Your trusted technical partner in AI-native transformation.
We build your AgentOS and enterprise knowledge base, and deploy governed AI agents inside the systems you run on.
Your people face the world. Agents run the inside.
People stay where judgment and relationships matter — at the edge, with customers, partners, and the market. Agents take the work behind them: the thinking, the memory, and the day-to-day execution.
Relationships, judgment, and decision. Your people work at the edge — the outward-facing roles no agent should own.
Turns one request into a plan and drives it to done across every team.
Proprietary knowledge and experience stays as company assets and does not leave with the people.
Does the repetitive work across your business systems, around the clock.
The team does the work of a department, without growing headcount.
Routine work runs overnight and finishes before anyone logs in.
When people move on, the institutional memory stays behind.
The operating system for the AI-native enterprise.
WorkOS turns one request into a governed plan and runs it across your systems of record — the reasoning, the memory, and the day-to-day execution behind your people.
Simple interface with enterprise-grade agentic kernels
A governed capability runtime at the core — the harness plans, the capability kernel is the one governed exit for every action, and enterprise memory grounds each step from beside the path. One horizontal layer beneath your systems of record, not a chatbot bolted on top.
Governance and trust wrap every layer — tenancy, approvals, and audit enforced at every boundary.
Enterprise AI stalls in the pilot.
Work changes only when AI is accountable to the systems your enterprise already runs on.
What your team actually touches.
Four surfaces on one governed platform — from the question to the audit.
Ask for work in plain language.
The AI Personal Assistant takes the goal, drafts a plan, orchestrates the workers, and reports status. No prompts to engineer, no new tools to learn.
Safe by default — the assistant acts only within your written policies — anything consequential waits for sign-off.
One specialist for every job.
Each specialised worker takes instructions and uses tools to execute — permission-scoped, approval-gated, and audit-logged by default.
Least privilege — each worker carries only the permissions its job needs.
The steps that matter wait for you.
You stay in command of the actions that matter. Those runs pause, show exactly what will change, and move only when someone signs off.
Your rules — approval thresholds are set by your team, in plain policies.
Who, what, when, and why — on the record.
Every run leaves a complete, exportable record — the goal, the plan, each action, and who approved it. Auditors read it like a ledger.
Nothing to reconstruct — the trail is written as the work happens.
Every phase stands on three commitments.
Governed execution
LLMs plan. Functions execute. Auditors sign off.
Compounding memory
Every run leaves memory the next one stands on.
Humans in command
Autonomy is earned, never assumed.
From the smallest win to an operating system.
Four phases. Each one ends with something running in production — not a slide deck.
Understand
We sit with your leadership and map how work actually flows — where it stalls, and what it costs.
Prove
The smallest win worth having, shipped to production inside your guardrails.
Expand
Each proven workflow earns the next, on the same governed foundation.
Operate
ForthAI WorkOS becomes how the enterprise runs — measured, audited, compounding.