Built for enterprise buyers who understand that real AI work requires structure, leadership, and commitment.
That’s why we’ve structured Likeable’s work into four engagement tiers—each built around a clear scope, specific frameworks, and accountability at every step. We don’t start work until we know what’s needed. And we don’t guess.
These are the four ways to get started—with intent.
You’re not ready to build—but you are ready to get serious.
Foundation™ is a structured readiness engagement for teams preparing to invest in AI. We assess infrastructure, compliance posture, use case fit, and internal alignment. What you get is a real roadmap—not a slide deck.
What’s included:
Timeline: ~2–3 weeks
Best for: Teams prepping for enterprise-scale decisions with real visibility
Prove value in weeks—not quarters—with governance baked in.
Momentum Track™ is Likeable’s structured pilot. It’s where we take one high-priority use case and show what orchestration looks like at speed. Not a demo. A deployed, tracked, and measured system with real-world results.
What’s included:
Timeline: ~3–4 weeks
Best for: Innovation leaders, CIOs, or BUs needing internal proof to unlock scale
The full Likeable consulting engagement. From ingestion to governance.
Transformation™ is our flagship delivery model. It covers strategy, deployment, orchestration, security, and impact tracking. Everything we build is backed by frameworks—and scoped to hold up under board-level and regulator-level scrutiny.
What’s included:
Timeline: 3–6 months
Best for: Enterprises executing serious AI mandates with multi-stakeholder impact
Run Likeable’s orchestration platform in your own environment.
Platform Plus™ is for organizations who’ve been through Foundation, Momentum, or Transformation—and are ready to operationalize Likeable at scale. This is not a product demo. It’s controlled deployment of a full-stack orchestration environment, tailored to your governance tier.
What’s included:
Availability: Added based on consulting tier
Best for: Organizations with internal engineering capacity and compliance obligations
We get it. Every enterprise is in a different place with AI. That’s why we begin with one question: What are you actually trying to deliver? From there, we’ll help you scope the right track—and show you how our frameworks apply in environments like yours.