AI Automation
The repetitive work that drains your team becomes a reliable, observable pipeline — with AI judgement applied exactly where it adds value.
Operational workflows that run themselves.
Most automation fails because it's either too rigid to handle real-world variance or too autonomous to trust. We blend deterministic workflow engines with AI decision points, so the predictable parts stay predictable and the ambiguous parts get reasoning.
Every automation ships with idempotent steps, retry and compensation logic, full observability, and a kill switch — the difference between a demo and something operations will actually depend on.
Why teams choose this
Reliability first
Idempotent, retryable steps with compensation for partial failures.
AI where it counts
Reasoning applied at decision points, not bolted onto everything.
Full observability
Every run is traced, logged, and replayable for debugging.
Fast to value
Highest-friction workflows automated first for compounding ROI.
What we build into every system
Workflow orchestration
Durable execution with Temporal-style guarantees.
Document intelligence
Extraction, classification, and routing of unstructured docs.
Decision automation
LLM-graded branching with confidence thresholds.
System integrations
Connectors for CRM, ERP, ticketing, and data warehouses.
Event-driven triggers
Webhooks, queues, and schedules drive every pipeline.
Human escalation
Low-confidence cases routed to people automatically.
Automation pipeline
Event-driven orchestration with AI decision nodes and human escalation.
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Where it creates leverage
Invoice processing
Extract, validate, match, and post invoices without manual keying.
Support deflection
Classify, draft, and resolve routine tickets automatically.
Onboarding flows
KYC, provisioning, and notifications fully orchestrated.
Tools we reach for
Let's build something that ships.
Bring us a problem. We'll tell you honestly whether AI is the right tool — and exactly how we'd build it.