Ema

Ema is now a Horizon 3 Market Leader in the HFS Horizons: Agentic Technology 2026. HFS Research evaluated 12 companies shaping enterprise agentic transformation across hyperscalers, SaaS platforms, and AI-native players. Seven made it to Horizon 3, the highest tier. Ema is recognized alongside Amazon Web Services, Google Cloud, Microsoft, Salesforce, ServiceNow, and Rhino.ai. Horizon 3 signals a shift already in motion: • Software moving from tools to services, delivering outcomes end-to-end • Early proof that enterprises are adopting outcome-based models, not just licenses • Ecosystems evolving through co-creation, new revenue streams, and cross-enterprise value What HFS recognized in Ema: • A production-grade agentic platform live across 70+ enterprises • AI Employees executing multi-step workflows across HR, support, IT, and finance • Core innovations: Generative Workflow Engine™, EmaFusion™, and 200+ pre-trained agents that plan, execute, and adapt in real time • Built-in governance and security with SOC 2, HIPAA, GDPR, ISO 27001, and ISO 42001, with full auditability and human-in-the-loop controls • A clear move to Services-as-Software with 50+ productized AI Employee capabilities, fixed pricing, and faster time to value The outcomes are already in production: - 80% autonomous ticket resolution. - 70% HR efficiency gains. - 90% accuracy. - Nearly $12M in savings from a single deployment. - Up to 40x ROI. One point from HFS stands out. Every company in this cohort has production-ready agentic capabilities. The constraint is no longer technology. It is how enterprises adapt their operating models, data systems, and governance. That is the layer Ema was built for. Read the full report to see how the category is evolving. Link in comments. Phil Fersht David Cushman Niti J. Jason Dann

Digital workplaces are still optimized for tickets, not outcomes. AI Employees change that, resolving requests end-to-end across systems, without manual handoffs or delays. If you’re looking to move from ticketing to autonomous resolution, let’s talk. Book a meeting with our team.

Enterprise AI is moving from pilots to production. AI Employees that execute workflows end-to-end are now live across HR, Finance, and IT, driving measurable outcomes in weeks, not quarters. If you’re evaluating how to scale this inside your organization, book time with us.

The recruiter of 2027 isn't being replaced by AI. They're being freed by it — from the 60% of their week spent on scheduling, screening, and administrative coordination, and into the work that actually requires human judgment. But getting there requires getting specific: which workflows, which governance guardrails, which metrics actually matter. Join senior leaders from AMS, PwC, Ema, and Everest Group for a live conversation on what's working right now — and what's coming next.

You can’t build an agentic future by gluing together SaaS copilots and various verticalized AI agents. Agentic systems thrive in cross-functional, horizontal setups. That means they are ideally both: - Standalone products that deliver out-of-the-box business value - A platform that unifies data, context, memory—combining interoperability with enterprise-grade security and trust Most current efforts fail because they lean too far in one direction. They're either: - A framework-heavy platform that’s powerful but slow and expensive to customize - A bunch of verticalised AI tools that can’t reason or add value beyond their niche But agentic AI does best when it acts as a tightly coupled system, where every agent becomes more useful as others are added. This technology is meant to be neither just a product, nor just a platform—but the best of both worlds. That’s the idea behind Ema Unlimited: composable AI Employees built on a shared platform—specialized, easily interoperable, fast to deploy. Read more in our latest blog, linked below.

We're going to be live on The Information's TITV segment at 10 am PT today, talking about AI agents and Ema's new AI Employee Builder. Can't think of a better platform to discuss the state of the art in enterprise AI — don't forget to catch us there.