LLM-assisted decisions
Every ambiguous step is resolved by a model trained on your vocabulary.
Service · Automation
Workflows where AI decides at each step.
RPA + LLMs orchestrated over your existing systems. Triggers, decisions and actions with full traceability.
The problem
Classic workflows are rigid: any exception breaks the chain. Adding people to review manually cancels the savings.
Our approach
We design workflows where a model decides on ambiguous steps. We wire triggers (mail, webhook, DB event), AI evaluation, external system actions and an audit log.
Core capabilities
Existing connectors
Salesforce, HubSpot, SAP, Oracle, Slack, Teams, S3, Postgres, Mongo and custom APIs.
Smart retry
Transient errors auto-retry; structural ones escalate to a human.
Per-step traceability
Every model decision is recorded with its context and reasoning.
Prompt versioning
AI logic versioned as code, with fast rollback.
Operational observability
Dashboards for success rate, cost per run and per-node latency.
Stack we tend to use
- Temporal
- n8n
- Airflow
- LangGraph
- Postgres
- Kafka
- Grafana
Frequently asked
Does it work without replacing my current RPA?
Yes. We co-exist with UiPath, Blue Prism or Automation Anywhere and add the AI decision layer.
How do we handle model errors?
Each critical step has a confidence threshold; below it, the flow escalates to a human.
Can we start small?
Yes. We recommend a first workflow with clear ROI, then replicate the pattern.
Let's talk about what to automate first
We help you prioritize by impact, feasibility and risk.
06 — Contact
We start with a 45-minute technical session.
No endless form. Tell us briefly about the challenge and we will book a call. If it is not a fit, we say so.