AI adoption slower than you want?

You need to run a business — we get it. We’ve led AI transformations before. Let’s team up and get it done.

AI is an incredible tool, with promises of astronomical productivity gains.

The pressure to adopt it and accelerate your business has never been stronger — but the path to truly realizing gains can be obscure.

Many organizations are feeling this. That hesitation isn’t resistance to change. It reflects real concerns about quality, security, consistency, and control.

If any of these concerns sound familiar, you’re in good company.

Agents don’t follow the spec

You write the requirements, and what comes back is close but not right. What looked like a great output in the beginning now requires rework and rework. Sometimes it misses parts of the project, hallucinates others, leaves sections as stubs — but it ends with a lot of manual time getting to done.

We’re getting more bugs

More code, more mistakes — and the tests it’s writing aren’t meaningful enough to catch the mistakes. Whether the code is bad, or the process is breaking down, concern that bad quality output is being shipped is rising fast.

It doesn’t finish the work

It gets it mostly done and stops. Either it stubs sections, oversimplifies them, or starts to break working parts in being directed to finish your spec. As a result, what felt like fast progress feels like it’s plateaued.

The code isn’t good enough to ship

Everything needs rework first. Your engineers are probably frustrated with PR review, and it’s no longer feeling like any time was saved.

It’s a nice proof of concept, but isn’t production ready

Someone asks about how it integrates with the rest of the product, error handling, logging, migrations, rollback. That’s most of the real work.

Our AI Enablement program is designed to help you solve these very problems.

How it works

From AI ambition to measurable results.

Over three or six months, we work alongside your team to identify the right opportunities, put the systems and guardrails in place, and build the skills to keep improving.

01

Initial consultation

We’ll talk through what you’d like to accomplish, what’s standing in the way, and if the program is the right fit. If it is, we’ll get you set up for success.

02

AI readiness audit

We’ll review the foundations your AI practice will depend on:

Patterns in project management
SDLC processes
Usage policies and tools
Documentation
Security, compliance, and data controls
03

Map the strongest opportunities

Identify where AI could have the greatest impact and estimate the potential savings and efficiency gains for each opportunity.

04

Plan around your business

We’ll design the plan with you around your existing commitments and priorities. Each step will protect quality while helping work move faster.

05

Put the right support in place

Training, dashboards and reporting, prompt design, security controls, quality gates, and more — all shaped around your goals and the way your team works.

06

Set the right working rhythm

At minimum, we’ll meet once a week to review progress, work through blockers, and adjust the plan. Beyond that, we can be as involved — or as out of the way — as your team wants.

07

Track progress and plan what comes next

Progress will be measured against the original goals throughout the engagement. We’ll also build a clear plan for carrying the work forward once the engagement ends.

Quality, predictability, and performance.

We believe AI should meet the same expectations as the rest of your business. Let’s work together to make sure it does.