a3gent AI Native

AI Native Initiative

AI-native transformation, the next edge for medical companies

Not stopping at a few AI features, but becoming an organisation that works and builds with AI as a given. a3gent works that way first, then brings the way of working to you.

See the stages

Transformation, not adoption

1

Not features, but how you work

A handful of AI features doesn’t keep you ahead for long. Planning, building, validating and operating are redesigned with AI as a given.

2

Not one project, but compounding capability

Not deliverables that vanish when the project ends, but data, tools and processes that make every next product faster.

3

Not dependence, but your own strength

Transformation ends when your team keeps building and running the AI-native way, without a3gent.

From assessment to handover, in four stages

  1. 1AI-native assessment

    Look across work, data and products to find where AI has the biggest effect, and in what order.

  2. 2First AI feature or product

    Ship a first result quickly on proven solutions, and see the effect in numbers.

  3. 3New ways of building

    Bring AI agents into your team’s design, coding and validation, so the same team builds more.

  4. 4Handover

    Hand over tools, processes and documentation so your own staff keep running it the AI-native way.

We work AI-native first

a3gent designs, builds and validates alongside AI agents: a small senior team building larger systems in less time.

4 monthsa two-year development programme completed with agentic AI
2 monthsto develop a biosignal anomaly-detection algorithm
2×development productivity: product cycle cut from 6 to 3 months

Real project results achieved by the engineer leading a3gent at previous organisations, after rebuilding development around AI agents.

Design

Requirements and architecture drafts come together quickly with agents, while people focus on judgement and decisions.

Build

Writing and reviewing code is shared with agents, so the same people cover a wider scope.

Validate

Test scenarios and tests are automated, so validation scope holds even at speed.

Document and hand over

Design, code and operations documents are produced alongside development, so handover stays light.

Frequently asked questions

Where do we start?

With an AI-native assessment: find where AI has the biggest effect across your work, data and products, and agree the scope of a first result.

What happens to our existing development team?

They are strengthened, not replaced. Tools and ways of working move over so the same team builds more, faster, with AI agents.

Does this work for a small organisation?

It works especially well. You can start the AI-native way with the team you have, without hiring AI specialists.

What about medical-device regulatory approval?

Clinical use requires medical-device regulatory approval after deployment. The solution becomes the customer’s own product, so the approval is obtained directly in the customer’s own name.

AI Native Initiative

Start with an AI-native assessment.