Sydney, NSW – [21 April 2026] – Earning an AWS Competency in AI in 2026 should be hard. Most organisations have discovered that AI capability is easy to claim and difficult to demonstrate under production conditions. The AWS AI Services Competency exists precisely because that distinction matters, and DNX Solutions now holds it.
The designation is awarded to a select group of AWS Partners assessed against AWS’s technical and operational standards for AI delivery. For DNX, it formalises a body of production work built across financial services, media, and government, helping organisations move from AI experimentation to outcomes that operate at scale.
DNX CEO Helder Klemp highlights that:
“Our customers don’t come to us for pilots. They come because something they already tried didn’t make it to production, and they need to understand why before they invest again. What we’ve built over three years is the practice that answers that question honestly, and then fixes it. Not by selling them a new approach, but by staying accountable to outcomes they can measure. This competency tells them that AWS has looked at how we work, not just what we claim, and reached the same conclusion we have. That’s the only validation that matters at this stage of the market”
Built on Demonstrated Capability
What separates advisory from delivery is evidence. DNX’s AI practice is built on production engagements, not workshops, and the results reflect that.
One financial services client was manually processing every inbound insurance submission from unstructured emails, PDFs, and scanned attachments, all requiring human extraction and re-entry. That workflow is now automated end-to-end using Amazon Bedrock. Submissions are transformed into schema-compliant payloads in near real-time, with AI-generated confidence scoring directing only the complex cases to human review.
A second client needed non-technical teams to interrogate complex procurement data without depending on technical specialists for every query. A natural language system built on Amazon Bedrock Agents now delivers 90% accuracy on standardised test queries across the enterprise database at 74% lower cost per interaction than the initial prototype.
In a SaaS environment, one team was losing 20% of its working week, a full day per person, guiding customers through reporting and data access. An agentic AI system eliminated that burden entirely. That capacity has been returned to higher-value work.
DNX CTO and GM, Kelly Griffin, sums up how DNX works:
“The technical bar for this competency is high, but the harder bar is the one we hold ourselves to before a single line of code is written. AWS doesn’t award this designation on claims, it requires demonstrated evidence across live production environments, and that’s exactly how we build. We’ve built a practice disciplined enough to tell a customer when AI isn’t the right answer, because trust is how we earn the right to anchor it where it genuinely is. That’s what customers should expect from a partner with this designation, not enthusiasm for the technology, but rigour about where it belongs.”
From competency to practice
The AWS AI Services Competency reflects how DNX approaches AI delivery in practice. The DNX Proof Lab gives organisations a structured environment to test and validate AI use cases before committing to a full build, with governance and data quality checks built in from the start. For organisations ready to move, the AI Accelerator takes a defined use case from scoping to production-ready in a time-boxed engagement, with success criteria agreed before work begins. Further along the maturity curve, DNX’s Agentic Process Transformation work helps organisations deploy AI agents that take action in live workflows, not just generate outputs, with human oversight built in throughout.
These are not advisory offerings. They are delivery frameworks built from running this work across real customer environments.
Positioned at the centre of Australia’s AI infrastructure moment
The Competency comes as investment in Australian AI infrastructure reaches an inflection point. Amazon has announced a planned AU$20 billion investment in Australian data centre infrastructure, the largest technology investment in the country’s history. DNX was named by AWS as one of its key Australian partners in that announcement, a recognition of the company’s role in helping organisations build on what that infrastructure makes possible.
That relationship has been formalised at pace. In April 2025, DNX signed two Strategic Collaboration Agreements with AWS focused on generative AI adoption and infrastructure modernisation, extending co-investment in customer delivery and go-to-market programs across Australia and the APJ region.
What it means for customers and partners
The AWS AI Services Competency is a third-party signal in a market where AI capability claims are abundant and verification is difficult. For a CDO or CTO making decisions about which partner to trust with production AI delivery, it answers a question that is increasingly important to get right.
DNX works embedded within client teams rather than as an external vendor managing at arm’s length. That model shapes how AI solutions are scoped, built, and transitioned into operation. The Competency adds formal validation to an approach that customers have been experiencing directly.
AI without delivery is just spend.
Every AI program looks different on the outside. The reasons they stall are remarkably consistent. We’ve seen enough of them to know where the gaps are before you hit them. Book a conversation with DNX.
