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ZeaIQ next to eight agent and automation platforms, from Copilot Studio and UiPath to Agentforce and LangGraph, on what decides whether agents reach production: controls outside the model, robots that click, documents with review, voice, ROI per agent and where it all can run.
8 platforms compared18 capabilitiesA linked source for every ratingReviewed
Scorecard
Built in means it ships in the product you buy. Add-on means another licence. Code means your developers build it with the framework. Select any rating to see the evidence next to ZeaIQ's.
18 capabilities, ZeaIQ and 8 platforms
Select a rating for its evidence and source
Scroll the table sideways to see every platform
| Capability |  One runtime | MicrosoftCopilot Studio + Power Automate | UiPathAgentic automation | AgentforceSalesforce | GoogleGemini Enterprise + Agent Platform | OpenAIChatGPT agents + Agents SDK | n8nWorkflow automation | CrewAIFramework + CrewAI AMP | LangGraph+ LangSmith |
|---|---|---|---|---|---|---|---|---|---|
| Build | |||||||||
| No-code agent builder | |||||||||
| Multi-agent teams | |||||||||
| Workflows with human approvals | |||||||||
| Automate | |||||||||
| Browser and computer-use robots | |||||||||
| Document intelligence with review | |||||||||
| Apps, dashboards and decks | |||||||||
| Voice and phone agents | |||||||||
| Govern | |||||||||
| Policy rules outside the model | |||||||||
| Versions, publish gates, kill switch | |||||||||
| Identity, access and audit | |||||||||
| Operate | |||||||||
| Evals, tracing and cost | |||||||||
| ROI per agent | |||||||||
| Connect & deploy | |||||||||
| Channels | |||||||||
| Open protocols | |||||||||
| Embed in your own apps | |||||||||
| Bring any model | |||||||||
| Run it anywhere | |||||||||
| Marketplace and private catalog | |||||||||
| Built inof the 18 shown | 18 | 13 | 15 | 12 | 10 | 6 | 9 | 8 | 9 |
Where ZeaIQ pulls ahead
Governance outside the model
Policy rules run as middleware on every tool call, on every surface: block the call, hold it for approval or allow it. Write a rule in plain English, review what it compiles to and dry-run it before it goes live.
Written as
“Credits over $100 need approval from a supervisor.”
when tool = issue_credit and args.amount > 100 USD on chat, whatsapp, teams, api then require_approval(role="supervisor")
Held: issue_credit · $240.00
Customer Service Concierge · WhatsApp · waiting 2m
Browser robots
Teach a task by doing it in a live browser. ZeaIQ records a recipe with semantic locators that replays with no model calls, and hands over to an AI agent on the same page when a site changes.
Recipe · Supplier remittance
0 model callsThe page layout changed at step 3, so the AI agent took over on the same page and finished the run.
Document intelligence
Extraction templates for cheques, transfers, standing orders, direct debits, mail and more, with per-field confidence and cross-field checks such as the amount in words matching the figures. Reviewers see only the flagged fields, beside the source, inside the workflow that posts the result.
Cheque · Doc Extract
Needs review · 1 fieldThe amount in words doesn't match the figures, so only that field goes to a reviewer.
Agent Ops
Every turn on every surface lands in one run ledger: model, tokens, cost, latency, tools and whether a person was needed. Set a value baseline once and Agent Ops reports hours saved, FTE equivalent, net value, cost per case and straight-through rate.
Agent Ops · Value
Illustrative figuresNet value per year
$360k
After AI costs. In production, Agent Ops works this out from real runs against your baseline.
Voice and phone
NewVoice chat and realtime Live on every chat surface, plus inbound and outbound phone agents on your own SIP trunk (Twilio, Telnyx, e&, du or any SIP trunk) through self-hosted LiveKit. No third-party voice-agent platform sits between your callers and your agents.
Inbound call · Customer Care
02:14Caller on hold · the refund needs approval
Sent to the Customer Care channel in Microsoft Teams
Supervisor console:ListenWhisperTake over
Open by design, deployed anywhere
Call agents and teams as OpenAI-compatible models, use them as MCP tools, discover them over A2A, or embed them with the TypeScript, Python and React SDKs. Run the platform as SaaS, in your own cloud or fully air-gapped.
from openai import OpenAI
# Any OpenAI client works — point it at ZeaIQ.
client = OpenAI(
base_url="https://your-instance.zeaiq.ai/v1",
api_key=ZEAIQ_API_KEY, # scope: agents:openai_compat
)
reply = client.chat.completions.create(
model="agent:6d85c1fb-0dc7-4529-a793-74d7e1d7c7d4",
messages=[{"role": "user", "content": "Summarize today's payment exceptions"}],
stream=True,
)Describe an internal app or site, watch it build, then publish. Apps answer questions from your databases with each viewer's own access.
On-brand decks from your documents, knowledge bases and connected data, with sources in the speaker notes.
Install agents, teams and workflows as portable packages, or run a private catalog with admin approval.
The agent writes a plan, ticks it off and keeps working within the time and token limits you set.
Head-to-head
Each comparison says where ZeaIQ pulls ahead, where the other platform is strong, and what you would add to match ZeaIQ.
All 8 comparisons
Enterprise suites
Copilot Studio wins inside Microsoft 365. ZeaIQ wins when agents must run on your infrastructure, on your choice of models, under one set of controls.
ZeaIQ pulls ahead on
Choose Microsoft if your processes live almost entirely in Microsoft 365 and the Power Platform, you already hold Microsoft 365 Copilot and Power Automate licences, and Microsoft-hosted SaaS meets your residency needs.
Read the comparisonAutomation & RPA
UiPath has the deeper RPA estate. ZeaIQ is the faster route to governed agents that talk, take calls and plug into everything else.
ZeaIQ pulls ahead on
Choose UiPath if you run a large estate of desktop and legacy-application robots, and want agents added into the RPA platform you already license.
Read the comparisonEnterprise suites
Agentforce is the pick for CRM-centred service and sales. ZeaIQ is the pick when processes cross many systems and must run on your terms.
ZeaIQ pulls ahead on
Choose Agentforce if your customer processes live in Salesforce, you want agents that act directly on CRM records and Flows, and Hyperforce public cloud fits your residency needs.
Read the comparisonEnterprise suites
Google's stack suits teams committed to Google Cloud and ready to build. ZeaIQ suits teams that want the whole lifecycle in one product, on any infrastructure.
ZeaIQ pulls ahead on
Choose Google if you are standardised on Google Cloud and Workspace, have developers for ADK, and want Google's agent identity, registry and gateway controls.
Read the comparisonEnterprise suites
OpenAI is the place to use OpenAI's newest models directly. ZeaIQ is where you run governed business processes on them, or on any other model.
ZeaIQ pulls ahead on
Choose OpenAI if you want ChatGPT's own assistant experience for knowledge workers, or developers who will build directly on OpenAI's API and Agents SDK.
Read the comparisonAutomation & RPA
n8n is a builder's workflow tool. ZeaIQ is a governed agent platform that business, operations and risk teams can all work in.
ZeaIQ pulls ahead on
Choose n8n if you want a low-cost, self-hostable workflow engine with a huge integration library and community templates, and your team is comfortable building flows.
Read the comparisonDeveloper frameworks
CrewAI is great for developers building crews. ZeaIQ is the governed platform that operations and risk teams can run agents on.
ZeaIQ pulls ahead on
Choose CrewAI if your developers want an open-source Python framework with a large community, and you are ready to build the governance, channels and interfaces around it.
Read the comparisonDeveloper frameworks
LangGraph is for teams that want to engineer every agent by hand. ZeaIQ is for teams that want agents in production without building the platform around them.
ZeaIQ pulls ahead on
Choose LangGraph if you have a strong engineering team that wants low-level control of agent graphs, and you plan to build the business-facing pieces yourselves.
Read the comparisonNot on the list
Bring the tool you use today and one real process. We build it on ZeaIQ with you and put the two side by side, on your data.
How we compare
If a competitor has a capability, it gets the credit. Spotted something out of date? Write to info@zealogics.com and we will correct it.
Every competitor rating links to the vendor's own documentation, product pages or release notes.
A capability that needs a separately licensed product is marked Add-on, not Built in.
Products change fast. We re-check every rating each quarter and after major releases.
Copilot Studio is strongest inside Microsoft 365 and is Microsoft-hosted only. ZeaIQ also publishes into Teams and SharePoint, but runs in your cloud or air-gapped, on nine model providers, with policy rules on every tool call, phone agents on your own carrier, and every agent served over OpenAI-compatible, MCP and A2A APIs.
No. ZeaIQ workflows and agents can call existing automations through their APIs, so your robots keep running while new agentic processes start on ZeaIQ, with documents, browser robots, voice and approvals on one runtime.
You can, and engineering teams that want full control often do. You then build and run everything around the agent: the builder, approvals, policy enforcement, evals, audit, channels, voice and hosting. ZeaIQ ships those, and developers still get APIs, SDKs, MCP and A2A.
Yes. Choose multi-tenant SaaS, a dedicated single-tenant instance in your cloud region on Docker Compose or Azure Kubernetes Service, or an air-gapped install with signed licences verified offline and local models through Ollama.
Nine providers: OpenAI, Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure AI Foundry, Ollama, Core42 Compass and ZeaLLM. Each agent picks its own model, with failover at call time, so you can mix frontier, private and sovereign models.
Policy rules run outside the model on every tool call and can block it or hold it for a named approver, so a prompt can't talk its way past them. Publishing is gated by evals and an approver, a kill switch stops an agent everywhere at once, and every action lands in a hash-chained audit log.
Every competitor was reviewed against its public documentation on 29 October 2026, and each rating links to its source. Products change fast: if something is out of date, email info@zealogics.com and we will correct it.
Map a real use case with our team, build it on your data, and see the governance, ROI and audit views next to the tool you use today.
Product names are trademarks of their owners, used only to identify the products compared. Competitor information comes from each vendor's public documentation, reviewed , and may have changed since. Ratings describe documented capabilities, not performance.