Compare the best no-code AI agent builders for businesses in 2027, including Make, Taskade, Relevance AI, Voiceflow, Zapier, Microsoft Copilot Studio, Botpress and Lindy.
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Last verified: 24 September 2026
The best no-code AI agent builder depends on where the agent needs to operate.
Our current category leaders are:
Best overall: Make AI Agents
Best for agents + projects + internal apps: Taskade
Best for multi-agent AI workforces: Relevance AI
Best for customer-facing voice and chat agents: Voiceflow
Best for the widest SaaS integration ecosystem: Zapier / AI by Zapier
Best enterprise builder for Microsoft organisations: Microsoft Copilot Studio
Best visual customer-agent builder: Botpress
Best ready-made AI teammate: Lindy
The most important distinction is that “no-code” does not mean “zero implementation.”
A business still needs to define:
what the agent may access
what it may change
which information it can trust
which actions need approval
how failures are handled
who monitors the system
how much each run costs
The right no-code platform removes software-development friction. It does not remove governance.
Affiliate disclosure: Decentralised News may earn a commission when readers join Make or Taskade through links in this article. Commercial relationships do not determine inclusion or ranking.
A no-code AI agent builder lets a user create an AI system that can reason, use information and take actions without writing a conventional software application.
A useful agent may:
receive a request
search company information
decide what must happen
call one or more tools
update an application
generate a response
request human approval when necessary
The difference between an AI chatbot and a true agent is therefore not merely better conversation.
It is controlled action.
The DN No-Code Agent Framework evaluates six core areas.
Can a business user create and edit the agent without needing a developer?
Can the agent use company files, databases, web sources and approved context?
Can it manage branching, loops, scheduled jobs and multi-stage workflows?
Can the agent work with the applications the business already uses?
Can administrators manage permissions, approvals, models and activity?
Does the platform provide enough useful capability before implementation and usage costs become disproportionate?
Make AI Agents is our overall winner because it combines agent reasoning with visible workflow automation.
The agent does not sit in a separate black box.
It operates inside Make’s Scenario Builder, where the user can inspect:
tools
decisions
routing
conditions
external applications
deterministic steps
error handling
approval points
Make says its agents can operate across more than 3,000 applications and can be built without coding. The current AI Agents product runs directly inside the visual automation canvas and includes step-by-step reasoning visibility.
Most businesses do not need an agent that simply talks.
They need one that can safely participate in an actual business process.
For example:
New lead arrives
→ AI interprets the request
→ CRM record is retrieved
→ company is researched
→ lead is classified
→ salesperson is selected
→ draft reply is generated
→ human approves high-value opportunities
→ CRM is updated
This is where Make becomes unusually useful.
Make currently offers:
Free: up to 1,000 credits per month
Core: $12/month at the 10,000-credit level
Pro: $21/month
Teams: $38/month
Enterprise: custom
Most normal module actions consume one credit, while some advanced AI actions may consume more.
operations
agencies
ecommerce
CRM workflows
sales automation
document processing
reporting
research workflows
Complex workflows still require careful architecture and credit modelling.
DN Partner: Build with Make
Taskade is the strongest choice when the business wants more than an agent.
Taskade combines:
AI agents
team knowledge
projects
automations
internal applications
websites and dashboards
collaborative workspaces
Its Genesis environment can turn a natural-language prompt into a functioning app connected to Taskade agents and automations.
Taskade’s paid Pro plan currently includes unlimited agents, unlimited automations, 100+ integrations and 50,000 monthly AI credits. The current public pricing page lists Pro at $10 per month on annual billing and Business at $25 per month.
Most agent builders ask:
What should the agent do?
Taskade increasingly asks:
What complete business system should exist around the agent?
That can include:
CRM
dashboard
client portal
knowledge base
project tracker
support interface
AI employees
workflow automation
This can create significant software-consolidation value.
founders
agencies
consultants
research teams
content businesses
internal knowledge agents
client-facing tools
Its integration catalog is materially smaller than Make or Zapier.
DN Partner: Explore Taskade
Relevance AI is built around the concept of multiple specialist agents.
The platform currently supports:
unlimited agents
workforces
2,000+ integrations
custom tools
scheduling
escalations
multiple AI models
custom APIs
knowledge
calling and meeting agents on higher tiers
Its Free plan includes 200 actions per month. Pro is currently $19 per month on annual billing, while Team is $234 per month annually. Enterprise adds features such as agent evaluations, enterprise access controls and dedicated implementation support.
A B2B company might build:
research agent
qualification agent
outreach agent
CRM agent
meeting agent
and coordinate them as a sales workforce.
More agents can create more complexity.
A business should prove the economic value of one reliable agent before creating an entire autonomous department.
Voiceflow is our leading specialist option for businesses building customer-facing conversational agents.
Its current platform includes:
visual agent design
chat
voice
knowledge grounding
deterministic workflows
agentic reasoning
model choice
APIs
observability
evaluations
development, staging and production environments
Voiceflow also provides multi-client tooling and white-label features for agencies.
customer support
voice agents
booking
qualification
ecommerce assistance
customer self-service
agencies building agents for clients
Voiceflow is specialised around conversational customer experiences.
A company automating broad internal operations may find Make, Taskade or Relevance AI more suitable.
Zapier’s strategic advantage is the application ecosystem.
Its current platform connects more than 9,000 applications and includes conventional workflows, Tables, Forms, MCP and AI capabilities.
Zapier is also migrating standalone Agents into AI by Zapier, where agent reasoning and tool calling operate directly inside normal Zaps.
This means one workflow can combine:
deterministic steps
AI reasoning
tools
knowledge
application actions
filters
branching
workflow history
AI by Zapier now uses model-tier task multipliers.
Current task rates are:
Standard: 1×
Advanced: 3×
Premium: 5×
bring-your-own AI account: 1×
Each tool call adds tasks using the same multiplier. A Premium AI step making two tool calls can therefore use 15 tasks.
Businesses where application availability matters more than deep custom agent architecture.
Microsoft Copilot Studio is one of the deepest no-code enterprise agent environments.
It supports:
internal agents
autonomous agents
external web and app deployment
Power Platform connectors
custom connectors
Azure AI Search
interactive voice-response agents
Microsoft 365 context
Microsoft 365 Copilot currently costs $30 per user per month annually and includes internal agent-building capabilities. Standalone Copilot Studio also supports pay-as-you-go and 25,000 Copilot Credit packs priced at $200 per month.
Microsoft 365 businesses
Dynamics users
SharePoint knowledge agents
enterprise workflows
regulated organisations
Licensing and credit economics can become considerably more complicated than smaller SaaS products.
Botpress has evolved from a chatbot builder into a broader AI-agent platform.
Its current pricing includes:
Free: 25 conversations
Plus: $150/month annually for 250 conversations
Team: $750/month annually for 1,500 conversations
Enterprise: custom
Higher tiers add white-label webchat, routing, role controls, analytics and enterprise security.
website agents
support
lead qualification
product assistants
customer-facing automation
The jump between experimentation and meaningful production capacity is substantial.
Businesses should model cost per useful customer conversation rather than comparing only the free tier.
Lindy is less like a blank agent canvas and more like hiring a configurable digital co-worker.
Its current capabilities include:
meetings
scheduling
recurring routines
Slack
computer use
thousands of integrations
MCP
model choice
approval gates
shared workspace context
Lindy’s current Plus plan is $29.99 per user per month with 3,000 monthly credits. Pro is $99.99 and Max $199.99. Lindy states that externally consequential actions wait for approval.
founders
executives
consultants
sales professionals
administrative work
Lindy provides less granular workflow architecture control than dedicated orchestration platforms.
Your agent must work across several external systems.
You want agents to live alongside projects, company knowledge and internal apps.
You want several specialist agents collaborating as an AI workforce.
The agent mainly communicates with customers through voice or chat.
Connector availability and ease matter most.
Microsoft already runs the organisation.
You want a visual customer-agent builder with more technical flexibility.
You want a ready-made AI teammate rather than building the infrastructure yourself.
The proprietary DN No-Code AI Agent Builder Selector scores platforms according to:
use case
team profile
budget
technical confidence
knowledge and RAG requirements
automation depth
integrations
voice
governance
client-facing deployment
ease
value
It then produces a ranked shortlist rather than pretending one tool is best for everyone.
Make could lose its lead if Taskade, Relevance AI or Zapier achieves equivalent workflow observability and external execution depth at lower cost.
Taskade could take first place more broadly if its integration ecosystem closes the gap with dedicated automation platforms.
Relevance AI could move upward if businesses demonstrate that multi-agent workforces consistently outperform simpler architectures on cost and reliability.
Voiceflow could rank higher overall if more business workloads move toward voice-first interfaces.
Copilot Studio could dominate enterprise deployments if Microsoft's integrated agent stack becomes meaningfully simpler to license and operate.
That means this index should be maintained rather than frozen.
The agent-builder market is entering its second phase.
Phase one was:
Can a non-developer build an AI agent?
That question is largely solved.
Phase two is:
Can that non-developer build an agent that deserves production authority?
That is a much harder problem.
The strongest platforms in 2027 will not merely make agents easy to create.
They will make agents easier to understand, constrain, observe, evaluate and stop.
That is the category Decentralised News should increasingly benchmark, because it moves beyond generic feature comparisons into the part of agentic AI that businesses will actually pay to solve.