Service

AI Workflows & Automation

We build automated workflows and integrations that connect your tools, APIs, and AI services. Using platforms like n8n, Make, Zapier, and custom solutions, we create intelligent automation that handles complex business processes, data transformations, and AI-powered decision-making.

How can we help you?

Workflow Design & Implementation

We design and build workflows using n8n, Make, or custom solutions. We connect your CRM, databases, APIs, cloud services, and AI models into automated processes. We implement error handling, retries, conditional logic, and data transformations to ensure reliable execution.

AI-Powered Automation

We integrate LLMs (OpenAI, Anthropic, AWS Bedrock) into workflows for intelligent decision-making, content generation, data extraction, and classification. We use LangChain for complex AI pipelines and implement prompt engineering, function calling, and streaming responses.

Custom Integrations & APIs

When off-the-shelf connectors aren't enough, we build custom integrations using REST APIs, webhooks, GraphQL, and database connections. We create reusable components, handle authentication (OAuth, API keys), and implement rate limiting and error recovery.

Production Deployment & Monitoring

We deploy workflows to production with proper monitoring (n8n monitoring, custom dashboards), logging, alerting, and cost tracking. We set up self-hosted n8n instances on AWS/Docker or use cloud platforms, ensuring scalability and reliability.

What do you gain with us?

01

Time-Saving Automation

Automate repetitive tasks, data synchronization, and business processes. Workflows run 24/7, reducing manual work and human error. We handle complex multi-step processes with conditional logic and error recovery.

02

AI-Enhanced Decision Making

Integrate AI models into workflows for intelligent routing, content moderation, data classification, and automated responses. Use LLMs to process unstructured data, extract insights, and make context-aware decisions.

03

Seamless Tool Integration

Connect your entire tech stack: CRMs (Salesforce, HubSpot), databases, cloud services, communication tools (Slack, Teams), and custom APIs. We build workflows that bridge gaps between systems and enable data flow across your organization.

How we work

  1. Step 1

    Requirements & analysis (processes to automate, tools to integrate, data flows)

  2. Step 2

    Workflow design & platform selection (n8n, Make, custom solution)

  3. Step 3

    Implementation & testing (connectors, AI integrations, error handling, data transformations)

  4. Step 4

    Deployment & monitoring (production setup, observability, cost optimization, maintenance)

FAQ

Which workflow platform do you recommend?

n8n for self-hosted flexibility and cost control, Make for ease of use and extensive connectors, Zapier for quick integrations. For complex workflows, we use Temporal or Prefect. We choose based on your requirements, budget, and infrastructure preferences.

Can you integrate AI models into workflows?

Yes, we integrate OpenAI, Anthropic Claude, AWS Bedrock, and custom LLMs into workflows. We use LangChain for complex AI pipelines, implement function calling for tool use, and handle streaming responses. AI can make decisions, generate content, classify data, and extract information.

How do you handle errors and failures?

We implement retry logic with exponential backoff, error notifications (Slack, email), dead-letter queues for failed items, and comprehensive logging. We design workflows with fallback paths and manual intervention points for critical processes.

Can you build custom connectors?

Yes, when standard connectors don't exist, we build custom integrations using REST APIs, webhooks, GraphQL, and database connections. We create reusable components, handle authentication, and implement proper error handling and rate limiting.

How long does it take to build a workflow?

Simple workflows (2-3 steps): 1-2 days. Medium complexity (5-10 steps with AI): 1-2 weeks. Complex multi-system workflows with custom integrations: 2-4 weeks. Timeline depends on integration complexity, AI requirements, and testing needs.