edje
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Consulting

AI that takes on your hardest manual work

We build models and agents that automate difficult processes at scale, with the accuracy numbers to prove it and human-in-the-loop checkpoints where judgment matters.

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edje provides LLM automation consulting for businesses in Seattle, across the Pacific Northwest, and remote. We build AI models and agents that automate manual triage, document review, and workflow processing at scale — measured against your ground truth data, with human-in-the-loop checkpoints wherever a decision carries real consequences.

Hard problems are the day job

The team has deep experience applying AI to difficult problems at scale, the kind where mistakes are expensive and “pretty good” isn't good enough. That includes production systems for risk scoring customer/vendor accounts and financial transactions, and the automation of slow, error-prone manual processes at one of the world's largest technology companies.

90%+
precision and recall in production triage systems
100%
LLM-automated pipelines replacing fully manual review
25+
years shipping technology at scale
Daily
hands-on building with the modern AI stack, not slideware

What we deliver

Process automation

We turn slow, manual workflows into AI pipelines that do the work end to end: reading the inbox, triaging the queue, drafting the response, updating the system of record. Your team stops doing the rote work and starts reviewing it.

Risk scoring

Models that rank what deserves attention (fraud signals, abuse patterns, compliance flags), calibrated against your ground truth so the score means something and the queue stays worth working.

How we keep it accurate

Every system we deliver is measured against ground truth data and engineered to a precision/recall target. Wherever a decision carries real consequences, we design human-in-the-loop checkpoints so your experts approve, correct, and continuously improve the system instead of being replaced by a black box.

Our approach

Eight steps, in the same order every time. It starts with your people and ends with a deployed system your team actually runs.

  1. Team interviews
    We sit with the people doing the work and learn how decisions really get made.
  2. SOP assessment
    We map your standard operating procedures to find the steps that can be automated, and where the SOP needs more detail before an LLM can follow it reliably.
  3. Ground truth data
    We refine your team's examples into a well-labeled dataset that defines what “correct” means for your process.
  4. Minimum viable product
    A working system on real cases, so accuracy is measured, not promised.
  5. Tuning
    We iterate against the ground truth until the system hits the precision/recall bar you set.
  6. Training
    Your team learns to operate, audit, and extend the system, so you own it end to end.
  7. Updated SOPs
    Procedures are rewritten around the new workflow, including the human checkpoints.
  8. Deployment
    The system ships to production with monitoring, and we stay until the handoff is complete and it runs reliably on its own.

Frequently asked questions

What does an engagement look like?

Eight steps, in the same order every time: team interviews, SOP assessment, ground truth data, a minimum viable product on real cases, tuning to your precision/recall bar, training your team, updated SOPs, and deployment with monitoring until it runs reliably on its own.

What is LLM triage automation?

Using large language models to read, classify, and prioritize incoming work — emails, tickets, documents, transactions — so the routine handling happens automatically and your team reviews a ranked queue instead of working every item by hand.

How does human-in-the-loop work?

Wherever a decision carries real consequences, we design checkpoints where your experts approve, correct, and continuously improve the system. Your team operates and audits the automation instead of being replaced by a black box.

How do you measure accuracy?

Every system is measured against a ground truth dataset built from your team's own examples and engineered to a precision/recall target you set — accuracy is demonstrated on real cases, not promised.

Do you work on-site or remotely?

Both. edje is based in Seattle and works on-site across the Pacific Northwest; remote engagements are available anywhere.

Tell us about your hardest manual process

A short note is plenty: what the process is, roughly how much time it eats, and what “solved” would look like. We'll reply within one business day.