AI that delivers measurable ROI, not AI theater
Aethyrn delivers complete AI product development with measurable business outcomes. We plan, build, launch, and operate AI systems with best-in-class visibility and continuous improvement.
What Aethyrn Delivers
We provide end-to-end AI product development with measurable business outcomes.
- ROI-first AI product planning tied to measurable KPIs and baselines
- Designing and implementing AI systems (LLMs, agents, ML, CV, personalization)
- Production launches with governance and reliability built in
- Ongoing maintenance, monitoring, and optimization through Managed AI Operations
How We're Different
Unlike generic AI boutiques, we treat visibility and measurement as core product features.
ROI-first planning tied to measurable KPIs and baselines
ROI-first planning tied to measurable KPIs and baselines
AI Control Tower
visibility and metrics shipped with every deployment
Full lifecycle ownership
plan → build → launch → operate → improve
Research-to-production loop
internal research produces deployable artifacts
Model-agnostic and vendor-neutral
right approach per use case
AI Control Tower
Best-in-class visibility and metrics shipped with every deployment.
Metrics Categories
Quality
Task success, groundedness, refusal rate, error taxonomy
Performance
Latency, throughput, uptime
Cost
Cost per task, model mix, caching efficiency
Business
Deflection, cycle time, conversion lift, revenue impact
Research-to-Production Loop
Our internal applied research program continuously improves evaluation, reliability, cost efficiency, and domain adaptation across all client deployments.
Research Artifacts We Maintain
- Evaluation harness and regression suite shipped with every deployment
- Real-time monitoring dashboards tracking quality, cost, latency, and business KPIs
- Rollout playbooks and risk mitigation protocols
- A/B testing framework for model and prompt optimization
- Cost optimization reports with model mix recommendations
- Monthly executive readouts with actionable insights
Services
Productized engagement ladder from opportunity assessment to ongoing operations.
AI Opportunity & Readiness Sprint
10 business days
A rapid assessment that identifies high-ROI AI opportunities, evaluates technical feasibility, and delivers a prioritized roadmap with success metrics and risk assessment.
Learn more →Production Pilot
4-6 weeks
A focused implementation of a single high-value use case, delivered production-ready with the AI Control Tower, evaluation suite, and operational playbooks.
Learn more →Production Launch
6-12+ weeks
Full-scale implementation of multiple use cases or a complex AI system, with comprehensive integration, governance, and operational readiness.
Learn more →Outcomes We Drive
Typical metrics we track across deployments. Results vary by use case and baseline conditions.
Quality
Measures of AI system accuracy, reliability, and task completion success.
- • Task success rate
- • Groundedness/citation rate (for RAG systems)
- • Refusal rate
Performance
System speed, throughput, and availability metrics that impact user experience.
- • Latency (p50, p95, p99)
- • Throughput (requests per second)
- • Uptime and availability
Cost
Financial metrics tracking AI system operational costs and efficiency.
- • Cost per task
- • Cost per user
- • Model mix and routing efficiency
Business
KPIs that measure real business impact and ROI of AI deployments.
- • Deflection rate (support use cases)
- • Average handle time (AHT) reduction
- • Cycle time improvement
Risk
Metrics that track security, compliance, and operational risk factors.
- • PII detection and redaction rate
- • Policy violation incidents
- • Access control audit coverage
Example Business Impact by Use Case
Support & CX
- • Deflection rate: 40-60% of inquiries resolved without human agent
- • Average handle time: 30-50% reduction
- • First contact resolution: 20-30% improvement
- • Customer satisfaction: Maintained or improved
Operations
- • Cycle time: 25-40% reduction in process completion time
- • Error rate: 50-70% reduction in manual errors
- • Throughput: 2-3x increase in processing capacity
- • Cost per transaction: 30-50% reduction
Product & Engagement
- • Conversion rate: 10-25% lift in key conversion funnels
- • User engagement: 20-40% increase in feature adoption
- • Personalization effectiveness: 15-30% improvement in recommendations
- • Time to value: 40-60% reduction for new users
How We Work
Align
Define business objectives, success metrics, and stakeholder alignment. Establish baselines and ROI targets.
Assess
Evaluate technical feasibility, data availability, integration requirements, and risk factors. Select optimal approach.
Design
Architecture design, system integration plan, evaluation framework, and governance structure. Define quality gates.
Build
Implement AI system with evaluation harness, monitoring infrastructure, and integration components. Follow best practices.
Validate
Run evaluation suite, regression tests, and quality gates. Validate against baselines and success criteria.
Launch
Deploy to production with rollout playbook, monitoring active, and operational runbooks in place.
Operate & Improve
Monitor performance, optimize cost and quality, conduct A/B tests, and deliver monthly executive readouts.
Security & Compliance
Enterprise-grade security practices built into every deployment.
Data Encryption
Encryption at rest and in transit
Compliance Ready
SOC 2, HIPAA, GDPR compatible
Vendor Neutral
No lock-in, choose your stack
Audit Trails
Comprehensive logging and monitoring
Frequently Asked Questions
Ready to deploy AI that delivers measurable ROI?
Book a call to discuss your AI opportunities and readiness.