AI development & integration · 01 to 05

Every service starts with the same question, before anything gets built, with hope and doubt, with a good team, and with a no, sometimes.

Will it work in production? You don’t buy a build here until someone has answered that in writing. The assessment is free, the scope is signed, and everything below is priced off what the scope actually found. That order is the service.

Let’s find out

Product, tech, marketing and design.
With AI helping us deliver.

We’re Innovation Theory, a Denver company in business since 2011, helping clients with business strategy and building websites, mobile apps, products and brands. We use AI tools throughout that work, which makes it faster and cheaper, and a named person owns the scoping and the final call. InTheory is our AI delivery practice, and its five services are below. Whatever you need help with, start with a free written assessment, back in two days.

Assess. Scope. Build.
In that order.

Step 01
Free Assessment $0 · two days
We read what you have and where it hurts. Context is enough; code is welcome, never required. Two days later you know whether it’s worth a scope. If not, we say so and you keep the answer. See what the assessment asks for.
Step 02
AI Opportunity Audit $5,000 · within 5 business days
Your theory tested against a written rubric, with evidence, ranked findings, go or no-go, acceptance criteria and a production plan. Signed, and it stands alone. Take it anywhere, including to someone else’s build team. See what’s inside a scope.
Step 03
The Unlocks priced and scheduled by the scope
Five ways the work gets built. The scope decides which one you need, what it costs and how long it takes, which is why only the audit carries a price on this page: it’s how we quote the rest, and sometimes it rolls straight into the build.

You don’t have to know which door.
Here’s how to tell.

Find the sentence that sounds like your week. If none of them do, that is what step 01 is for, and it costs nothing.

“The demo works and the board is asking when it ships.” → Prototype to Production

Something real exists and real customers are coming. The work is the part that never had to hold.

“The same work happens every week and nobody was hired for it.” → AI Agents

A loop with a start and a finish, running on people who were meant to be doing something else.

“We looked. Nothing off the shelf fits.” → Custom AI Build

No product to buy, so the work gets done the hard way instead, every day.

“AI built it, it’s live, and nobody has looked yet.” → AI Security

You have had the thought already: what else can this thing do, for someone who isn’t me?

“I can’t even say which of those I am.” → Step 01, and it’s free

The most common answer, and the cheapest to resolve. Ten minutes of plain words, a straight answer in two days.

The five, side by side.

The same questions of each one, so the differences are the answers and not the wording. Only the audit carries a price here, because it is the only one whose size is always the same. The rest are priced by the scope, which is what the audit produces.

AI Opportunity Audit the scope, after the free assessment

The $5,000 step, after the free assessment. Your situation tested against a written rubric, and a verdict with a name signed under it. It is the only service here with a printed price, because it is the only one whose size is always the same.

What you get
A written answer from the assessment. Then one document, eight parts: the verdict on page one, ranked findings with evidence, scope and exclusions, acceptance criteria, a build plan with a clock, and the payoff in numbers. The anatomy, part by part.
What it costs
$5,000 for the scope, after a free assessment that stands on its own. A no-go costs the same as a go, on purpose.
The clock
Two days, then up to five business days.
What we need from you
Ten minutes and plain words at the free step: what it does, what built it, where it hurts. Code is welcome, never required; credentials never. At the scope, an NDA first, then whatever the questions actually need. And one thing no form supplies: a willingness to hear no.
Not this if
The build decision is already made and funded whatever a document says. A scope you intend to overrule is $5,000 spent on ceremony, and we would rather say that now.
Proof
BUSTA. We stopped guessing and measured the ceiling: two formal load tests, 120 then 350 safe concurrent users, and the failure written down while it was still embarrassing.
AI Agents agentic systems, in your operation

Software that carries a defined job through your actual systems: reading where your data lives, acting through the tools your team already uses, stopping for a person at every call that matters. The lanes are research, ops, support and sales. The engineering is the wiring and the permissions.

What you get
An agent wired into your operation, running in your accounts under least privilege so you can revoke it. The permissions decision on paper before it runs: what it does alone, what it brings to a person, what gets logged. A named owner, a runbook, an incident plan, and a written answer for the day a model changes underneath it. AI Agents in full.
What it costs
Priced by the scope, in writing, before the build starts. One agent reads a feed; another touches your books. They are not the same size and we will not pretend they are.
The clock
Set by the scope. Not guessed here.
What we need from you
Access to the systems it touches, granted in your accounts. A person with the authority to decide what it may do alone, because that decision is most of the build and it cannot be ours. And someone who will own it after launch.
Not this if
Nobody will own it. An unowned agent is a liability holding your credentials. If the job needs human judgment at every step, an agent adds a layer without removing work.
Proof
We build with agents in our own work every day, which is where the method came from. No client agent is on the public record yet, and Arkeo is the honest version of that: the chain got built, the AI half is still a plan. More named examples will follow as partners clear them.
Prototype to Production the last thirty percent

You have an AI-built app that works when you demo it, and it needs to work when strangers use it on a bad day. We take the prototype as the spec, keep what holds, replace what will not, and build the layer the demo never needed.

What you get
A read of the build first: what stays, what goes, and the written reason for each. Then auth that keeps thousands of strangers apart, migrations and backups and an audit trail, error paths and fallbacks, a load test and a cost model in numbers, and the security questionnaire answered. It ships with deployment, rollback, monitoring and a named owner. Prototype to Production in full.
What it costs
Priced by the scope. Prototypes arrive in every condition and a number here would be a guess.
The clock
Set by the scope, before a line of production code moves.
What we need from you
The prototype itself, under NDA, repo included. Whatever you know about how it was built, including “a contractor did it and left.” The truth about whether real users or real data are on it already. And a decision made in advance: whether you can accept a scope that says part of it has to go.
Not this if
Nobody outside your building has wanted the demo yet. Hardening an unvalidated idea is money spent making a question more expensive. Validate first, and the free assessment will say so if that is what it finds.
Proof
Arkade. Rebuilt from scratch while the buckling old site stayed patched and trading. A 58-scenario green sheet, a 320px floor written into the standards, and 20 failures our own QA caught before a customer lost a game key.
Custom AI Build greenfield, with AI and your team

The from-zero service, for the problem no product solves. We map the workflow and the data before designing anything, then build with your team in the room, so what ships is theirs to run and change. You own it when we leave.

What you get
A system designed from your workflow outward and integrated with what you already run. Your team trained by building beside us rather than by handover deck. A finish line in writing before the build starts: acceptance criteria for function, performance and security, and what paying off means in numbers against how the work is done today. Documentation, monitoring, an incident plan and a named owner, before launch day. Custom AI Build in full.
What it costs
Priced by the scope. Greenfield has the widest range of sizes on this page, which is exactly why no number sits here.
The clock
Set by the scope.
What we need from you
Your team’s actual hours, not their approval. The people who do the work today have to be in the design, because they know it better than any requirements document. Access to the current workflow including the ugly spreadsheet version, and the numbers on how it gets done now, because payoff is measured against them.
Not this if
A tool off the shelf covers it, in which case buy the tool and the assessment will name it. Or the process is still changing month to month: software freezes decisions, and yours are not done moving.
Proof
ShapeShift. No product existed to buy. Concept with Erik Voorhees in 2014, live in summer 2015, more than a million transactions a day at peak, and a pattern the industry copied.
AI Security review · hardening · watch

A review of an AI-built system by people who build with the same tools daily and watch where they cut corners. We read your app the way someone hostile would, then tell you what we found, ranked, in writing.

What you get
Findings ranked by what being wrong would actually cost, in a document written to survive being handed to your own engineers or another firm. Coverage of the gaps AI-built systems ship with: keys in the bundle, database rules never tightened after the demo, the model as an entrance, dependencies nobody chose. Hardening and watch priced on the same page, decided by you with the list in hand. AI Security in full.
What it costs
Priced by what the review has to cover. A fix cannot be priced before it is found.
The clock
Set by the scope. If you think a key is already exposed, do not wait for us.
What we need from you
Context in plain words at the free step. Never credentials, at any step, by any channel. For the review, under NDA: the code, and enough architecture to read it honestly.
Not this if
You need a certificate. A review from us is not a SOC 2 report or an accredited attestation, and if your enterprise deal needs an auditor’s letterhead, hire the auditor.
Proof
Arkeo. 18 of 18 third-party audit findings resolved, every fix independently retested by the firm that found the bug, final report marked for public release. We did not grade our own homework.

What every engagement ships with,
whichever door you came through.

A name on it not a queue

Someone signs the verdict and someone owns the system at launch. Both are people, and you will know which ones.

Done, defined first before the work starts

Acceptance criteria for function, performance, security and accuracy, written before the iteration begins rather than argued at the end.

No-go is a real answer and it costs the same

If the honest finding is don’t build it, you get that in writing. We are not paid more for saying yes.

The document is portable yours to take anywhere

The scope is written to work in someone else’s build team’s hands, including a competitor’s. That is the point of buying it.

Paper before code NDA at the scope

The free step is designed not to need one. The NDA arrives with the scope, signed before any sensitive code moves.

Which door,
and what it costs.

What AI services does Innovation Theory offer?

Innovation Theory offers five AI services through InTheory, its AI delivery practice: the AI Opportunity Audit ($5,000, a signed go or no-go scope), AI Agents (software wired into a business’s systems to carry a defined job), Prototype to Production (finishing an AI-built app for real use), Custom AI Build (a system designed from one workflow, built with the client’s team) and AI Security (review, hardening and watch). Every one starts with a free written assessment; the three builds and the security work are priced by the scope the audit produces.

Which AI service do I need?

Innovation Theory’s AI services each match one situation: a demo that works while the board asks when it ships is Prototype to Production; the same work every week that nobody was hired for is AI Agents; nothing off the shelf fits is Custom AI Build; AI built it, it is live and nobody has looked is AI Security. The AI Opportunity Audit is the scope that comes before any of them. If none fits, the free assessment says which one, or that none is worth it yet.

What is the difference between the free assessment and the $5,000 AI Opportunity Audit?

The free assessment is a two-day written read of what you have: worth a scope or not, and roughly which kind. The AI Opportunity Audit is the scope itself: $5,000, within five business days, one signed document with a go or no-go verdict on page one, ranked findings with evidence, acceptance criteria, a production plan and the payoff in numbers. The assessment stands alone and is not part of the audit; the audit is what prices and schedules any build that follows.

Does Innovation Theory still do non-AI work?

Innovation Theory still does the work it has done since 2011: business strategy, product, tech, marketing and design, including websites, mobile apps, products and brands. AI now runs through that work on our side as a tool, which makes it faster and cheaper; a named person owns the scoping and the final call. A project does not need an AI feature to start with the free assessment.

Does Innovation Theory work with blockchain and crypto companies?

Yes. ShapeShift and SALT Lending launched out of our office, and we built CoinDesk’s brand and the Consensus brand for its first shows. Today we bring the same product, tech, design and marketing work to crypto teams, with AI for support cases, compliance files and payment exceptions, and nothing near custody, signing or treasury. More on AI for blockchain teams.

In theory, one of these is yours.
Let’s find out.

Let’s talk