Companies are making six-figure AI decisions based on vendor demos and blog posts. They buy API subscriptions without understanding their data infrastructure. They deploy models without governance frameworks. They automate processes without auditing which ones should be automated at all.
The result is predictable: wasted spend, compliance gaps, security blind spots, and AI projects that stall because the foundation was never assessed.
Our AI Readiness Evaluation gives you the honest picture before you commit. Four dimensions. One scored report. A prioritized roadmap you can act on immediately.
Four dimensions of readiness
Each dimension is scored independently. Together they give you a complete picture of where you stand, what to fix first, and what to defer.
We map every manual process in your operation, score each by ROI and implementation complexity, and identify which ones AI can genuinely replace versus which ones need human judgment.
✓Process inventory and workflow mapping
✓ROI scoring per automation candidate
✓Complexity and dependency analysis
✓Phased implementation roadmap
✓Quick wins versus long-term projects
AI is only as good as the data it operates on. We catalog what you have, where it lives, who owns it, and how it flows. Then we identify the gaps that will block your AI initiatives.
✓Data catalog and ownership mapping
✓PII exposure and sensitivity scan
✓Compliance gap analysis (HIPAA, GDPR, SOC 2, EU AI Act)
✓Data quality scoring and remediation plan
✓Lineage and flow documentation
AI introduces new attack surfaces that traditional security audits miss. We evaluate your current posture through the lens of AI-specific risks, from prompt injection to data exfiltration via model outputs.
✓AI-specific attack surface assessment
✓API key and credential management review
✓Model access control and permission audit
✓Prompt injection and data leakage vectors
✓Third-party AI vendor risk evaluation
Should you run your own LLMs or pay per API token? The answer depends on volume, latency requirements, data sensitivity, and total cost of ownership. We model both scenarios with your real numbers.
✓Self-hosted LLM cost modeling (hardware, power, staff, maintenance)
✓API token service cost projection at your actual usage volume
✓Break-even analysis across usage tiers
✓Hybrid architecture design (local for high-volume, API for reasoning)
✓Privacy, latency, and compliance tradeoff matrix
Self-hosted LLMs vs. API services
This is the question most organizations get wrong because they evaluate it on vibes instead of math. We model both paths with your actual data.
Self-Hosted LLMs
Running models like Llama, Mistral, or DeepSeek on internal GPU servers, orchestrated through Claude Code or similar tooling.
Data stays on-premise. No sensitive information leaves your network. Critical for healthcare, legal, and financial services.
Predictable costs at scale. Once hardware is purchased, per-query cost approaches zero. Breaks even at high-volume usage.
Lower latency for local workloads. No network round-trip for inference. Faster response for real-time applications.
Significant upfront capital (GPU servers, cooling, power). Requires staff to maintain, update, and troubleshoot.
Open-source models lag behind frontier models in complex reasoning, code generation, and nuanced analysis.
API Token Services
Using cloud AI providers like Anthropic (Claude), OpenAI, or Google, paying per token consumed via their APIs.
Frontier model access. Always the latest, most capable models. No waiting for open-source to catch up on reasoning quality.
Zero infrastructure overhead. No GPU procurement, no cooling, no staff. You pay only for what you use.
Instant scaling. Handle 10 requests or 10,000 without capacity planning. Built-in redundancy and uptime guarantees.
Cost scales linearly with usage. At very high volumes, per-token pricing can exceed self-hosted alternatives.
Data leaves your network. Requires trust in provider security and compliance certifications.
The real answer is usually hybrid
Most organizations benefit from a hybrid approach: self-hosted models for high-volume, low-complexity tasks (classification, extraction, summarization) and API services for complex reasoning, code generation, and strategic analysis. We model the exact split point for your usage patterns, so you know where each dollar is best spent.
From discovery to scored roadmap
Discovery Call
Free 30-minute call. We learn about your organization, your current AI usage (if any), your goals, and your constraints. No commitment required.
Data Collection
We gather information about your tools, workflows, data systems, security posture, and current infrastructure. Interviews with key stakeholders, system inventory, and process documentation.
Analysis
Our team scores each of the four dimensions independently. We model your infrastructure economics with real numbers, not estimates. We map every automation candidate against ROI and risk.
Readiness Report
You receive a scored assessment across all four dimensions with specific findings, risk ratings, and a prioritized action plan. Clear enough for executives, detailed enough for implementation.
Roadmap Review
We walk through every finding and recommendation live. You ask questions, we adjust priorities based on your business context. Optional: move directly into implementation engagement.
15+ years of enterprise data and governance
$2M governance platform at a major financial exchange. Data lineage, metadata standards, and compliance frameworks deployed across mortgage technology and trading divisions.
$3M revenue from pharmaceutical analytics platforms. Clinical data, fraud detection processing billions in billing data. 99.95% compliance screening accuracy.
$240M merger with $4B in data migration. Full technology integration across 30 departments. 900+ processes documented and audited for compliance.
Production AI systems running 50+ autonomous agents across multiple platforms. Self-hosted and API-based model orchestration. Real cost data from operating both architectures simultaneously.
HIPAA, GDPR, SOC 2, and EU AI Act compliance experience across healthcare, financial services, and government. AI-specific security governance frameworks designed and deployed.
Get your readiness score
before you invest.
Book a free discovery call. We will learn about your organization, identify the highest-impact areas, and scope the evaluation engagement.