around it.
A large share of tickets are the same documented questions. Your engineers get pulled into escalations that were never engineering problems, and response times slip exactly as your logo count starts to matter.
Most trials never reach the moment the product becomes obviously useful. Nobody notices in time, because the signal — a specific action not taken by day three — is sitting unqueried in your database.
Expired cards, insufficient funds, hard declines. Involuntary churn is entirely recoverable with structured retries and communication, and is usually handled by whoever remembers to check the dashboard.
A key account dropping API calls, an org approaching a plan limit, a workspace where the champion stopped logging in. Every one of those is an expansion or a save, and every one is invisible without alerting.
Occasionally the honest answer is that the product needs a new service, a proper data model, or a rebuilt integration layer. An automation vendor cannot tell you that. An engineering team can.
Agents that retrieve over your real documentation, changelog and resolved tickets — not the model’s memory — so answers cite a source and an uncertain agent escalates instead of inventing. Incoming tickets get classified, prioritized by plan and severity, routed to the right queue, and drafted with a proposed reply your team can approve in a click.
Onboarding driven by what a user actually did, not by how many days have passed. We instrument the activation milestones that predict retention for your product, then trigger the right nudge, the right doc, or the right human outreach when someone stalls before reaching one. Enterprise accounts get an internal alert instead of an email.
Trials get scored on real usage rather than firmographics, so sales spends its time on accounts that are already getting value. High-intent trials route to a person; self-serve trials get a conversion sequence timed to their behavior. The same signals drive expansion — seat growth, plan limits approached, new teams inside an existing account.
Failed payments handled as a structured recovery process instead of a dashboard someone checks. Retries scheduled on sensible logic, card-expiry warnings sent before the charge fails, escalating in-app and email notices, and graceful downgrade rules so an account is never silently destroyed. This is typically the fastest payback of anything on this page.
The plumbing that never reaches a sprint: data syncs between product database, CRM, billing and warehouse; automated reporting that replaces the Monday spreadsheet; anomaly alerts on usage, error rates and cost; and approval workflows for the actions an agent should never take alone. Built with monitoring and error handling, because unattended automation that fails silently is worse than none.
An agent is only as good as the systems it plugs into. When your stack can’t support the automation, we build the stack.
Backend services, data models, integration layers, customer-facing web and mobile apps, and AI features inside your own product. We work in your repositories, your CI and your cloud accounts, to your review standards.
Our engineers have delivered production work on a European property-data platform, handling high-volume records and third-party sources. We are not an automation shop borrowing engineering language — we write and maintain production software.
Instant AI response is worth nothing without inbound volume. We generate the demand your agents convert — and trained people handle the exceptions, escalations and judgment calls as part of the same system.
We integrate what already exists — and build what doesn’t.
Patterns from real engagements. No invented numbers — the specifics come in the audit.
The pattern in a growing B2B SaaS team: repeat documented questions get resolved or drafted automatically, and escalations that reach engineering are genuinely engineering problems. Interrupt load drops before ticket volume does.
Structured dunning turns involuntary churn from a background loss into a measured, worked process. This is usually the first workflow to pay for the engagement.
Activation and usage alerting moves the conversation from post-mortem to intervention. Customer success finds out on day three rather than at renewal.
The backlog of automation tickets that never beat roadmap work gets built by a team whose only job is to build it — in your repos, documented, and owned entirely by you.
Because your engineers are the most expensive way to build internal plumbing, and internal plumbing always loses the prioritization argument to the roadmap. Support triage, onboarding sequences, dunning and usage alerting are the tickets that never reach the top of the sprint. We build them alongside your team, in your repos and your accounts, and hand them over documented.
It will if you let it answer from the model's memory. We build support agents on retrieval over your actual documentation, changelog and past resolved tickets, with citations back to the source, and with a hard rule that an uncertain agent hands off rather than guesses. Deflection is measured against resolution and reopen rates, not just closed tickets, so a confidently wrong answer shows up as a failure.
Yes. We are a software engineering team first, so we work in your repositories, your CI, your cloud accounts and your review process rather than delivering a black box. Everything is built to your standards, with tests and documentation, and you own every line of it. Senior hands only — the people on the audit call are the people who build.
With least privilege and no shortcuts. Integrations use scoped OAuth credentials or service accounts limited to what the workflow needs, secrets live in your secret manager rather than in an automation tool, and every agent action against a customer record is logged and reversible. Where an agent can take a destructive action, it is gated behind a human approval step.
We build software. Our engineers have delivered production work on a European property-data platform, working with high-volume data and third-party sources. That is why we can tell you honestly when a problem needs a custom service rather than another automation, and then build it. We integrate what already exists — and build what doesn't.
Usually support triage and dunning. Triage because a large share of tickets are repeat questions with documented answers, so routing and deflection free your team immediately. Dunning because failed payments are revenue you already earned, and a structured retry and recovery sequence pays for itself faster than almost anything else you could build.
Thirty minutes with senior engineers, not account managers. We look at your support load, activation funnel, billing recovery and internal ops, then hand you a prioritized roadmap.
Roadmap delivered · whether or not you build with us