AI Implementation

Measured, guarded, monitored—so it keeps working.

EvalGuardrailsMonitoringCost control
LLM workflowsRAGAutomation

What you get

  • Evaluation harness with regression suite

  • RAG design + indexing strategy (if needed)

  • Prompt versioning + rollback plan

  • Observability: quality metrics + cost tracking

  • Guardrails: input validation + output filtering

  • Integration with existing systems

Reliability model

01

Data

Clean test sets, representative examples, and edge cases documented.

02

Eval

Automated checks for accuracy, relevance, safety, and regression.

03

Deploy

Versioned prompts, gradual rollouts, and rollback plans in place.

04

Monitor

Track quality (accuracy, deflection), latency, and cost per request in production.

Common use cases

Support copilot

Answer customer questions with context from docs, tickets, and knowledge base.

Internal search

Semantic search across documents, code, and internal tools.

Workflow automation

Extract, classify, and route data from emails, forms, and documents.

Reporting & analysis

Generate summaries, insights, and structured data from unstructured sources.

Frequently asked questions

What AI services does Attractor provide?

We implement production-grade AI solutions including RAG systems, LLM evaluation harnesses, workflow automation, AI guardrails and safety monitoring, and cost and latency optimization.

Which AI models and platforms do you work with?

We work with OpenAI, Anthropic, Google, Meta, and open-source models. We select the best model for each use case based on performance, cost, and requirements.

How do you ensure AI quality in production?

We build evaluation harnesses that continuously test AI output quality, implement guardrails to prevent harmful or incorrect outputs, and set up cost and latency monitoring. Every AI feature ships with rollback capability.

What is an AI evaluation harness?

An eval harness is a testing framework that runs AI outputs against quality criteria, regression tests, and safety checks. It ensures model updates or prompt changes do not degrade output quality.

Ship AI that works.

Tell us what you're building. We'll respond with a plan that includes evaluation, guardrails, and monitoring.