NovumAI
About Novum

We built it for ourselves first.

We were business owners and operators. We put AI to work in our own company before we did it for anyone else: trained the team, built the tools, connected everything. Now we do it for other businesses.

Book a conversationHow we work →
Our own companyBefore → after
  • A seat on every platformSoftware we own
  • Data spread across five toolsConnected, one source
  • AI logins nobody usedA team trained on real work
  • Repeat work done by handAgents draft, we approve
Our story

Operators first, software second.

We came to this as operators, not engineers. The hard part of AI was never the login.

  1. Where we started

    We ran a business

    On software paid for by the seat, with a workaround for every part that didn't fit, and a bill that climbed as we grew.

  2. The catch

    AI showed up

    Logins were easy. Getting the team to use it on the real work, on our own data, wasn't.

  3. What we did

    We did the work

    Trained our people on their own jobs, built the assistant and agents, connected the tools we kept, and cut what cost more than owning.

  4. Now

    We do it for you

    Same order for your business: teach the team, build the tools, connect the systems. You own all of it.

Who we work with

Built for the businesses that run on operations.

15 to 100 people

Operational businesses that know AI matters and don't know how to put it to work day to day. Usually no CTO, and nobody whose job is AI.

You'll recognize at least one
  • Your team already pays for AI tools nobody uses well.
  • The work runs on several tools that don't talk to each other.
  • You pay real money for a platform your team works around.
Industries we know well
Field ServicesLegalAccountingConstructionInsuranceHealthcareMarketing AgenciesManufacturingWholesale Distribution
What we believe

How we build, and what it looks like on the job.

01

Training is the job

A tool nobody knows how to use saves nothing. We teach your team on their own work before anything goes live.

In practiceMonthly sessions, and a recorded library your team keeps
02

AI should fit the work

Your team shouldn't bend its workflow to a template. The tools should be built around how you already work.

In practiceWe map how the work moves before we build anything
03

You should own what you pay for

The code, the data, the accounts, and the training library belong to your company, in its name.

In practiceHosting and accounts set up under your company from day one
04

Growth shouldn't raise your bill

No seats, no revenue share. Hiring people and winning work adds nothing to your software cost.

In practiceA build, then hosting. No per-person pricing
05

AI should work on your data

An assistant and agents that know your business, see only what each role allows, and never train on your records.

In practiceAccess limited by role, and a person approves what goes out
06

Map before you build

We learn how the work moves before we write a line of code, and you get the scope and price in writing first.

In practiceThe discovery fee is credited toward what comes next
Our word

What you can hold us to.

In personWe train your team on site, on their own work.
In writingScope and price before any build starts.
In 30 daysYour first build, live on your own data.
In your nameCode, data, accounts, and the training library.

The discovery guarantee. First build live in 30 days and more than the fee in yearly savings found, or the fee comes back. The terms →

Let's talk about your operation.

Tell us how the work moves today and what the software costs. We'll tell you where AI fits, and where it doesn't.

Book a conversation

The first call is free. Discovery is quoted in writing before it starts.