Make Review 2026

Make (formerly Integromat, a Celonis company) has established itself as the leading visual orchestration engine for modern digital operations. Serving hundreds of thousands of organisations across the United Kingdom and Europe, Make bridges the gap between deterministic software integration and autonomous artificial intelligence. By pairing an infinite multidimensional canvas with canvas-native AI Agents, prompt-driven scenario generation, and native European data residency in Dublin and Frankfurt, Make enables UK businesses to automate complex operational routines at a fraction of the licensing expenditure demanded by legacy alternatives like Zapier.

Platform Background & Architectural Evolution

Founded in Prague in 2012 as Integromat, the platform earned widespread acclaim among technical operators for its visual graph canvas, deep data mapping, and granular error-handling capabilities. Following its acquisition by German enterprise process mining leader Celonis in 2020 and subsequent rebranding to Make, the platform underwent a comprehensive architectural overhaul. In 2025 and 2026, Make integrated artificial intelligence across its core infrastructure, transforming from a deterministic middleware tool into a hybrid orchestration platform where rule-based logic and autonomous AI agents collaborate seamlessly.

For British enterprises, Make offers a compelling architectural foundation. Unlike US-centric automation platforms that force all customer payloads through American cloud regions, Make provides dedicated European hosting within AWS Dublin and Frankfurt (accessible via eu1.make.com). This European residency satisfies stringent UK GDPR and NHS Information Governance mandates, providing clear jurisdictional certainty for enterprise procurement teams.

Core Capabilities & Technical Innovations

Make distinguishes itself through five principal operational capabilities that elevate it above basic trigger-and-action middleware tools.

1. Canvas-Native Make AI Agents

The most consequential advancement in the 2026 Make ecosystem is the introduction of canvas-native Make AI Agents. While traditional automation scenarios rely upon rigid, deterministic if-this-then-that branching, Make AI Agents introduce probabilistic reasoning and adaptive problem solving directly into workflow graphs:

• Unstructured Data Ingestion: Ingests complex supplier invoices, legal lease contracts, client emails, and multi-page technical PDFs without brittle regular expressions or pre-defined extraction schemas.
• Autonomous Conditional Routing: Evaluates incoming qualitative data against business rules, deciding which downstream branch to execute based on semantic intent rather than rigid keyword matches.
• Human-in-the-Loop Safeguards: Agents can pause execution, formulate summary dossiers, and dispatch approval requests via Slack, Microsoft Teams, or email before committing financial payments or updating central CRM records.

2. Make AI Assistant & Natural Language Scenario Builder

To reduce the initial learning curve, Make embeds the AI Assistant throughout the visual builder. Operations managers can describe desired workflows in plain British English, such as: "When a new lead arrives in HubSpot, scrape company metadata via Clearbit, generate an executive briefing using Claude 3.7, and create a preliminary record in Airtable."

The AI Assistant automatically arranges appropriate modules, establishes data links, suggests variable mappings, and configures required data transformations. Beyond initial build tasks, the assistant acts as a real-time debugging partner, inspecting execution error logs to suggest syntax fixes, missing JSON parameters, or correct formula structures.

3. Extensive Connector Ecosystem & BYOK Architecture

Make provides direct connectivity to more than 1,800 popular cloud applications, alongside over 400 dedicated AI connectors. Supported foundation models and vector databases include:

• Language Models: OpenAI (GPT-5 and reasoning models), Anthropic (Claude 3.7 and 3.5 Sonnet), Google Gemini 2.5 Flash, Mistral Large, and Perplexity Sonar.
• Vector Databases: Pinecone, Qdrant, Weaviate, and Milvus for semantic retrieval and long-term agent memory storage.
• UK Business Core Applications: Xero, Sage Business Cloud, QuickBooks UK, HubSpot, FreeAgent, Microsoft 365, Google Workspace, and Stripe.

Crucially, Make supports a Bring Your Own Key (BYOK) model across all paid subscription tiers. Rather than charging marked-up internal credits for token consumption, Make allows UK enterprises to connect their own foundation model API keys. This enables organisations to leverage direct enterprise agreements, take advantage of volume pricing, and enforce strict zero-data-retention terms with underlying AI providers.

4. Multidimensional Data Processing & Error Directives

Where linear tools like Zapier struggle with complex arrays, Make treats nested JSON structures and arrays as first-class citizens. Native array iterators, aggregators, and data transformers enable operators to manipulate line-item orders, multiple attachments, and split batches without custom code.

Furthermore, Make provides sophisticated error-handling directives attached directly to individual modules:

• Resume: Provides default fallback values to keep the scenario moving forward if an external API experiences a temporary hiccup.
• Ignore: Skips failed records while logging errors for later review.
• Rollback: Aborts execution immediately, rolling back operations to prevent incomplete or corrupt data writes in central ERPs.
• Commit: Confirms completed transactions up to the failure point.

5. Granular Operational Cost Efficiency

Make bills based on "Operations" (each module action executed within a scenario). Unlike competitors that count each multi-step workflow as an entire "Task" regardless of depth, Make transparent cost structure provides exceptional economics for high-volume data transformation. In production environments, UK businesses routinely report reducing their monthly automation expenditure by 60% to 85% after migrating from legacy platforms.

2026 Commercial Pricing & Operations Tier Matrix

Make provides a transparent modular pricing structure. Plans are priced according to monthly operations allowances and feature requirements, with annual advance billing delivering an effective 15% discount.

Commercial Note: Standard UK VAT at 20% applies to domestic business subscriptions. Operations scale in modular blocks (e.g. 20,000, 40,000, 80,000, 150,000+ operations per month). Monthly billing is available at approximately 15% higher rates.

UK Regulatory Compliance, European Data Residency & Governance

Data governance represents a vital selection criterion for UK enterprises deploying autonomous workflow automations. Make provides robust European compliance standards backed by the security posture of its parent company, Celonis.

Competitive Benchmark Analysis

To assist IT and commercial leaders in selecting the optimal workflow automation platform, the matrix below contrasts Make against four leading alternatives across architecture, cost, and compliance governance.

UK Enterprise Case Study: Midlands Precision Engineering Ltd

User Interface, Canvas Experience & Governance Controls

The signature advantage of Make remains its interactive visual canvas. Scenarios unfold visually as interconnected bubbles, with animated pulses indicating data packet movements in real time during testing. The visual mapper allows users to inspect raw JSON payloads, apply mathematical transformations, and test individual modules in isolation.

For growing teams, Make Teams and Enterprise tiers incorporate advanced governance controls:

• Role-Based Access Control (RBAC): Restricts scenario editing, connection credentials, and execution log visibility according to team roles (Admin, Member, Viewer).
• Custom Variables & Environments: Allows development, staging, and production scenario environments to share central API keys and endpoints without manual re-keying.
• Data Logging Suppression: Enables compliance managers to prevent sensitive customer payloads from appearing in historical execution logs, upholding data minimisation rules.

Strengths & Limitations

Strengths

• Exceptional Cost Efficiency: Significantly lower operational costs at scale than Zapier, providing superior economics for multi-step automations.
• Canvas-Native AI Agents: Blends probabilistic AI reasoning with deterministic reliability on a single unified canvas.
• Dedicated European Hosting: EU AWS data centres in Dublin and Frankfurt satisfy strict UK GDPR and enterprise data sovereignty requirements.
• Advanced Logic & Error Handling: Unmatched visual handling of nested JSON arrays, iterators, aggregators, and rollback directives.
• BYOK Foundation Models: Connects directly to enterprise LLM accounts with zero markup and custom zero-retention policies.

Limitations

• Steeper Learning Curve: The visual graph editor requires a basic understanding of data types, JSON structures, and arrays compared with simple linear form tools.
• Operation-Heavy Loops: Inefficiently structured scenarios that loop across thousands of records can consume monthly operations rapidly if aggregators are omitted.
• Limited Native Telephone Support: Direct telephone assistance is reserved exclusively for Enterprise tier agreements; Core and Pro rely on ticketing.

Final Verdict & Recommendation

Make represents the gold standard in visual workflow automation for UK businesses seeking to integrate artificial intelligence into practical commercial operations. By combining canvas-native AI Agents with robust multidimensional data routing and dedicated European hosting, Make delivers enterprise-grade orchestration without enterprise-grade software pricing.

While solopreneurs seeking ultra-simple one-step zaps may find Zapier initial setup marginally simpler, any UK organisation operating at scale or managing multi-step business logic will find Make vastly superior in capability, compliance posture, and cost efficiency. It is an indispensable technology foundation for modern AI-driven operations.