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Top 100 AI Tools for Business

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Make

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Make is a visual workflow automation platform connecting 3,000+ apps with credit-based scenario building, AI agents, and enterprise-grade error handling for teams.

Pricing Model
free
Skill Level
All Levels
Best For
Marketing & AdvertisingE-commerceSaaS & TechnologyBusiness Operations
Use Cases
workflow automationapp integrationAI agent orchestrationno-code operations
Visit Site
4.5/5
Overall Score
6+
Features
1
Pricing Plans
0
User Reviews
Updated 4 Jul 2026
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What is Make?

Make is a cloud-based visual automation platform that lets teams build, run, and monitor multi-step workflows — called scenarios — by connecting over 3,000 applications through a drag-and-drop canvas. Unlike linear automation builders, Make's canvas supports branching paths, parallel execution, routers, iterators, and aggregators, giving teams precise control over how data moves between tools like Slack, HubSpot, Airtable, Google Sheets, and any REST API. The practical problem Make addresses is operational fragmentation: teams maintaining separate tools for CRM, project management, billing, and communications end up manually copying data between them. Make eliminates that by letting a single scenario trigger on a webhook, filter records, enrich data via an API call, write results to a database, and notify a Slack channel — all without writing application code. As of May 2026, Make has shifted its billing model from "operations" to "credits," where every module execution in a scenario — including triggers, filters, and conditional routers — consumes one credit. This distinction matters: a five-step workflow runs at five credits per execution, not one, so teams with complex branching scenarios should plan credit consumption carefully before committing to a tier. Make serves over 350,000 organizations across 200 countries, ranging from solopreneurs running simple daily automations to enterprises orchestrating mission-critical data pipelines. The free plan provides 1,000 credits per month with two active scenarios — enough to evaluate the platform. Paid tiers start at $9 per month (Core) for 10,000 credits and scale through Pro ($16/mo) and Teams ($29/mo) with additional run-interval controls and team management features. Enterprise plans include SOC 2 Type II compliance, on-premises agents, and custom governance. Make is not the right fit for teams that need purely point-and-click simplicity with zero configuration. Its credit-based billing requires upfront workflow modeling to avoid cost surprises, and teams running hundreds of high-frequency scenarios with many modules per run should benchmark their credit burn before upgrading. For those workflows, n8n's self-hosted model may offer better long-term cost predictability.

Make is a visual workflow automation platform connecting 3,000+ apps with credit-based scenario building, AI agents, and enterprise-grade error handling for teams.

Make is widely used by professionals, developers, marketers, and creators to enhance their daily work and improve efficiency.

Key Features

1
Visual scenario builder
Make's canvas-based editor lets teams design workflows with routers, iterators, aggregators, and parallel paths. Unlike linear builders, the canvas handles branching logic and loops natively, making it well-suited for multi-condition data pipelines connecting tools like Salesforce, MySQL, and Google Sheets in a single scenario.
2
3,000+ app integrations
Pre-built connectors span CRMs, databases, communication platforms, payment processors, and developer tools. HTTP and webhook modules extend connectivity to any service with a REST API, while the Make Code App supports custom JavaScript and Python execution directly within scenarios.
3
Make AI Agents & Maia builder
Native AI agent nodes let teams insert LLM-powered decision steps into scenarios without leaving the canvas. The Maia AI builder allows natural-language scenario drafting, enabling non-technical users to describe a workflow goal and receive a deployable scenario scaffold as a starting point.
4
Advanced error handling
Dedicated error handler routes let teams define fallback paths when a module fails — routing broken records to a spreadsheet log, sending Slack alerts, or retrying with modified parameters. This prevents silent workflow failures that typically go undetected in simpler automation tools.
5
Analytics and observability
Make Grid provides a visual map of all active scenarios and their interconnections across an account. Per-scenario execution logs, credit consumption graphs, and run-history inspection let teams identify bottlenecks and optimize step count before credit limits become a constraint.
6
Enterprise security and governance
SOC 2 Type II and GDPR compliance, role-based access control, on-premises agent deployment, and SSO support make Make viable for enterprises running regulated data workflows. Teams plans add user management and shared scenario libraries for coordinated multi-user operations.

Pros & Cons

✓ Pros (4)
Boost in Productivity Automating multi-step processes across disconnected tools eliminates the manual copying, status checking, and notification work that absorbs hours of team time each week, freeing capacity for higher-judgment tasks.
Scalability Make's credit-based tiers scale with workflow volume rather than per-user seats, which suits growing operations teams that need to increase automation output without proportionally increasing licensing costs as headcount grows.
Error Handling Per-module error routing lets teams define explicit fallback paths when a step fails — writing broken records to a log, retrying with altered parameters, or triggering a Slack alert — rather than silently dropping data as many simpler automation tools do.
Extensive App Integrations With 3,000+ pre-built connectors plus HTTP and webhook modules for any REST API, Make can connect virtually any combination of SaaS tools, databases, or custom internal services a team already uses.
✕ Cons (2)
Complexity for Beginners Make's canvas introduces routers, iterators, aggregators, and error handler paths that take meaningful time to understand. Teams without prior automation experience typically need several hours of onboarding before building reliable multi-condition scenarios independently.
Pricing for Heavy Usage The credit model counts every module execution — including triggers, filters, and routers — so a ten-step scenario with high-frequency polling can exhaust a Core plan's 10,000 monthly credits faster than expected, pushing teams toward higher tiers or add-on credit packs.

Who Uses Make?

Operations & RevOps teams
Building end-to-end data pipelines that sync leads from web forms into CRMs, enrich contact records via external APIs, create follow-up tasks in project tools, and log activity to analytics dashboards — all without engineering involvement.
Digital agencies
Templating client automation setups as reusable scenario blueprints, then cloning and adapting them per client. This makes onboarding new accounts faster and keeps recurring deliverables like report generation and social scheduling on autopilot.
SaaS product teams
Orchestrating post-signup onboarding sequences that move new users through Stripe billing confirmation, CRM creation, onboarding email triggers, and internal Slack notifications in a single chained scenario that runs within seconds of signup.
E-commerce operators
Automating order-to-fulfillment workflows by connecting Shopify events to inventory systems, shipping APIs, and customer notification emails — while using error handler routes to flag and log failed fulfillment attempts for manual review.
Uncommon use cases
Independent researchers automating literature review pipelines that pull new papers from arXiv RSS feeds, classify them by topic using an AI agent node, and push categorized results to a shared Notion database for team review each morning.

Make vs Lutra AI vs Convergence vs Illumex

Detailed side-by-side comparison of Make with Lutra AI, Convergence, Illumex — pricing, features, pros & cons, and expert verdict.

Compare
Make
Free
Visit ↗
Lutra AI
Freemium
Visit ↗
Convergence
Free
Visit ↗
Illumex
unknown
Visit ↗
💰Pricing
FreeFreemiumFreeunknown
Rating
🆓Free Trial
Key Features
  • Visual scenario builder
  • 3,000+ app integrations
  • Make AI Agents & Maia builder
  • Advanced error handling
  • Effortless Automation with Natural Language
  • AI-Driven Data Extraction and Enrichment
  • Pre-Integrated for Quick Deployment
  • Secure and Reliable
  • Natural Language Processing
  • Task Automation
  • Web Interaction
  • Parallel Processing
  • Augmented Analytics Creation
  • Suggestive Data & Analytics Utilization Monitoring
  • Automated Knowledge Documentation
  • Semantic AI-Enabled Data Fabric
👍Pros
Automating multi-step processes across disconnected too
Make's credit-based tiers scale with workflow volume ra
Per-module error routing lets teams define explicit fal
Describing a workflow in plain English and having it ex
Data extraction and enrichment tasks that take an analy
Pre-built connections to Airtable, Slack, HubSpot, Goog
Proxy handles the full execution of delegated tasks aut
At $20 per month for the Pro tier, Convergence provides
Natural language task setup removes the technical barri
Illumex's live duplication detection and semantic asset
By maintaining a single, semantically consistent defini
The platform's semantic layer grows more contextually a
👎Cons
Make's canvas introduces routers, iterators, aggregator
The credit model counts every module execution — includ
Users new to automation concepts may initially write in
Workflows connecting to tools outside Lutra's pre-integ
Users unfamiliar with AI agent delegation often underus
The free plan caps the number of Proxy sessions and aut
Proxy's ability to execute web-based tasks is entirely
Data contributors unfamiliar with semantic data platfor
Illumex's enterprise positioning places it at a price p
Illumex's semantic integration layer maps relationships
🎯Best For
Operations & RevOps teamsE-commerce BusinessesBusy ProfessionalsFinancial Institutions
🏆Verdict
For RevOps or operations teams managing multi-step data pipe…
For digital marketing agencies and financial analysts runnin…
For busy professionals managing high volumes of repetitive o…
For telecommunications companies and financial institutions …
🔗Try It
Visit Make ↗Visit Lutra AI ↗Visit Convergence ↗Visit Illumex ↗
🏆
Our Pick
Make
For RevOps or operations teams managing multi-step data pipelines across HubSpot, Airtable, and custom REST APIs, Make d
Try Make Free ↗

Make vs Lutra AI vs Convergence vs Illumex — Which is Better in 2026?

Choosing between Make, Lutra AI, Convergence, Illumex can be difficult. We compared these tools side-by-side on pricing, features, ease of use, and real user feedback.

Make vs Lutra AI

Make — Make is an AI Tool that brings visual, code-free automation to teams handling multi-app workflows across operations, marketing, and development. Its credit-base

Lutra AI — Lutra AI is an AI Agent that executes multi-step data workflows autonomously based on natural language input, with pre-built connections to Airtable, Slack, Goo

  • Make: Best for Operations & RevOps teams, Digital agencies, SaaS product teams, E-commerce operators, Uncommon use
  • Lutra AI: Best for E-commerce Businesses, Digital Marketing Agencies, Research Institutions, Financial Analysts, Uncomm

Make vs Convergence

Make — Make is an AI Tool that brings visual, code-free automation to teams handling multi-app workflows across operations, marketing, and development. Its credit-base

Convergence — Convergence is an AI Agent that autonomously handles repetitive online tasks — browsing, form-filling, data aggregation, and scheduled workflows — through its n

  • Make: Best for Operations & RevOps teams, Digital agencies, SaaS product teams, E-commerce operators, Uncommon use
  • Convergence: Best for Busy Professionals, Managers, Researchers, Developers, Uncommon Use Cases

Make vs Illumex

Make — Make is an AI Tool that brings visual, code-free automation to teams handling multi-app workflows across operations, marketing, and development. Its credit-base

Illumex — Illumex is an AI Tool that applies semantic intelligence to enterprise data management, automating metric documentation and preventing the analytical duplicatio

  • Make: Best for Operations & RevOps teams, Digital agencies, SaaS product teams, E-commerce operators, Uncommon use
  • Illumex: Best for Financial Institutions, Healthcare Providers, Retail Chains, Telecommunications Companies, Uncommon

Final Verdict

For RevOps or operations teams managing multi-step data pipelines across HubSpot, Airtable, and custom REST APIs, Make delivers precise workflow control that Zapier's linear task model cannot replicate at the same price point. The primary constraint is its credit accounting model: every filter and router costs a credit, so complex branching scenarios require careful pre-build estimation to stay within tier limits.

FAQs

4 questions
Is Make free to use for small automations?
Make offers a permanent free plan with 1,000 credits per month and two active scenarios — enough for light personal automations or testing. Paid plans start at $9 per month for 10,000 credits. Keep in mind that every module step, including triggers and filters, consumes one credit per scenario run, so complex workflows can exhaust free credits quickly.
How does Make differ from Zapier in terms of workflow logic?
Make's canvas editor supports branching routers, loops, parallel paths, and per-module error handlers that Zapier's linear task model does not offer natively. For straightforward one-to-one app triggers, both tools work similarly. For multi-condition data pipelines, Make typically delivers more control at a lower price — though it requires more configuration time upfront.
What is Make's credit system and how do I estimate my monthly usage?
Each module execution in a Make scenario costs one credit, including triggers, filters, and routers. To estimate monthly usage, multiply the number of records processed by the number of modules in your scenario, then multiply by your expected run frequency per month. Make's Code App modules consume two credits per second of execution time, which adds cost for JavaScript or Python steps.
Can Make handle enterprise compliance requirements?
Yes. Make's Enterprise plan includes SOC 2 Type II certification, GDPR compliance, role-based access controls, SSO, and on-premises agent deployment for teams running regulated data workflows. Standard paid tiers include data encryption and webhook security, but the dedicated compliance controls and governance features are available only on Enterprise contracts.

Expert Verdict

Expert Verdict
For RevOps or operations teams managing multi-step data pipelines across HubSpot, Airtable, and custom REST APIs, Make delivers precise workflow control that Zapier's linear task model cannot replicate at the same price point. The primary constraint is its credit accounting model: every filter and router costs a credit, so complex branching scenarios require careful pre-build estimation to stay within tier limits.

Summary

Make is an AI Tool that brings visual, code-free automation to teams handling multi-app workflows across operations, marketing, and development. Its credit-based scenario builder, combined with over 3,000 app integrations and native AI agent support, makes it one of the most flexible hosted automation platforms available in 2026. Teams that architect their scenarios efficiently — batching writes, filtering early, and limiting module steps — consistently report strong cost-to-output ratios compared to alternatives.

It is suitable for beginners as well as professionals who want to streamline their workflow and save time using advanced AI capabilities.

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