Agentic Index

Make vs Turbotic (2026)

Make builds automations on a visual canvas, and Turbotic builds them from a plain English request. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Make's scenarios route and branch across its app and module catalog, and its agents call modules, scenarios, MCP tools and other agents, keep knowledge files in a vector store, carry a conversation across runs and show their reasoning step by step, with a library of prebuilt agents, providers such as OpenAI, Gemini and Claude, an MCP server and an on premises agent for reaching internal systems. Turbotic's Automation AI asks for the keys it needs, writes the workflow as code against any API, tests it and rewrites it when it breaks, and Turbotic adds Automation Orchestration over UiPath, Blue Prism and Automation Anywhere robots. Make suits builders who want to see and shape every step on a canvas, with agents drawing on stored knowledge. Turbotic suits business users who would rather describe the job and leave the building and repairs to the AI.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Make and Turbotic are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,006 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Make if

  • Builders want a visual canvas for every route and branch.
  • Agents should search knowledge files kept in a vector store.
  • A library of prebuilt agents should give teams a starting point.
  • Agents should run on OpenAI, Gemini or Claude as you choose.
  • Internal systems should be reached through an on premises agent.

Choose Turbotic if

  • Automations should be generated as code from a plain English request.
  • Automations should fix themselves when an API or app changes under them.
  • An RPA estate across several vendors needs one view.
  • You want a return figure, in hours and money, for every automation.
  • Consultants should be on hand to build and run automations.
Feature
M
Make
T
Turbotic
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
M
Make
T
Turbotic

Entry price

Lowest public entry point

Core $12, Pro $21 and Teams $38 per month billed monthly, each with 10,000 credits, and 15% or more off billed annually. A free plan includes 1,000 credits a month. Enterprise is custom. Free plan, then Automation AI Basic from $14.99 a month on annual billing. Orchestration is quoted.

Pricing confidence

How public the numbers are

Public, partial Public, partial

Billing

Primary billing axis

Credits. Each plan carries a monthly credit allowance, and every module action in a scenario uses credits. Automation AI is billed per plan with monthly allowances of executions, chats and automations, the AI Assistant per seat with monthly credits, and Orchestration by quote.

Variable cost

Workload / overage exposure

High variable cost Medium variable cost

Free tier / trial

Try before you buy

Free tier
Free tier

Buying motion

Self-serve vs sales call

Mixed Mixed

Make is part of Celonis, the process mining company. Turbotic's Automation AI has public prices.

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