Automation That Survives the Edge Cases
Automations that parse unstructured data, run multi-step operations, and keep going when things go sideways.
Workflow Solutions
Three workflow patterns. Each one built to handle messy real-world input without breaking the moment a document format changes.
- [1]
Intake Workflow
Someone on your team is still copy-pasting from PDFs and emails into a CRM. We replace that with automations that read the document, extract the fields, and drop the result into your database. No human in the loop.
- — Unstructured data parsing
- — Automated AI-driven intake logic
- — Direct CRM/database integration
- — Deterministic routing logic
- — Error handling and validation
- [2]
Intelligence Workflow
Tracking your market across a dozen sources eats hours and still misses things. We build agent pipelines that watch the sources for you, condense them into readable updates, and flag what actually matters.
- — Multi-agent data monitoring
- — Frictionless platform synchronization
- — Market shift detection
- — Data synthesis and reporting
- — Real-time alert systems
- [3]
Operational Workflow
Reconciling documents, syncing inventory, reprocessing failed jobs. Repetitive work that quietly owns an engineer's week. We build workflows that do it instead, recover from failures on their own, and tell you when they can't.
- — Multi-step process automation
- — Proactive state management monitoring
- — Document reconciliation
- — Complex logic orchestration across silos
- — Inventory and data syncing
Our Approach
Automation that survives edge cases, not just demos. We work from Portland; you'll talk to the engineer architecting your workflow, not a project manager.
[1]
State-Managed Logic
Workflows need to know where they were when something failed. We build them with persistent state so they pick up cleanly instead of starting over.
[2]
Deterministic Engineering
Predictable decision trees instead of black-box behavior. When something goes wrong, you can read the logs and tell what happened.
[3]
Operational Autonomy
The goal is for your team to stop doing the work by hand. We aim for workflows that run themselves and only ping a human when something actually needs judgment.
Our Process
Four steps from audit to a running system.
- [1]
Workflow Audit
We look at where your team is currently doing repetitive work, and pick the tasks that pay the most to automate first.
- [2]
System Design
We design the workflow logic, the state model, and how it connects to your existing systems, then review it with you before building.
- [3]
Development & Testing
We build it, break it intentionally, and fix it. The failure modes are the part of the software that matters.
- [4]
Deployment & Monitoring
We ship it with a monitoring dashboard so your team can see what's running, what failed, and where time is being saved.
Automation Framework
A straightforward stack, nothing experimental, that plugs into what you already have.
[1]
Automation
- TypeScript
- Node.js
- State machines
[2]
Data Processing
- Natural language parsing
- Document extraction
- Data validation
[3]
Integration
- REST APIs
- Webhooks
- Database connectors
[4]
Monitoring
- Error tracking
- Performance metrics
- Alert systems
Get in Touch
Got manual work that should be running itself? We'd like to hear about it.