// AmplifyAI · AI for your team

Your team is already using AI. We’ll make it safe, and worth it.

Owning IT is in our nature.

We set up Copilot or Claude properly, train your people, keep your data where it belongs, and show you every month whether it’s paying off.

Make our AI safe and useful → See what it costs

Behind: RITIS Productivity, the reporting included with AmplifyAI — sample environment shown.

// Sound familiar?

“Half my team is pasting client info into ChatGPT, and I can’t stop them.”
“We bought Copilot licenses. Nobody uses them.”
“Everyone says we need AI. Nobody can tell me what for.”

// What it’s like with us

Your team uses approved AI tools, with clear rules.
Client data stays where it belongs.
People actually use the licenses you paid for.
A monthly report shows the hours saved and what it cost.

Hand us the AI question. You’ll get the answer and the results.

Three coworkers gathered around one laptop at a sunny shared table, trying out a new tool together

// Before & after

What changes when we own it

Before: Staff use whatever AI tool they find.

With DivergeIT: Approved AI tools, with clear rules, and we spot the others.

Before: Licenses sit unused.

With DivergeIT: Your team learns it in 30 days, and you see who’s using it.

Before: No idea if it’s worth the money.

With DivergeIT: A monthly report shows the hours saved and the cost.

An engineer’s hands taking notes beside a keyboard during a support call

// The people

The person who answers knows your name.

Not a script, not a phone tree. When you call, you get someone who knows your office, your setup and what went wrong last time. They stay with it until it’s fixed.

We’ll never ask for your password or a code by phone or email. If anyone does, hang up and call the number on your contract.

// What's included

Inside AmplifyAI

AmplifyAI is one AI Success Team to manage it all. Not a ticket queue — a dedicated team that governs, supports, and grows your Microsoft Copilot or Anthropic Claude investment: adoption reporting, shadow-AI detection, cost visibility, and a skill library your people actually use. And when you are ready to build, forward-deployed engineers from that same team embed with yours.

Every engagement starts with a 30-day onboarding: audit the environment, set the acceptable-use policy, roll out pilot-first, light up reporting, and your Success Team goes live. AI ships governed, adopted, and measured from week one.

AI Success Team

One team to manage it all: designated Copilot or Claude experts, best practices, and a 1-business-day response SLO with recurring business reviews.

Forward-deployed engineers

An AI engineer embedded with your team — maps your workflows, builds the agents that move the needle, then hands them back managed.

Adoption & usage reporting

Active users, session depth, and adoption by team — plus token and usage cost visibility by user and team.

Shadow-AI detection

See unsanctioned AI use across the organization, with tool blocking and enforcement available when detection is not enough.

Skill library & custom skills

Pre-built skill library with marketplace plugin and connector support — plus custom skill generation refined against your real workflows.

30-day onboarding

Audit, govern, roll out, measure, activate: platform configuration, M365 data-risk review, enforced AI acceptable-use policy, and pilot-first rollout.

// RITIS · Productivity

Adoption you can see, not adoption you assume

The hardest question about an AI rollout is whether anyone is using it. RITIS counts real activity per licensed person across Email, Teams, Files and Copilot, which is how AmplifyAI reports on whether the seats you bought turned into habits.

The Productivity module. Adoption per service, counted per person. Sample environment shown.

What the Productivity screen scores

Email99%
93 of 94 active · 30 days
Teams78%
73 of 94 active · 30 days
Files80%
75 of 94 active · 30 days
Copilot17%
15 active · 16 ever used

See the Productivity module → Try it on your data

Also reported here: Support. All five domains roll into one RITIS Score.

// Pricing

Every rate we charge is published in one place

AmplifyAI tiers, what each one includes, and the assumptions behind the numbers — on the pricing page, not scattered across the site. Call or chat and you reach a live expert within 5 minutes, or you receive a $100 credit.

See pricing →

// What changed for them

“The team produced an amazing AI tool that is going to maximize our team's efficiency.”

Gary R. · CEO, Creative Design GroupMore client stories →

// FAQ

AI Solutions questions, answered

What is the AI Success Team?

One team that governs, supports, and grows your AI investment — Microsoft Copilot or Anthropic Claude. It covers adoption and usage reporting, designated-tool support, a pre-built skill library, shadow-AI detection, and cost visibility, with a 1-business-day response SLO. It is a success team, not a helpdesk — the same team includes the forward-deployed engineers who build.

What do forward-deployed engineers actually do?

An AI engineer embeds with your team, maps your workflows, and builds the agents that move the needle — then hands them back managed. Every build lands on your Success Team agent meter, monitored and maintained. Work is hourly or scoped project, with no commitment required.

What does the first 30 days look like?

Five steps: audit your platform configuration and M365 data risk, set an AI acceptable-use policy enforced in tenant settings, roll out pilot-first with the AmplifyAI skill library, light up usage and spend reporting, and go live with your Success Team.

Copilot or Claude — which one?

Your Success Team supports either. We recommend by fit against your workflows, data estate, and budget — and the team, skill library, and governance model work the same on both.

What is a managed agent?

An AI agent we built or onboarded that runs in your environment under Success Team management — monitored, maintained, and metered at a flat per-agent monthly rate rather than by usage surprises.

// How we run it

// Related services