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Agentic Workforce

BUILD YOUR AI WORKFORCE. KEEP THE COMMAND.

Every enterprise is deploying AI agents. Gartner predicts over 40% of those projects will be cancelled by 2027, on cost, unclear value, and inadequate risk controls. Not because the technology failed; because the foundations were never built. You don't need more pilots. You need an agentic workforce: governed agents doing real work, on a platform you control, measured against value you can prove.

Let's map your first workflow
Let's map your first workflow

Pilots are everywhere.

Everyone has agents. But almost
nobody has a proper AI workforce.

97% of executives say they've deployed AI agents. Yet 88% of proofs-of-concept never reach production. The gap between claiming to have an AI-enabled organisation and running on AI has never been wider. Gartner even coined a word for it: agent washing. Meanwhile, the leaders race ahead. The productivity gap between AI leaders and the rest widened 4x in two years. Every quarter you wait, the gap you must close grows.

 

The productivity gap between AI leaders and the rest widened
4x in two years.

What actually kills agentic projects?

molecular-abstract-network-dark-background-3d-il-2026-01-07-06-37-59-utc
No platform, just pilots

Six months per use case. One agent, no platform, nothing reused. By agent ten, you're managing two hundred unsecured connections. 

Unplash - labyrinth
Technology before operations

Agents on a broken process give you a faster broken process. Winners redesign the work first. Then they automate. 

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Agents you can't see or stop

Machine identities outnumber humans 80 to 1. 68% of organisations can't tell agent activity from human activity. That's not a risk; that's an open door. 

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Value nobody can prove

Only 25% of AI initiatives deliver expected ROI. No telemetry means every scale-up decision is an opinion. And the EU AI Act now fines ungoverned AI up to €15M or 3% of turnover.

Your People Aren't The Obstacle. They're The Blueprint.

The quiet killer of agent programs isn't technology; it's fear. Teams that believe AI is here to replace them won't adopt it, and 54% of C-suite executives admit AI adoption is straining their organization. We build the workforce with your people, not around them. Champions co-build the first workflows. Domain experts turn their working methods into reusable skills; the skills marketplace puts them in the driver's seat. AI literacy tracks bring everyone along. The result? People spend less time on repetitive work and more on judgment, creativity, and expertise. They stay responsible for goals, reviews, and final decisions. 

Raquel&Fe

An agentic workforce doesn't shrink
your team's role;
it raises it.

THAT'S WHERE
ML6 COMES IN.

We build your agentic workforce: humans and agents, one team, one governed platform, under your command. You decide how much authority each agent earns. Owned intelligence, not rented: your know-how becomes your IP. We help you climb the ladder, one workflow at a time, with control at every step.

  • On your infrastructure

    Here's the clever part. The agentic landscape is commoditising fast, and we use that to your advantage. We buy what's standard and build only what differentiates. We deploy agentic workforces on the cloud you already trust and thanks to our proprietary ML6 engineering platforms, they come with identity, observability and guardrails baked in from day one.

    Our partners
  • The agentic workforce itself

    Personal agents, managed assistants, and autonomous agents, all built from the same approved skills (a small package of instructions that teaches AI models how to do a specific task well, loaded only when it's relevant) and connectors. Every agent carries an identity. Every action is managed, mapped, evaluated, and measured. No shadow AI, no sprawl, no surprises.

    Our Engineering approach
  • Real transformation

    Workflow and value-chain mapping, agent design workshops, AI literacy and upskilling, governance design, and a dynamic skills marketplace. Success metrics are wired directly to telemetry, so scale-or-stop decisions run on evidence, not opinion.

    Identify the value first

From Manual Work To Autonomous Outcomes.
Step By Step.

We help you climb the ladder, one workflow at a time, with control at every step.
ML6 Amsterdam Office september 2025-30

We break your processes into subtasks and score each on value, complexity, and AI-readiness. Then we set the control level per step: human-in-command, human-in-the-loop, or human-on-the-loop. You choose where AI acts, where AI helps, and where humans lead.

More on authority distribution

Security & Sovereignty.

You Stay in Control.
Even When Agents do the Work.

An agent isn't a chatbot; it's a digital worker with the keys to your systems. Most companies discover that only after an incident. You wouldn't give an employee full access without oversight. We make sure your agents earn trust the same way: visible, steerable, stoppable.

  • Identity & the kill switch

    You should never wonder what an agent is, what it may touch, or how to stop it. So every agent gets its own identity, every action passes through policy gateways, and consequential decisions wait for human approval. And if anything drifts: one kill switch per agent, tested before it's ever needed.

  • Compliance by design

    The EU AI Act isn't waiting for your pilots to mature. With ML6, compliance isn't a project you bolt on before launch; it's built into every solution from day one: GDPR, NIS2, and EU AI Act, backed by our ISO 27001 certification. Your legal team signs off faster, and your agents ship faster.

    Learn more
  • Sovereign, with an exit

    The question isn't where your agents run; it's whose law reaches them, and who holds the switch. If sovereignty is mandated, your workforce runs self-hosted on EU infrastructure with open-weight models. And switching providers is a routing decision, not a two-year migration: your skills, data, and metrics move with you. No lock-in. Not even on us.

    Sovereign AI

We're not "fluffy consultants".
We're AI engineers.
And we bring receipts. 

Dive into customer cases
Dive into customer cases
13

years of AI-native expertise

400+

Enterprise-grade AI projects delivered

9/10

is the average NPS score
our customers give us.

12

weeks of average time-to-value

150+

AI-native experts at your fingertips

jonas braadbaart - AI Generated
Jonas BraadbaartOffice of the CTO

LET'S BUILD YOUR AGENTIC WORKFORCE.

Companies figuring out agent-native operating models today gain a 12- 18-month lead on everyone still stuck in pilots.

Book a meeting
jonas braadbaart - AI Generated
Jonas BraadbaartOffice of the CTO

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