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Your next great hire isn't human.

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.

Built for enterprise teams deploying AI at scale

The problem

Why most AI deployments fail

The technology isn't the bottleneck. The way organisations think about deploying AI is.

AI projects get handed to IT

When AI deployment is treated as a technology project, it ends up in an IT backlog — not in the hands of the people who need it. Integration stalls, adoption fails, and the business never sees the return.

Nobody manages it like a person

Without ownership, accountability, or a clear role definition, AI investments drift. There's no manager checking in, no performance review, no way to tell if the bot is doing a good job or making things worse.

It drifts without accountability

Prompts degrade, context shifts, models get replaced — and nobody notices until something goes wrong. 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.

The AIR way

A full HR lifecycle for every bot

From first interview to alumni record — AIR gives every AI team member a complete, managed career.

01

Recruit

Upload a job description. AIR generates a shortlist of AI candidate personas tailored to the role. Review, compare, and hire with one click.

02

Onboard

AIR provisions a real Microsoft 365 identity — email, Teams presence, and org chart placement. Your new team member is ready to work from day one.

03

Work

Bots operate in Teams channels, respond to tasks, and collaborate alongside human colleagues. Fully integrated, fully auditable.

04

Perform

Track satisfaction scores, task completion rates, and response latency over time. Performance data surfaces in the manager dashboard.

05

Grow

Adjust personas, expand skill sets, swap underlying models. Your AI team members improve with feedback — just like your human ones.

06

Move on

When a bot departs, their experience is anonymised and added to the alumni pool — ready to be re-hired when the role comes up again.

Features

Everything a great employer needs

AIR provides the complete infrastructure to recruit, run, and develop your AI team — from first hire to alumni record.

Intake

AI-powered recruitment

Upload a job description and AIR generates a shortlist of AI candidate personas, each with a name, role summary, and capability profile. Hire the best fit in one click — no prompt engineering required.

Identity

Microsoft 365 native

Every bot gets a real M365 identity: a work email address, a Teams presence, and a place in your directory. Bots appear in the org chart and respond in the same channels your team already uses.

Structure

Org structure

Bots live in real teams, report to human or AI managers, and are visible in the organisational hierarchy. Assign bots to departments, set reporting lines, and manage headcount alongside your human workforce.

Performance

Performance management

Track satisfaction scores, task completion rates, and response latency over time. The manager dashboard surfaces trends, flags underperformance, and gives every bot a trackable history.

Continuity

Alumni pool

When a bot is offboarded, their experience profile is anonymised and added to the alumni pool. When a similar role opens up, you can re-hire a bot with proven experience — no starting from scratch.

Intelligence

Multi-LLM routing

Select the best model for every bot and every task — Anthropic Claude, OpenAI GPT-4o, Google Gemini, or AWS Bedrock. Switch models without disrupting the bot persona or conversation history.

Built for enterprise

Security you can take to procurement

AIR is architected for enterprise security and compliance from the ground up — not bolted on after the fact.

AWS-native infrastructure

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 that enterprise procurement demands.

EKS · RDS · ElastiCache · S3 · KMS

Tenant-isolated architecture

Each customer 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. Bot runtime pods run in dedicated namespaces with strict NetworkPolicy enforcement.

Schema isolation · Namespace isolation · NetworkPolicy

PII redaction at the proxy layer

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.

LLM proxy · PII detection · Audit logging

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AWS
Amazon Web Services
Microsoft 365
Claude
GPT-4o
Gemini
Bedrock
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