Skip the philosophy. Here are ten specific automations I have implemented that hold up in real operations, roughly in order of return per hour of setup.
1. Inbound lead structuring
Web forms, voicemails, texts, and emails arrive in different shapes. AI normalizes them into one structured record — name, company, need, urgency, source — and drops it into the CRM with a task assigned. Kills the "I thought you were calling them" failure.
2. First-draft quotes and proposals
Feed it the job spec, your pricing framework, and three past proposals. You get a draft in ninety seconds that a human edits in five minutes instead of writing in forty.
3. Meeting notes into actions
Recording to summary to assigned tasks. The value is not the summary — it is that commitments stop evaporating between the meeting and Monday.
4. Email thread triage
Long chains condensed to: what was decided, what is outstanding, who owes what. Especially valuable when an account changes hands.
5. Supplier document extraction
Invoices, packing slips, and price sheets as PDFs turned into structured line items. Human verifies totals. This one alone frequently pays for a whole automation project.
6. Job description and SOP drafting
You describe the role or process out loud. You get a usable first draft. Documentation stops being the thing that never happens.
7. Customer follow-up sequences
Drafted per-customer rather than generic-blast, using the actual context of their job. Approved by a human before sending, always.
8. Review and survey response drafting
Especially for local businesses where review volume matters. Draft fast, edit for tone, publish. Never auto-post.
9. Recruiting screen summaries
Applications summarized against your actual requirements, with the gaps called out. Cuts screening time substantially without cutting the human interview.
10. Weekly report assembly
Pull the numbers, write the narrative, flag anything that moved more than a set threshold. The human reviews and decides — which is the part that was always supposed to be the job.
The three to keep a human on
Anything that commits money or liability without review. Contracts, final pricing, legal language. Draft yes, send no.
Anything requiring judgment about a person. Hiring decisions, terminations, performance conclusions. Use it for summaries, not verdicts.
Anything where a confident wrong answer is expensive. Compliance, safety, regulated advice. The failure mode of current AI is fluent inaccuracy, and fluent inaccuracy is the most dangerous kind.
How to sequence it
Do not do ten. Do one, the one that touches your most expensive repetition. Measure it against a real baseline for thirty days. Then do the next.
The companies that get value from this are not the ones with the most tools. They are the ones with clear processes to automate in the first place — which is why I always fix the record layer before automating anything on top of it.