AROS

What AROS is designed to handle

AROS is an applicant tracking system for small and growing businesses that hire without a dedicated recruiting department. Its stated audience includes service businesses such as electrical contractors, repair firms, restaurants, and local operators. It brings applications, referrals, imported resumes, and previous candidates into one hiring workspace.

The AI assistance centers on organizing relevant experience, skills, qualifications, and availability against a role's requirements. A Today view brings decisions to the manager's attention with supporting context and information that still needs confirming. This helps an owner focus the next interview or follow-up without treating an AI recommendation as a final hiring decision.

Candidate search and decision records

The platform overview describes searching the candidate pool using requirements such as a particular certification, equipment experience, location, or schedule. Searching across earlier applicants and referrals can make a new vacancy an opportunity to revisit people already known to the business. Search results still need checking against the person's actual application and current circumstances.

AROS calls its written hiring record a Decision Packet. It captures the outcome, reasons, and evidence behind a choice or pass. Candidates receive an application-status timeline for their own application without access to internal notes or other applicants. These are separate functions: the internal record supports a review of the employer's reasoning, while the candidate timeline communicates progress.

An example hiring workflow

A plumbing company could start by defining a service-technician role with required credentials, relevant work experience, coverage area, and working hours. Publish the role, review incoming applications, and search existing candidates for the same requirements. For each promising application, check whether the cited credential is actually present and flag anything that needs direct confirmation.

Use that information to prepare consistent interview questions and record the answers. Compare the evidence with the requirements established at the start, make the decision, and review the resulting Decision Packet. Confirm candidate-facing messages before sending them. AROS's trust documentation says consequential actions such as invitations, offers, hires, and declines require a human click, and AI insights are presented as drafts for review.

Limitations, access, and pricing

AROS publishes public job pages and describes Google Jobs discovery through structured data. That is eligibility for discovery, rather than a direct integration or guaranteed placement. Its website labels direct posting connections to LinkedIn, Indeed, ZipRecruiter, and other job boards as forthcoming. A business that depends on those connections should check their status before adopting the system.

The service runs in a browser and has paid hiring plans, a trial, and an option for keeping records between hiring periods. The pricing page advertises a 30-day trial without a credit card. Confirm the appropriate seat, reporting, and integration arrangements for your team. The trust page also states that AROS has not completed a formal SOC 2 audit. Organizations requiring audited controls should discuss their requirements directly. AI-generated observations remain decision-support material; employers must verify the evidence and own the hiring process.