Best enterprise AI agent platforms: 6 options compared

A service agent that reads Salesforce cases and updates Salesforce records has different requirements from an agent that checks an emailed order against SAP and a supplier portal. In the first case, Agentforce already has access to much of the data and logic. In the second, the team has to connect several systems and decide how the agent should handle mismatches between them.

The six enterprise AI agent platforms below cover those different requirements. We compare their tools, permissions, testing and prices, including the extra work each one leaves to your team.

Quick comparison

How we compared these platforms

We reviewed product documentation and pricing in November 2026. These are comparisons of documented capabilities, not hands-on test results or a ranked list. WIQ publishes this article and is one of the products included.

The list covers platforms for building and operating enterprise agents. Model APIs and developer frameworks require a separate evaluation of the identity, approval and monitoring systems your engineers would need to build.

1. Microsoft Copilot Studio

Copilot Studio is Microsoft’s low-code, graphical environment for building and managing AI agents and workflows. It has three building blocks: agents, which hold conversations and complete tasks; workflows; and agent flows, which are deterministic sequences with an authoring experience close to Power Automate. Agents act through prebuilt and custom connectors, and a computer use tool lets an agent operate a Windows application through its interface when no API exists.

For organizations licensed for Microsoft 365 Copilot, internal agents built on the standard harness and used in Microsoft 365 run at no additional cost, subject to fair-use limits. Microsoft customers can manage agent access through their existing identity and security tools. Microsoft Agent 365, generally available since May 1, 2026, adds an agent registry, extends Entra access controls to agents, and provides audit and analytics across agents, with registry sync for AWS Bedrock and Google Cloud announced in public preview at launch.

Billing is metered by feature, and the meters differ widely. In the standard billing rates, a generative answer costs 2 Copilot Credits, an agent action 5, tenant graph grounding 10, and each computer-use step 5 or 15 with a premium model. If a tenant reaches 125% of prepaid capacity without pay-as-you-go configured, the environment’s agents are blocked, including mid-conversation. Microsoft’s desktop flow requirements also state that desktop flows are not supported as a tool in Copilot Studio, so existing Power Automate desktop flows cannot be attached directly as agent tools.

Pricing. Copilot Credit packs cost $200 per month for 25,000 credits, with a pay-as-you-go meter and prepurchase discounts of up to 20%. Microsoft 365 Copilot is listed from $30 per user per month, paid yearly. Agent 365 costs $15 per user per month standalone and is included in Microsoft 365 E7.

2. Salesforce Agentforce

Agentforce is Salesforce’s agent platform for sales, service, commerce and employee work. In Agentforce Builder, builders define subagents, write natural-language instructions for each, and give them a library of actions to choose from. Actions come from existing Salesforce assets: Flows, Apex, prompt templates and MuleSoft APIs. Agents use CRM records and external data brought together in Data 360.

Agent Script lets builders define conditions, loops, transitions and variables, so a fixed policy can be enforced in code while the model handles conversation and interpretation. The builder includes a simulator, full traces showing which subagents and actions fired and how variables changed, and batch tests generated from real interactions. Prebuilt templates cover service, sales development, sales coaching, guided shopping and employee support.

Check whether the Salesforce records contain the fields and history needed for the proposed task. Work that depends on billing, fulfillment or ERP records needs MuleSoft or other integrations, which adds implementation work. Consumption pricing requires forecasting, and Salesforce notes that published estimates exclude Data 360 credits and other consumption services.

Pricing. Salesforce publishes several models. Flex Credits cost $500 per 100,000; a standard Agentforce action uses 20 credits (about $0.10) and a voice action 30. Customer-facing agents can instead be billed at $2 per conversation, though the two models cannot run in the same org. Per-user options include an Agentforce User License at $5 per user per month (requires Flex Credits), Agentforce add-ons for Sales, Service and Field Service at $125 per user per month, and editions from $550 per user per month. Overage is billed monthly in arrears at the contracted rate, and unused credits do not roll over.

3. ServiceNow AI Agents

ServiceNow AI Agents run on the ServiceNow AI Platform, which many enterprises already use for IT service management, HR service delivery and customer service. Agents are built in AI Agent Studio, where roles are written in natural language and agents use flow actions, subflows, scripts and skills as tools. AI Agent Orchestrator coordinates teams of agents toward a goal, and ServiceNow ships prebuilt agents for IT, HR, CRM and security use cases.

Agents act directly on the incidents, requests and cases ServiceNow already stores, under its existing roles and approval workflows. ServiceNow also offers AI Agent Advisor, which analyzes business data in ServiceNow, ranks opportunities by impact and builds agents, a discovery capability that overlaps with dedicated process intelligence tools for work recorded in ServiceNow.

Its governance product inventories agents, models and MCP servers from first and third parties, issues each agent a signed record of what it may do, enforces that scope at runtime, and offers a kill switch. Through Action Fabric, external agents such as Claude, ChatGPT or Gemini can execute governed ServiceNow actions over MCP and A2A.

ServiceNow is easiest to evaluate against requests and cases it already manages. For work that runs mainly in ERP, finance or operations systems, the agent depends on integrations into a platform that is not the system of record. ServiceNow publishes no prices for AI agents or the governance product; both are quote-only.

Pricing. Not published. The AI Agents and Control Tower pages direct buyers to sales.

4. UiPath Agents and Maestro

UiPath combines an agent builder with Maestro, an orchestration layer that coordinates agents, UiPath robots and people across existing systems. An agent in UiPath is defined by a prompt, context such as knowledge bases, tools, and escalation paths that route decisions to people through Action Center. Tools can be existing automations, API workflows, activities, other agents or MCP servers.

Maestro models processes in BPMN 2.0 extended with tasks for robots, agents and sub-processes, with business rules in DMN decision tables that are versioned alongside the model. It records a tamper-evident audit log for the life of each process and places no cap on execution duration, which suits long-running cases such as claims or onboarding. Maestro can also call agents running on other platforms, including Salesforce Agentforce, Google Vertex, Microsoft Azure AI Foundry, Databricks and Snowflake Cortex, plus any agent that supports A2A. For screen automations, the Healing Agent recommends or applies fixes when a UI changes. UiPath’s agent documentation is direct about scope: it recommends deterministic automation for tasks with strict accuracy, legal, financial or regulatory constraints.

Using Maestro requires process modeling in BPMN, robot infrastructure where robots are involved, and an Orchestrator tenant. Maestro requires several services to be enabled, including Orchestrator, Actions, Integration Service and Data Fabric. A team new to UiPath would need to set up those services as part of its first deployment.

Pricing. Partially published. Automation Cloud Basic starts at $25 per month, but BPMN orchestration is not included in Basic; Standard, which includes agent and robot orchestration, and Enterprise are quote-only. Healing Agent is an add-on in Standard and included in Enterprise.

5. Workato

Workato calls its agents Genies. They run on Workato’s integration and automation platform and use approved connectors and recipes to carry out actions. A Genie is built in Agent Studio from instructions, skills, workflows and grounding data. Workato says agents can act and run workflows only through approved skills, so administrators control the actions available to each agent.

Workato says Genies authenticate the user at the moment of action and execute on that user’s behalf, and that agent actions inherit the authenticated user’s identity, with role-based access control and audit trails. Through Enterprise MCP, existing recipe functions and skills can be exposed as MCP servers to Claude Desktop, ChatGPT, Cursor and other MCP clients, so the same governed actions serve Workato’s own agents and outside ones. Prebuilt Genies cover sales, IT, marketing, HR, customer experience, support and security.

Agent Studio and Workato GO are part of the top Workato ONE edition, and activity audit and data masking start at Enterprise MCP; the Standard plan includes 30-day log retention. Workato publishes different connector counts on different pages, so confirm the specific connectors and operations a workflow needs. A team new to Workato will also need to learn and maintain its integration platform.

For applications without APIs, Workato lists RobotiQ RPA as a separate add-on. Include it in the quote if the agent needs to operate screens.

Pricing. Not published. Plans are Standard, Business MCP, Enterprise MCP and Workato ONE, with usage-based pricing measured in billable tasks or credits depending on the contract.

6. WIQ

WIQ is an AI agent platform for enterprise operations that starts with discovery. Teams can upload SOPs or screen recordings, or capture work as it happens with a browser extension and desktop app. WIQ combines those inputs with systems of record and expert answers to reconstruct each process and measures active handle time per process. With live capture, it identifies automation opportunities after about seven to ten days of normal work. Admins scope capture with allowlists and blocklists by app and domain and with time windows, and individual users can start, pause and stop their own capture.

The output of discovery is a blueprint generated from recordings and other process inputs. Each blueprint breaks the process into ordered steps, marks each step as ready for an agent, manual or unverified, flags where human input is required, and lists the tools, guardrails and escalation paths, with an estimate of time saved.

After a blueprint is approved, WIQ deploys it either as a WIQ agent or through Claude, Microsoft Copilot, OpenAI, Workato, n8n or any MCP-compatible platform. Over MCP, the target platform can query WIQ’s process analytics and check whether the tools a blueprint needs exist in that environment. Agents can run locally where the work happens or in the customer’s cloud, with checkpoints for human review and conformance requirements per session.

On its security page, WIQ states SOC 2 Type 2 compliance, TLS 1.2 in transit and AES-256 at rest, and handling of captured data under the customer’s residency and retention policies.

Skan and Mimica also build agents from observed processes. When comparing them with WIQ, check how each handles the step between recording work and running an agent: what the process owner reviews, how corrections are made and which platforms can run the result.

WIQ does not publish prices. Buyers should ask for references and test a workflow in a proof of concept. Live capture needs about a week or more of normal work before WIQ identifies opportunities, although teams can start from uploaded SOPs and recordings. When deploying to another platform, the agent can only use tools available there, so connector depth for SAP, ServiceNow or other systems depends on the chosen runtime. WIQ’s documented offering does not include event-log process mining or an RPA studio.

Pricing. Not published. WIQ offers a proof of concept on one workflow.

Side-by-side comparison

How to choose

Give each vendor the same process to demonstrate. Include the records it must read, the changes it must make and an exception that requires approval. If a Salesforce case depends on a billing record in another system, include that lookup rather than testing only the Salesforce steps.

For an existing UiPath team, test whether the agent can call the robots already doing part of the work. For Workato, check the exact connector operations and user permissions. If the team cannot yet describe the process, use process intelligence or task mining to document it before comparing agent builders.

Ask for a quote based on the same monthly workload, including retries, integrations and human review. Microsoft’s per-action credits and Salesforce’s per-conversation pricing cannot be compared from the unit prices alone.

Common questions

Should we buy a platform or build on a model API?

A platform supplies identity, connectors, approvals, logging and monitoring. Building on an API gives engineers more control but requires them to supply those controls and maintain them. Compare that maintenance work with the license and integration costs of a platform.

Can we use more than one platform?

Yes, and many enterprises will. Agent 365, ServiceNow’s governance product and UiPath Maestro all address agents from other vendors. Decide where your team will keep the agent inventory and review activity across platforms.

How long does a first deployment take?

Inside an incumbent platform with clean data and an existing workflow, a narrow agent can be piloted in weeks. Cross-system work takes longer because of integrations, permissions and testing. An undocumented process adds a discovery phase before any of that.

What is an enterprise AI agent?

An enterprise AI agent uses a language model to choose and call tools in business systems. Our enterprise AI agents guide explains the mechanism, with examples from C.H. Robinson and Octopus Energy.