We design and deploy AI automations that save time, reduce errors, and scale output without forcing you to change the tools you already use. From workflow automation with AI to LLM + RAG assistants and n8n consulting, we focus on measurable business impact: faster cycle times, fewer manual touches, and clearer visibility into your Automation Process.
Patterns that make automations robust
- Human-in-the-loop where it matters: approvals, exception handling, and audit trails for business continuity.
- Idempotent runs & safe retries: no double-charges, no duplicate tickets—predictable outcomes even under failure.
- Queue-first orchestration: back-pressure and scheduling to keep throughput high when volumes spike.
- Observability by default: structured logs, metrics, and traces so issues are found and fixed quickly.
- Deterministic handoffs: clear contracts between steps, versioned prompts, and regression tests for LLM flows.
- Grounded answers with LLM + RAG: assistants cite sources from your knowledge base to keep responses accurate.
- Cost & performance guardrails: token budgets, caching, and fallbacks to keep ROI in check.
- Portable by design: n8n + Python components you can own, extend, and run wherever you need.
Common automations & systems we connect
- CRM/ERP & finance: lead routing, contact/company sync, opportunities, orders, invoices, inventory.
- Email & calendars: Gmail/Outlook triage, draft generation, reminders, scheduling, hand-offs to humans.
- Ecommerce & payments: store events to back-office, refunds/returns flows, fulfillment status updates.
- Databases & storage: PostgreSQL/MariaDB, files in Drive/OneDrive/S3-compatible, exports and backups.
- Chat & support: handover between chatbot and agents, ticket creation, enrichment, and follow-ups.
- RPA & web: browser automations (Playwright/Puppeteer) for portals without APIs.
- AI & orchestration: n8n consulting, LangChain + Python, OpenAI and Ollama (local) components.
- Monitoring & alerts: health checks, SLAs, and proactive notifications to keep flows on track.
Typical use cases
- Document OCR pipelines: Ingest invoices/receipts, extract fields, validate against business rules, and push into ERP-human review only for exceptions.
- ERP/CRM synchronization: Keep customers, products, prices, and orders consistent across systems with conflict resolution and smart deduplication.
- Email triage & draft replies with LLM: Categorize, prioritize, and generate high-quality drafts your team can approve in seconds.
- Automated reporting: Pull metrics from multiple systems, reconcile them, and deliver scheduled reports and dashboards.
- Knowledge-base assistant (LLM + RAG): A private assistant grounded in your documents and data that cites sources and learns your tone.
How it works
- Discovery – Map goals, constraints, and “time thieves.” Define KPIs, scope, and the fastest path to value.
- Design – Blueprint the Automation Process: triggers, handoffs, data flows, and LLM + RAG architecture. Choose on-prem, cloud, or hybrid including GPU where it moves the needle.
- Build & QA – Implement n8n workflows and Python/LangChain components with idempotency, tests, and dry-runs. Stakeholder UAT before go-live.
- Launch & Scale – Pilot, training, and runbooks. Observability dashboards, cost controls, and a backlog for continuous improvement.
FAQ
What outcomes can we expect?
Fewer manual steps, faster turnaround, and greater throughput. We target measurable KPIs such as cycle time, error rate, and hours saved per month.
Do we need to replace our current systems?
No. We integrate with your stack and automate around it, starting with the highest-impact workflows.
Can you start small and expand later?
Yes. We typically ship a focused production workflow first, then iterate as results and priorities become clear.
What does “n8n consulting” include?
Designing maintainable workflows, custom nodes, Python integrations, and best practices for reliability, testing, and observability.
How do you keep LLM assistants accurate?
By grounding them with LLM + RAG: we retrieve relevant knowledge from your sources and have assistants cite where answers come from.
Where does it run on-prem or in the cloud?
We support on-prem, cloud, or hybrid deployments based on data criticality and governance needs. GPU acceleration is included when beneficial.
What will my team receive at handover?
Workflows, code, configuration, diagrams, runbooks, and training-so your team can operate and evolve the automations confidently.
Can you integrate approval steps so humans stay in control?
Absolutely. Approvals and exception queues are first-class citizens in our designs.