CodeWords is a chat-native workflow automation platform. It's the quickest way to turn your ideas into automations, simply by chatting with our AI automation assistant, Cody. Feature highlights: One-prompt building: you're always only a single prompt away from building automations that save you hours per week. 2,700+ integrations: connect to all the tools in your stack in just a couple of clicks. Automatically test, debug, and deploy workflow automations — CodeWords handles this for you. If you can think it, you can build it. Under the hood, CodeWords uses code to create your automations so you're not confined to rigid drag-and-drop nodes.

What makes CodeWords different from other automation tools like n8n, Zapier, or Make?

CodeWords is a chat-based workflow automation tool, built for everyone, regardless of technical ability. Unlike Zapier, Make, or n8n, CodeWords is based on code. This means you can be more expressive and creative with what you build, without being confined to the limits of traditional drag-and-drop tools. With automatic testing, debugging, and deploying, you're always one prompt away from automating your workflows.

How much time will I save using CodeWords?

Most automation tools require you to have deep technical knowledge to be successful. On average, the most popular automation tools take 1-3 months to learn, with continuous learning needed after that. CodeWords requires zero technical knowledge. Our non-technical users get started in 2 minutes, and build their first automation in under 10 minutes. On average, our community save 5-10 hours a week once they've finished building their workflows.

Founders, Operators, Growth engineers, Marketers, Vibe coders — CodeWords is for anyone who wants to drive business transformation, scale fast, or who enjoys beautiful and productive systems. You'll be able to fit CodeWords into your workflow, regardless of your job role or technical ability.

Does CodeWords integrate with my existing tools?

CodeWords gives you access to over 2,700 integrations. Connect to any of your favorite tools in just a couple of clicks, without any coding or technical configuration. Quickly and easily create workflow automations that make your existing tools more productive.

What is hyperautomation?

Hyperautomation is Gartner's term for using multiple automation technologies together — AI, machine learning, RPA, workflow automation, and process mining — to automate as many business processes as possible. Gartner first identified hyperautomation as a top strategic technology trend in 2020 and has kept it on the list since. The core idea: no single automation tool can automate everything, so organizations need a coordinated technology portfolio that covers the full spectrum from simple task automation to complex AI-driven decision-making.

Unlike generic AI automation posts, this guide shows real CodeWords workflows — not just theory.

Why hyperautomation matters

The term exists because organizations discovered that first-generation automation — typically RPA bots clicking through legacy UIs — couldn't scale beyond simple, repetitive tasks. You automated the easy 20% of a process and hit a wall where human judgment was required.

Hyperautomation pushes past that wall by layering technologies:

RPA handles repetitive UI interactions with legacy systems that lack APIs
Workflow automation orchestrates multi-step processes across modern applications
AI/ML makes decisions, classifies data, and generates content at judgment points
Process mining identifies which processes to automate next based on actual usage data
Integration platforms connect the technology layers to each other and to business systems

Gartner's 2025 hyperautomation forecast estimates that hyperautomation-enabling software spending reached $860 billion worldwide, with AI-augmented automation being the fastest-growing segment.

How hyperautomation works in practice

Instead of a single automation tool, hyperautomation uses the right tool for each part of a process:

Step 1: Process discovery (process mining). Analyze system logs and user behavior to identify processes with the highest automation ROI. Tools like Celonis or UiPath Process Mining reveal bottlenecks and manual touchpoints.

Step 2: Simple task automation (RPA). For legacy systems without APIs, RPA bots handle data entry, form filling, and screen scraping. These bots follow deterministic rules — no intelligence required.

Step 3: Workflow orchestration (integration platforms). Modern applications connect via APIs through workflow platforms. CodeWords, Zapier, Make, and enterprise iPaaS tools handle the multi-step process flows between connected systems.

Step 4: Intelligent decision-making (AI/ML). At points requiring judgment — classifying a support ticket, evaluating a loan application, generating a response — AI models make decisions. CodeWords provides native access to OpenAI, Anthropic, and Google Gemini for these decision points within automated workflows.

Step 5: Continuous optimization. Monitor automation performance, identify failures and edge cases, and refine. The process mining tools from Step 1 close the loop by measuring improvement.

Hyperautomation vs. regular automation

Regular automation: "When a new order arrives, update inventory and send a shipping notification."

Hyperautomation: "When a new order arrives, an RPA bot enters it into the legacy ERP system, the workflow platform updates inventory across three warehouse systems, an AI model evaluates the order for fraud risk, and if flagged, routes to a human reviewer with a risk assessment summary. Process mining tracks the end-to-end cycle time and identifies where delays occur."

The difference is scope and coordination. Regular automation handles individual tasks. Hyperautomation coordinates multiple automation technologies across an end-to-end business process.

Real-world example

A hyperautomation approach to accounts payable:

Invoice receipt: Email arrives with a PDF invoice attached
AI extraction (CodeWords): LLM extracts vendor name, invoice number, amounts, line items, and payment terms from the PDF. Pydantic validation ensures structured output
System matching (workflow): CodeWords workflow matches the invoice against purchase orders in the ERP via API
Discrepancy handling (AI): If amounts don't match, AI evaluates the discrepancy and either auto-resolves (rounding differences, tax adjustments) or escalates to a human with context
Legacy entry (RPA): For systems without APIs, an RPA bot enters approved invoices into the payment system
Approval routing (workflow): Invoices above threshold amounts route through approval chains via Slack or email
Payment execution: Approved invoices trigger payment via banking API

This process uses AI, workflow automation, and potentially RPA — coordinated into a single end-to-end flow. That's hyperautomation.

Connection to AI-native platforms

AI-native platforms like CodeWords accelerate hyperautomation by collapsing multiple technology layers into one. Instead of separate tools for workflow orchestration, AI processing, and integration, CodeWords handles all three: Python workflows orchestrate the process, native LLM access powers decisions, 500+ integrations connect to business systems, and web scraping handles data extraction from unstructured sources.

This doesn't eliminate the need for RPA (legacy UI automation) or process mining (process discovery), but it reduces the number of tools required for the AI + workflow + integration layers.

McKinsey's 2025 automation impact report found that organizations pursuing hyperautomation — coordinated multi-technology automation — achieved 3x the cost savings of those using single-technology approaches.

FAQs

Is hyperautomation just a marketing term? It started as a Gartner analyst term. The concept — using multiple automation technologies together for broader process coverage — is practical and widely adopted, even if organizations don't use the specific label.

Where should I start with hyperautomation? Start with process mapping. Identify your highest-volume, highest-pain manual processes. Automate the AI-driven decision points with CodeWords and the app-to-app connections with workflow tools. Add RPA only for legacy systems that lack APIs.

How much does hyperautomation cost? Costs range from near-zero (using free tiers of workflow tools plus CodeWords) to millions (enterprise process mining + RPA + iPaaS licenses). Start small and expand based on demonstrated ROI. CodeWords pricing scales with usage, not licenses.

Start your hyperautomation journey at codewords.agemo.ai.

Rebecca Pearson

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