Built for measurable AI ROI
We help companies evaluate, operationalize, and govern AI systems for measurable business impact.
Aethyrn is a consulting-led partner for AI evaluation, KPI design, implementation, and governance so executive teams can scale AI with confidence and measurable ROI.
Track KPI lift from pilot to production.
Operate with controls, quality, and visibility.
Move from strategy to launch faster.
Why AI initiatives stall
- Teams launch pilots without clear baselines, so impact is hard to prove.
- Leadership lacks a shared KPI framework for quality, risk, cost, and business outcomes.
- Governance, compliance, and model oversight are added too late in the lifecycle.
- Operational ownership is unclear, resulting in fragile AI systems and low adoption.
What Aethyrn solves
Evaluation clarity
Translate AI opportunities into measurable business cases with KPIs, baselines, and confidence thresholds.
Operational readiness
Design and deploy systems that fit real workflows, integrate with existing tools, and scale beyond proof-of-concept.
Governance by design
Build monitoring, risk controls, and executive visibility into every phase to keep AI aligned with policy and ROI goals.
How It Works
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1. Assess existing AI strategy and gaps
We review your current AI initiatives, delivery risks, and organizational constraints to identify where value and execution are getting blocked.
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2. Define success metrics and readiness
Together we establish KPI baselines, governance requirements, and readiness criteria so every decision can be tied to business impact.
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3. Run a pilot or evaluation sprint
We execute a scoped engagement that proves value quickly while hardening quality, security, and operational processes.
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4. Deploy AI Control Tower for ongoing improvement
Monitoring dashboards, scorecards, and monthly readouts keep teams focused on measurable outcomes and continuous optimization.
Service engagements
Opportunity Sprint
Prioritize high-impact use cases, define baseline KPIs, and align leadership on where AI investment should go first.
Pilot
Ship a focused implementation with quality gates, governance controls, and measurable business outcomes in weeks.
Launch
Deploy production-ready AI workflows with integration, monitoring, risk controls, and executive reporting.
Ongoing Operations
Maintain performance, optimize cost, and continuously improve quality through managed AI operations and KPI reviews.
Trust and measurable credibility
Case study teaser: support automation
Reduced resolution cycle time and improved handoff quality by implementing KPI-led evaluation and governance checkpoints before rollout.
Case study teaser: revenue operations
Improved conversion workflow performance while lowering model spend through metric-driven routing and ongoing optimization.
Outcomes we track
Every engagement is measured across consistent KPI categories: business impact, quality, cost, performance, and risk/compliance.
Placeholder for future client logos and verified outcome snapshots.
Frequently Asked Questions
Ready to operationalize AI with measurable ROI and governance?
Start with a readiness discussion and receive a sample KPI framework tailored to your AI goals.