Make Your Employees AI-Native & 2x More Productive

We coach teams through the practical realities of applied AI—how to pick the right tools, integrate them into existing processes, and document the playbooks that keep work reliable.

Pickitbox Learning Hub
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Prompt playbook
AI integration in business processes
Industry use cases
Curated database of AI tools
How to think with AI
Q&A
Northwind Systems
Brightline Commerce
H
HarborSuite
Finley Credit
ATLASSIAN
Crescent Notes
F
ForgeWorks

Examples from recent programs

Northwind

Enterprise AI bootcamp with

Northwind Systems

Audience

420 product and operations leads across North America and Europe

Topic

Working sessions on prompt libraries, rollout guardrails, and integration handbooks

H
HarborSuite

Marketing workflow lab for

HarborSuite

Audience

260 lifecycle marketers and customer success leads

Topic

Prototyping AI-supported campaign reviews, customer journeys, and reporting cadences

ATLASSIAN

Product innovation workshop with

Atlassian

Audience

200 product managers and engineering teams joining from Sydney, Austin, and Amsterdam

Topic

Refining backlog grooming, documentation, and cross-team rituals using applied AI

Typical time savings reported after the training

Task
Before
After
Product manager assembles stakeholder presentations
5 hours
40 min
Marketing lead reviews potential competitors
4 hours
1 hour
HR partner drafts job descriptions
1 hour
10 min
Social media manager maps a monthly content plan
4 hours
30 min
Content team scripts a webinar
2 hours
10 min
Operations assistant researches contacts and locations
3 hours
25 min
Sales manager revises talk tracks
2 hours
20 min

How the training is structured

Four working blocks that move from fundamentals to hands-on build, tailored to your team\u2019s day-to-day work.

1

Foundations of today’s AI systems

We unpack model capabilities, common failure modes, and data guardrails so teams understand where AI fits and where it does not.

2

Evidence from comparable teams

We review published benchmarks and our own program data to show realistic impact, adoption curves, and how teams governed the rollout.

3

Client-specific scenario design

We map the client’s workflows, identify the steps suited for automation or co-piloting, and co-create prompts, checklists, and quality bars.

4

Practical implementation

A working lab where participants trial the drafted playbooks on their own datasets and tools, capturing feedback and next-step actions with our facilitation.

Want a closer look at the curriculum?