Snapshot
Continue to About ↓- What it does
- Ema is an enterprise agentic-AI platform for building and running "AI Employees" — multi-agent systems that automate cross-system workflows across HR, IT, finance, sales, and professional services.
More detail
- Business users can describe a workflow in plain language and assemble a working agent from prebuilt agents, 250+ integrations, and human-in-the-loop approval controls, with RBAC/ABAC, PII redaction, and audit trails.
- Best for
- Mid-size to large enterprises that need to automate high-volume, cross-system back-office and front-office workflows (HR hire-to-retire, IT service management, procure-to-pay, customer support) under strict governance.
More detail
- Also suited to professional-services firms building and selling agentic solutions to clients.
- Pricing
- Pricing is not publicly disclosed.
More detail
- The official site states "Outcome-based pricing" with "No unused module, No tokenmaxxing," and offers a free trial and demo booking, but no price list, tiers, minimums, or fee schedule appear in the official corpus.
- Whether platform/management fees, per-agent or pe
- Main limitation
- Individuals, hobbyists, or consumer/prosumer users — the product is scoped and priced for organizational deployments (single-tenant, on-prem, air-gapped).
More detail
- Buyers who need published list pricing or a self-serve transparent rate card will not find it; pricing is outcome-based and sold via trial/demo.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Ema is an enterprise agentic-AI platform for building and running "AI Employees" — multi-agent systems that automate cross-system workflows across HR, IT, finance, sales, and professional services.
- Business users can describe a workflow in plain language and assemble a working agent from prebuilt agents, 250+ integrations, and human-in-the-loop approval controls, with RBAC/ABAC, PII redaction, and audit trails.
What it helps with
- Employees spending time on routine HR, IT, and payroll work across the hire-to-retire lifecycle.
- SaaS sprawl and unused software modules driving up enterprise software spend.
- Fragmented systems that require employees to navigate many tools instead of a single front door.
- Slow deployment cycles for enterprise AI automation that typically require engineering resources.
- Manual compliance monitoring, RFP response drafting, and client-presentation creation in professional-services firms.
- Invoice processing and expense reconciliation work in finance procure-to-pay.
- Industry-specific administrative workflows in insurance (claims, fraud, customer interactions) and healthcare (patient i
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| AI Employee Builder / Generative Workflow Engine (GWE) | Yes | Conversational, no-code creation of AI Employees from natural-language intent; described as orchestrating 100+ specialized agents and 1,000+ actions. |
| Prebuilt AI Employee library | Yes | Agent counts differ across official pages ("30+" on the GWE page vs "50+" on the Microsoft Marketplace listing), including Agent Assist, Proposal Manager, Compliance Analyst, and AI SDR. |
| EmaFusion™ multi-model routing | Yes | Combines 100+ LLMs in real time per request for accuracy, cost, and latency, with automatic failover across models. The "up to 20× lower cost" claim is first-party marketing and not independently verified. |
| Prebuilt integrations | Yes | 250+ prebuilt integrations spanning HRIS, ITSM, payroll, and custom apps, with access via Teams, Slack, and voice. |
| Governance and security controls | Yes | RBAC/ABAC permissions, PII detection and redaction, immutable audit trails, and configurable human-in-the-loop approval chains. |
| On-prem and air-gapped deployment | Yes | Option to run Ema entirely in the customer's environment, fully isolated. |
| Compliance certifications | Yes | Vendor claims SOC 2 Type II, ISO 42001, ISO 27001, ISO 27017, ISO 27701, EU AI Act, GDPR, and CSA STAR; HIPAA and NIST AI RMF are also cited on some pages. Certifications were not independently validated in the gathered sources. |
| Transparent public pricing | No | No price list, tiers, or rate card published; pricing is described only as "outcome-based" and sold via trial and demo. |
| Independent third-party reviews | Unknown | No independent review articles, customer forum threads, or third-party comparisons were found in the gathered research. |
| Published deployment timeline | Limited | Conflicting first-party claims: "Live in days, not months" on the homepage versus "go live in under 8 weeks" on the employee-experience page; treat actual timeline as variable. |
Bot trust
How confidently AI systems can verify this profile from public evidence.
74of 100
ChatGPT—/100
Claude74/100
What bots could verify
- • Independent customer datasets analyzed from Arbolus (41 accounts, NPS 25), FeaturedCustomers, and HFS Research case studies.
- • Critical claim corroboration identifying that headline metrics (180% NDR, $150M bookings) trace solely to first-party press releases.
- • Thorough material risk disclosure covering frontier-model dependency, agent liability in regulated workflows, and customer-investor conflicts.
What weakens trust
- • Complete absence of public pricing tiers, fee schedules, or cost transparency.
- • No audited financials, published agent error or hallucination rates, or public service-level agreements (SLAs).
- • Prominent customer logos (such as Microsoft, Google, and PwC) remain uncorroborated by independent third-party sources.
Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- ema.ai
Technical profile details
Record ID
da23293f-fdc0-4a03-a226-dfb0d3f0526bCanonical URLhttps://profiles.scribble.network/listing/ema-da2329