agentclaw

Workflow automation

The review you never answered is still selling against you

Prospects read your reviews before they call. They read your silence too. Here's what it looks like when an agent watches every platform, drafts responses in your voice, and hands the serious ones to a human before you hear about them from a customer.

The manual version

Where the time actually goes

Nobody's job title is "answer reviews," so the work happens in the cracks, and the cracks are where the time goes.

First someone has to notice the review exists. Google buries the notification, Yelp sends it to an inbox nobody owns, and the industry site your customers actually use gets checked when someone remembers. Then comes the reconstruction: who was this customer, which visit or order are they describing, and did it happen the way they say.

The negative ones cost the most. A one-star review triggers a group chat, three competing drafts, and a debate about whether responding makes it worse. Days pass. Prospects read the review, then read the silence.

  • Checking four platforms by hand, or trusting notifications that land in a dead inbox
  • Matching the reviewer to an actual customer, visit, or order
  • Drafting a response that doesn't argue, grovel, or admit fault
  • The group-chat debate over every one-star review while it sits unanswered
  • Skipping the positive reviews entirely, because a generic thank-you feels worse than silence
agentclaw · workflow run

$ claw run invoice-intake

→ 47 documents queued

→ extracted · matched · posted

✓ done in 3m 12s · 0 exceptions escalated

The automated version

Watch, draft, escalate

The agent does the watching and the first draft. You keep the judgment calls.

  1. 01

    The agent watches every platform

    New reviews get pulled from Google, Yelp, Facebook, and the industry sites that matter for your business, on a schedule measured in minutes rather than whenever someone remembers. Each one gets read and tagged: star rating, what was praised or complained about, and whether the reviewer matches a real customer in your CRM or point of sale. Routine or serious gets decided here, by rules you set.

  2. 02

    It drafts a response in your voice

    Drafts are built from your past responses and tone rules, so they read like something you'd actually write. Each one references what the reviewer said: the dish, the technician, the late delivery. Negative drafts acknowledge the specific complaint and move the fix offline. Anything the agent can't verify against your records, it flags instead of asserting.

  3. 03

    Routine ones queue, serious ones escalate

    Routine drafts land in an approval queue where posting takes one click and an edit takes thirty seconds. Serious reviews skip the queue. Legal language, health or safety claims, an accusation against a named employee, or a suspected fake goes straight to the owner with the reviewer's history and the matching customer record attached. Nothing posts without human sign-off.

Signs it's time to automate this

You don't need all of these. Two or three is enough.

  • You learn about bad reviews from customers or staff, not from the platform
  • Your Google response rate lags visibly behind your review count, and prospects can see the gap
  • The last one-star review sat unanswered for a week while people debated the wording
  • Positive reviews get a one-line thanks or nothing, because real replies take time nobody has
  • Review responses are one person's fifth job, handled after hours or not at all
  • You've slowed down asking happy customers for reviews because you can't keep up with responding

Straight answers

Does the AI post responses without me?+

No. Every response waits in an approval queue for a human click, including the easy positive ones. After a few weeks of watching the drafts, some owners choose to auto-post a narrow slice, like five-star reviews with no complaint in the text. That's a decision you make with evidence in hand, never our default.

What counts as serious enough to escalate?+

You set the list during setup, and the system errs toward escalating. The usual triggers: legal threats or lawyer language, health and safety claims, accusations against a named employee, refund disputes, and reviews from people who don't match any customer record, which is often a fake. Escalations skip the drafting queue and go straight to whoever you name, with full context attached. A false alarm costs you a two-minute read. A missed one costs a lot more.

Can I do this myself?+

Partly, yes. Our free review response pack gives you prompts that turn a pasted review into a solid draft in your tone, and it works today with the AI tools you already have. There's more where that came from in the skills library. What prompts alone won't do: watch four platforms around the clock, match reviewers to your customer records, or route the scary ones to your phone before a customer mentions them. If the DIY version covers your review volume, take the win.

What does this cost?+

Engagements start at $5,000/month, which covers building the workflow and running it, monitoring included, not a software license and a wave goodbye. Whether the math works depends on your review volume and how much of your new business walks in through your ratings. Run your own numbers with the ROI calculator, or book the free audit and we'll tell you whether reviews are even your biggest automation win. If the budget isn't there yet, start with our free resources.

Find out what unanswered reviews are costing you

The free audit maps how reviews flow through your business today and shows where monitoring, drafting, and escalation would slot in. If review management isn't your biggest automation win, we'll tell you what is.

We take on companies ready to invest $5,000+/month. Not there yet? Our free resources are genuinely free.