Find the expensive repetition
Which steps burn hours every week, where errors cluster, and which systems already hold the source of truth.
AI Automation
Automate the work your team repeats
Manual handoffs, copy-paste between tools, and unread inboxes cost more than they look. We design, deploy and host automation on n8n and open-source AI tooling — with workflows, models and data on infrastructure you own.
TriggerWebhook, form, inbox
Orchestraten8n workflow
ReasonSelf-hosted model
ActCRM, database, Slack
AuditLogs and retries
Workflow automation
Connect CRM, inbox, spreadsheets and internal APIs into workflows that run without someone clicking through the same steps.
- Lead routing and follow-up
- Report and invoice generation
- Data sync between systems
- Scheduled jobs and alerting
AI agents and assistants
Assistants that answer from your documentation, tickets and database — with human review where the risk requires it.
- Retrieval over internal docs
- Support ticket triage
- Internal question answering
- Drafting with human review
Document and data processing
Pipelines that turn PDFs, scans and email threads into structured records your systems can trust.
- Invoice and order extraction
- Classification and tagging
- Transcription and summaries
- Validation before write-back
Self-hosted AI infrastructure
Run open models on servers you control so customer data does not become someone else’s training set by default.
- Model hosting and serving
- Vector database setup
- GPU and VPS provisioning
- Monitoring and cost control
Open-source tooling we build on
n8nOllamaLangChainLlamaIndexQdrantpgvectorWhisperFlowiseRedisDockerPythonPostgreSQL
How we scope it
Start from the bottleneck, not the model catalogue
We map the manual path end to end, decide what must stay human, then automate the rest with observability built in from day one.
Design the workflow and failure modes
Triggers, retries, human-in-the-loop checkpoints and what happens when an upstream API is down.
Deploy on infrastructure you own
n8n, models and stores in your accounts — with credentials, logs and runbooks you keep after we leave.
Operate and iterate
Monitor runs, tighten prompts and rules from real traffic, and expand only where the business case holds.
A good fit when
- Your team still copies data between tools that already have APIs
- Documents or email threads are the input to a system of record
- You want AI assistance without sending customer data to a closed vendor by default
- Someone needs to own the workflow after launch — preferably you
What you leave with
- Working workflows in an environment you control
- Documented triggers, credentials and escalation paths
- Monitoring on failed runs and silent stalls
- A clear list of what stays manual on purpose