AI Agent Index
ByHeather MacAvelia·Independently reviewed·Published Mar 25, 2026·Updated Jul 30, 2026
Independently verified against live vendor data on Jul 30, 2026.

Enterprise agentic AI for HR, IT, Finance and Procurement back offices. MCP and A2A built in, priced per resolved task. 70%+ tickets auto-resolved across 500+ enterprises. Custom pricing.

How we scored it

Autonomy

5/5

Integrations

5/5

Pricing clarity

2/5

Evidence

4/5

Setup

2/5

The facts

From

Custom

custom

GitHub

Stars

G2

4.6 / 5

151 reviews ↗

MCP

⚡ Server + client

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Leena AI is an enterprise agentic AI platform built for back-office automation across HR, IT, Finance and Procurement. Founded in 2018, it states it serves 500+ global enterprises and powers 20M+ employees, with a published stat band of 70%+ tickets auto-resolved, 4 to 10x measured ROI and 45 days to go-live. Rather than shipping fixed personas, the platform is organized around AOPs, or Agent Operating Protocols. Leena describes an AOP as being to an AI Colleague what an SOP is to a human: explicit steps, owners, approvals and actions that the process owner edits without an engineering ticket. AI Colleagues are assembled by the customer from AOPs, a registry of pre-built tools, and connected knowledge sources. Interoperability is the clearest differentiator. Leena AI ships MCP and A2A as built-in capabilities rather than add-ons, and works in both directions. Any MCP client can call a Leena AI Colleague, with the vendor instructing customers to enable the MCP server, generate OAuth credentials and connect an agent from Copilot Studio or watsonx Orchestrate. MCP also ships as a plug-and-play skill that drops into any AOP as a normal step, so Leena can call outward as well. A2A, built on Google's open reference implementation, lets Leena delegate to and receive delegation from other vendors' agents including Copilot, Joule and Agentforce, and a RESTful API fallback covers platforms that have not adopted MCP. Every call carries a real user identity rather than an anonymous machine token, scoped per bot and tracked as a first-class channel in analytics. The integration layer spans 200+ enterprise systems of record and 1,000+ pre-built tools, built over eight years and deployed across 500+ enterprises. Leena AI names Microsoft, SAP, Salesforce, ServiceNow, Oracle and Workday as technology partners and is explicit that it is owned by none of them, positioning itself as vendor-neutral and extending agents customers already own rather than replacing them. Knowledge grounding connects to SharePoint, Confluence, Google Drive, Box and websites, inheriting source permissions rather than copying content. Pricing is quote-only, and there is no public pricing page. The basis is unusual and worth knowing before a sales call: Leena AI prices per outcome rather than per seat or per token, stating that customers pay for resolved tasks rather than for traffic, with rates set in the contract. That model aligns cost with the auto-resolution rate, but it also means budget cannot be modeled without a full sales engagement, and no rate is published anywhere. Deployment options run from shared multi-tenant to single-tenant to a private VPC inside the customer's own AWS, Azure or GCP environment, across 14+ regions. Leena AI is not suited to organizations below roughly 1,000 employees. The platform is priced, scoped and architected for Fortune 500 back-office scale, and the AI Colleague model pays off where thousands of employees generate repetitive tickets across several departments at once. Mid-market teams with a service-desk need should evaluate Freshservice or a smaller ServiceNow tier, and organizations wanting a focused HR-only tool should look at a dedicated recruiting or talent product instead. Activating AI Colleagues across HR, IT, Finance and Procurement at once also needs cross-functional alignment between departments that rarely move at the same pace. As of Q3 2026, MCP and A2A are confirmed as built-in product capabilities and the orchestration layer is model-agnostic, routing between Claude Opus 4.8, Leena's own WorkLM, GPT 5.5, Llama 4 and Gemini 3.5. Leena AI states it has been a Gartner Leader in agentic AI for three consecutive years, though the vendor's site does not name the specific report or year. Security posture per the vendor's trust and security page: SOC 2 Type II, ISO 27001, HIPAA, GDPR and CCPA, alongside off-list SOC 1, ISO 27017, ISO 27018, ISO 27701, LGPD, VCDPA and CSA STAR, with full evidence available under NDA. Leena AI states that customer data is never used to train models.

Pricing

custom

Segment

enterprise

Setup

moderate

Verified

Jul 30, 2026

Transparency

Quote Only

Contract

Annual Only

Data training

Not Trained

Human in loop

Required

Capabilities

ticket-resolutionworkflow-builderautonomousmultilingualscheduling

Pros & Limitations

Editorial assessment

Pros

  • MCP and A2A work in both directions: any MCP client can call a Leena AI Colleague, and MCP also ships as a plug-and-play skill that drops into an AOP as a normal step, with a REST API fallback and real user identity carried on every call.
  • Pricing is per resolved outcome rather than per seat or per token, which aligns cost directly with the auto-resolution rate instead of with headcount or traffic volume.
  • 200+ enterprise systems of record and 1,000+ pre-built tools in one integration layer built over eight years, with Microsoft, SAP, Salesforce, ServiceNow, Oracle and Workday as named technology partners and no OEM ownership.

Limitations

  • Quote-only pricing with no public rates and no pricing page, so the per-outcome rate cannot be modeled without a full sales engagement.
  • Scoped for Fortune 500 back-office volume, which puts it out of reach for organizations below roughly 1,000 employees.
  • Activating AI Colleagues across HR, IT, Finance and Procurement at once requires cross-functional alignment between departments that rarely move at the same speed, which can extend the vendor-stated 45-day go-live in practice.

Technical Details

Deployment
cloudwebself-hosted
Model architectureModel-agnostic orchestrator over proprietary WorkLM plus Claude Opus, GPT, Llama and Gemini
Avg setup time45 days to go-live, vendor-stated
Autonomous rateLeena AI Colleagues run from AOPs, which set the steps, owners, approvals and fallbacks for a process. They subscribe to time and events rather than waiting in a chat window, run on a schedule, trigger on system events such as a new hire in the HRMS, and pause for approval before resuming with full context. The vendor publishes a 70%+ auto-resolution rate for back-office tickets and prices per resolved task. High-risk actions are tool-locked and require explicit authorization, and the AOP decides when to escalate, gate or hand off to a person.
Integrations
WorkdaySAPServiceNowSalesforceOracleMicrosoft TeamsSlackSharePointConfluenceBoxGoogle DriveMicrosoft Copilot StudioIBM watsonx Orchestrate
Security
SOC 2 Type IIISO 27001HIPAAGDPRCCPA

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Rating

4.4/ 5

Editorial score

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Recognition

MCP Server VerifiedListed 2026
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Industries

EnterpriseB2BSaaSHealthcareRetailManufacturingTelecomReal EstateEducationEnergyLogistics

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