Transform how your teams work with AI in weeks
AI-Native Enablement brings the playbook from our own AI transformation to your company. With Pixel AI™, we start with product, design, and engineering, then train your people as we go.
Make the change stick, team by team
Map
We map how your teams use AI today and set a baseline.
Redesign
We redesign your product workflows around agentic AI.
Train
We train every role hands-on, on their own work.
Hand over
We hand over the workflows, measured against the baseline.
When does AI-Native Enablement make sense?
AI-Native Enablement makes sense when your teams already pay for AI tools but adoption stays shallow and uneven across teams.
People use AI, but systems are not in place
You see isolated wins with AI, but struggle to turn them into repeatable ways of working across the company.
What changesAI adoption across teams, with shared practices that turn individual wins into how the company works.
Building got faster, but shipping didn’t
AI writes more code than reviews, product, and design can absorb, so the bottleneck just moved.
What changesAgentic workflows from discovery to release, so product, design, and engineering move at the same speed.
Generic AI tools don’t fit how your teams work
Off-the-shelf assistants lack your context and skills, so what they produce feels interchangeable.
What changesAI implementation inside your workflows, with the shared context, skills, and tools your teams use every day.
- Principal Product ManagerIn trainingProduct teamPrincipal DesignerIn trainingDesign teamPrincipal EngineerIn trainingEngineering teamOperations & Talent ManagerIn trainingOperations teamPrincipal Marketing DesignerIn trainingMarketing teamBusiness DeveloperIn trainingSales teamSession 1 of 6
Specs written by handSpecs drafted with agentsTickets reviewed one by oneReviews what agents proposeResearch summaries take daysCalls summarised the same day
Static handoffsPrototypes in code with agentsSpecs re-explained every sprintDesign system as agent rules
Writes every pull requestAgents open the pull requestsLong review queuesReviews and owns the mergeTests written lastAgents write the tests firstRelease notes by handNotes drafted from merged work
Candidates screened by handAgents shortlist against the roleWeekly report from scratchWeekly report written for themAnswers searched in old threadsAnswers from the team's context
Campaign visuals made one by oneVariations drafted with agentsAssets checked by handAgents check assets against the brandReports pulled together by handPerformance summary every Monday
Call notes typed after every callNotes and next steps written for themProposals assembled by handProposals drafted from the account's context
People don’t know what changes in their role
Without time to learn and a clear picture of their new role, adoption stays shallow and usage fades.
What changesAI training and change management, role by role, in hands-on workshops on your team’s real work.
Start focused, then scale what works
Start with a Discovery Phase to find where AI pays off and test a first change with one team. Choose a Team Subscription to scale AI adoption across your teams.
| Discovery Phase | Team Subscription, Recommended for more impact, faster | |
|---|---|---|
| Starting at | €5k | €20k/month |
| Best for | Teams already using AI that aren’t seeing results yet or are struggling with adoption | Scaling AI adoption across more teams and into operations |
| Scope | Defined together, starting from your goals | An ongoing roadmap with agreed milestones |
| Team | A forward deployed team of product managers, designers, and engineers, depending on what you need | A forward deployed product, engineering, and design team, taking the change to more teams |
| Investment | Fixed price for this phase, flexible from there | Agreed fixed monthly fee |
| Commitment | Ends with a plan you can act on and a first change tested with your team | 3-month minimum |
| Scope your Discovery Phase | Discuss Team Subscription |
AI-native delivery with Pixel AI™, from the Discovery Phase to the Team Subscription.
Not sure which model fits?
Tell us what you want to change. We’ll help you find the right approach.
Prices exclude VAT where applicable. Starting prices are indicative. Final investment and terms depend on the workflows and operating change in scope.
What tech leaders say about us
Questions about AI-Native Enablement
AI-Native Enablement is Pixelmatters’ hands-on AI enablement and transformation service for tech companies whose teams already use AI but aren’t seeing results yet. We bring the playbook from our own transformation with Pixel AI™ to your teams in 4 steps: map, redesign, train, and hand over. You start with a Discovery Phase on one team, then scale through a Team Subscription across product, design, engineering, and operations.
An AI-native company designs how its teams work around AI from the start, instead of adding AI tools to old processes. Work runs on shared practices, skills, and guardrails, with people steering the outcome. That’s how Pixelmatters works with Pixel AI™, and it’s what AI-Native Enablement helps your company become. Read why Pixelmatters is becoming an AI-native product studio.
AI-Native Enablement starts at €5k for a Discovery Phase, at a fixed price for the phase, with flexibility from there. You can then scale it with a Team Subscription from €20k a month, for a fixed monthly fee with a 3-month minimum. You agree the Discovery Phase price before any work starts, and the Team Subscription follows a roadmap we agree together.
AI-Native Enablement is hands-on implementation: we work inside your teams to redesign workflows, set up the skills and lightweight tools they need, and measure the change against a baseline we agree at the start. Consulting usually stops at recommendations. If you need leadership-level direction first, see AI-Native Strategy.
Yes, AI-Native Enablement includes AI training for your teams. We train each role through hands-on workshops on the workflows and tools we set up together, from product and engineering to operations, so people know what changes in their work and adoption lasts after we leave.
AI-Native Enablement follows your security requirements and data policies from day one. Every workflow and agent we set up is tested with your team before it rolls out to more people. We work in your environments and tools with only the access the work needs, every AI agent we set up has a named owner in your team, and we’re working toward SOC 2. When the engagement ends, your teams keep the workflows, practices, and tools, with ownership set out in your contract. If you need a specific certification or compliance standard, tell us when you get in touch and we’ll confirm fit before anything starts.
Your company can start the AI-native journey in 3 ways, depending on where your teams are with AI. If you need a plan first, AI-Native Strategy shows where you stand and where to start, with a roadmap at the end. If your teams already use AI but aren’t seeing results, AI-Native Enablement changes how they work, from workflows and tools to training. If you need AI systems built, integrated, and running in production, a Forward Deployed Team does that inside your environment. To build or modernize your product, see AI Pilot Sprint, AI Product Modernization, or R&D Labs. If you’re not sure, tell us about your challenge and we’ll suggest the right fit.
