You’re not sure where to start with AI
Organisations that want to adopt AI but are unsure where to start and need a clear picture of what’s realistic in the next 6–12 months.
AI Consulting
Turn AI from buzzword to business outcomes.
- Align ambitious AI ideas with measurable business goals.
- Create guardrails so experimentation is safe and compliant.
- Plan PoC / MVP builds that deliver results fast.
When this engagement is the right lever to pull
Use this when you need structured thinking, stakeholder alignment, and clear next steps—not just ad‑hoc ideas about AI.
You have too many competing AI ideas
Teams with multiple AI ideas across functions that need a structured, value‑vs‑effort framework to decide what to do first.
You’ve run PoCs without a real roadmap
Leaders who have experimented with isolated PoCs and now need a cohesive roadmap that connects wins into a wider program.
You want pragmatic, production‑minded guidance
Businesses that want AI strategy grounded in delivery realities—not just slideware or vendor hype.
Ideas & examples
Where AI consulting creates real leverage
How we work
How we run AI consulting with your teams
Our AI consulting practice combines strategy, product thinking, and engineering depth. We start from your business goals and work backwards to the right mix of data, models, and workflows.
01
Discovery & Alignment
Stakeholder workshops to clarify objectives, constraints, and success metrics. Inventory of data sources and current tooling.
02
Use Case Prioritization
Shortlist and rank AI opportunities using a value vs. feasibility framework, with risk and compliance considerations built in.
03
Architecture & Experience Design
High‑level solution designs covering data flows, model choices, integration points, and user journeys.
04
PoC / MVP Planning
Define scope, timeline, and experiment design for first builds. Identify data needs, evaluation metrics, and rollout approach.
Business Outcomes
- Clear AI strategy and roadmap.
- Prioritized, impact‑weighted use case backlog.
- Reference architecture and guardrails.
- Executable PoC / MVP plan.
Featured Whitepaper
AI Adoption in 2025: A Framework for Enterprise Success
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.
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Vice President, Schneider Electric
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