AI-Powered Workflow Automation
Streamline operations using intelligent automation powered by machine learning and LLMs.
What we set out to solve
Most back-office work is repetitive but not rule-based enough for classic RPA: it needs judgement on free-text inputs. Teams end up with brittle scripts that break the moment an email or PDF looks slightly different.
How we built it
- 01Map the target workflow end-to-end and identify the judgement steps an LLM can absorb safely.
- 02Wrap LLM calls inside deterministic orchestration so retries, fallbacks, and human checkpoints are first-class.
- 03Integrate with the systems already in place (email, Slack, Google Workspace, ERPs) instead of forcing a new tool.
- 04Instrument every run so the team can audit cost, accuracy, and override rate over time.
Tools & systems
- Claude / OpenAI APIs
- Temporal / n8n / custom orchestrators
- Supabase or client DB
- Webhook + event bus integrations
What it delivers
- Repetitive judgement work moves off staff time without losing oversight.
- Every automated decision is logged and reviewable.
- Clear ROI per workflow because cost and accuracy are measured from day one.
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Let's scope AI-Powered Workflow Automation
Tell us your constraints and goals. We'll come back with a build plan, timeline, and price.