AI Automation Development &
Business Process Automation
We eliminate the manual bottlenecks that cap your operational throughput — connecting your systems, automating your decisions, and deploying intelligent workflows that run 24/7 without your team touching them.
When off-the-shelf automation cannot do it, this is what we build.
Plenty of processes almost fit a ready-made tool, and then break on the one step that makes your business yours. The pricing rule nobody wrote down. The exception your best person just knows how to handle. The system with no proper way to connect to it.
That is when automation has to be built rather than bought. We write the piece that handles your actual process, including the awkward parts, and connect it to everything around it.
The honest test is whether the process is repetitive and the rules can be written down. If a new hire could learn it from a checklist, it can usually be automated. If it needs genuine judgement every time, it usually cannot, and we will tell you that rather than sell you something.
What you actually get
- ✓ Automation shaped around your real process, including the exceptions
- ✓ Built to connect to the systems that have no easy integration
- ✓ Monitoring, so you find out when something breaks before your customers do
- ✓ The rules written down properly, often for the first time
- ✓ Source code and documentation handed to you at the end
Everything below this point is the technical detail: the frameworks, models, and architecture we use. If that is not your area, skip it and send us a note instead.
Seven automation capabilities — matched to your use case.
From lightweight Zapier integrations to enterprise RPA with AI decision engines, we select the right platform for your compliance requirements, technical constraints, and budget.
n8n 2.0 Enterprise Automation with LangChain
n8n 2.0 is the leading open-source automation platform for technical teams who demand data sovereignty and deep AI orchestration. We build complex, self-hosted n8n workflows with native LangChain integration, multi-LLM support (OpenAI, Anthropic Claude, Google Gemini), and the AI Agent Tool Node for multi-agent orchestration.
- ✓ Self-hosted with full data sovereignty
- ✓ Native LangChain & LangGraph integration
- ✓ Multi-LLM: GPT-4o, Claude 3.5, Gemini 2.0
Zapier Agents & Copilot Automation
For teams prioritising rapid deployment and broad connectivity, we build Zapier Agent workflows connecting over 8,000 applications. Zapier's AI Copilot generates automations from natural language, while Zapier Agents manage entire workflows independently — ideal for customer onboarding sequences and CRM data enrichment.
- ✓ 8,000+ app integrations
- ✓ Zapier Agents for autonomous workflows
- ✓ Natural language automation with Copilot
Anthropic Claude Workflow Integrations
Claude Opus 4.5 is transforming from a chatbot into a force-multiplier for autonomous workflow management. We integrate Claude directly into your operational tools via MCP: Claude reads project status from Asana, writes Slack updates, modifies Notion databases, and closes tasks in Jira — all triggered by natural language commands.
- ✓ Claude MCP for tool-native actions
- ✓ Slack, Asana & Notion automation
- ✓ Claude Code for automated code deployment
Make (Integromat) Visual Workflow Automation
Make offers the perfect balance between Zapier's simplicity and n8n's depth, with a visual drag-and-drop builder ideal for complex, multi-step workflows with branching logic. We use Make for multi-stage data transformation pipelines, invoice processing automation, and AI-enhanced content distribution workflows.
- ✓ Visual multi-branch workflow builder
- ✓ Built-in AI prompt engineering
- ✓ Complex data transformation scenarios
Workato & Tray.ai Enterprise Integration
For regulated enterprise environments requiring enterprise-grade SLAs, audit trails, and RBAC governance, we deploy on Workato and Tray.ai. These platforms support AI-driven Recipe intelligence, native AI agents for decision automation, and deep integrations with SAP, Salesforce, and ServiceNow.
- ✓ Workato AI Recipe intelligence
- ✓ SAP & ServiceNow integrations
- ✓ RBAC governance & audit logging
UiPath RPA + AI Intelligent Automation
For legacy system automation where APIs do not exist, we combine UiPath Robotic Process Automation with AI Document Understanding and Claude-powered decision engines. UiPath robots handle browser and desktop interactions with legacy ERP systems while our AI layer makes intelligent decisions on exceptions and approvals.
- ✓ UiPath for legacy system UI automation
- ✓ AI Document Understanding integration
- ✓ Straight-through processing with exception AI
Standardized SKILL.md Workflows
We use the 2026 SKILL.md open standard to package complex business logic into portable, autonomous skill modules. This allows your automation agents to execute high-value tasks with consistent precision, adhering to your specific company workflows and compliance standards.
- ✓ Instruction-driven workflow skills
- ✓ Portable automation modules
- ✓ Standardized execution guardrails
Automation that compounds.
Each workflow we deploy reduces the manual load on your team — and creates the operational headroom to automate the next one. Most clients have 3–5 live automations within the first quarter.
Frequently asked questions.
What is the difference between n8n, Zapier, and Make?
n8n is the best choice for technical teams needing data sovereignty, self-hosting, and deep AI integration — it runs on your own infrastructure with no per-task pricing. Zapier is best for rapid deployment with broad connectivity (8,000+ apps) and non-technical users. Make sits between them — more powerful than Zapier with a visual builder, more accessible than n8n for complex data transformations. We select the right platform based on your technical requirements, compliance constraints, and budget.
Can you automate workflows that use legacy software without APIs?
Yes. We use UiPath Robotic Process Automation to automate browser and desktop interactions with legacy ERP and back-office systems that predate modern APIs. UiPath robots can navigate user interfaces, extract data from screens, fill forms, and trigger actions — combined with Claude AI for intelligent decision-making on exceptions and approvals. This produces end-to-end straight-through processing without modernizing your legacy systems.
How long does it take to implement a business automation workflow?
Simple integrations using Zapier or Make can be live in 1–5 days. Complex multi-step workflows with AI decision-making, legacy system integration, and custom RAG pipelines typically take 3–8 weeks. We always start with a paid discovery phase to map your workflows, identify automation opportunities, and deliver a scoped implementation plan before building.
What happens if an automated workflow fails?
Every automation we build includes error handling, alerting, and fallback paths. We implement monitoring dashboards that surface failures in real time and route exceptions to a human-review queue rather than silently failing. For mission-critical workflows, we build full audit trails and rollback capabilities. Our target is 99.9% uptime on production automations.
Not ready to book a call?
Tell us the one manual process eating the most time in your business. We will reply with whether it is automatable, roughly what it would take, and what it would be worth. No deck, no pitch.
Thirty minutes.
We'll tell you exactly
where your ROI is.
No sales deck. No 50-page report you have to pay for before anything gets built. Just a direct conversation about which of your workflows are costing the most and whether AI can fix them. If there's no compelling answer, we'll say so. And it's a conversation with Kash, our founder, not a rep reading from a script, because the person who built this business is the one who should understand yours.