The workflows that reliably pay back are the ones you already run dozens of times a week without thinking: lead intake, follow-up sequences, meeting notes into your CRM, invoice chasing, report assembly. Below are twelve specific ones, with the trigger, the steps and the honest failure mode for each — plus three that look like obvious candidates and are not.
If you have not yet worked out which of these applies to you, the framework for choosing is here.
1. Lead intake and routing#
Trigger: a form submission, inbound email or completed call. Steps: extract the details from whatever format they arrived in → check for an existing contact → create or update the CRM record → assign an owner by rule → acknowledge within seconds → notify the owner with full context. Saves: 3–6 hours/week for a team handling 50 leads. Watch for: duplicate contacts. Get your matching rule right — email plus normalised phone, not name.
The highest-value first automation for most businesses, because it is pure copy-paste today and response speed measurably changes conversion.
2. Follow-up sequences that stop when they should#
Trigger: a lead reaches a stage without progressing. Steps: wait the configured interval → check whether they have replied or booked → if not, send a follow-up referencing their actual enquiry → escalate to a human after the third attempt. Saves: 2–4 hours/week, and recovers deals that otherwise go quiet. Watch for: the sequence continuing after someone has replied. This is the single most common automation failure and it is actively damaging — check reply state before every send, not just at the start.
3. Call and meeting notes into the CRM#
Trigger: a call or meeting recording completes. Steps: transcribe → summarise → extract action items, next steps and any dates mentioned → append to the correct CRM record → create tasks for the actions. Saves: 15–20 minutes per meeting, which for a team doing 30 a week is nearly a full working day. Watch for: matching the transcript to the right record. Use the calendar invite's attendees rather than trying to infer from the audio.
4. Quote and proposal assembly#
Trigger: a deal reaches "proposal" stage. Steps: pull the requirements captured during discovery → select the matching service modules and pricing → generate the document → route to a human for review → send on approval. Saves: 45–90 minutes per proposal. Watch for: never auto-send. Pricing errors are expensive and reputationally costly — the system drafts, a person approves.
5. Invoice chasing#
Trigger: an invoice passes its due date. Steps: check payment status → send a polite reminder at +3 days → firmer at +14 → escalate internally at +30 → stop immediately on payment. Saves: 2–3 hours/week and demonstrably shortens payment cycles, mostly because it never gets embarrassed about asking. Watch for: payment-status sync lag. Chasing someone who paid yesterday is worse than not chasing at all.
6. Support ticket triage#
Trigger: an inbound support email or form. Steps: classify by topic and urgency → check for an existing open ticket from the same customer → attach relevant account context → route to the right queue → draft a suggested reply for the agent. Saves: 4–8 hours/week at moderate volume, and cuts first-response time sharply. Watch for: this is an augment, not a replace. The draft is a starting point for a human, not an auto-reply.
7. Onboarding checklists#
Trigger: a deal closes. Steps: create the project workspace → generate the task list from the service type → send the welcome sequence → request the assets and access you need → chase what has not arrived → alert the owner when everything is in. Saves: 1–2 hours per client, and removes the "did anyone send them the kickoff form?" problem entirely. Watch for: make the chase escalation gentle and finite. Three polite nudges, then a human.
8. Recurring report assembly#
Trigger: a schedule — Monday 8am, first of the month. Steps: pull the numbers from each source → reconcile them → generate the summary with period-on-period comparison → flag anything outside its normal range → deliver to the right channel. Saves: 2–5 hours/week, usually from a senior person, which makes it worth more than the hours suggest. Watch for: silent data-source failures producing a confident report built on stale numbers. Assert freshness before publishing.
9. Appointment reminders and no-show recovery#
Trigger: 24 hours before an appointment; then a no-show being marked. Steps: send a reminder with the details and a reschedule link → on no-show, wait 30 minutes → reach out with rebooking options → offer the freed slot to a waitlist. Saves: typically the biggest revenue impact on this list for appointment businesses. No-show rates drop meaningfully with a well-timed reminder. Watch for: time-zone handling and reminder fatigue. One reminder, well-timed. Not three.
10. Document data extraction#
Trigger: a PDF or scan arrives — an invoice, a form, a signed agreement. Steps: extract the structured fields → validate against expected ranges → write to the destination system → queue anything low-confidence for human review. Saves: 3–10 hours/week for document-heavy operations. Watch for: always set a confidence threshold and route below-threshold items to a person. An extraction system with no review path will eventually put the wrong number somewhere expensive.
11. Review requests at the right moment#
Trigger: a job completes or an order is delivered. Steps: wait the appropriate interval → check for open complaints or support tickets → send a personalised request → route to the review platform → alert internally on negative sentiment. Saves: an hour a week, but the real return is review volume, which compounds into local and organic visibility. Watch for: never request a review from someone with an open complaint. Check first, every time.
12. Data sync between systems that do not talk#
Trigger: a record changes in either system. Steps: detect the change → map the fields → resolve conflicts by a defined rule → write to the other side → log the change. Saves: varies enormously, but it eliminates an entire class of "which system is right?" arguments. Watch for: decide upfront which system is authoritative for each field. Bidirectional sync without a conflict rule creates loops and corrupts data.
Three that look automatable and are not#
Pricing decisions on non-standard work. The system can gather every input and present them cleanly. The number should come from a person, because the cost of being wrong is asymmetric.
Anything with legal, medical or financial consequences. Prepare the case, surface the precedent, draft the language. Do not let it decide.
Genuinely one-off tasks. The urge to automate something you had to do manually and hated is strong. If it runs twice a year, doing it manually a third time is cheaper than any build.
Where to start#
Take the list above, mark every workflow you currently do by hand, and estimate frequency × minutes for each. The top item by that product is almost always your first project — and it is almost always number 1 or number 2 on this list.
Then build exactly one of them, properly, with error handling and logging. Not six.
Our AI systems service page covers how the audit and build actually run, or start a scope and we will come back with a ranked shortlist for your business.