Analytics & AI
Measurement you can trust and AI teams adopt.
Build measurement you can trust and AI your teams adopt. We design for explainability, observability, and safe use.
Our Offerings
Dashboards and data quality/observability designed around decisions leaders make every week.
Predictive maintenance, triage, and computer vision for real business problems.
Model monitoring, user enablement, and guardrails for production use.
Trust‑by‑Design Principles
Explainability
Show the reasoning in words users understand.
Observability
Track accuracy, data quality, drift, and overrides.
Guardrails
Boundaries for autonomy, with clear escalation.
Adoption
Designed to augment people and fit existing workflows.
Typical Outcomes
>50% reduction in unplanned downtime through predictive maintenance
Material maintenance savings with 94% prediction accuracy
Decision-ready metrics leaders use weekly with fewer meetings
AI in production that teams actually use with measurable business impact
Our Approach
Frame
Align on outcomes and constraints; define success criteria and KPIs.
Simplify
Map the few choices that matter. Remove complexity that slows execution.
Prove
Pilot assumptions with baselines. Publish results and implications.
Scale
Embed governance and review rhythms so the plan stays live.
Artefacts You Keep
Measurement strategy with KPI trees and data governance frameworks
Dashboards with real-time visibility and automated alerting
Model cards with explainability, performance metrics, and monitoring
Data quality and observability checks with automated validation
MLOps pipelines with version control, testing, and deployment automation
User enablement materials and guardrails for safe AI adoption
Selected Proof
Frequently Asked Questions
Ready to build trustworthy AI?
Start with an outcome sprint to identify your highest-impact analytics and AI opportunities.