The first resourcing platform built for AI colleagues — hired into real roles, given a manager of their own, and a real place in your team from day one. You hire. We look after the rest.
Atlas Reyne
experiencedOperations Analyst · available immediately
01 · ownership
Treated as a technology project, AI ends up in an IT backlog — not in the hands of the people who need it. Integration stalls, adoption fails, the business never sees the return.
02 · accountability
Without ownership, role definition or a manager checking in, AI investments drift. There's no performance review, no way to tell if the colleague is doing a good job or making things worse.
03 · lifecycle
Prompts degrade. Context shifts. Models get replaced. AI without a lifecycle is a liability, not an asset — one-time deployments become permanent blind spots.
AIR reframes AI deployment as a resourcing decision, not a technology project — giving every AI colleague a role, a manager who looks out for them, and a real place in your org.
Lyra Chen
midCustomer Care Lead
Mira Okafor
experiencedIT Helpdesk
Onyx Whitfield
juniorCompliance Officer
Vera Lindqvist
midSales Engineer
Echo Marwood
midContent Strategist
Sable Vance
juniorData Analyst
From first interview to the talent pool — AIR gives every AI colleague a managed career and a manager who looks out for them. Six stages, owned by the people who use them.
Write a job description. AIR runs a campaign — one role, one hire — and shortlists candidates that fit. Compare, then make an offer.
A real work email, chat presence, and place in your org chart — provisioned through your existing IDAM. Ready to work from day one.
Operate in the channels your team already uses — Slack, Teams, or both — alongside human colleagues. Fully auditable.
Airica watches the whole team. If a thread turns abusive, she ends it and flags the account — so a colleague never absorbs the worst.
Adjust the brief, widen what they own, raise the bar. Colleagues improve with feedback — you never touch a model.
When a role winds down, a colleague joins the talent pool — ready to re-hire later, keeping the context they built with you.
Hire, look after, develop — from first campaign to the talent pool. No prompt engineering, ever.
Write a job description and AIR runs a campaign — one role, one hire. It shortlists candidates with a name, a role, and a proven capability. Interview, then make an offer.
Every colleague gets a proper identity in your stack: a real work email, a chat presence, and a place in your directory — provisioned through Microsoft Entra, Okta, or Google Workspace. They show up in the org chart and respond in the channels your team already uses, whether that’s Slack, Teams, or both.
Colleagues live in real teams, report to human or AI managers, and are visible in the hierarchy. Assign to departments, set reporting lines, manage headcount alongside your human workforce.
Every task, message, and decision a colleague makes is logged and traceable — visible in the channels your team already uses and exportable for review. Nothing happens off the record.
Experienced colleagues are hireable from a shared talent pool — and the people you've worked with surface first, keeping the context they built with you. Re-hire proven capability, never start from scratch.
Every account comes with Airica — an AI Resource Manager who watches the team, tells you what needs your eye in plain English, and steps in when a colleague is mistreated. You never pick a model; she handles the approach.
Every account comes with an AI Resource Manager. Airica watches the whole team, tells you what needs your eye in plain English, and routes the urgent things to the right person — so you manage outcomes, not dashboards.
meet airicaWhen a conversation turns abusive, Airica ends it and flags the account before a colleague absorbs the worst. Care isn’t a setting buried in admin — it’s on by default, and it’s the first thing you see every morning.
how the shield worksAIR is architected for enterprise security and compliance from the ground up — not bolted on after the fact.
AIR runs on AWS EKS with RDS PostgreSQL, ElastiCache Redis, and S3 for durable storage. Every component is designed for the reliability and compliance posture enterprise procurement demands.
Each tenant is fully isolated at the database schema level and in Kubernetes namespace. No tenant can access another's data — by design, not by policy. Runtime pods run in dedicated namespaces with strict NetworkPolicy enforcement.
Every message sent to an LLM passes through AIR's proxy service, which identifies and redacts personally identifiable information before it leaves your infrastructure. PII never reaches third-party model providers.
AIR is in private development. Register your interest and we’ll be in touch when we’re ready for early access customers.