Open Peak Solutions

AI & Automation

We add AI features where they can help with a specific task, then test their output and give users a way to review or correct it.

Developers gathered around a monitor to review their work

Overview

Start with one workflow, such as finding an answer in internal documentation or preparing a support reply. We connect the relevant data, define access rules, and compare results with your current process.

What we deliver

LLM Application Development

Search, drafting, and summarization features inside your existing applications.

AI Chatbot Integration

Assistants that help staff or customers find information and complete a task.

Retrieval-Augmented Generation

Answers that draw on approved documents and link back to their sources.

AI Agents & Workflow Automation

Workflows that call approved tools, with review before sensitive actions.

AI-Assisted Data Processing

Extraction, classification, and summarization pipelines for operational data.

AI Quality Evaluation

Evaluation frameworks that measure accuracy, latency, cost, and failure modes.

How it works

  1. 1.Frame

    Identify high-value use cases and risk boundaries.

  2. 2.Prototype

    Validate model behavior against real sample inputs.

  3. 3.Integrate

    Connect data sources, tools, and application surfaces.

  4. 4.Evaluate

    Measure quality, iterate prompts/pipelines, and deploy carefully.

Technology we use

We choose tools for fit and longevity, and we’re happy to work within your existing stack.

  • Python
  • LLM APIs
  • RAG
  • Vector Search
  • Node.js
  • Document processing

Frequently asked questions

Do you recommend AI for every problem?

No. We first check whether a search improvement, a rules-based workflow, or a simpler integration would solve the problem. An AI pilot needs a specific task and a way to measure its results.

How do you handle sensitive data?

We design around least-privilege access, data minimization, and deployment patterns that match your security and compliance requirements.

Can you improve an existing AI feature?

Yes. We audit prompts, retrieval quality, tooling, and evaluation coverage, then improve reliability and cost efficiency.

Talk to us about AI & Intelligent Automation.

Share what you need to build or improve, your current setup, and any deadlines. We’ll discuss the scope and next steps with you.

Developers gathered around a monitor to review their work