We are an AI implementation and operations firm. We put a hybrid pod — our operators, your domain experts and our agents — inside one of your workflows, take it from stalled pilot to production, and govern it afterwards. The work is sequenced by our AIM framework, built through Voyager, and metered by Argos. Our fee is tied to the business number the sponsor owns.

A consultancy writes the recommendation and leaves. An integrator bills for time whether or not the number moves. We do both jobs in one accountable team and put a majority of the fee at risk against a baseline your Finance function signs before we start. We also build to hand over: specs, evals, pipelines and patterns stay with your engineers.

Enterprises in regulated, high-volume industries: health plans and health systems, payment-integrity and healthcare technology companies, sustainability data providers and corporate ESG teams, banks and insurers, retailers and distributors, and life sciences organisations. Inside those, our sponsors are typically the executive who owns a cost line or a cycle time — not the innovation team.

Every agent starts in shadow mode, where it produces outputs and humans decide exactly as before. It moves to approve mode — recommending, with a named person deciding — only on eval evidence, and to bounded autonomy only within thresholds your risk owner sets. Adverse decisions about a person are never issued by an agent, in any mode. All 41 agents publish their inputs, guardrails and the KPI they are measured on.

We operate inside your compliance boundary. Deployments run in your VPC, in your region, against models you have approved. Regulated data classes are tagged and Argos blocks any route to an unapproved model or region. We are SOC 2 Type II, HIPAA-aligned with BAA capability, GDPR-ready, and aligned to SR 11-7 and the NIST AI RMF.

Argos meters every model call at the gateway and attributes it to a project, use case, team and outcome — metadata only, never prompt content. You get spend against budget, an hourly-updated month-end forecast, showback to cost centres, and cost per outcome rather than cost per token. That last number is what our outcome fee is read from.

Twelve weeks to a first production outcome is our median, assuming a prioritised use case, access to the relevant systems and a sponsor who owns the number. Blueprint and eval scaffolding land by week two, shadow mode by week eight, approve mode with a measured result by week twelve. A full Assess phase, if you need one first, is twelve weeks on its own and the fee is credited against Implement.

Two ways. Take the two-minute maturity check to see which AIM phase fits where you are, or book a 45-minute working session with an operator. No deck and no credentials tour — bring the queue, the backlog or the cost line, and we will tell you honestly whether we can move it.