AI Operating Standard — B2B Marketing & Sales Training | Oren Greenberg

Stop treating AI
upskilling as an
afterthought.
Treat it as
infrastructure.

Deep AI fluency training for B2B marketing and sales teams. Turns scattered, surface-level usage into shared standards, automated workflows, and higher quality output across the team.

Book a Free AI Audit Call  →
The Problem

You're a growth leader at a B2B company and...

If any of these feel uncomfortably familiar, keep reading.

01

You see some people on the team use AI every day. Others barely use it at all. Quality and volume vary person to person.

02

You look at the output of your team and it doesn't reflect what AI actually makes possible. The work is the same. It's just slightly faster.

03

You know teams at similar companies, with the same headcount, are doing more. You can feel the difference. You just haven't been able to name why it exists.

If you said yes to any of the above, the following was built for you.

Why It Happens

Most teams fail to reach AI's full potential because they take 1 of 2 paths.

Both end in the same place — same team, same output, while competitors pull ahead.

Path 1

Fragmented AI Adoption

The team is left to figure it out alone. Each person develops their own individual habits with whatever tool they happened to pick up. Usage stays shallow and invisible to leadership.

Path 2

Generalist AI Training

A one-off workshop covering basic prompting. Not built for marketing or sales teams specifically. People leave with a few tricks but no shared system, no integrations, no workflows.

Each path leads to the same place
Operating At Headcount.

Same team, same output, while competitors pull ahead.

The Fix

A Shared AI Operating Standard

Instead of using AI to assist basic tasks, embed it into how your team operates.

One shared operating system

  • 01

    Shared context

    Brand voice, ICP, messaging — loaded permanently into tools so every output starts from the same baseline.

  • 02

    Shared workflows

    Repeatable tasks built once, run by anyone, consistent output every time.

  • 03

    Real integration

    AI connected to the actual systems the team uses — Notion, CRM, Slack — not stuck in a chat window.

Across a team that's AI-fluent

  • 01

    Model selection

    A team that knows which model to select for different task types — not defaulting to one model for everything.

  • 02

    Few-shot prompting

    A team that uses few-shot prompting — knows why AI sounds like AI and breaks the pattern.

  • 03

    Quality loops

    A team that uses quality loops — multi-agent critique and iteration to lift output beyond the first draft.

Operating Above Headcount

Same team. Same salaries. Same hours. The team simply learned to use AI in a way that changes what each person can do in a day.

Format

Programme Format

Designed around how marketing and sales teams actually learn — short theory, long practice, real assignments.

8 Sessions
8 Weeks
75 Min per Session
Structure
~20 min theory + ~50–55 min hands-on walkthrough.
Audience
Marketing and sales teams. Mixed seniority welcome.
Delivery
Remote via video call + Slack support + after-session assignments.
Pricing

Per-Participant Pricing

Lower per-seat cost as the cohort grows. Minimum 5 participants.

Up to 10 participants
£750
per participant
For smaller leadership-led cohorts
50+ participants
Custom
pricing
For multi-team / multi-region rollouts

* Minimum 5 participants.

Value Calculator

See the return before you commit.

Adjust the inputs to estimate the productivity value this training creates — compared to what it costs.

Number of participants 15
Average annual salary £60,000
Average years remaining at company 3 yrs

Based on a 30% productivity uplift per participant.

Estimated productivity value
£810,000
Programme cost
£10,125
Return on investment
80×
Book a Free AI Audit Call  →
Rationale

Progression Rationale

The order is intentional. Each phase builds on the last.

Phase 1

AI Literacy

Sessions 1–2

Foundational prompting that makes everything else work.

Phase 2

Content Creation

Session 3

On-brand visuals and social video at speed.

Phase 3

Automation

Sessions 4–6

The most operational leverage — workflows that compound over time.

Phase 4

Building

Sessions 7–8

Real internal tools and genuine competitive advantage.

Curriculum

Session Curriculum

Eight sessions, each anchored to a specific stack and a specific outcome.

01
Gemini Pro
Prompt Engineering Foundations
+
Core prompting principles, structured outputs, and chain-of-thought reasoning. The foundation that every other session depends on. Teams leave able to write prompts that produce reliable, repeatable output — not one-shot luck.
02
Gemini Pro (Gems) + NotebookLM
Gemini Gems, Custom GPTs & NotebookLM
+
Persistent AI assistants that carry brand voice, ICP context, and messaging across every conversation. NotebookLM for deep research over your own documents. The point at which AI stops being a chat window and starts being team infrastructure.
03
ElevenLabs + Nanobanana
AI Image & Video Creation
+
On-brand visuals, social video production, and newsjacking workflows. Teams ship more creative in a week than they previously shipped in a quarter — without sacrificing brand consistency.
04
Gumloop / N8N / Lindy
Workflow Automation I: Foundations
+
Triggers, actions, integrations. The mental model of workflow automation. By the end of the session, each participant has shipped their first working automation that runs without them.
05
Gumloop / N8N / Lindy
Workflow Automation II: Content & Social Pipelines
+
Content repurposing pipelines, social listening and monitoring, and scheduling. The workflows that turn one piece of source material into a week of distributed output.
06
Gumloop / N8N / Lindy
Workflow Automation III: Advanced
+
Conditional logic, API integrations, and cross-functional workflows that connect marketing to sales to ops. The point where automation becomes a structural advantage rather than a productivity hack.
07
Cursor
Cursor I: Foundations
+
AI-assisted development for non-engineers. Teams build their own dashboards, internal trackers, and calculators — the small tools that previously required eng time and never got built.
08
Cursor
Cursor II: Building Real Tools
+
Iterating on builds, debugging with AI, and shipping more sophisticated internal apps. Teams leave with real tools live in their workflow — and the confidence to build the next one without asking.
What teams say after

What teams say after.

From leaders who ran the programme with their marketing and product teams.

What you're paying for is someone who's already done the thing. You hit a problem, he's seen a version of it, and you're past it in 5 minutes instead of an afternoon of searching for answers. He's also good on the bits that aren't covered anywhere. When to test, when to ship, where the guardrails should sit.

James Maxwell
Product Lead @ Redbrain

He crafted an excellent 8 week program across multiple tools with takeaway assignments and was constantly available over Slack for follow ups. The team has universally benefitted from the training, and most impressively, Oren was able to deliver a course that benefitted both the newbies all the way through to those who use agents in their daily workflow. I'd thoroughly recommend him to any business wanting to become a frontrunner in AI usage.

Harry
CMO @ Somnia
Your team next.
Get Started

Start with an AI Audit Call.

We map where your team is in its understanding and usage of AI. What tools they're using and how they're using them. You leave with a clear picture of what's costing your team the most — and if this training will solve it.

📅  Booking calendar coming soon