Manual & reactive
Tools are in place, but information still moves between systems by hand.
AI implementation for European SMEsAI implementation for SMEs
Turn disconnected operations into working AI automation.
We find the workflows worth fixing, connect what they depend on, then build and run the automation in production.We find the workflows worth fixing, connect the systems and company context they depend on, then build and run the automation in production.
- 95%
- of AI pilots show zero measurable P&L impact
- 97% / 12%
- are planning AI agents, but few can run them
- 2x
- success for specialist-led vs internal builds
Running agents
Knowledge agent
Company answer with sources
CompleteComplete
Drafting agent
Client reply drafted
ReviewReview
Research agent
Deep research scope ready
ApproveApprove
Reporting agent
Weekly digest prepared
CompleteComplete
From manual work to working automation
Where you are. Where we get you.
We’ll take you from manual work and stalled pilots to connected automation running in production, then help you keep building from there.
FragmentedAI-native
What we do
How AI implementation works.
We learn how work really happens, identify where automation will create the most value, then build and run it with you.
01
Discover
We embed with your teams to understand how work really gets done, then identify and rank where automation can create the most value. Together, we agree what success looks like and use real data to turn the first priority into working automation.
Your first working proof
Understand
Workflow and data mapped
CompletePrioritise
First workflow selected
ReviewProve
Working proof for review
Review
02
Build
We take that first automation into production, then tackle the next priorities in focused 4–6 week sprints. Each sprint builds on the last, with progress measured against the success criteria agreed in Discover.
03
Manage
We keep the automation running, monitor model usage and system connections, control costs and improve the workflow as the business changes. When the next priority is clear, we tackle the next sprint together.
The &native.ai platform
The governed foundation for AI automation.
The platform is the governed foundation behind our implementation work. It keeps approved company knowledge, workflow context, specialist agents and operating controls connected as each automation moves into production.
Approved knowledge
Approved company knowledge gives each workflow a governed source of context, with clear boundaries on what it can use.
Reusable workflow context
Requests, decisions, sources and prior work stay available to the right agents instead of being rebuilt for every task.
Long-running work
Specialist agents can work together on longer jobs, continue in the background and report progress as they go.
Governed by design
Defined roles, approved context, source citations and visible safeguards keep work within the right boundaries.
Who we are
We're Matt & Marcel
Matt
Client relationships, diagnostics, and delivery strategy.
A software developer, turned agency owner, to Head of Digital at a scaling consumer brand, Matt has experienced first-hand just how transformative AI can be when implemented correctly.
Marcel
Platform architecture and every build.
25+ years building and rescuing software. Operating exclusively with AI-powered workflows since mid-2024, before most CTOs knew Cursor existed.
Common questions
AI implementation questions, answered.
Clear answers about the engagement, the platform and how your data stays governed.
01
What happens in Discover?
We learn how the work really happens, identify the highest-value bottleneck and run one real workflow on your data. You get a working proof and a baseline we can measure against, not another strategy report.
02
What does Discover cost?
Discover starts from €5,000 and is credited against Build if you proceed. We agree the scope and fee before work begins.
03
How does AI implementation progress through Discover, Build and Manage?
Discover maps the workflow, agrees success criteria and produces a working proof on your data. Build takes the first automation into production and tackles further priorities in focused sprints. Manage monitors model usage and system connections, controls costs and improves what is running.
04
How much time will you need from our team?
We need access to the people who understand the workflow, the systems involved and the exceptions that matter. We keep their involvement focused on context, sample data, decisions and feedback while we handle the implementation work.
01
Who is &native.ai for?
&native.ai works with established European SMEs that need implementation capacity for recurring work across existing systems. The UK and German services are designed for businesses typically with 50 to 500 employees, where manual handoffs or stalled pilots block progress.
02
Is &native.ai an AI implementation agency or a software platform?
&native.ai is an embedded AI implementation partner. We diagnose, build and operate workflow automations. Our purpose-built platform is the connected, governed foundation behind that delivery, not a separate transformation programme you have to run.
03
How does the &native.ai platform support our workflows?
The platform gives specialist agents approved company knowledge and workflow context. They can answer questions, research and draft with sources, and handle longer workflows with progress updates and approvals. During Discover, we agree the workflow, the data it needs and where human review belongs.
04
Do we need to replace our existing systems?
Usually not. We assess the systems your team already relies on and agree which connections the workflow needs. Replacement only makes sense where an existing system creates a genuine operational or technical constraint.
01
What is connected company context?
Connected company context combines approved company knowledge with the requests, sources, decisions and prior work relevant to a workflow. The &native.ai platform keeps that context available to the right agents, so follow-up work can build on what is already known.
02
What does governed AI automation mean?
Governed AI automation uses defined agent roles, approved context, source citations and visible safeguards. Agents return citations where the workflow calls for them. Human approvals keep uncertain or sensitive decisions with the right people, while operating controls keep model usage and costs visible.
03
What happens after the first workflow goes live?
We stay to monitor what is running, control model usage and costs, improve the workflow and handle changes in the systems around it. Ongoing ownership remains part of Manage rather than being handed over after launch.
Start with Discover
Let's find the right place to start.
Tell us where work gets stuck and what you want to improve. We'll review the context, discuss the workflow and decide together whether Discover is the right next step.
What happens next
- 01We review your workflow and the systems involved before the call.
- 02On the call, we discuss the bottleneck, what success would look like and where automation could help.
- 03If there is a fit, we agree the Discover scope, fee and a start date before any work begins.