AI workflow examples and templates
Real workflow examples before you automate anything
A practical library of AI and automation workflows Tenaxity can map, build, monitor and improve across sales, inbox, CRM, reporting, support and operations, each laid out as a template you can check against your own process.
Trigger
A form, email, CRM update, support ticket, spreadsheet row, or scheduled report starts the workflow.
AI step
Classify, summarise, extract, score, route, draft, or detect missing context.
Control
Human approval, confidence thresholds, logging, retries, and escalation rules.
Output
CRM updates, tasks, alerts, reports, handovers, support replies, or clean datasets.
AI workflow examples for sales, inbox and CRM
These AI workflow examples are not abstract demos. Each one is a common operational workflow where automation can cut admin, speed up response times or make process risk visible, and each links to the service page that covers it in depth. If you want a broader view by sector instead, our guide to AI automation use cases across industries covers that.
Sales
Inbound lead triage
Capture leads from forms, ads, email and chat. Enrich company data, classify intent, create or update CRM records, assign an owner and alert the right person. See AI lead generation automation.
Inbox
Shared inbox routing
Summarise threads, detect urgency, classify request type, route to the right owner, create tasks and flag messages that need human review. See AI email automation.
CRM
CRM hygiene agent
Find missing fields, stale deals, duplicate contacts, inconsistent lifecycle stages, overdue tasks and records that need manual confirmation. See AI CRM automation.
Example: lead intake to CRM follow-up
A common first workflow for teams that get enquiries from several places and rely on people remembering every next step. If one of the three examples above already sounds like your week, book a free audit and we will map it with your real volumes.
Capture
Form, email, ad lead, referral, or chat message enters the workflow.
Enrich
Company, source, sector, urgency, existing CRM record, and missing fields are checked.
Route
The lead is assigned, summarised, and added to the right CRM stage with a task.
Follow up
AI drafts the next message, but a human approves before anything sensitive is sent.
Workflow automation examples for reporting, support and operations
The next three workflow automation examples sit behind the scenes. They rarely get attention until a report is late, a complaint is missed or a new client starts badly.
Reporting
Weekly reporting workflow
Pull from CRM, sheets, ad platforms, support tools or databases. Summarise movement, highlight exceptions and send a clear report. Usually built as an n8n workflow on a schedule.
Support
Support triage loop
Classify support messages, summarise context, suggest replies, detect priority issues and route escalations with audit notes. See AI customer support automation.
Operations
Handover assistant
Turn sales notes, forms, emails and meeting summaries into structured briefs, project tasks, checklists and delivery risk notes. Part of our AI sales automation work.
AI workflow templates: the blueprint behind each example
Every example on this page can be written up as one of these AI workflow templates before anything is built. Fill it in for your own process and you have most of a build brief. If you have three or more of the six examples above, a free AI workflow audit is the quickest way to decide which comes first.
Choose the right workflow pattern
Different workflows need different build patterns. The right pattern depends on reliability, data quality, approvals, and the tools involved.
Rules first
Best for stable processes with clear decisions: routing, field updates, alerts, reminders, reporting, and handoffs.
AI assisted
Best for messy text or context: summarising, classifying, extracting, drafting, scoring, and prioritising.
Human approved
Best when judgement matters: outbound emails, customer responses, sales recommendations, and exception handling.
What makes a workflow worth building?
A workflow is worth automating when it repeats often enough, has clear inputs and outputs, and can be monitored after launch.
Good candidates
High repetition, clear owner, measurable value
- Admin happens every week.
- Inputs and outputs are repeatable.
- The workflow touches CRM, inbox, sheets, or reporting.
- Errors create missed revenue, slow service, or wasted time.
Be careful
Vague processes produce fragile automation
- No one owns the process.
- Source data is unreliable or sensitive.
- Judgement-heavy decisions are being rushed.
- A simple tool setting would solve the problem faster.
FAQs about AI workflow examples
Short answers for teams deciding which workflow to map first.
What is an AI workflow?
A sequence of automated steps where at least one step uses an AI model, for example to read an email, classify a request or draft a reply, while rules and people handle the rest.
How are these AI workflow examples different from AI use cases?
A use case names a problem AI can help with. A workflow example shows the trigger, steps, controls and outputs needed to actually run it every day.
Can you build these as n8n workflows?
Yes. Most of the examples on this page are built in n8n, connected to an AI model and the tools you already use, in your own n8n account or instance.
Can we use an AI workflow template as-is?
Treat a template as a starting point. The trigger and outputs often transfer, but the rules, approval points and data fields need to match how your team works.
Which AI workflow should we build first?
Usually the one that repeats every week, has a clear owner and causes missed revenue or wasted time when it slips. Lead intake and inbox routing are common first builds.
Do these workflows need a particular CRM or inbox?
No. We can connect to tools such as HubSpot, Pipedrive, Salesforce, Gmail, Outlook, Slack, Microsoft Teams and Google Sheets through their APIs.
How do you stop an AI workflow sending the wrong thing?
Customer-facing drafts go to a person for approval, unclear cases are routed to a review queue, and every run is logged with alerts on errors.
How do we know if a workflow is worth it?
Measure the minutes each item takes today and multiply by weekly volume. Compare that with the checking time after automation. We run these sums in the audit.
Related automation pages
Use these pages when one example matches a specific service area.
n8n automation builds
For branching workflows, API calls, reusable logic, monitoring, and human approval paths. Explore n8n automation.
AI sales automation
For lead intake, enrichment, follow-up, CRM updates, handovers, and pipeline reporting. Explore sales automation.
Workflow Audit
For choosing the first workflow to build and defining the controls before implementation. Book a free audit.
Recommended next step
Turn one example into a build-ready workflow map
Book a free AI workflow audit and we will identify the best first workflow, the tools involved, the risks, and the automation path worth building.
- Workflow map
- Tool recommendation
- Approval points
- First sprint plan