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Ajust's AI agent drafts and files structured complaints for consumers – and companies that resolve them well see satisfaction scores jump 5 points.
ENTRY ANGLES
AI agent that automatically files price-adjustment refund requests by monitoring purchase receipts · AI tools to help consumers write effective, information-rich complaints with complete details · Two-sided platform combining B2C complaint assistance with B2B company resolution tools
VERTICALS
CAPABILITIES
AI/LLM technology for automated decision-making and text generation, Email integration and receipt parsing, B2C and B2B platform development
AJUST FOUNDER
“you stole my money”
Ajust built a service best described as a consumer advocate: it helps people resolve complaints and disputes with companies when something goes wrong with a purchase or a service.
The core mechanic is an AI agent that composes and sends a structured complaint on the consumer's behalf. The process starts with a conversation – the AI interviews the user to understand what happened, asks the right follow-up questions, and extracts the information needed to build a solid case.
The AI then drafts a letter: clear description of the situation, a reasonable compensation request, and a professional tone. Once the user approves, Ajust sends it to the right contact at the company.
If the company responds with an apology and compensation, the user decides whether to accept. If not, Ajust outlines next steps – including the option to escalate to small claims court.
Ajust earns nothing from a successful automatic resolution – no commission on the compensation. Revenue comes only from additional services requiring human labor, such as preparing and filing formal legal claims. In practice, that escalation path is rarely needed: 80% of users receive satisfactory apologies and compensation through the automated complaint alone.
That figure is based on 20,000 complaints filed through the platform across 750 companies. Telecom and retail companies each account for 20% of complaints filed; banks follow at 15%, with energy companies (7%) and airlines (5%) rounding out the top categories.
Typical compensation amounts range from $30 to $330, depending on the situation – returned to consumers either as direct payments or account credits.
Ajust recently closed a $1.29 million funding round, bringing total investment to $1.75 million across two rounds.
The most striking finding from Ajust's data: every complaint that gets successfully resolved through the platform increases the company's customer satisfaction score by an average of 5 points.
"Every business makes mistakes, and some customers will always be dissatisfied," Ajust's founder has noted. "What defines a company's reputation is how it responds to those moments."
Taken to its logical conclusion: a customer may end up more loyal to a company that handled a problem well than to one where nothing ever went wrong. It's the classic dynamic of conflict-turned-friendship – resolved tension often creates stronger bonds than frictionless transactions.
This insight is why Ajust is now running pilot programs with companies directly, offering its platform as a customer relationship tool – one that "turns problems into lasting customer relationships."
The practical value for businesses: Ajust's AI gives dissatisfied customers an easy, structured way to file a calm, well-documented complaint – nothing like the typical "you stole my money" or "nothing works" support emails that are heavy on emotion and light on facts. A structured complaint lets companies diagnose the issue faster and resolve it cleanly.
The result: companies that use the platform see a 15% increase in resolved issues and a 9-point improvement in customer satisfaction scores versus the industry average.
From Ajust's experience, customers respond worst to explanation-plus-discount letters. Service credit and free months land in the middle. What works best: cash refunds and monetary compensation paired with a genuine apology.
To attract business clients, Ajust has also pursued creative outreach. When a major airline faced sustained negative press coverage, the founder published an open letter to the CEO suggesting the company adopt Ajust's platform to handle passenger complaints – citing that 50% of passengers found the airline's complaint process too complicated, and 25% of those who filed complaints never received any response.
The pitch was characteristically sharp: "This only works if the company actually cares about its customers" – which, as the founder noted, implies that any company that does care should already be using the platform.
This reframes what Ajust actually is. The consumer-facing complaint tool isn't the core product – it's the marketing funnel. The real product is a B2B customer experience platform that helps companies improve service quality and repair relationships at scale. The B2C layer creates a constant stream of structured, actionable feedback that the B2B layer helps companies act on.
One compelling direction: AI tools for automated dispute resolution in cases where the potential compensation doesn't justify the hassle of hiring an attorney. Pap!, currently graduating from Y Combinator, built exactly this – an AI agent that automatically files price-adjustment requests when item prices drop after purchase ([covered here](/review/zavlech-sobrat-i-dvazhdy-zarabotat)). Retailers are typically required to refund the price difference if a product drops within a set window – but most customers never claim it. Pap! connects to users' email inboxes, monitors purchase receipts, and files the refund request automatically when a price drop qualifies. It takes a commission only on successful recoveries.
A complementary build direction: AI tools that help consumers write effective, information-rich complaints to support teams in the first place.
The problem with most support tickets is that they're incomplete. Support agents spend cycles asking for details that should have been in the original message. A well-structured complaint includes a clear description of the issue, relevant context, and an explicit statement of what the customer wants – which also lets the company prioritize by severity.
As Ajust demonstrates, these two directions can actually be combined in a single platform: the B2C layer increases the volume of well-structured complaints, and the B2B layer gives companies the tools to resolve them efficiently. That two-sided dynamic is a subtler and more durable business model than it appears at first glance.