The AI department for companies doing $100M+

Your AI partner for the next decade

We become your company’s AI department. We audit to find every spot AI fits. Then we build it, run it inside your walls, train your people on it, and prove what it saved, every month.

Talk about an AI Audit See the work

AI Agent Deployed

System

Engineering Release Assistant

Part number read
Like parts found
Release fields filled
Company rules checked
Staged for approval
Engineer approves

Automation progress0%

Running…

Trusted by the companies we build for

Your teams were told to use AI, but nobody showed them how.

The licenses get bought. The credits get burned through. Projects start and stall halfway. Nobody owns it, so there is no direction. And the people who know the work best are too busy doing it to figure out where AI fits.

This is the gap RizeTech fills. We become your company’s AI department. We set the direction on where AI goes, build it, run it, and grow it with you, month by month.

What leadership wants answered

Three questions, answered in writing.

Nobody is short on AI tools. They are short on direction: someone who will say where AI belongs in their business, what to do first, and how to make it stick. That is what we are. The tools are how it gets delivered.

Where does AI actually fit?

Not every process needs it. Some already work. Some depend on judgment. We walk every department, find the spots where AI pays, and say plainly where it does not.

What do we solve first?

There is a lot of noise. Every company has dozens of places AI could go, and most are not worth the first build. We score every one on ICE: impact, confidence, and ease. Then we rank the list and build the best one first.

How do we make it stick?

A system nobody uses is worth nothing. Every build is wired into the tools your people already open, and they are trained on it until it is just how the work runs.

How it works

Before we build anything, we audit.

We meet with every department that wants to use AI, sit with the people doing the work, and find every single spot AI can go. Every finding goes in writing, with the time it saves, the money it saves, and how we would build it. Just the findings.

How we do it

01
Pick the scope
One department, one area you want AI in, or the whole company. Your call.
02
Meet every department that wants AI
The head of each one and the people under them. Where the hours go, what gets retyped, what only one person knows how to do.
03
Shadow the people doing the work
We sit next to them and watch the real work, in the real systems, one person at a time.
04
Write down every spot AI could go
Each one as a plain sentence: this goes in, that comes out. Then we put the numbers next to it.

What you walk away with

The audit findings. Every department, every spot, in writing.

Every place AI could go

Across the scope you picked, department by department, not just the obvious ones.

The time it saves

Hours a week, measured against how long the work takes today.

The money it saves

Those hours at your own cost per hour, plus the mistakes that stop happening.

What you get back

Information sooner, decisions faster, people freed for the work they were hired for.

An ICE score

Impact, confidence, and ease on every finding, so the order is obvious.

How we would build it

The steps from start to finish, what it reads, what it writes, who approves.

How we would work with your IT team

What it touches, who can reach it, what it logs, and what IT has to say yes to.

Who it helps

The people and departments on the other side of every finding.

Then you decide. Build one finding at a time, or take the seat and we become your AI department.

How a finding gets built

We turn your SOPs into AI workflows.

Most of what the audit finds is a process somebody already wrote down for a person. Every one of those, we hand to an agent. The steps already exist. We change who runs them. Here is what that looks like.

The SOP, as written for a person

1Open the request email
2Look the customer up in the system
3Check the order against the rules
4Fill out the form
5Anything over the limit goes to the manager
6File it and log it

The same SOP, run by an agent

Reads the email the moment it lands
Pulls the customer record
Checks every rule, every time
Fills the form from the data it already has
Routes the exception to the manager with the reason
Files it, logs it, and shows you it did

Same steps, same rules, same systems. The person who used to do it now approves it.

How we do it

01
Start with the SOP you already have
The checklist, the Google Doc from 2019, or the version that lives in one person’s head. If it is not written down, we write it down during the audit, exceptions included. That is a finding too.
02
Turn every step into a rule or a decision
Most steps are rules: look this up, copy that over, send it here. Those become plain automation. The few steps that need judgment get AI, and only those.
03
Wire it into the systems you already use
The same ERP, CRM, inbox, and spreadsheets your people open today. No new software to learn, no rip and replace.
04
A person approves, the agent runs it every day
Nothing gets sent, entered, or released without someone on your team saying yes. Then it runs on every order, every invoice, every request, at any hour.

The AI Partner seat

Not a vendor on call. Your AI department.

Our offer is to build, and to be, your AI department. Instead of bringing us in for one piece at a time whenever something comes up, we run your entire AI department: building, training, supporting, and measuring success, across every team, every month.

The usual move is to hire an AI director, who still has to learn the business, find a vendor, and build a team. We are the director and the vendor, live on day one. And the day you take the seat, we take the audit findings and build out your roadmap. We figure out what comes next. You never have to.

We fix what your teams named,
quick wins first, so hours come back in the first weeks.
We capture what your people know
in agents and tools you own, so every team works faster today and the knowledge stays when people retire.
We work inside your rules,
on the tools and security IT already approved.
We prove it every month,
in hours and dollars your own teams can confirm.
You own everything we build. We bring the method, the work, and the proof.

Everything we do, every month

The big wins

We build agents

An agent is a digital team member that takes a whole job off someone’s plate. Each one runs a full process from start to finish, around the clock, the same way every time. Built in roadmap order, one lane, always one in flight.

Your people stop doing the work and start approving it.

The quick wins

We build tools

This is how the low hanging fruit gets done. Every person gets their own helper inside Copilot, ChatGPT, or whatever you already own. It takes a task they repeat every week and turns it into one step, so a 20 minute task becomes one click. We build it with them on their real work, and it works that same day.

Every person gets faster, every month.

Every month

We train every department

Hands on sessions every month. Every session builds a new tool with the person who will use it, with a follow up the week after. Training is not the product. It is what happens when people build with us. An official RizeTech certificate for everyone who completes it.

Your people become builders.

Shareable workflows

A site for every department

Every session, tool, recording, and guide in one place, updated every month, with a chat agent that answers questions from all of it. A tool built with one person is saved there so anyone on the team can run it.

One person’s win becomes the team’s.

Any time

Support on anything you’re building

A shared channel on Teams, Slack, or your department’s site. Anyone at your company can ask about what they are building with AI, whether it is an agent we built, a tool we built together, or something they are working on themselves. Our team can help with all of it.

Never a ticket queue.

All month long

We keep it all running

Everything we build is hosted, watched, fixed, and improved as your systems and people change. Fixes and changes are part of the month, not a new quote. When you move to a new system, it moves with you.

Nothing built and left behind.

From week one

We work with IT

A fixed review slot with your IT team. Version one of every build runs on what IT already approved. Every full build arrives as a ready to review proposal that says what it reads, who can reach it, and what it logs.

Leadership approves the destination. IT approves the route.

Every month

Proof, every month

Leadership gets one report with everything: every agent and tool we built, who is using them, the hours and dollars they are saving at your own numbers, and spend to date. Then the monthly review, where the next builds get picked.

You never have to ask if it is working.

One build lane per seat

always something in flight

Twelve month term

then month to month

Priced once

by the audit findings, not renegotiated after

Nobody on your payroll

the team is already here

Talk about an AI Audit

Department by department

What it looks like in each department

Every company is different, so every plan comes from the audit. Here is the kind of work we take on.

Engineering

Engineering and document control

Release paperwork, approvals, and the rules only a few senior people know. We capture how the work really runs and build around it.

Agents

Fills release fields from a part number
Suggests approvers, with the reason for each
Tracks work in progress so nothing sits waiting

Copilot tools

Technical writing help inside Copilot
Change summaries for review meetings

Training

Engineers learn to build tools for their own repeat work, on their own drawings and documents.

Some projects we’ve done

A few of the companies that run on systems we built and maintain.

View all case studies

Real estate · Wisconsin

Services running

How a property group automated six recurring jobs across four departments

Follow-ups, hiring outreach, tenant reminders, and collections were eating the team’s week. Six AI systems now handle all of it, with no new headcount.

Departments covered

Added headcount

Read the case study

Energy · Enterprise

Services running

Custom AI running inside one of America’s largest private companies

Their security team put our entire stack through a formal review before anything went live. Today four custom systems run inside their environment, fully owned by them.

Security review passed

100%

Client-owned

Read the case study

Energy services · Multi-state

Agents running

Seven AI agents recruiting five locations and selling across two states

This company hires nonstop and sells in two states. Seven agents keep the recruiting pipeline full and hand the sales team prospects who already want to talk.

Recruiting agents

Calling agents, 2 states

Read the case study

Education · Custom CRM

Custom CRM built

They wanted off HubSpot, so we built them a CRM they own outright

Off-the-shelf software made their team work its way, and the bill kept climbing. We built a custom CRM around how they actually operate, owned outright with no per-seat fees.

100%

Team on it daily

Per-seat fees

Read the case study

For IT

Built for IT to say yes

Companies this size have software that has run the business for decades, data that must stay protected, one approved AI tool, and careful access rules. Every build is designed inside them. Leadership approves the destination. IT approves the route.

Starts on what IT already approved

Version one of every build runs inside the tools you already own and pay for. No new servers, no new system access. The hours start counting the week it goes live.

Day one, no waiting on IT

The full version comes to IT first

Every custom agent arrives as a ready to review proposal that answers four questions up front: what data it reads, who can reach it, what it logs, and how controlled data is handled. IT approves, asks for changes, or says no.

Version one never waits for version two

On your platform, under your rules

Servers, connections, and the way results reach your systems are IT’s choice. IT owns the admin login and the off switch. We work inside your existing agreements.

Your data stays home

Read only by default, smallest ask first

We start from a daily export or a view IT creates. Nothing writes into your system of record unless IT approves exactly how, and it is proven on a test copy first.

No surprise changes

A person approves every result

Nothing is sent, entered, or released without someone on your team saying yes. Rules first, AI only where needed, so results come out the same way every time and are easy to explain.

People stay in charge

Fully visible, fully measured

Activity shows in your own audit logs. People keep their own permissions. IT gets a monthly usage estimate and sets the spending limit. Regulated or export controlled data is handled only as IT allows.

Nothing hidden

Week one

Before we build anything, leadership, IT, and our team write one page together: your approved AI stack. Which cloud you run on, which AI tools are live and for whom, what a month of real use costs, what data can go in and what stays out, and who on our team may see what. One clear page ends the guessing, and your people get tools that are approved, paid for, and governed.

One partner for all of it.

AI is going to change how every department works over the next ten years. We’ll be there for all of it, building, training, and running it alongside your teams.

Start with a conversation

Get in touch

Talk about an AI Audit

A short first call, no pitch and no price. We learn how your company runs and where the hours go. If it fits, we scope the audit together. Book a time, or send a note and we reply within one business day.

Talk about an AI Audit

mason@rizetech.co (920) 932-6804