Learn · Automation & Integration
Stop doing what software
should do for you.
Integration connects your systems so they share data automatically. Automation runs the repetitive, rule-based steps across them — “when X happens, do Y” — with no one clicking a button. Together: one connected operation where data flows, handoffs happen on their own, and nothing falls through the gaps.
Automation vs Agentic AI
Rules for the plumbing. AI for the judgment.
Automation follows fixed rules you define — reliable, predictable, deterministic; best for repeatable, well-understood steps. Agentic AI reasons and decides when the path isn't fixed. The best systems combine them — and automation is usually the fastest, lowest-risk first win.
The platform
Why we build on n8n.
Simple connectors (Zapier), visual integrators (Make), and developer-grade platforms — n8n gives the best of all three. The tool is always selected last, against the problem and the value; n8n is usually the right answer, not always.
Powerful & flexible
Complex, multi-step, branching workflows — not just simple if-this-then-that.
Open-source & self-hostable
Your workflows and data can live in your environment — security, compliance, data residency.
Cost-effective at scale
No per-task pricing that punishes growth — predictable cost as volume rises.
AI-native
First-class nodes for LLMs, RAG and agents, so automation and AI live in one system.
400+ integrations
Connects to the tools you already run.
By department
Three use cases each — and where AI plugs in.
Automation handles the connected, rule-based flow. The italic line shows where Generative, RAG or Agentic AI adds judgment on top. The same patterns repeat in Procurement, IT and Legal.
Marketing
- Lead capture → CRM → nurture: a new form/ad lead is enriched, scored, added to the CRM and entered into the right nurture sequence — no manual entry, no cold leads. AI: RAG scores the lead and personalises the nurture copy to their sector and pain.
- Unified reporting: spend and results pulled nightly from Google, Meta, LinkedIn and GA4 into one live dashboard. AI: generative writes the plain-English “what changed and why” summary on top of the numbers.
- Content distribution: one approved asset auto-published and scheduled across social, blog and newsletter. AI: generative drafts the channel-specific variants before scheduling.
Sales
- Lead routing & SLA: inbound leads auto-assigned by territory/value with reminders that escalate if not actioned. AI: an agent enriches and qualifies the lead first, so the right rep gets a briefed lead.
- CRM hygiene: meetings, emails and call notes logged automatically; stale deals flagged. AI: generative writes the call summary; RAG answers “what's our price for X?” in-thread.
- Quote-to-cash: a won deal triggers the order, invoice and onboarding kickoff in one flow. AI: generative drafts the proposal and onboarding email tailored to the deal.
Customer Service
- Ticket triage & routing: tickets auto-categorised, prioritised and routed, with duplicates merged. AI: RAG suggests the sourced answer; an agent resolves simple tickets end-to-end.
- Order/refund status sync: support, payments and shipping kept in lockstep so everyone sees the truth. AI: an agent processes the refund within policy and replies.
- Feedback loop: post-resolution surveys sent automatically; low scores escalate instantly. AI: generative drafts the tailored recovery message on a low score.
Operations
- System-to-system sync: orders, inventory, fulfilment and finance kept consistent in real time. AI: an agent reconciles the mismatches that need judgment, not just rules.
- Exception alerts: automatic flags when something is out of range (low stock, failed job, SLA breach). AI: generative explains the exception and suggests the fix inside the alert.
- Document & data routing: files, approvals and records moved to the right place and people automatically. AI: RAG classifies the document and extracts the key fields before routing.
Finance
- Invoice & payment reconciliation: payments matched to invoices across processors and the ledger; mismatches flagged. AI: an agent investigates and resolves the mismatches automation flags.
- Overdue-invoice chasing: reminders drafted and sent on a schedule tuned to each customer. AI: generative tailors the chase tone to each customer's payment history.
- Approval routing: expenses and POs routed for sign-off, then posted to the accounting system. AI: RAG checks the expense against policy before it's routed.
HR & People
- Onboarding/offboarding: accounts, access, equipment, checklists and reminders triggered the moment someone joins or leaves. AI: generative drafts the personalised welcome and role-specific checklist.
- Leave & expense flows: requests routed, approved and recorded without paper or chasing. AI: RAG answers “how much leave do I have / what's the policy?” inside the flow.
- Compliance reminders: training renewals, right-to-work and document expiries tracked and nudged. AI: an agent drafts and sends the renewal pack and escalates non-responses.
Better together
The backbone AI runs on.
Automation is the fastest, lowest-risk win — and it's the backbone AI runs on. Connect your systems and automate the flow, then let AI add the judgment, content and conversation on top: RAG answers from your data, generative drafts, and agentic AI decides and acts across the connected systems. One without the other is half the value.
See the three types of AI explainedFAQ
Common questions
What is the difference between automation and integration?
Integration connects your systems so they share data automatically — CRM, finance, website, email and apps stop being islands. Automation runs the repetitive, rule-based steps across those connected systems — “when X happens, do Y” — with no one clicking a button. Together they create one connected operation where nothing falls through the gaps.
What is the difference between automation and agentic AI?
Automation follows fixed rules you define — reliable, predictable, deterministic, best for repeatable steps. Agentic AI can reason and decide when the path isn't fixed. The best systems combine them: automation handles the predictable plumbing, AI handles the judgment. Automation is usually the fastest, lowest-risk first win.
Why does Sentry build on n8n?
n8n is powerful and flexible (complex branching workflows), open-source and self-hostable (your data in your environment), cost-effective at scale (no per-task pricing), AI-native (first-class LLM, RAG and agent nodes), and has 400+ integrations. As always, the tool is selected last — against the problem and the value — but n8n is usually the right answer.
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