AI / LLM

LLM Automation Consulting

We turn language-heavy, repetitive operations into LLM workflows that actually save time, scoped to where they pay off, built with evals and guardrails so you can trust the output.

The Challenge

LLM automation is easy to start and easy to waste money on. Teams automate the wrong tasks, ship workflows with no way to measure accuracy, and discover too late that the output needs as much review as doing the work by hand. Without evals and guardrails, "AI automation" quietly becomes a liability instead of leverage.

Our Approach

We start by finding the processes where automation genuinely pays (high volume, language-heavy, recoverable errors) and ignore the ones where it does not. Then we build each workflow with an evaluation set, output validation, and confidence-based routing to humans, so you get measurable savings with a safety net rather than a black box.

What We Deliver

Document Processing

Extraction, classification, and summarization of contracts, invoices, and forms with structured, validated output.

Support & Communications

Drafting, triage, and routing for support tickets and email, with confidence thresholds that escalate uncertain cases.

Internal Ops Workflows

Multi-step automations that connect your CRM, ticketing, and internal APIs into workflows a human used to run by hand.

Evals & ROI Measurement

Evaluation sets scored against real examples so accuracy and time savings are numbers you can defend, not vibes.

Guardrails & Human-in-the-Loop

Output validation and routing rules that keep risky or low-confidence cases under human review.

Model-Agnostic Design

Workflows built so the model is a swappable component, keeping you free as pricing and capability shift.

How We Work

01

Find the ROI

We map your processes and pick the ones where automation genuinely pays, and say no to the ones that do not.

02

Build with Evals

We define accuracy targets and build the workflow against a real evaluation set from day one.

03

Add Safety Nets

Validation and human-in-the-loop routing so low-confidence cases never ship unreviewed.

04

Measure & Expand

We report real savings, then extend to the next workflow once the first one is proven.

TYPICAL STACK
Claude / OpenAI / GeminiPython / TypeScriptLangGraphFastAPIPostgreSQL / pgvectorTemporalRedisAWS / GCP

Frequently Asked Questions

We help teams identify which business processes are a good fit for large language models, then design and build the workflows that automate them (document extraction, classification, drafting, routing, and summarization) with the evaluation and guardrails needed to trust the output.

Let's scope your build.

Tell us about your requirements. We'll respond within 24 hours with an initial architecture assessment.

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