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Red RocksTechnology Group

Practical AI, applied where it genuinely helps.

AI is well suited to a specific set of problems: finding information, working with documents, drafting, summarizing and classifying. We provide AI consulting and implementation for small and mid-sized businesses, building private assistants and AI-enabled workflows around your own data and systems, and we are direct about when a simpler approach is the better choice.

Discuss Your Project

Projects start at$3,500

02Artificial Intelligence

AI should earn its place in your business like any other tool.

Most businesses do not need an AI strategy so much as a clear answer to a practical question: is there work here that AI can do reliably, safely and at a reasonable cost? Often there is. Teams spend hours searching for information buried in documents, drafting similar proposals, answering routine questions and sorting incoming requests.

We design AI systems around those specific tasks, grounded in your own information and connected to the tools your team already uses. The goal is not to add AI to everything. It is to remove work that does not need a person's full attention, while keeping people in control of the decisions that do.

Capabilities

Where AI is useful today

  • 01

    Internal knowledge assistants

    Assistants that answer questions from your policies, procedures and documentation using retrieval-augmented generation (RAG), with references back to the source.

  • 02

    Document search and retrieval

    Search that understands meaning, not just keywords, across contracts, manuals, records and shared drives.

  • 03

    Customer support assistance

    Drafted replies, suggested answers and faster triage for your support team, reviewed before anything reaches a customer.

  • 04

    Proposal and document generation

    First drafts of proposals, reports and routine documents assembled from your templates and past work.

  • 05

    Summarization

    Concise summaries of long documents, meeting notes, email threads and case histories.

  • 06

    Classification and routing

    Incoming email, forms and documents sorted, tagged and sent to the right person or system automatically.

  • 07

    Workflow agents

    AI steps inside larger automated processes, with defined boundaries, logging and human approval where it matters.

  • 08

    Business-specific copilots

    Assistants built around a particular role or process in your company rather than a general-purpose chatbot.

  • 09

    Private and local AI

    Self-hosted or privately deployed models when sensitivity, compliance or cost make a public service the wrong fit.

  • 10

    AI inside existing software

    AI capabilities added to the CRM, help desk, document system or internal application your team already uses.

Honest assessment

Is AI the right tool?

Many problems that look like AI problems are really data, process or integration problems. Not every process needs AI, and adding it where it doesn't belong makes systems more expensive and less predictable. Before recommending a model, we look closely at the work itself.

Questions we ask first

  1. 01How often does the task happen, and how long does it take today?
  2. 02How much variation is there from one instance to the next?
  3. 03What would a mistake cost, and who would catch it?
  4. 04Would a simpler, rules-based automation be more reliable?
  5. 05What data is involved, and how sensitive is it?

If the answer points to conventional software or automation, we'll recommend that instead. When AI is the right fit, we build it with clear boundaries on what it can do.

How we design AI systems

  • Grounded in your information

    Assistants answer from your approved documents and systems, with references to their sources, rather than relying on a model's general knowledge.

  • Your data stays governed

    We design access controls, retention and data handling deliberately, and use private or self-hosted models when the situation calls for it.

  • People stay in the loop

    Where decisions carry real consequences, AI drafts and recommends while a person reviews and approves.

  • Model-independent

    We choose between commercial and open models based on quality, cost and privacy for your use case, and keep the system adaptable as models improve.

Investment

Scoped to the problem, not padded with complexity.

Starting at

$3,500

AI business systems start at $3,500. The final scope depends on the data involved, the systems it connects to and the level of review and control the workflow requires.

Not sure what you need? Start with a Technology Assessment ($500).

A focused review of your operations, systems and goals that ends with clear, prioritized recommendations. The fee may be credited toward a resulting implementation project.

How we work

We stay with it from first conversation to production.

  1. 01UnderstandWe learn how your business operates, where the friction is and which outcome actually matters before discussing any technology.
  2. 02DesignWe determine the simplest technical solution capable of solving the problem, and agree on scope, cost and timeline before building.
  3. 03BuildWe engineer, integrate and test the system, sharing working progress along the way instead of disappearing until launch.
  4. 04DeployWe put it into production and make sure it works in your real operating environment, with your data and your people.
  5. 05SupportWe maintain, improve and extend the system as your business evolves, so it keeps delivering value after launch.

Questions

Common questions

Something else on your mind? Ask us directly.

What can AI realistically automate in a small business?

AI is reliable for work involving language and documents: answering questions from your own documentation, searching contracts and records by meaning, drafting routine documents, summarizing long material, and sorting incoming email, forms and requests. It is less suited to decisions where a mistake is costly and nobody reviews the result. There, we design AI to draft and recommend while a person approves.

Do we need to put our data into ChatGPT?

No. We choose between commercial and open models based on quality, cost and privacy for your use case, and design access controls, retention and data handling deliberately. When sensitivity or compliance calls for it, we use privately deployed or self-hosted models.

Can you build private or internal AI systems?

Yes. Internal knowledge assistants, business-specific copilots and AI features inside your existing software can be deployed privately, with access limited to the people and information they are meant for.

What is the difference between an AI assistant and workflow automation?

An AI assistant works with language: it answers questions, drafts and summarizes, usually with a person asking and reviewing. Workflow automation moves information between systems according to defined rules, the same way every time. Many useful systems combine the two, such as an automated process with one AI step that classifies incoming documents. If rules alone can do the job reliably, we recommend automation without AI.

How much does an AI system cost?

AI business systems start at $3,500. The final scope depends on the data involved, the systems it connects to and the level of review and control the workflow requires. Ongoing model costs are part of the design conversation, and we choose models with that cost in mind.

What is slowing your business down?

Whether it's repetitive work, disconnected software, an outdated website or a system that doesn't exist yet, let's work out what technology can actually solve.