Accelerate your organization’s AI maturity.

In 90 days, we give you the training, governance, and strategy to turn AI from a disconnected experiment into your company’s unfair advantage.

Claude Certified Partner · diiiploy.io

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01 / What you are buying

You are not buying training. You are buying a complete AI system already built.

Most companies buy licenses, send everyone on a course, and hope. Ninety days later they have a bigger bill and no capability. We install the platform first, secured and connected, and your people start on day one with something that already works.

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02 / The fork

There are two ways to do this. One of them wastes a year.

The common path

Buy the seats, run the training, hope it lands

Hundreds of individual subscriptions bought at once, with nobody tracking who uses them
No security review done first, so IT finds out afterwards
No visibility on spend, so the bill arrives as a surprise
Employees taught what a prompt is, what a skill is, how to build an app, and left to figure out the rest
Nine weeks later they can use the tool slightly better. The business has not changed.

What we do instead

Install it, secure it, connect it, then hand it over

One connection per employee, giving each person exactly what their role allows and nothing else
Security, governance and access decided up front, not retrofitted under pressure
Spend visible per person and per team from the first week
Pre-built agents, skills and a knowledge base already in place before anyone is trained
Training becomes how to use AI in your day, not what is an agent

You don’t teach them what’s a skill, what’s a prompt, what’s an agent, go build an app, go vibe code. They don’t need any of that. They talk to their agent that already has all their stuff connected.

03 / What is in it

Two audiences. One platform. Different things matter to each.

Every deployment has two buyers in the room. The executive who has to justify it, and the employee who has to use it. This is what each one gets, and why it matters to the company writing the cheque.

For executives and IT	What it means to the business
Usage and adoption by person and by team	You know which departments have actually adopted it and which have stalled, while there is still time to fix it
Spend visibility, per person, updated continuously	No surprise invoice. You see the cost building and can move budget to the people who generate return
Access and permissions by role	Your security team approves one model rather than fielding hundreds of individual requests
The roadmap and delivery view	You can show a board what is live, what is next, and what it is returning

For every employee	What it means to the business
One connection that brings their own tools and documents with it	No per-person setup project, no IT ticket queue, no six-week rollout
Enterprise search across what they are allowed to see	People stop guessing which system holds the answer, and stop asking colleagues
Pre-built agents and skills, working on arrival	Value from week one instead of after a training program
A knowledge base and training built around their own work	Adoption rises because the first experience is useful, not abstract

04 / Time to value

The point is not that it is fast. It is that the hard part is already done.

The reason most programs stall is not the training. It is that nobody sequenced the infrastructure, the security review and the access model before asking people to use the tools. That work still has to happen, and it happens while everyone waits.

We do that part first, as the product, rather than discovering it as a problem.

They don’t have to go through ninety days of training. We can spread it over ninety days, but they can get started right away.

05 / What it replaces

The cost case is displacement, not productivity.

Time-saved arguments do not survive a finance review, because nobody can point to the hours. Contract displacement can, because there is an invoice with a renewal date on it.

What you stop paying for	Why it goes
Standalone enterprise search	Included from month one rather than bought separately. Expected savings of $75,000 to $300,000 a year against what companies of this size typically pay.
Oversized platform contracts	A recent client replaced a $1.5M annual ServiceNow contract with AI and saved 80 percent.
Uncontrolled AI seat sprawl	Licenses distributed to the people who actually use them, with spend visible per head, instead of hundreds bought at once and never measured
An external build for agents and observability	Bundled rather than a separate consulting engagement

06 / What we are not

This is a pre-configured platform, not a bespoke build.

The first ninety days are deliberately not custom. You get what we have already built, connected to your systems and secured for your organization. Once your people are using it and you can see where the value lands, we scope the custom work against evidence rather than guesswork.

This is a product. This is a pre-configured platform that addresses ninety percent of what you want. Then the training, then the customization, then the departmental solutions on top of that.

07 / The outcome

What your people say at the end.

What they can’t walk out saying nine weeks later is “great, I know how to use Claude a bit better than I did.” They want to walk out saying “I know how to enable my business with AI.”

That is the whole difference. One is a course people attended. The other is a capability the company now has.