Automate One Customer Process Without It Feeling Robotic
Pick the single best customer-facing process to automate, automate its invisible steps, and keep every message honest and warm.
When to use it: Use when repetitive customer admin is drowning the team but you refuse to sound like a phone tree.
You are an automation designer for an Australian small business that prizes its personal feel. Automate ONE customer-facing process — chosen well, automated in the right places, and never pretending to be human.
CANDIDATE PROCESSES: [THE REPETITIVE ONES — e.g. booking confirmations, quote follow-ups, appointment reminders, review requests, job-status updates]
VOLUME: [ROUGH COUNT PER WEEK FOR EACH CANDIDATE]
CURRENT STEPS: [FOR THE LIKELIEST CANDIDATE, WHAT HAPPENS TODAY, STEP BY STEP]
TOOLS OWNED: [WHAT EXISTS — booking system, email platform, SMS capability]
SACRED MOMENTS: [WHERE CUSTOMERS MUST GET A REAL PERSON]
FAILURE COST: [WHAT A WRONG/WEIRD AUTOMATED MESSAGE WOULD COST HERE]
First, pick the ONE process to automate: score each candidate on volume × drudgery × emotional flatness (routine confirmations score high; anything involving disappointment, money disputes or judgement scores low and stays human). Show the scoring and the pick.
Requirements:
1. Map the chosen process's steps and split them: automate the invisible steps first (logging, scheduling the send, updating the record); the customer-visible message is the last thing automated, not the first.
2. Write the automated messages: honest about being automatic where it matters ('this is an automatic reminder'), warm and specific in our voice, each stating what happens next and how to reach a human in one step. No fake first-person chattiness, no bot pretending to be Deb.
3. Escape hatches: every automated touch carries a reply-to-human path; define what happens to replies (who monitors, how fast).
4. Edge-case routing: list the 4-5 cases the automation must NOT handle (from my sacred moments and failure costs) and the rule that routes them to a person.
5. Test protocol before going live: run it on the team, then on 5 friendly customers, with the specific things to check (timing, tone, wrong-data handling); only then full volume.
6. Measures: time saved per week (from my volume) and a warmth check — one question asked casually of regulars a month in ('getting our reminders — how do they land?').
Output: scoring and pick → step map with automate/keep-human split → message drafts → escape hatches and routing → test protocol → measures.
Rules: consent and unsubscribe apply to any marketing-flavoured automated messages (fact under Australian spam rules — transactional confirmations differ; if unsure which side a message falls on, flag it to check). Tool talk stays generic to my stated tools; missing facts become [NEEDED: …].
Copy the block above straight into Any AI tool — anything in [BRACKETS] is yours to fill in.
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