ButterOpsCapabilities

Build AI capability across your company.

We help turn individual experiments into ways of working your teams can trust, share, and improve.

Three areas of capability

Leaders

Find the AI opportunities most worth pursuing.

Identify where AI could make the biggest difference.
Assess constraints and prioritize projects.
Define expected results and how to measure them.

Engineering teams

Take on bigger challenges with AI, safely.

Build the tools and environments with your team.
Teach engineers to guide AI through substantial changes.
Verify results against your standards.

Business teams

Do more with AI, with safeguards engineering can trust.

Agree access, approvals, and ownership with engineering.
Teach teams to build, verify, and maintain workflows.
Reduce routine requests for engineering.

Steps of AI adoption

Help your team move further with AI.

Boris Cherny’s “Steps of AI Adoption” describes five stages, from restricted access to AI-native workflows. We help your team progress with the skills, systems, and safeguards each step requires.

Step 0
Gated
Access is restricted
Approvals and infrastructure limit what people can try. Progress starts with an agreed, secure path to using AI.
Step 1
Assisted
You + an agent
One person works with one agent, reviewing nearly every change. Reliable self-verification creates room to delegate more.
Step 2
Parallel
Orchestrator
One person directs several agents, with isolated workspaces and automated checks. Reviewing and coordinating results becomes the constraint.
PLA + ButterTrip today Step 3
Supervised autonomy
Manager of managers
Agents coordinate substantial work and initiate recurring tasks. People improve context, verify the process, and oversee consequential decisions.
Both progressing here Step 4
AI-native
Steering by intent
Workflows initiate and coordinate agents at scale. People set goals, monitor exceptions, and maintain quality and cost controls.

Adapted from Boris Cherny, July 16, 2026.Original framework

Find your next opportunities with an AI ROI Roadmap

Safety, built into the work

We set a high standard for AI’s work and build the checks to hold it there.

We work with your team to define what good looks like and what AI is allowed to change. We give AI clear instructions, the tools it needs, and environments where it can run and check its work.

Standards + boundaries

Agree what good looks like, what AI can access, and what it can change.

Tools + real runs

Give AI the tools and environments to run your application and check its work.

Layered verification

Test behavior against real systems, with review supporting the evidence.

Human judgment

People approve consequential changes and decide where more autonomy is earned.

At PLA, real execution found seven bugs AI review missed

People + change

Help your team build confidence, learn openly, and share what works.

Hear the skepticism.

Some people question the tools. Others worry that asking questions will expose them, or that sharing hard-won techniques will diminish their value. We listen before prescribing a change.

Make room to experiment.

We work with leaders and teams to agree how learning, feedback, and measurement will work, without turning every experiment into a performance test.

Share what works.

We help teams turn useful discoveries into shared practice, so knowledge travels beyond the person who found it and people can keep improving together.

Expertise your team keeps

Build internal experts who can keep taking you further.

We build alongside your team and teach the judgment to guide AI, evaluate results, and own what gets built.

Your team develops the skills and confidence to keep improving, relying less on outside specialists over time.

Also available on its own

Product and technology consulting, beyond AI.

Between us, we have spent about 30 years in product and engineering. You can bring us in for that experience on its own, for strategy, roadmaps, architecture or delivery, whether or not AI is part of the problem.

Tyler and JulianScoped in the proposal

Explore engagements and pricing

Free45 minutesWith Tyler and Julian

Let’s talk about what your team could do with AI.

A free, 45-minute conversation with both of us. Tell us what you’re trying to do and what keeps getting in the way. We’ll help you think through what to do next, whether or not you work with us.

On the call · 45 minutes

01
We learn how your company works and where AI could make a difference.
02
We sketch the scope of working together, right there on the call.
03
We agree on next steps together, and nothing is decided for you.

After the call · 24 to 72 hours

04
If it makes sense, you get a written proposal within 24 to 72 hours.

Book a no-obligation conversation