Stop Buying More Software. Start Hiring AI Employees.

Sign up, and Ema starts working: It discovers the applications your business runs on, from HRIS and payroll to identity, devices, and collaboration, and connects to hundreds of common enterprise applications.

Then meet your new AI Employee team. Say "help set up our new designer, she starts Monday," and an AI employee turns that one sentence into a dozen coordinated actions across payroll, identity, devices, and email. It plans the steps, runs them, checks its work, and tells you when it's done.

When Ema is asked a new query that doesn’t fit into any existing workflow, Ema creates a new workflow dynamically, drawing on thousands of HR, IT, and Finance templates. Ema’s AI Employees also act without waiting to be asked: put them on a schedule, or have them watch your systems and act when something changes.

The result is real value on Day 1, supercharging the speed at which your company operates. At Wipro, this is in action for over 250,000 global employees. HR response times have fallen from five days to just seconds with Ema’s AI Employees. Meanwhile, HROps costs also fell by half, while employee satisfaction rose by 20%.

Most workplace assistants answer your question and file a ticket for the rest. But Ema’s AI Employees actually do the job, freeing human teams up for more meaningful work.

Behind the hubs sits Ema Autopilot: a single pane of glass over every AI Employee you run, including the ones Ema didn't build.

Ask it for anything: if a governed AI Employee exists for the task, Ema Autopilot puts it to work. And if an AI Employee doesn’t already exist, Ema Autopilot creates one with a single prompt and works your applications directly, so you don’t hit dead ends.

When something calls for human judgment, it finds the right team, briefs them, and asks for help. It remembers your preferences and history, so the tenth request is faster than the first.

The door is wherever your people are: Teams, Slack, the web, or even out loud. At one of the world's largest IT services companies, Ema's voice AI Employees answer over a million service-desk calls a year, in more than fifteen languages. Ninety percent of them are resolved before the caller hangs up. One of the world’s largest automakers runs Ema on its factory floor, where workers never touch a laptop; they ask in their own language, and HR answers.

Softwares needs constant manual updates to stay up-to-date, and even then only assist within rigid confines. But employees, human and AI alike, can keep learning and growing on their own.

From Day 1, Ema builds a context graph of your business: org structure, policies, terminology, and how work actually flows. Every execution deepens it and every correction refines it, so your AI Employees improve inside your business, on your work.

Your HR lead can spot where an AI Employee underperforms, correct it against real cases, and ship the fix without filing an engineering ticket.

Underneath is EmaFusion™, our patented model fusion layer, which works across hundreds of AI models and picks the blend with the highest accuracy at the lowest cost, so you are never locked into a single model. When the frontier advances, your AI Employees advance with it.

Frontier assistants are remarkable, and your teams probably already use them. But an assistant answers to one person, and one chat at a time.

To be enterprise-grade yourself, you have to build an entire platform: integrations, governance, guardrails, evaluation, and audit.

We’ve spent years building exactly that, and to the highest standards—we’ve thought of everything

You wouldn't hand a new hire the keys to every system on day one, neither does Ema.

With Groups, administrators decide who works with which AI Employees. Each group carries its own knowledge and connections, and editing rights are separate from usage rights, so the company runs on one governed version instead of forty stale copies. It's all managed in plain language: tell Autopilot to give HR, and only HR, the compensation analyst , and it's done and logged.

Permissions run four levels deep, and every AI Employee acts with your own credentials: if you can't see a system, neither can Ema on your behalf. You can bring your own tools too, since any MCP server, admin-reviewed and connected with each user's own sign-in.

Privacy sits in the core of Ema’s architecture rather than in a policy document:

• Ema is compliant with SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, and other world-leading security and privacy protocols, with on-premise and air-gapped deployment when data can't leave the building.
• PII is detected and redacted automatically, and every action leaves an immutable audit trail and every decision has complete lineage.

There is also something a general model can’t give you: domain depth. Ema's AI Employees arrive pre-trained on the disciplines of HR and IT, with expertise built over years of working with Global 2000 enterprises and partners, and sharpened by our advisors, leaders who have run these functions for some of the world's largest employers.

The guardrails, the escalation instincts, and the sense of when a benefits question is really a pay dispute are all in there before Day 1. Ema's AI Employees are hired once, governed centrally, and improve for everyone at once.

The only capability left to build after creating an agentic AI employee that can actually get work done was the opposite—accounting for the judgement of when it shouldn’t do the work.

This is how Ema’s Human-in-the-Loop mechanism works: Ema's HR AI Employees begin by understanding the enterprise’s HR guardrails. A benefits question may be answered in seconds, but a pay dispute, a medical accommodation, or a conflict with a manager is a different matter, and Ema knows this.

It brings the right human in, supplying context in hand to the new person, so the employee never has to tell their story twice. When a person takes over, they inherit that context along with a drafted resolution. Ema hands them the context and a drafted resolution, so your experts can move faster too.

Approvals sit wherever you place them, whether that means every offer letter, every elevated access grant, or any action a person should sign.

When AI Employees do the work, much of the software you bought to manage the work becomes unnecessary.

The standalone ticketing system starts to look like what it always was: a workaround for software that couldn't do the work itself. Entire categories of ticketing and workflow SaaS will quietly become redundant. Nothing needs ripping out either, since Ema works your existing ticket desk in pass-through while it makes itself indispensable.

A 5,000-person company shouldn't need a systems integrator and an eighteen-month roadmap. Hire your first AI Employee this afternoon, and let go of point solutions one workflow at a time.

A new workforce deserves a new economic model.

Seat-based pricing is absurd for software whose whole point is that humans stop operating it, and metered tokens leave your CFO lying awake wondering what an AI experiment costs this month, so we rejected both.

Ema charges for completed work, defined the way your business defines it: an onboarding completed, a ticket resolved, a call handled. You pay for the work that actually gets done.

We digitized paper and called it software, then moved it to the cloud and called it SaaS. The tools got better, yet people still carried the work.

AI Employees end that pattern: picture the company where nobody's afternoon dies in a ticket queue and Monday's idea ships by Friday. That company moves differently, and it isn't five years away, because it started this morning.

In 2011, software began eating the world. Today, AI Employees begin eating software. With this launch, HR and IT come first, with Finance next, and in time every function will have its hub, until "installing software" sounds as dated as "renting a mainframe."

Start free at try.ema.ai and hire your first AI Employee today. Your team has better things to do than run software, and now, you can try Ema today afternoon.

Your team has better things to do than run software. Now, so does your software.