You have critical decisions running on spreadsheets and manual workarounds
Planning, S&OP, or logistics still rely on offline models, email, and tribal knowledge despite growing complexity.
Signals that you’ll get outsized value from a partner that blends supply chain domain understanding with data, AI, and engineering depth.
Planning, S&OP, or logistics still rely on offline models, email, and tribal knowledge despite growing complexity.
PoCs in forecasting, routing, or risk scoring exist, but they’re not integrated into core workflows or systems of record.
You see the potential of your data, but integration gaps and inconsistent definitions block end‑to‑end visibility.
Leadership expects tangible improvements in cost, service, or working capital, not multi‑year transformation promises.
You need experienced teams to execute key initiatives while keeping your core organisation lean and focused.
You prefer incremental, interoperable solutions that work with your current stack rather than starting from scratch.
We combine domain‑aware consulting with hands‑on engineering to move quickly from opportunity mapping to live, supported solutions.
Map value across your supply chain
We assess your current planning, sourcing, manufacturing, and logistics landscape to identify high‑value, feasible initiatives with clear ROI and ownership.
Design data and solution foundations
We define the data model, integration approach, and reference architectures needed to support analytics and AI use cases without over‑engineering the stack.
Build, integrate, and iterate
Cross‑functional teams design and deliver solutions—dashboards, optimisation engines, machine learning models, and workflow tools—integrated with your ERP, WMS, TMS, and partner systems.
Operationalise and scale
We harden pilots into production services with monitoring, MLOps, and governance, then extend successful patterns across business units and regions.
Enable teams and embed change
We support adoption through training, playbooks, and co‑delivery with your planners, logistics teams, and IT so improved decisions become the default, not the exception.
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.