Automate repetitive workflows with AI-powered n8n, Make, and LangChain integrations. Save 10–40 hours/week per team.
Deliverables
ROI
| Process | Manual Time / Week | After Automation |
|---|---|---|
| Document processing | 40 hours | < 2 hours (95% automated) |
| Lead qualification | 20 hours | < 1 hour (AI scoring) |
| Customer support tier-1 | 30 hours | < 3 hours (AI handles 80%) |
| Data entry & reporting | 15 hours | 0 hours (fully automated) |
| Email outreach & follow-up | 10 hours | 0 hours (AI sequences) |
Our average client saves 60–90% of manual operations time within 8–12 weeks.
Comparison
| Capability | Traditional (Zapier/Make rules) | AI Automation |
|---|---|---|
| Handles exceptions | No (breaks on edge cases) | Yes (AI adapts) |
| Reads unstructured data | No | Yes (PDFs, emails, images) |
| Learns from feedback | No | Yes (improves over time) |
| Cost to build | Low | Medium |
| Maintenance | High (brittle) | Low (self-healing) |
| Best for | Simple linear workflows | Complex, judgment-required tasks |
Use Cases
Lead scoring, outreach sequences, CRM data sync, pipeline reporting. AI qualifies inbound leads in real time and triggers personalized follow-up sequences — no manual data entry, no leads falling through the cracks.
Invoice processing, expense categorization, compliance document review, reporting. AI reads invoices and receipts, categorizes expenses, flags anomalies, and generates reports — reducing month-end close from days to hours.
Ticket triage, FAQ automation, escalation routing, churn prediction alerts. AI handles 80% of tier-1 support tickets, routes complex issues to the right team, and flags at-risk accounts before they churn.
CV screening, interview scheduling, onboarding workflows, headcount reporting. AI screens resumes against job criteria, schedules interviews automatically, and triggers onboarding checklists on hire — saving 15+ hours per week per recruiter.
Tech Stack
Self-hosted workflow automation. We prefer n8n over SaaS tools for data privacy — your automation logic and data never leave your infrastructure.
Cloud-native workflows for SaaS-heavy stacks. Best when you need 100+ app integrations out of the box and speed of deployment matters more than data residency.
AI orchestration for document processing and agent workflows. We use LangChain when automation requires understanding context, not just moving data between systems.
LLM backbone for intelligent decisions. GPT-4 and Claude power the “thinking” layer — reading documents, classifying data, drafting responses, and making judgment calls.
Custom automation logic when no-code tools hit their limits. For complex transformations, multi-step orchestration, or high-throughput pipelines, we write custom code.
Simple SaaS integrations when appropriate. We use Zapier for straightforward triggers and actions where its simplicity is an advantage, not a limitation.
Process
Map your workflows, bottlenecks, and automation opportunities.
Architecture doc, integration plan, and fixed-scope pricing in 3 days.
Iterative sprints with weekly demos. Production-ready automation flows.
Deployment, monitoring dashboards, documentation, and team training.
We integrate with HubSpot, Salesforce, Slack, Google Workspace, Notion, Airtable, and any system with an API.
Yes. We audit your current processes, identify the highest-ROI automation opportunities, and build them iteratively.
6–12 weeks for most projects. Simple single-workflow automations can ship in 3–4 weeks.
Related Case Study
Built AI lead scoring, automated outreach sequences, and CRM sync — transforming a sales team that spent 60% of time on manual prospecting.
40% reply rate · 3x demos booked
View Case Study