ax.presso

Engagement Model — For Capability

AX Grow

Capability built with your team, not delivered to it.
The path to owning AI execution in-house.

16 days

Program Duration

Team

Internal Capability

3

Deliverables

3 Commitments

The three commitments of AX Grow

01

Domain-grounded training

Not generic AI 101. Intensive training built around your team’s real workflows.

02

Co-build with our engineers

Our engineers pair directly with your team to design, develop, and deploy a real AI Agent. Available as a focused sprint (builderthon) if you prefer.

03

Org-wide rollout blueprint

Not a one-off project. We co-design the roadmap and governance for company-wide AI adoption.

Deliverables

What you get

AI capability diagnostic

Assessment of your current AI readiness and gaps

An AI Agent, built together

A production-ready AI Agent your team built alongside our engineers

AX rollout roadmap

Company-wide AI adoption strategy, roadmap, and governance model

Enablement training

Tailored programs for ICs, managers, and executives

Process

Day 1 to Day 16,
5 stages, built with your team.

Design

Day 1

Curriculum design

Diagnose first, then tailor the curriculum to your team

Setup

Day 2–3

Co-build setup

Prepare the pair-build environment

Train

Day 4–5

AI applied training

Intensive, domain-grounded sessions

Build

Day 6–15

Pair build

Your team builds the AI Agent with our engineers · builderthon format optional

Share

Day 16

Outcome readout

Present results and share the rollout roadmap

Best Fit

When AX Grow is the right fit

You have an in-house IT team

When a team with engineering capability wants to extend into AI.

You want AI internalized

When you want lasting AI capability, not a one-off project.

You’re aiming for org-wide rollout

When you need a successful pilot to anchor company-wide AI adoption.

Mid-to-large enterprises, finance, public sector

When governance, security, and compliance requirements are high.

Get Started

In 16 days, the capability
stays with your team.

Book a demo. We begin with a diagnostic of your organization's AI capability — strengths and gaps.