AI implementation for teams

Your team is using AI.
Now make it actually useful.

A four-week, hands-on program for teams of 5–20. We turn your team's real work into reusable AI workflows, one automated process, and a working prototype.

See what you get
No pitch. We'll look at your current AI use and tell you honestly if this fits.
THE FOUR WEEKSLIVE · UP TO 20 PEOPLE
01
See the real landscape
Choose the right AI tools for your actual work.
02
Build reusable AI workflows
Turn repeated work into reliable, shared processes.
03
Automate one real task
Your team ships something it actually needs.
04
Ship a working prototype
Demo a useful internal tool built around your business.
Then a 30-day check-in. Recordings and your shared library stay with the team.
250+
Professionals trained
4.9
Average rating
20
People per team
1
Dedicated mentor
The problem

AI adoption isn't the problem. AI adoption that sticks is.

Your team has access to ChatGPT, Claude, Gemini or Copilot. A few people are experimenting. But there is no shared way of working, no reliable standard, and no clear path from “interesting demo” to “this saves us time every week.”

01

Everyone uses AI differently. Prompts, quality and results vary from person to person.

02

Nobody is checking whether the outputs are actually good enough for your business.

03

Generic webinars show possibilities. Enterprise programs cost too much. Your team needs the middle ground.

That's the gap we fill.
The outcome

Don't leave with notes. Leave with things that work.

In four weeks, your team moves from experimenting with AI to using it inside real business workflows.

01

Shared workflows

A common way for your team to use AI for recurring work.

02

Prompt library

Reusable prompts built around your team's actual tasks and data.

03

One automation

A repetitive business task turned into a working automated process.

04

One prototype

A useful internal AI tool demonstrated live on the final session.

05

30-day support

A follow-up check-in to see what stuck and unblock what didn't.

Show, don't tell

Here's what we actually build.

Real workflows, automations and prototypes teams walk away with — not slides about what AI could theoretically do.

Messy manual inputs turned into a structured AI workflow with a prompt library and reusable templates, producing consistent dashboards and reports
CASE STUDY 01

From repeated work to a shared AI workflow

We took the manual back-and-forth the team was doing by hand and turned it into a repeatable AI workflow, complete with a prompt library and templates anyone can reuse.

AI automation engine that triages, routes, and completes business requests
CASE STUDY 02

One real task automated

We found the task eating the most hours every week and built the automation that now handles it end to end — sorting, routing, and completing it without manual input.

Working internal AI prototype dashboard your team can use every day
CASE STUDY 03

A useful internal AI prototype

By the end of the program the team has an actual working tool, not a slide deck — something people open and use to get real work done.

How it works

Four weeks. Your business. One working outcome.

Every session is built around your team's actual work, not sample data or toy examples.

WEEK 01

See the real landscape

Claude, ChatGPT, Gemini, Copilot and other tools — mapped to your industry and the jobs your team actually does.

WEEK 02

Build reusable AI workflows

Turn real work into repeatable prompts and workflows your team can use consistently instead of starting from scratch every time.

WEEK 03

Automate one real task

Your team chooses something repetitive it does every week and builds a working automation around it.

WEEK 04

Ship a prototype

A working internal tool tied to something you actually need, demonstrated live on the final call.

DAY 30

Check-in

See what stuck, unblock what didn't, and help the team keep using what it built.

YOURS TO KEEP

The knowledge stays

Recordings, workflows and your prompt library stay with your team for future use and onboarding.

Proof

Trusted by professionals who want practical AI, not another demo.

More than 250 professionals have trained with Ranbeer, with an average rating of 4.9/5.

AdobeMicrosoftGAP Inc.DeloitteNordstromUpworkTeamViewerCoca-ColaWBD
David Anderson, CEO of Lumea, on going from idea to a working AI agent in three weeks
Shivam Kumar, Head of Customer Support at Solvix, on 45% faster response times and 20+ hours saved weekly
Daniel Mitchell, Director of Analytics at Nexora, on cutting monthly reporting time from 3 days to 2 hours
Good fit

Built for teams that are ready to use AI.

  • 5–20 people
  • No dedicated AI or IT team
  • People already experimenting with ChatGPT, Claude or similar tools
  • Repetitive knowledge-work processes that could be improved
  • An owner, founder or team lead who wants practical adoption
Not the right fit

We're not trying to be your enterprise AI department.

  • Large-scale enterprise AI transformation
  • Generic awareness-only workshops
  • Long consulting engagements with no implementation target
  • Custom software development as the primary deliverable
Why this works

Most AI training stops at learning. We stay until something works.

Your team doesn't need another afternoon of impressive demos. It needs enough structure, practice and follow-through to change how work gets done.

Real business data

We work from your team's actual workflows and problems, not generic examples.

Hands-on implementation

The team builds during the program instead of passively watching.

Shared knowledge

Workflows and prompts become reusable team assets rather than individual tricks.

Follow-through

The 30-day check-in gives the team a reason to keep using what it built.

Investment

One team. One program. No per-seat pricing.

The exact scope depends on your format, team and implementation depth. We agree on the number before anything is committed.

PRICING
$3,000–$8,000
FLAT PER TEAM · UP TO 20 PEOPLE

Includes the four-week live program, hands-on implementation, your team's reusable AI assets, and the 30-day check-in.

  • 4 live sessions
  • Up to 20 people
  • Real business workflows
  • Shared prompt / workflow library
  • One automation target
  • One working prototype target
  • Recordings
  • 30-day check-in
No per-seat pricing. No enterprise contract.
Questions worth asking

Before you book.

A few practical questions we hear from small teams.

We're a small team — is this overkill?

No. It's designed specifically for teams without a dedicated AI or L&D department. The goal is practical implementation, not a large transformation project.

Do we need everyone to already use AI?

No. Some familiarity helps, but the program is designed to create a shared baseline and shared workflows across the team.

Is this a pitch for one AI tool?

No. The program can cover Claude, ChatGPT, Gemini, Copilot and other tools. The focus is choosing what works for the job.

Virtual, on-site, or hybrid?

Virtual preferred. Open to travel, based on initial call.

What if it doesn't work for us?

The intro assessment is designed to establish fit before you commit. We'll tell you honestly if the program isn't appropriate for your team.

Start with one conversation

Let's find one thing your team can improve with AI.

Tell us your business, team size and industry. In a 20-minute conversation, we'll look at how your team currently uses AI and tell you whether this is a fit.

20 minutes · no pitch · honest answer on fit