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April 2026 Edition

The AI Daily

Enterprise Intelligence, Delivered
A Liatrio Publication • Special Anthropic Partnership Edition

The Missing Piece in Anthropic's Enterprise Story

Most partners can deploy Claude. Very few can make an entire engineering organization change how they work to revolve around it. Liatrio is one of them.

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Not just another technology partner.
I

Who Is Liatrio

AI-forward. Enablement-focused. Best in class at enterprise scale.

Claude is the most capable AI model on the market. Getting it deployed is easy. Getting an organization to actually change how it works around it, that's where almost everyone fails. Liatrio exists for exactly that gap.

Liatrio enables enterprise organizations to transform how their people work with Claude; from engineering teams of 200-500+ to product managers, revenue leaders, and L&D functions. It's behavioral transformation at scale, powered by a Claude-native enablement engine we built and run ourselves.

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Here's what we're already doing
II

Boeing Digital Services: AI-Native Engineering at Aerospace Scale

Spec-driven development, product operating model transformation, and a provisioning workflow reduced from fifteen days to fifteen minutes.
15d → 15m
Provisioning Time
2
Product Teams
140
Specs Authored over 45 days

Liatrio is driving an AI-native engineering transformation at Boeing Digital Services with Claude as the primary model. Using Claude Sonnet and Opus through Azure AI Foundry, we deployed Spec-Driven Development across product teams, rebuilding a legacy Azure provisioning workflow that took five business days into one that completes in fifteen minutes with zero handoffs. But that's one workflow. The broader change is in how engineering and product teams operate day to day, and increasingly, how they operate together.

The transformation goes deeper than speed. Engineers are using Claude to refine and decompose PRDs, picking up specs and running with them independently, with less reliance on back-and-forth, fewer blockers waiting on clarification, and more ownership over the full arc of a feature.

On the product side, that same decomposition process is no longer a black box. PMs can follow how a PRD breaks down, engage with it, and refine it alongside engineering rather than handing it off and waiting. The work of defining what to build and the work of figuring out how to build it are starting to happen on a shared surface, and that's changing the nature of the relationship between the two functions, not just the speed of the handoff.

III

Natera: From "I Have No Idea What I'm Doing" to Standing Ovation

A PM on Windows, alone on an island, becomes the most compelling demo of what enterprise AI enablement actually looks like.
80+
Teams in Scope
200-500
Engineers
L1-L5
AI Fluency

Natera engaged Liatrio to embed Claude Code directly into their QCI engineering team with full OpenTelemetry instrumentation, giving leadership real-time visibility into AI adoption across 80+ engineering teams spanning genomics and diagnostics.

The enablement scope extended beyond engineering. A product manager with no CLI experience was onboarded to Claude Code in PowerShell, connected to a Jira MCP server, and within days was generating project roadmaps with confidence-ranged delivery estimates; which she presented company-wide. That onboarding process was documented and distributed as a repeatable guide for all Windows users across the organization.

Engineers self-directed usage beyond the prescribed scope: one ran a 14-step clinical workflow dry-test unprompted, another extended an MR review pipeline to a regulated project within days of initial setup.

"She didn't feel comfortable asking her own team. A week later, she was demoing a Claude-built roadmap to the entire company."

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200 to 500 engineers.
No playbook.
So we wrote one.
IV

We Saw the Gap. We Couldn't Wait.

Massive enterprise demand for Claude enablement. No official program. So we built one ourselves.

Across our enterprise clients, the demand for Claude enablement was overwhelming. Teams of 200 to 500 engineers trying to operationalize Claude within their organizations. But the standard path, waiting for official partner access to certifications and running through self-paced training, wasn't going to cut it at the speed our clients needed.

So we built our own answer.

3
Days to Build CCA
50+
Engineers Month 1

In three days, we built the Claude Certification Academy (CCA), a proprietary training program that takes engineers from zero to productive faster than anything else on the market. Built on top of Anthropic's open-source materials but tailored to enterprise delivery needs and deployed internally through our Forge training program.

We saw the gap in our own capabilities. We couldn't wait to get access and have people run through self-paced training and proctored exams. So we built our own thing, and we're taking it to enterprise customers today. This is not theoretical. This is happening right now.

"We're doing this alone today. But we think it only enhances both of us if we do it together."

V

Speed of Development. Depth of Enablement.

What our personalized training looks like, and why it produces results that self-paced programs never will.

The Liatrio enablement model is not a slide deck and a certification exam. It is an embedded, hands-on transformation program that meets engineers where they are.

CCA Program
Claude Certification Academy
Forge Training
Internal Cohorts
Certified Engineers
Production Ready
Enterprise Delivery
Scaled Adoption

We don't just set things up and leave. We teach teams how the tools work and how they fit together, so they can build their own things to solve their own problems. That's where the real power comes from. That's where the scale comes from.

At Boeing, engineers are now independently writing specs and running Spec-Driven Development workflows that we designed with Anthropic's models. At Natera, a PMs who couldn't open a terminal are now building project roadmaps with Claude Code and presenting them company-wide.

We pair this with full observability: OpenTelemetry instrumentation, telemetry collection feeding into Datadog and platforms like Jellyfish, so leadership gets real-time visibility into adoption patterns, usage metrics, and value realization. Rolling out AI successfully means being able to see how it's being adopted and how it's being used.

The underlying thread in everything we do: we're not just implementing a tool. We're driving behavioral change across entire engineering organizations. People are changing how they work, not just what tools they use.

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Let's Move Together.
VI

Why You Should Care

We're managing this without a formal partnership. We believe Claude and Liatrio together is the most compelling story in enterprise AI enablement.

Other partners deploy LLMs on Bedrock. We teach organizations how to actually transform.

We don't believe just in Claude and the power of AI in the abstract. We believe that Claude and Liatrio together is the most compelling combination for getting this right at enterprise scale. Here is why:

Differentiation

Not Deployment. Innovation.

We don't install Claude and hand over documentation. We embed with teams, drive adoption, and build repeatable processes that persist after we leave. Our origin story is built around intentionality and what's best for our end customers in the enterprise.

Beyond Engineering

The Whole Organization

There are people doing AI enablement in the engineering space. Fewer are teaching PMs how to use Claude Code, getting non-technical users set up, and expanding the value proposition across entire product organizations. We do both.

Observability

Measured, Not Hoped

We instrument every engagement with OpenTelemetry. Adoption metrics flow into Datadog, Jellyfish, Honeycomb, and other industry technologies. Leadership doesn't hope AI is working. They see it. We built a strategic partnership with Honeycomb for this exact reason, and we already use it internally.

Self-Sustaining

They Build Their Own Things

The real measure of our success is when clients don't need us anymore. When engineers are writing their own specs, building their own MCP servers, extending their own pipelines. That's not a failure of engagement; that's the whole point.

"Claude is the best tool on the market. Liatrio is the best at enabling that tool for enterprise customers."

·
Let's make it official.
VII

What's Next

The pipeline is real. The momentum is building. Here's where we're headed.

We're not asking Anthropic to take a chance on us. We're asking you to look at what's already in motion and decide if you want to be part of it.


We have the relationships, the methodology, and the results. All that's missing is the official partnership to make this even bigger.

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