What is Review AI?
Review AI is software that runs the review cycle around a business: asking for a review at the right moment, drafting a brand-safe reply, routing an unhappy customer into a private recovery flow, and publishing the strong reviews where buyers look. Review AI never invents feedback. The rating comes from real customers. Only the chasing, drafting and filing stop eating staff hours.
A job closes at 16:40. Review AI sends the request on WhatsApp, falls back to email or SMS when nothing lands, drafts a reply once the review appears, and pushes the strong ones to the website widget. Anything below the threshold goes to a person with a ticket attached, instead of into a public argument. We build Review AI for South African companies from Cape Town, and we have delivered systems like this for 35+ companies over 3+ years. Builds run on tools such as n8n, OpenAI and WhatsApp Business Cloud API, wired into the CRM already in place.
How does Review AI work in practice?
Review AI works as a chain of small steps that fire on a trigger instead of on someone's memory. Request comes first: an order marked delivered, a job signed off or a ticket resolved sends a friction-free review link on the channel that customer actually reads. Timing is the whole game, so the ask goes out on completion, not in a random blast on a Tuesday.
Respond comes next. Review AI drafts an on-brand reply from the context attached to that customer, the order, the ticket and the agent notes, then publishes it or holds it for approval. Recover handles the rest: a low rating opens a private ticket with an SLA, macros and a make-good option, and the ask repeats once the issue is closed. Monitor watches ratings, sentiment and recurring topics, and alerts the team when a spike needs a human. We assemble the steps with n8n or Make.com, with language handled by OpenAI, Anthropic Claude or Google Gemini.
What does Review AI replace?
Review AI replaces the manual reputation admin nobody has time for: remembering to ask, pasting a review link into a WhatsApp message by hand, writing the same thank-you reply for the twentieth time, spotting a one-star rating three weeks late, and screenshotting testimonials onto the website. None of that is customer service. All of it decides what the next buyer sees first.
Requests that used to depend on a staff member's mood now fire on completion. Reply drafts arrive ready for a quick edit rather than as a blank box at the end of a long day. Detractors reach a person while the problem is still fixable, not after the rating is public and permanent. Wins land on the site and on social without anyone exporting a screenshot. We do not promise volume lifts or rating jumps, because every business earns its own. We map the current review process first, then show exactly which manual steps disappear.
Does Review AI work with our existing tools?
Review AI is built into the tools a business already runs, not sold as a replacement for them. Integration is the core of the work. We connect customer records in HubSpot, Pipedrive, Zoho or GoHighLevel, helpdesk tickets and SLAs in the support tool already in use, order and job events from the ecommerce or field service platform, and customer messaging over WhatsApp Business Cloud API or Twilio.
The systems the team already trusts stay the source of truth. Review AI reads from them and writes back, so a rating, a reply and a recovery ticket all sit against the same contact and the same owner. Published reviews feed website widgets and the major destinations, and highlights can be pushed to social channels. Data that needs its own home lands in Supabase or PostgreSQL, and everything runs behind Cloudflare. If a tool has an API, Review AI can usually talk to it. If it does not, we say so before any build starts rather than after.
Is Review AI POPIA compliant, and who approves replies?
Review AI built by us is POPIA-aware from the first design session, because a review request is still direct marketing sent to a customer whose details the business holds. Consent is captured explicitly, with the source and the time stamp recorded. Every request carries clear opt-out wording, quiet hours block after-hours sends, and approved template messaging is used on WhatsApp where the rules require it.
Approvals sit where the risk sits. Sensitive replies, complaints and VIP accounts wait for a human before anything publishes, while routine thank-you replies can auto-publish once the wording has been signed off. Nothing goes public in the brand's name without a rule someone in the business wrote. A banned claims list keeps automated wording inside the boundary the business sets, human edits are preserved, and every ask, reply, escalation and publish is written to an audit trail. Data is encrypted in transit and at rest, and webhooks are signed.
How does a business start with Review AI?
Starting with Review AI is a conversation, not a contract. Pick one outcome first: more reviews on the platform that matters to this business, faster replies, or fewer complaints going public before anyone in the team sees them. Define what good looks like and where the guardrails sit. That conversation costs nothing and usually takes under an hour.
Next we connect the triggers and the channels. Order, job and ticket events feed one queue, WhatsApp, email and SMS carry the ask, and the assistant is grounded in the brand's own tone guide and policies so replies sound like the business rather than like a template. Wording is drafted, reviewed and approved before anything sends. The pilot runs two to four weeks on the business's own accounts, then the wording that works is promoted and more branches or teams come on. The business owns everything we build: workflows, prompts and data. We have worked this way with 35+ companies across South Africa.
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