Customer Onboarding Workflows
AI agents guide new users through setup steps, send drip sequences based on progress, and flag accounts that stall. Onboarding completes faster with fewer support requests along the way.
Stop burning engineering hours on support triage and manual onboarding. AI agents automate customer onboarding, support ticket routing, churn prevention, and internal ops – so your team stays focused on shipping product.
Start Free — No Credit CardSupport tickets pile up while engineers context-switch between bug fixes and customer issues. New users drop off during onboarding because nobody follows up. Churn signals go unnoticed until it’s too late. Internal ops – release comms, incident triage, Slack workflows – eat into the time your team should spend building product. Every 1% increase in churn compounds — at 5% monthly, you’re replacing half your customer base every decade.
Every support ticket is triaged and routed instantly. New users get guided onboarding sequences without manual intervention. Churn risk is flagged before customers leave. Release notes go out automatically. Your engineers ship features, not fight fires.
Every repetitive workflow across support, onboarding, and ops – automated and running around the clock.
AI agents guide new users through setup steps, send drip sequences based on progress, and flag accounts that stall. Onboarding completes faster with fewer support requests along the way.
Incoming tickets are categorised by urgency and topic, routed to the right team, and common questions answered automatically. Works with Gorgias and other helpdesk tools to keep response times low.
Agents monitor usage patterns, login frequency, and support sentiment to identify at-risk accounts. Automated outreach triggers before customers decide to leave – turning churn signals into retention conversations.
Ship a new feature and the agent drafts release notes, posts them to your changelog, notifies relevant customer segments via email, and updates in-app messaging – all without a PM writing a single word.
Slack workflows, incident summaries, on-call rotations, and cross-team notifications – handled by agents. Reduce the operational toil that slows down every growing SaaS team.
Agents triage GitHub issues, label and prioritise bug reports, link related PRs, and surface code-level context. Engineering teams spend less time organising work and more time writing code.
No infrastructure changes. No vendor lock-in. Just connect your tools and define the rules.
Connect GitHub, Slack, Gmail, and your helpdesk. The agent sees issues, conversations, and user data across your entire stack. Credentials are encrypted and stored securely in your isolated environment.
Describe your ops in plain English – “triage support tickets by severity, trigger an onboarding drip when a user completes setup step 2, flag accounts with no login in 14 days, post release notes to Slack on every deploy.”
Support tickets get triaged before your team sees them, new users receive the right onboarding email at the right time, and at-risk accounts surface automatically. You ship product – agents run the ops around it.
Built for the modern SaaS stack – Sprigr Team connects to GitHub, Slack, Gmail, Gorgias, webhooks, code execution environments, and MCP servers so agents work where your team already works.
AI agents handle the repetitive operational work that pulls SaaS teams away from building product. They triage and respond to support tickets, guide new customers through onboarding, monitor churn risk, distribute release notes, and automate internal workflows across Slack, GitHub, and email. Think of it as adding headcount to support and ops without adding headcount.
Agents track each customer’s progress through your onboarding steps and send targeted messages based on where they are. If a user stalls at a particular step, the agent sends a nudge or helpful resource. If they complete setup, the agent transitions them to the next phase. The result is higher activation rates without manual CSM effort.
When a ticket comes in – whether through Gorgias, email, or a web form – the AI agent reads the content, categorises it by topic and urgency, and routes it to the right team. Common questions are answered automatically with approved responses. Urgent issues are escalated immediately. Your support team focuses on the tickets that actually need a human.
MCP (Model Context Protocol) is an open standard that lets AI agents connect to external tools and data sources. Sprigr Team includes a built-in MCP server, so agents can access your internal APIs, databases, and services securely. This means agents can pull real-time data from your product, execute code, and interact with any system that exposes an MCP-compatible interface.
No. Most SaaS teams are up and running in under an hour. Connect your existing tools (GitHub, Slack, helpdesk), define rules in plain English, and agents start working. No infrastructure changes, no vendor lock-in, and no coding required to get started.
You could build it. But every sprint spent on internal tooling is a sprint not spent on your product. Sprigr is ready now, integrates with your stack via MCP and webhooks, and costs less than a week of engineering time.
AI agents built for SaaS companies. Up and running in under an hour.
Start Free — No Credit Card