Airiam builds the AI your business actually needs — retrieval assistants over your own documents, integrations across the systems you already run, bounded agents, and automated workflows. What sets the work apart is what surrounds it: every system is governed, controlled, observable, and traceable by design — engineered to support the SOC 2 and HIPAA obligations your clients and regulators hold you to.
We start from your systems and your data, not a fixed product off a shelf. If it can be built responsibly, we can build it — and most of what our clients ask for falls into five shapes.
Assistants that answer from your own documents — grounded in what they retrieve and clear about what they assume, never inventing an answer just to look helpful.
We connect the tools you already run — ticketing, finance, comms, cloud — so work flows between them automatically instead of through inboxes and copy-paste.
Agents that take real work off your plate — each scoped to a narrow job with hard limits on what it can see, touch, and change. Autonomy with a leash.
Multi-step processes that run themselves — intake, triage, review, reconciliation — with people kept in the loop exactly where a human decision matters.
Full operational platforms and internal tools built around your process — and stood up inside your own compliance boundary, not someone else's cloud.
A safe, documented path from idea to production for the apps your team wants to build — with promotion gates and synthetic data only until they're proven.
The same control layer runs underneath everything we build. It's the reason our AI can move quickly without turning into a liability — and it's the part a demo never shows you.
Reads are free; writes are governed. Every action that changes something is risk-scored, policy-checked, and recorded before it's allowed to happen.
Everything is written to a trail you can add to but never quietly rewrite. When someone asks "what happened, and who approved it?" the evidence is already there.
Nothing that can't be taken back — money moving, a merge to a protected branch — happens without a named person signing off. The AI does the work; people own the risk.
Where it counts, decisions come from named rules — not an opaque score. Every flag reduces to a plain sentence you can defend to an auditor.
An Authority Context keeps one client's data — and one engagement's IP — from bleeding into another's. Separation of duties is enforced, not assumed.
Metrics, traces, and cost stream from every service — redacted at a single boundary, so the telemetry that makes systems observable carries no PHI by construction.
Nothing out of the ordinary. The action proceeds silently — the routine majority.
Low-risk flag. A person eyeballs it and confirms before it proceeds.
Higher risk. Held until the right authority explicitly approves it.
A hard control tripped. The action is rejected outright and never executes.
Because control, isolation, and evidence are designed in from the first line — not bolted on afterward — the systems we deliver can be built to support your SOC 2 and HIPAA (BAA-backed) obligations. We scope that to what each engagement actually requires; it's an option we design toward for you, not a box we ask you to take on faith.
These are real projects from the division, shown at honest stages of maturity. Each one is the same governed pattern pointed at a different problem.
The operating platform in one picture — eight functional modules over eleven shared services, every layer purpose-built around the governed write-path.
Watch a single action walk the full governance chain — risk-scored, policy-checked, and written to the immutable trail. Change the scenario, get a different verdict.
One assistant, many hats, provably controlled — an Authority Context keeps client and IP data from bleeding between engagements, and every write is gated to a verdict.
One operator hub across platforms — capacity and cost forecasting, top problem signatures, and drift signals, all backed by a full audit view.
Every money-moving action is checked against eighteen deterministic controls and each person's own learned baseline — blocking what's dangerous, holding what's doubtful, waving through the routine. No black box; every flag is explainable to an auditor.
Plain language to a validated architecture, to a runnable simulation, to real code — then production traces reconciled back against the original design. The loop closed end to end.
From six conversational channels — voice, SMS, WhatsApp, chat, Teams, Slack — to a triaged issue: PII redacted, prioritized, de-duplicated, with a warm human handoff where it's needed.
Turns a request into a phased project plan and level-of-effort estimate — grounding Airiam-specific facts in retrieved documents and clearly labeling everything it assumes.
An operating model that extends engineering work overnight — reviewing, testing, and drafting reversible improvements — with no autonomous merge or push. The day team starts with decisions, not backlog.
An observability fabric over OpenTelemetry that captures metrics, traces, and cost from every service and redacts at one boundary — so telemetry carries no PHI by construction.
A productized engagement that takes a client from a governance assessment, through a governed sandbox, to fully managed AI operations — Airiam as your standing AI governance function.
Interactive governance tooling — a governance-layer simulator and a CMMC Level 2 readiness walkthrough — packaged with service definitions and sample SOWs.
The point isn't "the AI wrote something." The point is what lands on your team's desk in the morning — and what no longer keeps you up at night.
Routine review, testing, and drafting happen between shifts — so your people spend their day on decisions instead of clearing backlog.
Defects and risky changes surface before they reach production — where they're cheapest to fix and least disruptive to everyone downstream.
Work arrives organized, verified, and reversible — ready for an accountable yes or no, not a from-scratch investigation.
Suspicious activity is held or stopped while the routine flows through untouched — controls that protect the business instead of slowing it down.
Every automated decision traces back to a rule and a record you can put in front of an auditor, a regulator, or a nervous client.
Isolation and redaction are built in, so sensitive data doesn't leak between clients or spill into logs and telemetry.
We sell governance, not seats — and we run it, not just advise. Most engagements follow one arc, sold in stages and priced independently, so you can stop or scale at each step.
Environment, identity, and data review; a platform recommendation and a phased roadmap you can act on — with no obligation to implement.
The chosen platform stood up inside your compliance boundary, with controls validated before anyone gets access.
A safe, documented path from idea to production for your own apps — intake, promotion gates, monitoring; synthetic data only.
Ongoing governance, continuous monitoring, and tiered support — a standing AI governance function you don't have to staff yourself.