AIR is the first resourcing platform built for AI team members — with real roles, real identities, and a full HR lifecycle from recruitment to alumni.
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 bot 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 bot a role, an owner, and a career.
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 alumni record — AIR gives every AI team member a complete, managed career. Six stages, owned by the people who use them.
Upload a job description. AIR generates a shortlist of candidate personas. Compare, hire with one click.
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.
Satisfaction scores, completion rates, response latency. Surfaced in the manager dashboard.
Adjust personas, expand skill sets, swap underlying models. AI team members improve with feedback.
When a bot departs, their experience is anonymised and added to the alumni pool for re-hire.
Recruit, run, develop — from first hire to alumni record. No prompt engineering required.
Upload a job description. AIR generates a shortlist of candidate personas with a name, role summary, and capability profile. Hire the best fit in one click.
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.
Bots 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.
Track satisfaction, task completion, and response latency over time. The manager dashboard surfaces trends, flags underperformance, and gives every bot a trackable history.
When a bot is offboarded, their experience profile is anonymised and added to the alumni pool. Re-hire a bot with proven experience — no starting from scratch.
Pick the best model for every bot and every task — Claude, GPT-4o, Gemini, or AWS Bedrock. Switch models without disrupting the persona or conversation history.
AIR 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.