Support triage, onboarding, billing recovery, usage alerting and churn signals — built as monitored workflows and AI agents inside your own stack. Your engineers keep shipping product.
It is made of Slack threads, spreadsheets, half-finished internal tools and one person who knows how the refund process works.
It starts small. Someone checks failed payments each morning. Someone else copies new signups into a spreadsheet to see which ones activated. Support triages a queue by reading every ticket. A customer success manager keeps a private list of accounts that look wobbly. None of it is on the roadmap, all of it is load-bearing, and it scales linearly with customers — which is the one thing software is supposed to avoid.
This service is the systematic version of that work. We map the operational surface of your business, decide what should be a deterministic workflow, what genuinely needs a model, and what should stay human — then build it as monitored, versioned automation running in your own cloud accounts next to your product.
Two categories, usually built in this order. Internal ops first, because the risk is contained and the payback is immediate: alerting, data sync, reporting, provisioning, reconciliation. Customer-facing agents second, because anything a customer talks to needs the retrieval, the guardrails and the escalation paths to be right before it goes live.
An agent reads every inbound ticket, classifies it by area and severity, attaches the account context a human would have gone looking for, and routes it. Where the answer already exists in your documentation, changelog or a past resolved ticket, it answers directly with a citation. Where it does not, the ticket reaches the right engineer already tagged and enriched.
Activation is a sequence of milestones, and most teams only measure the last one. We instrument the steps that actually predict retention for your product, then automate the nudges, the provisioning and the internal handoffs around them. An account that stalls before its first integration gets a different intervention than one that never invited a teammate.
Failed payments are the quietest form of churn. A card expires, the retry fails, an email lands in a spam folder, and an otherwise happy customer disappears. We build the dunning ladder properly on Stripe webhooks — retry timing, escalating messaging, in-app banners, grace periods and entitlement changes that match your commercial policy rather than the default.
Usage data usually exists and is usually unread. We turn it into signals that reach a person while there is still time to act: seats going unused before a renewal, an account whose weekly active count halved, a customer approaching a plan limit, an enterprise trial that has gone quiet. Each signal carries the account, the evidence and the suggested next step.
The unglamorous layer: scheduled data syncs, report generation, environment provisioning, compliance evidence collection, cross-tool notifications. Where agents need to take actions in your systems, we expose those systems through Model Context Protocol servers with scoped credentials, so an agent's capabilities are defined by the tools it is given rather than by hope.
An agent is only as good as the systems it plugs into. When your stack can't support the automation, we build the stack.
SaaS operations break in places a generic automation shop rarely looks. Onboarding that has to work without a call. Billing edge cases that only surface at renewal. A support queue where the tenth similar ticket costs exactly as much as the first. We scope automation against those realities, and we are deliberately conservative about what runs unattended: anything touching billing, permissions or customer data gets an approval step or a deterministic fallback rather than a hopeful prompt.
The same is true of the engineering side. Plenty of SaaS operational problems are not automation problems at all — they are missing product surface. When the answer is an admin tool, a webhook receiver, a proper events table or an in-app assistant, our software team builds it in your codebase. We integrate what already exists, and build what doesn't.
Nothing here is a project. It is a circuit your customers ride around, over and over, for as long as they stay.
We sit with support, success and ops and list every recurring task, who does it, how often, and what breaks when they are away. The output is a ranked roadmap by payback and risk, and it is yours to keep.
30-min call · roadmap deliveredDeterministic workflows go first — sync, alerting, reconciliation, provisioning. Model-driven agents come after, with retrieval grounded in your real documentation and escalation paths tested before launch.
Typically 3–6 weeksEvery workflow reports success rate, latency and cost. We review deflection quality and false escalations, tune the logic, and document everything so your team can take the whole thing over whenever it wants to.
Ongoing partnershipBecause internal ops work never wins a roadmap argument against customer-facing features, and it never will. Your engineers keep shipping product while we build the operational layer around it. Everything we write lands in your repositories and your infrastructure, reviewed by your team, so it is not a parallel system nobody understands.
In your cloud accounts, under your credentials, on your infrastructure. Workflows run on a self-hosted n8n instance or as services in AWS or Google Cloud alongside your existing stack. Source, configuration and runbooks are handed over in full. You own every account, every workflow, every line of code and every byte of your data.
Only with boundaries that are enforced outside the model. Agents get scoped credentials, read-only access wherever reads are enough, and tool definitions that limit what an action can do rather than trusting the model to behave. Writes that affect money, entitlements or customer records run through explicit approval or an idempotent, reversible job.
By answering only what the agent can answer from your real documentation, and routing the rest immediately. Deflection built on retrieval over your own docs, changelog and past resolved tickets gives specific answers with links. Anything uncertain, angry or account-specific goes to a human on the first message, not the fourth.
Both, depending on where the work belongs. Support triage, billing recovery and internal alerting usually sit around the product as workflows and services. In-app assistants, onboarding checklists and usage-driven prompts belong inside it, and our software team ships those in your codebase with your review process.
By blast radius. Reversible, low-stakes work — drafting replies, tagging tickets, syncing records, sending reminders — runs unattended. Anything that touches billing, permissions, customer data or an irreversible action gets a human approval step or a deterministic fallback. We would rather automate less and have you trust every run than automate everything and have you checking it.
Bring one recurring operational chore to a 30-minute call. We will tell you honestly whether it should be a workflow, an agent, a product change, or left alone — and give you the ranked roadmap for the rest.
Roadmap delivered · whether or not you build with us