AI Development

AI Building Blocks

Once we have a complete picture of where AI-enabled improvements make sense, we get to making them real. These are the approaches and common AI components we deliver.

Application

Workflow Process & System Shortcut

Take a close look at your processes & workflows. You’ll likely find places where humans perform a simple brainless task, again and again. For example, checking a customer’s details by searching online. It’s simple enough, and AI can do the same, as well as or better than your team.

The scope is narrow and AI works great, with little or no training. We build small, custom bolt-on applications. They connect to your existing systems and pull in a small amount of data — only what’s needed to do the job. Send it off to AI, get the result, and push it back into your system.

They’re inexpensive to build, highly reliable, don’t expose your data, and make you more efficient. Build in a few, and the results really add up.

Application

Human Error Checker

We all make mistakes. In some cases, mistakes can be very expensive. With a training dataset, AI is exceptionally good at pattern matching, although, ironically, it doesn’t know why. If you maintain electronic records of any human process that indicate ‘correct’ or ‘incorrect,’ AI can deliver a meaningful improvement in managing your human error rate.

It isn’t perfect, but it will monitor and flag work that has a high ‘mistake probability.’ This type of application is bolted onto your current workflow solution. It monitors work flowing through your process in a narrowly defined area, and raises a flag if something seems off.

The cost of build is relatively low. The training is straightforward, and if done properly, the result is significantly, undeniably better.

AI-agentic enhancements, improving systems & processes you already have.

Application

Bridge Disconnected Systems

Standalone ‘narrow scope’ systems that bridge data between systems that aren’t connected. The most common approach leverages AI to summarize relevant information on one system, in human-consumable format, which is then embedded into another system.

Here AI shines — useful information, little or no need for training, providing users visibility across systems. And, avoiding the cost, time and pitfalls of deeper system-to-system integration.

Inexpensive, effective, quick to deliver.

Application

Old Records, Made Usable

Archives, scan piles, legacy files, and trapped business records: searched, extracted, organized, and available to your people and contemporary systems.

Many companies have valuable business know-how buried in old documents. The process of a human searching through them for those nuggets of value manually is so time-consuming it just isn’t worth it. AI changes that.

This type of AI application leverages AI’s inherent ability to process, organize and extract information. A simple console that accepts a regular human question can return everything from your legacy documents likely to be relevant, in a matter of seconds.

These solutions are stupid simple, and the AI can be isolated onsite, protecting your proprietary information.

The Time Is Now

A Basket of Small Adds Up

Build in a few, and the results really add up. Go GrayWire.

Initial assessment at no cost

Platform agnostic approach

Focused on sustainable AI-transformation

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Let’s talk and get to know your business. Our offering is tailored to where you’re at today, and what you need. Every client is different, and we look to provide you with what you actually need, quickly, without the extra overhead.

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