What holds back AI workflow teams today?
Most teams see results – but visibility and control still block progress.
79% of organizations have adopted AI agents, with 66% reporting productivity wins—yet scaling remains elusive without transparency and robust workflow interfaces.
→  No control over user data and insights reduces performance
→  Risk from vendor dependency when pricing or stability changes
→  Limited UI and functionality limits take away customization the competitive edge
→ Struggles with edge cases and advanced logic
→ Off the shelf tools break under complex, multi-layered workflows
→ Missing error visibility and workflow notes block debugging and monitoring
→ No version history or change tracking
→ Complex multi-agent workflows become unmanageable without transparency
Custom AI workflow editors
Own the way your AI workflows look, work, and scale – with custom interfaces built for your product.
that matches your product and user data to keep performance on track
workflow interface styled to your brand and customized with features that match your industry and user needs
notes, metadata, and version history instead of manual documentation
adapt workflows to different roles with RBAC, giving business, architects, and specialists the right level of detail and control
that supports complex agentic workflows and multi-agent architectures
fully embedded to function like an integral part of your AI agent solution
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Faster scaling with Workflow Builder SDK
Eliminate reliance on N8N, Make, or Zapier by embedding your own workflow editor directly into your product. With all diagramming features built-in and ready to use, you can focus entirely on leveraging the tools that give your business an edge.
connect machine learning models and data pipelines into cohesive, automated workflows
map and orchestrate agentic workflows in real time
you can provide visual objects/nodes definitions along with their attributes and validations directly from your system without having to hardcode anything on the frontend side
easily add new features which can be turned on/off depending on any factor - ready for RBAC integration
start with Workflow Builder to get custom tool that fits your clients’ automation needs
Synergy Codes is at the top of the charts regarding timeliness, accuracy, completeness, and budget compliance.
Synergy Codes experts are unparalleled in creating visual collaborative apps, making them the top choice in the market. Their knowledge, professionalism, and how they leverage the Yjs library left me really impressed.
Trusted by AI innovators
Composabl's vision turned into a production-ready no-code AI agent platform in 3 weeks
Intuitive workflow interfaces created, to let users build complex autonomous agents through visual drag-and-drop interactions.
- Full control over workflow UI – Built custom React Flow interfaces with branded theming, light/dark modes, and tailored UX that integrated seamlessly into Composabl's no-code AI platformÂ
- Complex agentic workflow support – Delivered advanced diagramming with live connection previews, auto-layout algorithms, and reusable knowledge blocks for multi-step AI agent training workflowsÂ
- Embedded solution without vendor lock-in – Created fully integrated workflow editor that functions natively within Composabl's platform, maintaining complete control over features and dataÂ
Fully functional workflow UI integrated in just 1 day
Athena Intelligence, a VC-backed startup, implemented Workflow Builder directly into their product in just 24 hours – avoiding weeks of engineering effort and delivering value to users the very next day.
- Blitz integration – Visual workflow interface running in only one day, ready for investor demos.Â
- Developer-friendly codebase – Clean, modular code with clear styling and form schemas, easy to adapt.Â
- Rapid customization – UI tailored within a week (CSS, form fields) without rewriting code.Â
Make sure you know what reliance on N8N, Make, or Zapier costs you
Clients choose Synergy Codes for:
Guiding digital product transformation for diagram-based user interfaces, as a trusted business ally
Understanding both business and technical needs proven across the most demanding industries and complex product ecosystems
Solving what off-the-shelf tools just can't keep up with
Delivering scalable solutions across multiple technologies and frameworks
Extending your capacity and ensuring faster, safer delivery of AI workflows
Making sure the control stays in clients’ hands and building solutions tailored to specific product and users needs
How we work
FAQ
- How do you avoid vendor lock-in?Â
With a custom workflow interface you fully own the UI, data, and revenue stream. Instead of paying recurring SaaS fees and depending on someone else’s roadmap, your automation lives directly in your product – no external limits, no risk of price hikes, and no third-party restrictions.
- How do custom workflows scale compared to Make or n8n?
Off-the-shelf tools break when workflows get complex – large knowledge graphs, multi-agent orchestration, edge cases, or thousands of nodes quickly become unmanageable. Custom workflows are designed to handle exactly that: scalable rendering, clustering, role-based views, built for your users.
- Can you integrate with my stack (RBAC, real-time, proprietary systems)?
Yes. Our solutions are tech-agnostic and integrate seamlessly with enterprise systems, APIs, RBAC, and real-time data streams. Rather than forcing your processes into a generic tool, the editor becomes part of your stack – making workflows a native feature of your product.
- How fast can I go from prototype to production?
With Workflow Builder, teams go from a clickable proof-of-concept to a working interface 2x faster than average implementation. Because the components are extensible and production-ready, you can evolve the same prototype into your final product instead of rebuilding from scratch.
- How do I choose between off-the-shelf workflow tools (Make, n8n, Langflow) and custom diagramming?
Off-the-shelf tools such as Make, n8n, or Langflow can be a good choice when workflows are straight-forward and requirements are pretty basic. However, when projects call for branded user experiences, ownership of data, integrations with proprietary systems, or more complex multi-agent orchestration, their limitations become clear. In those cases, a custom diagramming approach gives you the needed flexibility and ensures the workflow interface evolves in line with your product and users’ needs.
- How do workflow diagram interfaces help in debugging and monitoring AI agents in production?
Custom interfaces can overlay live execution data directly on the diagram: showing active paths, agent handoffs, error states, and data flow in real time. This makes debugging and monitoring intuitive, reducing downtime and giving your team transparency over what’s really happening inside your agents.
- How can I make sure different stakeholders (business, architect, technical team) get the right level of detail in the same workflow?
Role-based views (RBAC) let each user see the level of detail they need: business stakeholders get a high-level process map, architects see orchestration, and developers dive into nodes, APIs, and error logs. One workflow with multiple perspectives but without the overhead of separate tools.
- What are the must-have features of a modern AI workflow builder?
→ Scalability for complex, multi-agent orchestration
→ Role-based access and multiple levels of views
→ Intuitive workflow documentation (notes, metadata, version history)
→ Real-time collaboration with presence and change tracking
Manage complex AI workflows with business clarity and technical depth
Contact us to dicsuss your project.
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Maciej Teska
CEO at Synergy Codes