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AI-Native Engineering Delivery

AI-NATIVE BY DESIGN. PRODUCTION-READY BY DEFAULT.

Designing around AI from day one isn't a nice-to-have; it's what sets you apart. It's what will unlock real innovation: when AI shapes the architecture from day one, you can build what competitors can't. Rethink what your AI solutions can do.

Define your AI strategy first
Define your AI strategy first
water-extreme-sport-the-guy-is-flying-at-the-aqua-2026-03-09-01-50-37-utc
14y

AI EXPERTISE

400+

ENTERPRISE AI PROJECTS DELIVERED

9/10

AVERAGE NPS SCORE

140+

AI-NATIVE EXPERTS

12wks

AVERAGE TIME TO VALUE

AI-assisted is not AI-native.
And the gap matters a great deal.

Rethink what the work should be

AI-native engineering is the practice of building software with AI as the foundation. The whole system is designed around it; it's not just an AI layer that is bolted on afterward.

Think of the shift to mobile. Early on, companies shrank their websites into "mobile-friendly" versions: the same thing, smaller. The winners, Uber and Instagram, built products that could only exist because a phone has GPS and a camera. AI-native engineering works the same way. You don't shrink the old process.

AI-assistedAI-native engineering
The workflowUnchanged; AI helps at the edgesRedesigned around AI, end to end
The engineer's roleWrites; AI autocompletesOrchestrates, specifies, validates
ContextRe-explained every promptEngineered once, best practices used by all
Order of workBuild first, document laterSpecify first, build from it
Best practicesBolted on at reviewBuilt in from day one
Where the gain landsIndividual productivitySystem & organizational productivity

The ML6 approach

4 essential parts to deliver an AI-native project for you.

AI-native delivery isn't a tool you buy. It's how we engineer, backed by the infrastructure that makes it repeatable across every project.

01 / 04

Engineering foundation

Nimbus

Every project starts with quality defaults: secure-by-default infrastructure, a proven repo structure, and shared context that both humans and agents can read from. Nimbus enforces best practices and security from day one, so speed comes without architectural drift.


Secure defaults
Infra as code
AGENTS.md
Reusable skills

02 / 04

Delivery model

AI Pods

A lean AI-native core that already knows your context, with specialists on call when a problem needs them and out when it doesn't. Run it as a Capacity Pod at a monthly rate, or as an Outcome Pod at a fixed price, with us carrying the delivery risk. Either way you buy committed value, not named profiles and logged hours.


Capacity or Outcome focused
Specialists when needed
We carry the risk
Value over hours

03 / 04

Engineering blueprint

unum logo horizontal website

Unum is our AI-native engineering blueprint: the standards, accelerators, and reusable components that let an AI Pod build production-grade software fast, without reinventing the foundations on every engagement. It comes with an AI Pod, not on top of it.


Production-ready
Reuse before reinvention
Ships with the AI Pod
Discover Unum

04 / 04

Method & Mindset

AI-native way of working

Delegation over doing. Context as infrastructure. Default-to-AI for research, drafts, and boilerplate; human judgment for direction, relationships, and accountability. Iterative loops with agents that handle multi-step work while engineers review outcomes.


Orchestrate
Specify first
Validate over generate
Write back what you learn
ML6 Berlin October 2025-07

You stay in charge.

The goal isn't maximum automation; it's the right automation, matched to the stakes of each step. AI drafts, generates, and accelerates. It never owns the outcome. Your engineers stay accountable for architecture, security, and every line that carries their name, so your team keeps full mastery of what ships.

  • Mandatory sign-off

    HUMAN IN THE LOOP: Nothing ships without approval. Used for prototypes, specifications, and the core build, where being wrong is costly.

  • Monitor and intervene

    HUMAN ON THE LOOP: While the AI runs; a human watches and can step in. Used for testing, security scanning, and delivery reporting at scale.

  • Set the boundaries

    HUMAN IN COMMAND: The human owns the policy and can intervene at any moment. The AI acts with real autonomy inside a frame you control.

Five core principles 

AI drafts; your engineer decides and owns every line that carries their name.

AI-aided coding has crossed a tipping point. 

Claude Code and Codex have revolutionized code writing. What used to take six engineers a quarter, an AI-native team ships in weeks. Here's the uncomfortable part: the complexity your teams can generate is doubling roughly every 7 months, and much of it now appears convincing without verification. And when moving fast the wrong way, it will land you in one of two traps (see right). Neither is a reason to slow down. Both are reasons to change how you build. That's where our AI-native expertise makes all the difference.

 

 

  • The Speed Trap

    You ship faster, but you build systems fewer and fewer people understand. When something breaks, outages last longer and cost more, because the mental model of why it works has quietly left the building.

  • The Talent Trap

    AI makes your juniors productive in weeks, but they never build the depth to become your future leaders. In a year or two, nobody on the team can fix the critical thing under pressure.

Your outcome.

  • Value in weeks, not quarters

    Work starts ahead of a traditional week one, on quality defaults and reusable assets. You see working software every sprint and real use cases shipped at a reliable, repeatable pace.

  • We leave your team stronger

    Your engineers pair with ours and own what gets built. We don't just hand over code; we transfer the capability to extend it. Your team is stronger when we leave than when we arrived.

  • Trust built in by design

    Documented decisions, traceable changes, security review and evals baked into the build, not bolted on at a gate afterward. Every automated workflow has a named human owner.

Get
inspired

Stay in the loop with stories from our team, success cases from our clients, and news on what we’re building behind the scenes. Whether it's a deep dive into the latest in AI, a behind-the-scenes look at a real-world implementation, or product updates we’re proud of — here’s what’s been happening lately.

Jeffrey Hagen 2
Jeffrey HagenHead of DnA

LET’S BUILD YOUR AI VISION.

At ML6, we’ve partnered with the world’s most ambitious enterprises to build their AI vision together. Let's use AI to turn your business strategy into operational impact today.

Let's schedule a talk
Jeffrey Hagen 2
Jeffrey HagenHead of DnA