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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 team4 steps

Make the change stick, team by team

  1. Map

    We map how your teams use AI today and set a baseline.

  2. Redesign

    We redesign your product workflows around agentic AI.

  3. Train

    We train every role hands-on, on their own work.

  4. Hand over

    We hand over the workflows, measured against the baseline.

GleanTypefaceRubrikProtocol LabsSalesforceVodafone

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 changes

    AI 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 changes

    Agentic 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 changes

    AI 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 agents
    • Tickets reviewed one by oneReviews what agents propose
    • Research summaries take daysCalls summarised the same day
    • Static handoffsPrototypes in code with agents
    • Specs re-explained every sprintDesign system as agent rules
    • Writes every pull requestAgents open the pull requests
    • Long review queuesReviews and owns the merge
    • Tests written lastAgents write the tests first
    • Release notes by handNotes drafted from merged work
    • Candidates screened by handAgents shortlist against the role
    • Weekly report from scratchWeekly report written for them
    • Answers searched in old threadsAnswers from the team's context
    • Campaign visuals made one by oneVariations drafted with agents
    • Assets checked by handAgents check assets against the brand
    • Reports pulled together by handPerformance summary every Monday
    • Call notes typed after every callNotes and next steps written for them
    • Proposals 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 changes

    AI 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 PhaseTeam Subscription, Recommended for more impact, faster
Starting at€5k€20k/month
Best forTeams already using AI that aren’t seeing results yet or are struggling with adoptionScaling AI adoption across more teams and into operations
ScopeDefined together, starting from your goalsAn ongoing roadmap with agreed milestones
TeamA forward deployed team of product managers, designers, and engineers, depending on what you needA forward deployed product, engineering, and design team, taking the change to more teams
InvestmentFixed price for this phase, flexible from thereAgreed fixed monthly fee
CommitmentEnds with a plan you can act on and a first change tested with your team3-month minimum
Scope your Discovery PhaseDiscuss 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.

Let’s talk

Prices exclude VAT where applicable. Starting prices are indicative. Final investment and terms depend on the workflows and operating change in scope.

Portrait of Leslie Blanke
UJET logo

“It was very clear from the start that something was different. This team had that sense of ownership and accountability, and wanted to understand the broader strategy. Pixelmatters was the type of firm that would not let their team fail a client.”

Leslie BlankeCPO, UJET
Portrait of Andrew Woo
Protocol Labs logo

“We always felt like they were good about aligning expectations and making sure that we knew the key challenges and path to overcome. We really enjoyed working with them.”

Andrew WooCOO, Protocol Labs
Portrait of Dan Edson
Saviynt logo

“What stood out most was how embedded and proactive they were. They’ve anticipated needs, responded quickly, and taken ownership across design, development, and launch in a way that felt more like an internal team than an external agency.”

Dan EdsonVP of Marketing, Saviynt
Portrait of Tiago Veiga
Aurum Solutions logo

“They were responsive to our evolving needs, remaining flexible and available to adapt to our roadmap and any changes or new requirements that arose during the project. This approach was crucial in successfully launching our new software platform.”

Tiago VeigaCEO, Aurum Solutions
Portrait of Julia Lee
Rubrik logo

“Pixelmatters is all about agility. They have a flexible but meticulous approach to both Design and Development, which has been a perfect match for Rubrik’s mindset and rapid growth.”

Julia LeeVP of Strategy, Rubrik
Portrait of Carlos Vilhena
IDLayr logo

“It felt like a natural extension of our team, rather than an external provider. I also really appreciated having senior stakeholders jump in at important moments and provide guidance and recommendations to both teams on how to unlock difficult problems.”

Carlos VilhenaCTO, IDLayr

Questions about AI-Native Enablement