SMBs Replacing Manual Operations
Your business runs on manual processes, spreadsheets, and email. Infynno maps your operations, identifies automation opportunities, and builds workflows that run without ongoing oversight.
Automate Business Operations with AIThat Actually Works
From repetitive internal workflows to intelligent AI agents, we help businesses automate complex operations without disrupting existing systems. Whether you're streamlining approvals, customer support, document processing, or internal processes, we design, build, and deploy production-ready AI automation that delivers measurable business outcomes.
AI Workflow AutomationCustom AI AgentsBusiness Process AutomationProduction-Ready AI
14+
Years industry experience
15+
Countries served
170+
Projects delivered globally
5+
AI apps in production
Three Layers of Automation We Build All of Them
Not every automation problem needs the same solution. We select the right layer for each workflow's complexity, data volume, and AI requirements.
01
No-Code / Low-Code
Visual workflow builders connecting your existing tools without custom code. Fast to build, easy to modify, ideal for business process automation.
n8nMake.com
- ✓SaaS tool integration
- ✓Business process automation
- ✓Scheduled and webhook-triggered workflows
- ✓Self-hosted data control (n8n)
02
AI-Native Automation
Workflows where AI does the thinking - LLMs classify, generate, decide, and act within the automation flow.
Gumloop
- ✓LLM as core processing step
- ✓Document and content intelligence
- ✓Decisioning and generation nodes
- ✓Unstructured data processing
03
Agentic Development
Purpose-built AI agents and agentic coding tools for work no drag-and-drop platform can handle - built for the specific problem, not a generic template.
Claude CodeCustom Agents
- ✓Agentic coding for engineering automation
- ✓Custom agents for unique business logic
- ✓Multi-step reasoning and tool use
- ✓Multi-agent orchestration
Most production automation systems use all three layers - visual workflows for orchestration, AI nodes for intelligent decision-making, and agentic development for the work that needs a purpose-built agent.
The Right Tool for Every Workflow
n8n and Make.com for business process automation. Gumloop for AI-native workflows where LLMs do the thinking. Claude Code and custom agents for agentic development.
n8n
Open-source, self-hostable workflow automation with a visual node editor, native AI/LLM nodes, and no per-operation pricing at scale.
Deliverables
CRM data sync and lead enrichment workflows
Student progress report generation (EdTech)
Invoice processing and approval routing
AI-augmented classification and routing
SaaS user lifecycle automation
Best for: Best for: sensitive data, high-volume automation, custom logic
Make.com
Cloud-based automation with 1,500+ pre-built app integrations - the fastest path to connecting Salesforce, HubSpot, Stripe, Slack, Notion, Airtable, and Google Workspace.
Deliverables
Lead capture to CRM with enrichment
Invoice generation and client delivery
Support ticket routing and SLA tracking
Subscription event handling
Customer health monitoring and outreach
Best for: Best for: rapid SaaS tool integration, business process automation
Gumloop
AI-native automation platform built for workflows where LLMs are the core processing step - classifying, summarizing, extracting, generating as the primary operation.
Deliverables
Research and competitor monitoring automation
Document data extraction and validation
Student feedback analysis and reporting
AI lead enrichment and scoring pipelines
Content aggregation and summarization
Best for: Best for: document intelligence, content processing, AI research pipelines
Claude Code & Custom Agents
Agentic coding and purpose-built AI agents for work no drag-and-drop platform can handle - built for your exact workflow, data, and decision logic, not a generic template.
Deliverables
Codebase migration and refactor agents
Customer support agent (CRM + email + tickets)
Research and data-gathering agents
Content publishing agent (research to publish)
Student progress agent (data + email + CRM)
Best for: Best for: purpose-built agents and agentic engineering automation
Agentic Development - Purpose-Built AI Agents
Beyond workflow tools - coding agents and custom-built AI agents that handle work no drag-and-drop platform can, engineered for the specific problem in front of us.
Claude Code
Agentic CodingWe use Claude Code as an engineering force-multiplier - an agentic coding tool that plans, writes, tests, and ships real code inside our own workflows and our clients' codebases.
Use Claude Code when: repetitive engineering work needs automating, a codebase needs a large mechanical refactor, or a task needs an agent that can read, reason about, and modify real code end-to-end.
What We Build
- Automated refactors and codebase migrations
- Internal tooling and one-off engineering scripts
- Test generation and coverage improvement
- Documentation generation from live code
- CI/CD pipeline and DevOps automation
Multi-file agentic editsTool-using coding agentCustom skills & subagentsMCP integrationsAutomated PR workflowsCodebase-aware reasoning
Custom AI Agents
Agentic DevelopmentWhen no off-the-shelf tool fits, we build the agent - a purpose-built AI system designed around your exact workflow, data, and decision logic, not a generic template.
Build a custom agent when: the workflow logic is unique to your business, off-the-shelf automation tools hit a wall, or the task needs multi-step reasoning and tool use that generic platforms can't handle.
What We Build
- Research and data-gathering agents for a specific domain
- Multi-step decisioning agents tied to your business rules
- Agents that operate your internal tools and APIs directly
- Autonomous monitoring and remediation agents
- Agent orchestration across multiple specialized sub-agents
LangChain / LangGraphPydanticAITool-calling & function useMulti-agent orchestrationMemory & context managementHuman-in-the-loop escalation
Architecture Before Build
Every engagement starts with workflow mapping - not tool selection. We understand the manual process before we decide how to automate it.
01
Workflow Discovery
Map every manual process - who does it, how often, what data, which systems, what the failure modes are. Output: prioritized automation opportunities ranked by time saved.
02
Architecture Design
Design the automation architecture for each workflow - which layer, which tools, how they connect, where state is stored, and how errors are handled.
03
Tool Selection
Select the right combination of n8n, Make.com, Gumloop, Claude Code, and custom agents based on each workflow's specific requirements. Tool selection follows architecture.
04
Build and Test
Build in phases - starting with highest-impact, lowest-risk workflows. Each automation tested with real data before production deployment.
05
Monitoring and Alerting
Every system includes execution logs, error rates, processing latency, and volume metrics. Alerts trigger when workflows fail or produce unexpected output.
06
Documentation and Handover
Every workflow documented - triggers, data processed, systems touched, how to modify or disable. Your team can manage it without depending on us indefinitely.
Automation We Build
Real workflows we have built for EdTech, Fintech, SaaS, SMB, and content/brand-led clients - not hypotheticals.
Student Progress Reporting
Weekly AI-generated performance summaries delivered to parents automatically. No manual report writing.
Tutor Session Management
Booking confirmation, Zoom link, reminders (24hr + 1hr), post-session notes prompt, attendance logging - all automated.
Assignment Workflow
Submission tracking, overdue alerts, tutor notification, feedback delivery to student and parent.
Enrollment Automation
New student triggers profile creation, class assignment, welcome sequence, and first session booking prompt.
At-Risk Student Alerts
Performance data streamed in real time, threshold evaluation, automatic alert to tutor and parent when trajectory declines.
Content Ingestion Pipeline
New material uploaded - Unstructured.io processing - chunking - embedding - vector DB upsert - AI assistant updated.
Who Builds Automation With Infynno
SaaS Founders Building Automation Into Products
You need workflow automation as a product feature - user lifecycle, integration automation, event-driven processing. We build it as part of your product architecture, not as an afterthought.
EdTech Platforms Automating Student Workflows
Manual student progress reporting, parent communication, session management, and content processing. We have built these automations for EdTech platforms and can implement them on yours.
Enterprises With Complex Multi-System Workflows
CRM, ERP, billing, support - systems that do not communicate. Manual data entry bridges the gaps. Infynno builds the integration and automation layer that connects your systems.
AI Automation & Workflow Questions
Workflow automation uses software to perform repetitive business processes automatically - without manual human intervention at each step. Automated workflows connect systems, move data, trigger actions, and make decisions based on logic and AI. Examples: creating a CRM contact from a web form, sending a student progress report weekly, routing a support ticket to the right team based on its content.
n8n is open-source and self-hostable - giving full data control and no per-operation pricing, ideal for sensitive data or high-volume automation. Make.com is cloud-based with 1,500+ pre-built app integrations - faster for connecting common SaaS tools, with per-operation pricing. We recommend n8n for self-hosted or high-volume scenarios and Make.com for rapid SaaS tool integration.
Claude Code is an agentic coding tool we use as an engineering force-multiplier - it plans, writes, tests, and ships real code across a codebase autonomously. We use it for automated refactors, internal tooling, test generation, documentation, and CI/CD automation - work that's mechanical for a human but requires real code reasoning that no drag-and-drop platform can do.
Build a custom agent when the workflow logic is unique to your business, off-the-shelf automation tools hit a wall, or the task needs multi-step reasoning and tool use that generic platforms can't handle - like an agent that has to read your data, make a judgment call, and act across multiple systems. We use LangChain, LangGraph, and PydanticAI to build agents scoped to exactly your problem.
Yes. Infynno builds AI-native automation workflows where LLMs classify, summarize, extract, generate, and decide as steps within the automation flow - using Gumloop for visual AI workflow design, n8n with AI nodes for hybrid data and AI workflows, and custom Python/Node.js pipelines for complex AI automation with LangChain or PydanticAI.
A single workflow automation (one process, connecting 2-3 systems) typically takes 1-2 weeks. A comprehensive automation system covering multiple business processes typically takes 6-12 weeks. Custom agent builds and agentic development work typically take 6-14 weeks including architecture, implementation, and testing.
Yes. Our automation approach is additive - we connect and automate the tools you already use rather than replacing them. Make.com and n8n integrate with 100+ common business tools via pre-built connectors, and our custom agents call your existing tools' APIs directly, meaning your existing CRM, email, billing, support, and project management tools become participants in automated workflows without any changes to the tools themselves.
Ready to Automate?
Let's Map Your Automation Opportunities
Free automation discovery call. We'll identify the highest-impact workflows to automate and recommend the right stack.
Start building
- 1
Automation discovery call
- 2
Workflow mapping
- 3
Architecture and tool selection
- 4
Build and deploy
NDA Day 1Architecture before buildNo vendor lock-in