You have data, but it’s fragmented across tools
Customer and campaign data lives in multiple systems, making it hard to build a single view or run advanced analytics.
We’re most effective when marketing, data, and technology leaders are aligned on outcomes and ready to move beyond isolated tools.
Customer and campaign data lives in multiple systems, making it hard to build a single view or run advanced analytics.
Platforms like CRM, CDP, or marketing automation are in place, yet teams rely on manual workarounds and exports.
You’ve run pilots or vendor demos, but don’t have the engineering and data foundations to deploy AI safely at scale.
Leadership expects clear attribution and ROI, but existing reporting can’t reliably connect spend to pipeline or bookings.
Channel expansion, new regions, or product growth are exposing manual, brittle workflows that can’t keep up.
You need a partner who can deliver defined initiatives and also provide ongoing, embedded capacity across campaigns.
We combine marketing domain expertise with engineering, data, and AI capabilities to deliver both targeted projects and ongoing capacity.
Align on growth objectives and constraints
We start by clarifying revenue goals, key funnels, existing martech stack, and data realities to identify where technology can move the needle fastest.
Prioritise and design high-impact initiatives
Together we map opportunities—audience, journey, analytics, AI—and shape a roadmap that balances quick wins with foundational investments.
Build, integrate, and automate
Our engineers and data specialists implement the agreed solutions, integrating with your CRM, CDP, ad platforms, and analytics to reduce manual work.
Operationalise AI and experimentation
We productionise models, set up experimentation frameworks, and embed monitoring so AI-driven decisions remain accurate, explainable, and safe.
Enable teams and iterate
We train your marketing, analytics, and ops teams, then support continuous optimisation through either fixed-scope enhancements or dedicated pods.
A practical roadmap for executives launching enterprise-scale AI initiatives—covering governance, architecture, success metrics, and change management.
Autolayer
AI Adoption in 2025:
A Practical Framework for Enterprise-Scale Impact
Includes governance playbooks, rollout sequencing, and lessons from Fortune 500 launches.
Fresh perspectives on technology, product delivery, and enterprise transformation.
We help companies and individuals build out their brand guidelines.

“Autolayer helped us unify our partner reporting across Africa. Their team is relentless about solving the tough problems.”
Stay ahead with Autolayer
Short, useful emails on building and scaling digital products — from architecture patterns and delivery playbooks to real-world lessons from our work with engineering teams.