50 Routine Tasks You Can Hand to AI Agents Today
50 concrete routine tasks across sales, support, marketing, finance, ops, HR and dev, with what the AI agent does and what a human still approves.
Most “what can AI agents do” lists stay vague on purpose, because specifics are harder to get right. This one does not. Below are 50 concrete routine tasks grouped by sales, support, marketing, finance, operations, HR and development, each with what the agent actually does and what a human still has to approve. Use it as a checklist, not a to-do list - the point is to find the handful that already happen constantly in your business, not to automate all 50 at once.
How to Read This List
Each line follows the same structure: the task, then what the AI agent does, then what a human still approves. Tasks where a wrong answer costs money, trust or compliance keep a human in the loop by design. Tasks that are low-stakes and easy to check can run fully automated with an occasional spot-check instead of a per-case approval.
Sales
- Lead qualification from chat - the agent reads the first message and scores intent and budget / a human approves before a quote is sent.
- CRM data entry from conversations - the agent extracts name, contact and need from a chat and writes it to the CRM / a human reviews new records weekly, not per entry.
- Follow-up messages after no reply - the agent sends a scheduled nudge with context from the original conversation / a human approves the message templates up front, not each send.
- Quote generation from a price list - the agent assembles a quote from current prices and the customer’s request / a human approves any quote above a set discount threshold.
- Order recovery from chat history - the agent reconstructs missed or abandoned orders from past conversations / a human confirms before re-charging or re-sending anything.
- Lead routing to the right salesperson - the agent assigns a lead based on product, region or size / a human can reassign manually at any time.
- Meeting scheduling - the agent proposes times based on calendar availability and confirms the booking / a human approves any reschedule tied to a key account.
Support
- First-response answers from your documentation - the agent answers from your own FAQ and policies / a human approves any answer involving a refund or exception.
- Ticket triage and tagging - the agent categorizes and prioritizes incoming tickets / a human reviews the urgent-priority queue.
- Order status lookups - the agent checks order status and replies with the real answer / no approval needed, it is read-only.
- Escalation handoff - the agent detects frustration or a question outside its scope and hands off with full context / a human takes over the conversation from there.
- Multi-channel coverage - the agent answers consistently across chat, email and messaging apps / a human sets the anti-ban limits and tone per channel once, up front.
- Returns and refund requests - the agent checks eligibility against policy and drafts a response / a human approves the actual refund.
- Post-resolution satisfaction check - the agent sends a short follow-up after a ticket closes / no approval needed, results are reviewed in aggregate.
Marketing
- Product-card generation from raw specs - the agent writes a listing-ready product description and title / a human spot-checks a sample batch, not every card.
- Ad performance reporting - the agent pulls spend, clicks and conversions into one readable report on a schedule / a human decides what to do with the numbers.
- Social post drafting from a content calendar - the agent drafts captions in your brand voice / a human approves before anything is published.
- Competitor price monitoring - the agent checks competitor prices continuously and flags undercuts / a human decides whether and how to respond.
- Review and mention monitoring - the agent scans for new reviews or brand mentions and summarizes sentiment / a human handles any response that needs judgment.
- A/B test reporting - the agent tracks results against a defined success metric and reports the winner / a human decides whether to roll it out.
- Email list segmentation - the agent tags contacts by behavior for targeted sends / a human approves the segments before a campaign goes out.
Finance
- Invoice chasing - the agent sends scheduled reminders for overdue invoices / a human handles any client who disputes an amount.
- Payment reconciliation - the agent matches incoming payments to open invoices / a human reviews unmatched or partial payments.
- Expense categorization - the agent tags transactions against your chart of accounts / a human reviews anything above a set amount.
- Catalogue pricing updates - the agent updates prices across marketplaces when costs or rules change / a human approves any change beyond a set percentage.
- Subscription and renewal tracking - the agent flags upcoming renewals and drafts the renewal notice / a human approves price changes communicated to the client.
- Financial reporting in plain language - the agent answers questions like “what was revenue last week” with real numbers from your data / a human makes decisions based on the answer.
- Undercut and margin alerts - the agent flags when a competitor price would make a sale unprofitable / a human decides whether to match, hold or adjust.
Operations
- Inventory sync across channels - the agent updates stock levels everywhere a product is listed / a human approves bulk relisting after a major stock change.
- Order processing from message to fulfillment - the agent extracts order details from a chat and creates the fulfillment record / a human confirms before shipping anything unusual.
- Vendor and supplier follow-ups - the agent sends scheduled status requests to suppliers / a human handles any delay that needs negotiation.
- Scheduling and shift reminders - the agent sends shift confirmations and reminders / a human approves schedule changes.
- Document and form generation - the agent fills recurring forms (contracts, shipping labels, certificates) from a template and data source / a human signs or approves before sending externally.
- Daily operations summary - the agent compiles what happened across systems into one daily digest / a human decides what needs action.
- Quality or SLA monitoring - the agent tracks response times and flags misses against your SLA / a human addresses the underlying cause.
- Data migration between systems - the agent moves and cleans records when switching tools / a human spot-checks a sample before the old system is retired.
HR
- Candidate screening from applications - the agent checks resumes against defined criteria and ranks candidates / a human makes every hiring decision.
- Interview scheduling - the agent coordinates calendars between candidates and interviewers / a human approves the final shortlist being scheduled.
- Onboarding checklist delivery - the agent sends the right onboarding steps and documents on the right day / a human handles any question outside the checklist.
- Time-off request routing - the agent checks policy and balance, then routes for approval / a human still approves or denies the request.
- Employee FAQ answers - the agent answers routine HR policy questions from your handbook / a human handles anything sensitive or personal.
- Offboarding checklist - the agent triggers account deactivation steps and document collection on the exit date / a human confirms each access revocation.
- Internal survey collection and summary - the agent sends the survey and summarizes results / a human interprets and acts on the findings.
Dev
- Routine code review checks - the agent flags style issues, missing tests and obvious errors before human review / a human approves the merge.
- Test writing for defined functions - the agent drafts unit tests against a specification / a human reviews coverage and edge cases.
- Log and error monitoring - the agent scans logs and summarizes new error patterns / a human decides what to fix and when.
- API integration boilerplate - the agent writes the repetitive connection code between two systems / a human reviews the integration before it touches production.
- Documentation updates - the agent drafts documentation changes when code changes / a human reviews for accuracy before publishing.
- Deployment status reporting - the agent reports what shipped, when, and whether checks passed / a human still owns the actual deploy decision.
- Playbook contradiction checks - the agent reviews an AI agent’s own instructions for conflicting rules before launch, the way a reviewer agent found and removed 19 contradictions in one of our own sales-agent playbooks / a human signs off before go-live.
What “A Human Still Approves” Should Mean in Practice
The right rule is not “a human reviews everything” or “the agent handles everything.” It is: anything that moves money, makes a promise to a customer, or cannot be easily undone gets a human in the loop before it happens. Everything else can run automatically with a periodic sample check instead of a per-case review. Get this split wrong in either direction and you either waste the automation’s value by approving everything, or create real risk by approving nothing.
Where to Start
- Count how often each task actually happens in your business this month. Frequency tells you where the time is really going.
- Pick the task with the highest frequency and the lowest judgment requirement - that combination is the safest and fastest win.
- Build and test one agent for one category first. A support agent that also tries to handle finance is harder to trust than two focused agents.
- Measure for two to four weeks before adding the next task to the same agent or starting a new one.
- Revisit this list quarterly. The tasks that were too risky to automate six months ago are often safe to automate once the first agent has a track record.
How We Approach It
For single, well-defined tasks from this list, our automation builds start from $500 per task, and our catalogue of 100+ ready automations already covers a large share of what is above. For tasks that genuinely need an agent that reads and decides, not just a rule, our AI agents start from around $1,500. If you are not sure which of your own tasks belong on this list, our routine takeover audit, from $400, maps it out before you spend on a build.
Tell us which of these 50 shows up most in your week, and we’ll tell you honestly whether it is worth automating first. Post nos, futurum - the future of the world runs on us.
FAQ
Do all 50 of these tasks need a custom AI agent built from scratch?
No. Many are single automations that connect two systems with a rule, not a reasoning agent. A handful genuinely need an agent that reads messages and decides what to do. The list marks the difference by what the agent actually does for each task.
What happens when the agent is not sure what to do?
A well-built agent hands the case to a human instead of guessing. That handoff rule is part of what you are paying for when you have one built properly, not an afterthought.
Should a human really approve every single one of these when automated?
No, only the ones where a wrong answer costs money, trust or compliance - refunds, discounts, anything sent externally under your name. Low-stakes tasks like drafting a report or tagging a lead can run fully automated with a periodic spot-check instead.
How do I decide which of these 50 to automate first?
Start with whichever task on this list already happens most often in your business and causes the most errors or delays when done by hand. Volume and error rate matter more than novelty.
Can one AI agent cover several of these tasks at once?
Often yes, within one category - a single sales agent can qualify leads, answer FAQs and update a CRM. Mixing categories, like sales and finance, in one agent usually adds risk without adding much value, so most setups use a small agent per category instead.