JPEN

AI Coaching

More than outsourcing. We implement your first improvement together and stay by your side until your team can run it on their own.

In three months, build a system that delivers results and a team that can run it.

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Problems

Challenges We Help With

Not sure how to put AI to work

Not sure how to put AI to work

You understand AI in theory, but you're not sure which tasks it can actually improve, or where to begin.

Choosing the right tools

Choosing the right tools

There are countless AI tools on the market, and it's hard to tell which one truly fits your operations and your budget.

Taking your AI use to the next level

Taking your AI use to the next level

You already use the basic AI tools, but you want more advanced approaches and a way to make AI work effectively across the whole organization.

Why Coaching

Why AI Coaching Comes Before Outsourcing

Outsourced Development
Speed to launch
Fast (hand it all off)
In-house knowledge
Almost none
Lasting adoption
Depends on the vendor
Initial effort
Low
AI Coaching
Speed to launch
Practical (we work alongside you)
In-house knowledge
Stays with you, process by process
Lasting adoption
Toward running on your own
Initial effort
Moderate (we work hands-on together)
Fully In-House
Speed to launch
Slow (trial and error)
In-house knowledge
Prone to siloing in one person
Lasting adoption
Depends on the individual
Initial effort
High
Solutions

Three Outcomes, Delivered in Three Months

Phase 1

Selecting and Designing the Challenge

We narrow down the target task and define KPIs, operating conditions, and risks. Together we decide what to bring AI to, and where to start.

Phase 2

Implementing the First Improvement

We build a working workflow on real data and validate it in the field. Start small and make the results visible.

Phase 3

Adoption and Building In-House Capability

We establish operating rules and improvement procedures, and transition to a state where it runs in-house. You'll be able to keep going on your own long after the coaching ends.

Industry Case

AI Coaching by Industry

A look at how we've used AI to support the operational challenges of each industry.

Real Estate project
2026.03 Concept & Implementation Support

OCR and Data-Entry Automation for Preparing Disclosure Statements

We provided step-by-step support for preparing important disclosure statements, with OCR, draft generation, and data-entry automation. We built a flow that extracts the needed information from multiple documents and organizes it into an easy-to-enter format.

Gathering Documents
  • Property registry
  • Floor plans
  • Urban planning data
  • Assessment certificates
OCR & Data Extraction
  • Extract required fields
  • Organize the draft
Output in an Easy-to-Enter Format
  • Convert to a spreadsheet
  • Organize for easy review
  • Connect to data-entry automation
Media & Advertising project
2025.12 Design, Implementation & Operations Support

Designing and Automating an AI Workflow for Candidate Selection

We supported everything from mapping out the workflow to building the data foundation and automating integrations. We turned a process that tended to rely on individuals into one the team can keep improving in-house.

Requirements Input
  • Target criteria
  • Genre
  • Target audience
  • Objective
AI Search & Data Foundation
  • Convert into search criteria
  • Accumulate data
  • Extract candidates
  • Automate integration
Supporting the Proposal Work
  • Candidate list
  • Comparison
  • Proposal prep
Startups & New Ventures project
2025.12 Hands-on, Concept & Design Support

Workshops and Requirements Mapping for Bringing AI Development In-House

Through Cursor workshops, hands-on RAG sessions, and requirements mapping for a mini AI system, we helped a team reach a point where even non-engineers could build with AI. The goal: being able to put into words what to build next.

Workshops & Hands-on
  • Cursor workshop
  • Hands-on RAG
  • A feel for building with AI
Requirements Mapping
  • Put what you want to build into words
  • Prototype small
  • Set priorities
The First Step Toward In-House
  • Clarify what to build next
  • Build the capacity to move forward on your own

For leaders who want to make AI their edge

Let's find the right first step for your company, together.

Book a free consultation