AI app for operations · no coding needed
No-code AI workflow operations portal
Run and govern AI-powered business workflows and agents in one owned portal.
Made for: Operations leads and automation owners building AI-powered business workflows without coding
What it does for you
The problem
Teams rent several no-code agent tools, so workflows, permissions and audit trails stay split across subscriptions they do not own.
What it gives you
Reviewed, monitored and auditable workflow runs
What you give it
Plain-English workflow descriptionsconnected appsdata sourcesagent templates
Build your own version of Scade.pro, Script.It and more
One app with what these 10 AI tools do, yours to keep and change: Scade.pro, Script.It, Mazaal AI, ZeroHuman., Open Agent Studio, Ballet, Open Agent Cloud, Enso, Komo Playbook, Jet AI Agents.
Everything these tools do, in one app
- No-code workflow building Create and deploy AI-powered workflows without writing code, using visual or natural language interfaces.Found in Scade.pro, Script.It, Mazaal AI and 3 more
- Natural language workflow definition Describe a workflow in plain English and have the system generate the automation.Found in Script.It, Open Agent Studio, Ballet and 1 more
- Pre-built agents and templates Use ready-made agents or templates to quickly start automating common tasks.Found in Script.It, Mazaal AI, Enso and 1 more
- Large library of AI tools/agents Access a wide collection of AI tools or agents to handle various business functions.Found in Scade.pro, Enso
- Integration with external apps Connect with popular apps and data sources to incorporate AI into existing systems.Found in Mazaal AI, Open Agent Cloud, Enso and 2 more
- API and SDK access Integrate AI functionalities into custom projects using APIs and SDKs.Found in Scade.pro, Script.It, Open Agent Cloud
- Document processing and OCR Extract and process information from documents using optical character recognition.Found in Script.It, Mazaal AI
- Data analysis and predictive analytics Analyze data and generate predictive insights to inform business decisions.Found in Mazaal AI
- Task orchestration and management Coordinate and manage tasks across automated workflows to keep projects moving.Found in ZeroHuman.
- Coding support and code generation Generate code or provide coding assistance for rapid prototyping and development.Found in ZeroHuman., Ballet
- Automated marketing content Generate and post short-form marketing content to support organic reach.Found in ZeroHuman.
- Persistent context across agents Maintain context and alignment across multiple agents as tasks progress.Found in ZeroHuman.
- Audit logs and rollback Track every action with full audit logs and revert to previous versions with one click.Found in Ballet
- Simulation mode Test workflows in a simulated environment before running them in production.Found in Ballet
- Autonomy control Set the level of autonomy the system has over each workflow.Found in Ballet
- Real-time monitoring and analytics Monitor agent performance and get real-time analytics.Found in Open Agent Cloud
- Messaging channel support Operate agents inside messaging platforms like Slack, WhatsApp, and Telegram.Found in Jet AI Agents
- Granular permissioning Limit which data and actions an agent can access with fine-grained permissions.Found in Jet AI Agents
- Self-hosting and open-source models Deploy on your own infrastructure and use open-source AI models.Found in Jet AI Agents
- Triggers and scheduling Trigger workflows via events, webhooks, data changes, or recurring schedules.Found in Komo Playbook
How it works, step by step
- Build workflows visually or from plain-English descriptions
- Generate automations from natural-language workflow definitions
- Start from pre-built agents and templates
- Select from a library of AI tools and agents
- Connect external apps and data sources
- Expose API and SDK access for custom projects
- Extract document data with OCR
- Run data analysis and predictive analytics
- Orchestrate and manage tasks across workflows
- Generate code and provide coding assistance
- Generate and post short-form marketing content
- Maintain persistent context across agents
- Record audit logs and support one-click rollback
- Test workflows in simulation mode
- Set autonomy level per workflow
- Monitor agent performance with real-time analytics
- Operate agents inside Slack, WhatsApp and Telegram
- Apply granular permissions to data and actions
- Self-host and use open-source models
- Trigger workflows by events, webhooks, data changes or schedules
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed, monitored and auditable workflow runs with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for No-code AI workflow operations portal with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds No-code AI workflow operations portal with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Run and govern AI-powered business workflows and agents in one owned portal. For operations leads and automation owners building AI-powered business workflows without coding, convert plain-English workflow descriptions, connected apps and data sources, and agent templates into reviewed, monitored and auditable workflow runs. The benefit is a testable hypothesis, measured through accepted workflow runs per operator hour and incidents after deployment; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect plain-English workflow descriptions, connected apps and data sources, and agent templates, then follow this sequence: 1. Build workflows visually or from plain-English descriptions. 2. Generate automations from natural-language workflow definitions. 3. Start from pre-built agents and templates. 4. Select from a library of AI tools and agents. 5. Connect external apps and data sources. 6. Expose API and SDK access for custom projects. 7. Extract document data with OCR. 8. Run data analysis and predictive analytics. 9. Orchestrate and manage tasks across workflows. 10. Generate code and provide coding assistance. 11. Generate and post short-form marketing content. 12. Maintain persistent context across agents. 13. Record audit logs and support one-click rollback. 14. Test workflows in simulation mode. 15. Set autonomy level per workflow. 16. Monitor agent performance with real-time analytics. 17. Operate agents inside Slack, WhatsApp and Telegram. 18. Apply granular permissions to data and actions. 19. Self-host and use open-source models. 20. Trigger workflows by events, webhooks, data changes or schedules. Resolve uncertain cases with qualified reviewers, approve reviewed, monitored and auditable workflow runs, and measure accepted workflow runs per operator hour and incidents after deployment against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed workflow scope and approved integration set; final business decisions and external actions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve operator voice, source attribution, data accuracy and usage permissions. Operations owners approve substantive changes and deployment scope. One fixed workflow scope and approved integration set; final business decisions and external actions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed workflow scope and approved integration set; final business decisions and external actions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: build workflows visually or from plain-English descriptions; generate automations from natural-language workflow definitions. Support the third module with operator review: start from pre-built agents and templates. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Customer-owned app accounts, authorized data sources and permitted messaging channels. Cloud workflow storage, app connectors and export destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Workflow builder and templates, Run monitor and audit log, Permissions and autonomy settings. Use a thumbnail gallery for workflows, a large central canvas for the visual or natural-language builder, and a right-hand panel for integrations, triggers and comments. Let users compare draft and live versions side by side. Display draft, simulated, changes requested and approved states. Provide a client preview link with comments anchored to the relevant workflow step. Make the task-specific outcome reviewed, monitored and auditable workflow runs visible beside its evidence, review state and value baseline.
