Decision-ready deliverables.
Not slideware.
Every output from a Trixova engagement is designed to be immediately actionable. Each deliverable is scoped to its audience — executives get clarity, IT and engineering teams get specifics.
AI Readiness Scorecard
A scored snapshot across five dimensions: data, applications, environment, operations, and business process — each rated and explained.
Best for leadership decisionsComplexity Scorecard
Rates the difficulty of your AI adoption path based on technical debt, integration complexity, data heterogeneity, and team capability.
Best for technical planningData Quality Report
Findings on data infrastructure, pipeline health, quality issues, and governance gaps that would affect AI performance.
Best for technical planningAI Use-Case Priority Matrix
A prioritized grid mapping business goals to viable AI use cases — scored by value, feasibility, and implementation risk.
Best for roadmap creationGap & Risk Analysis
A structured breakdown of what's missing between your current state and AI readiness — with risk ratings and mitigation options.
Best for risk planningAI Strategy Roadmap
Short, mid, and long-term action plan tied to your findings — with sequencing logic, dependencies, and resource estimates.
Best for roadmap creationExecutive Summary
A 2–3 page briefing for leadership — key findings, recommended actions, and investment implications. No jargon.
Best for leadership decisionsTechnical Findings Report
Deep-dive documentation for IT and engineering — architecture observations, data pipeline findings, and remediation steps.
Best for technical planningAI Architecture Design
Component-level design — model selection, data flow, RAG pipeline architecture, integration points, and deployment approach.
Best for technical planningPOC Feasibility Report
A structured go/no-go recommendation after a proof of concept — with technical findings, results, and a path-to-production plan.
Best for implementation readinessBuild-or-Buy Analysis
A structured comparison of build vs. buy vs. integrate for each AI capability — with cost, risk, and capability tradeoffs.
Best for leadership decisionsObservability Stack Design
Specification for instrumenting AI systems — metrics, logging, alerting thresholds, and SLO definitions for production reliability.
Best for implementation readinessWorkflow Automation Blueprint
End-to-end design for an automated workflow — trigger logic, step definitions, integration specs, and error handling.
Best for technical planningVendor & Tooling Recommendations
Vendor-neutral analysis of tools that fit your environment — with evaluation criteria, a shortlist, and implementation considerations.
Best for leadership decisionsMaintenance & Handoff Docs
Complete documentation for any system we build — architecture diagrams, runbooks, configuration guides, and onboarding materials.
Best for implementation readinessSee which deliverables apply to your situation.
Book a readiness assessment and we'll tell you exactly which deliverables apply to your engagement and why.