Asterlight | AI Strategy & Roadmap Consulting

Validated AI Strategy: De-Risking Investment & Maximizing ROI

We deliver a comprehensive, fixed-price roadmap that eliminates "pilot purgatory." Stop building uncoordinated proofs-of-concept and start executing a phased plan with guaranteed executive buy-in.

The Problem: Unaccountable AI Spend

📉

Pilot Purgatory

POCs fail to transition to production due to missing data architecture, lack of MLOps, or insufficient governance, wasting capital.

⚖️

Unmanaged Risk

Deployment occurs without clear Responsible AI policies, exposing the organization to compliance, bias, and security vulnerabilities.

❌

No Business Alignment

AI projects are initiated by IT/data science without a direct, measurable link to executive-level financial or operational KPIs.

The Asterlight Alignment Process: Three Phases to Clarity

Phase 1: Readiness Audit & Value Mapping

We start by understanding your current state, identifying immediate high-value use cases, and establishing the financial justification for investment.

Data Maturity Assessment: Review of data quality, accessibility, and governance structures.
Executive Interview Series: Identification of core business challenges and existing bottlenecks.
ROI Modeling: Quantifying the expected return (e.g., cost savings, revenue generation) for each potential AI use case.

Phase 2: Phased Roadmap & Technical Blueprint

We translate the prioritized use cases into an actionable, multi-year roadmap, detailing the technical architecture and resource requirements.

Phased Execution Plan: 12-36 month roadmap with clear milestones, resource allocation, and budget estimates.
Target Data Architecture: Blueprint for cloud-native data platforms (Lakehouse) required to support MLOps.
Capability Gap Analysis: Identification of internal skill deficits to be addressed by the EMPOWER stream.

Phase 3: Governance Framework & Executive Buy-In

The final deliverable is an executive-ready presentation that secures funding and establishes the necessary governance structure to manage AI risk.

Responsible AI Framework: Initial draft policies covering bias, privacy, and explainability (XAI).
Executive Consensus Workshop: Presentation of the final Roadmap, ensuring all stakeholders are aligned on investment and risk.
Metric Handover: Clear metrics defined to measure success through the EMPOWER and SCALE phases.

Why Asterlight Strategy is Different

Fixed-Price Accountability

Our strategy engagements are structured as a fixed deliverable, not open-ended hours. You know the cost and the outcome before we begin.

Focus on Internal Ownership

The roadmap is designed to be executable by your team. We identify specific skill gaps (EMPOWER) and infrastructure needs (SCALE).

Deployment-First Strategy

We only recommend use cases that we know can be successfully put into production using modern MLOps and cloud-native architecture.