You’re outgrowing manual, founder-led delivery
Demand is strong but scheduling, coordination, and reporting are bottlenecked by spreadsheets, email, and ad-hoc tools.
You’re ready to treat technology as a core enabler of growth, not just a delivery channel.
Demand is strong but scheduling, coordination, and reporting are bottlenecked by spreadsheets, email, and ad-hoc tools.
You have proven programs or methodologies and need digital products and platforms to package them into scalable offerings.
Corporate customers are asking for utilisation, progress, and outcome reporting that your current tools can’t reliably provide.
You want to support blended learning, cohorts, self-paced modules, and communities without fragmenting the tech stack.
You’re interested in AI for personalisation, feedback, or operations efficiency, and want to move beyond isolated experiments.
You require a mix of fixed-scope initiatives and ongoing engineering capacity to evolve your platforms as your programs grow.
We combine product, engineering, and data expertise to help coaching and training organisations modernise how they design, deliver, and measure programs.
Discovery & value mapping
We clarify your growth model, delivery constraints, and learner segments, then map where technology, data, and AI can unlock the highest commercial and learner impact.
Experience and platform design
We design end-to-end learner and coach journeys, define platform capabilities and integrations, and prioritise a roadmap that balances new build with pragmatic reuse.
Build, integrate, and automate
Our teams implement or extend platforms, automate manual workflows, and connect LMS, CRM, payments, and content systems using robust, secure architectures.
AI and analytics enablement
We introduce targeted AI and analytics—such as recommendation, insights, and quality monitoring—grounded in clear metrics like utilisation, NPS, and completion rates.
Rollout, adoption, and iteration
We support pilot rollouts, coach and trainer onboarding, and change management, then iterate based on data and feedback to improve engagement and unit economics.
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.