The Governed AI-Native Enterprise OS
People and AI agents working together over your enterprise data and content, inside your permissions, with source-linked answers and every governed action recorded. Connect the systems you already run — your ERP, CRM, and the rest — and put AI agents to work across all of them: doing the routine under limits you set, asking a person before anything consequential, and leaving a record you can prove. No rip-and-replace, no migration.
An agent runs a real task — a finance review, a document hunt — with the result and the record in view.
Credible because it’s provable — and built to the standards you answer to.
Not a usage scoreboard. The platform proves what it did, keeps your data where your rules require it, and maps to the frameworks your industry holds you to.
One platform, one permission model, one verifiable record — across every department.
Keep your systems of record. Automate on top of them.
The A4 Platform connects to the systems your business already runs on — and turns them into something governed AI agents can act across, under your permissions and on a record you can prove. Nothing to rip out. Nothing to migrate.
Your source systems stay authoritative. A4 syncs a governed copy, lets agents act on it under your rules, and can write approved changes back to your key systems — every step on a tamper-evident record.
And if you’d rather leave a system behind, you can — all of it, or any portion. Agentic AI has made moving from one platform to another easier than it has ever been, and our team, working through the same governed agents, can migrate you off virtually any SaaS app in a fraction of the time a traditional migration once took. Keep the systems you want; migrate the ones you don’t — either way it’s your choice, never a requirement.
Solve one painpoint first. Run everything here when you’re ready.
You don’t have to re-platform your business to get value. Start where it hurts most — one workflow, one team, one connection — and let governed agents take on the routine there first.
As those agents earn your trust, more of the routine runs on its own and the same team does more. Expand at your pace — add a department, a process, a system whenever you’re ready.
Run your whole operation here if you want to; solve a single problem if that’s all you need today. A4 meets you where you are and grows with you — you are never required to move everything at once.
Whoever you are, the first question is the same.
Can I put AI to work without losing control? The answer changes shape depending on where you sit — the chair, the security team, the auditor, the people drowning in routine. Here is the case for each.
Permissions that hold. Proof, not promise. Control you can keep.
The hard part of enterprise AI was never the agent. It’s the controls underneath that have to hold when someone asks “what did it do, and was it allowed?” Three of them are built into the foundation — enforced, not promised.
An agent can only ever touch what you allow.
Permissions are fine-grained and compose into org-scoped roles — access is resolved per person, deny-by-default, and granted only where you explicitly allow it. Every grant is explainable, tracing back to the rule that decided it. “Just ask the AI” can never become a way around your controls — the agent inherits the exact permissions of the person it acts for, and nothing more.
Every action is on a record you can verify.
Each covered change advances a tamper-evident, SHA-256 hash-chained record — what was touched, by whom, and whether it was allowed. Alter one entry and the chain breaks, detectably. An auditor can confirm the record without taking our word for it.
Authority narrows as work goes down — and climbs back up.
Agents take on multi-step work by delegating down a governed hierarchy, each bound to a named person and capped by a hard dollar-and-scope ceiling. A helper can never widen authority — it does strictly less than the agent that launched it. Anything consequential stops in a human-oversight queue for the named person to approve — and every refusal is shown in plain language, as proof the guardrails fire.
Describe what you need. A4 stands it up.
Agents handle the routine your people shouldn’t — intake, classification, search, follow-up, reconciliation — each under a hard spending limit, asking before any high-stakes move.
And they don’t just answer. Describe a view, a report, or a tool in plain language and A4 builds it — on the same data, under the same permissions, approval, and audit as everything else. You buy efficiency on the roles you already run, not another row of seats.
People and agents stand up new tools and views — no engineering cycle, same governance.
Built for the way every person on your team is held accountable.
When you’re accountable for the data, “trust us” isn’t enough — you need to prove it. Every permission decision and agent action lands on a record an auditor can independently verify. See exactly how we protect your data, where it lives, and how we prove what happened — in full on our trust page.
The chronological, verifiable record of every action — filter, export, confirm on demand.
Watch an agent do the work — on your data.
An AI agent can complete a multi-step accounts-payable review end to end in about ten minutes — under budget, every step recorded, escalating the calls that need a person. A full decision record an auditor could replay.
Bring an active question — a document hunt, a finance review, a record you can’t reconcile. We’ll show you the answer arrive, with the proof behind it.