01
Process Audit
We map your existing workflows, identify the highest-ROI automation candidates, and estimate time savings and error reduction for each.
🤖 AI-First Service
AI Business Automations
That Actually Scale | Lumo
Stop paying humans to do what machines should handle. Lumo builds intelligent automation pipelines that eliminate manual work, eliminate errors, and scale with you — not against you.
90%
Reduction in manual operations time
200+
AI workflows built and deployed
2–4 wks
Average delivery timeline
What We Build
AI Automations Built for
Forward-Thinking Teams
Most businesses waste 30–50% of their operational capacity on repetitive tasks that could be automated. Lumo's AI automation practice doesn't just connect apps with Zapier — we design and deploy intelligent systems that use language models, classification, data extraction, and decision logic to handle complex, unstructured workflows.
Whether you need to automate your sales ops, streamline customer onboarding, eliminate manual reporting, or build an AI-powered customer support layer, our team designs solutions that are robust, observable, and built to last.
Every automation is documented, monitored, and handed off with full runbooks so your team can understand, maintain, and extend what we build.
What You Get
Discovery + requirements workshop
Architecture diagram + tech spec
Built & tested automation pipeline
Error monitoring + alerting setup
Full documentation + runbook
30-day post-launch support
Training for your team
How It Works
Our 4-Step Automation Process
02
Architecture Design
We design the system architecture — selecting the right tools (n8n, Make, Python) and defining the AI layers needed for intelligent decision-making.
03
Build & Test
We build in sprints, test with real data, handle edge cases, and validate against your acceptance criteria before any production deployment.
04
Deploy & Optimize
We deploy to production, monitor performance, and iterate based on real-world data — then identify the next automation opportunity in your stack.
Common Questions
AI Automations FAQ
What tools does Lumo use to build AI automations?
We work across n8n, Make (Integromat), Zapier, and custom Python pipelines depending on complexity and your existing stack. We always recommend the tool that offers the best balance of power, maintainability, and cost for your specific use case.
How long does it take to build an automation?
Simple single-system automations are delivered in 1–2 weeks. Complex multi-system pipelines with AI logic layers take 3–6 weeks. We always start with a discovery sprint to scope accurately before building.
Do I need a developer on my team to maintain the automations?
No. We build automations with maintainability in mind and provide full documentation. For n8n and Make workflows, non-technical team members can manage basic updates. We also offer ongoing maintenance retainers.
What kinds of processes can be automated?
Lead routing and CRM updates, outbound sequences, data enrichment, reporting pipelines, invoice processing, customer onboarding, internal approvals, social media scheduling, customer support triage, and much more. If a human is doing it on a screen, we can likely automate it.
How is AI Automation different from standard automation?
Standard automation follows rigid if/then logic. AI automation uses language models and classification models to handle unstructured data, make judgment calls, draft content, and process information that would normally require a human — making the automation far more powerful and flexible.
Ready to Automate?
Stop Doing Manually
What AI Can Do Better
Book a free automation audit. We'll map your current manual processes and show you exactly what's automatable and what the ROI looks like.