One prioritized use case tied to revenue, throughput, response time, or queue performance.
Fixed-fee diagnostic
Find the first operating loop where agentic analytics can move an outcome
Start with one KPI, queue, or bottleneck. The diagnostic turns a broad AI or analytics idea into a scoped monitor, explain, recommend, approve, and measure path.
Final scope depends on stakeholder count, workflow complexity, and available operating data.
Prototype-backed approach
A real watchtower pattern, not a slide-only assessment
The diagnostic is built around the same operating model as the Watchtower prototype: semantic KPIs, deterministic monitoring, explainable drivers, recommendations, approvals, action history, and effectiveness tracking.

Deliverables
What the diagnostic produces
The goal is a practical decision point: where to pilot, what to defer, and what needs to be true before implementation.
Current-state workflow, KPI, owner, and decision-path breakdown.
Data, semantic-layer, and governance readiness assessment.
Prototype operating-loop design with monitor, explain, recommend, approve, and measure steps.
ROI framing and recommendation for a pilot, implementation path, or no-build decision.
Operating model
The loop the diagnostic scopes
Each assessment is anchored in a concrete workflow that can be monitored, explained, governed, and measured.
Detect
Monitor semantic KPIs and queues for variance that is large enough, timely enough, and valuable enough to review.
Explain
Surface drivers, evidence, and plain-language narratives so operators can understand why the signal matters.
Prioritize
Rank insights by impact, confidence, urgency, deadline risk, and whether an owner can act.
Trigger
Recommend next-best actions with approvals, policy context, accountable owners, and fallback paths.
Measure
Track decisions, action history, observed impact, and effectiveness so the loop improves over time.
Where it fits
Built for Chattanooga and Southeast operators
The diagnostic works best when there is a real operational queue, KPI variance, or handoff problem with enough value and accountability to justify action.
Manufacturing
Throughput drift, downtime patterns, quality variance, inventory exceptions, and escalation workflows.
Healthcare
Denials, underpayments, AR aging, payer behavior, clean claims, and revenue cycle queue prioritization.
Logistics
Shipment exceptions, delay risk, route and carrier variance, backlog aging, and service-level drift.
Public Sector
Resident-service backlogs, inspection queues, permitting delays, response-time drift, and policy-aware routing.
Next steps
If the diagnostic validates a path, the next step is a focused pilot
The site publishes the diagnostic range only. Pilot and ongoing engagement scopes are defined after the workflow, data readiness, and governance needs are clear.
Agentic Analytics Diagnostic
A scoped starting point for identifying the first KPI, queue, or exception pattern where agentic analytics can create measurable movement.
Watchtower Pilot
A focused pilot that turns one workflow into a monitored, explainable, approval-aware operating loop.
Fractional Agentic Analytics Lead
Senior guidance for KPI design, semantic-layer decisions, governance patterns, pilot review, and scaling choices.
Thrash Analytics LLC
Bring one KPI, queue, or operational bottleneck.
We will identify whether agentic analytics can create a governed path to measurable movement.
Chattanooga Agentic Analytics Scorecard
Use the scorecard to evaluate KPI readiness, explainability, governance controls, action tracking, and outcome learning.
Form loading.
