The 14-Day Enterprise
AI Readiness & Execution Blueprint.
Stop guessing which AI tools to adopt. We conduct a structured diagnostic of your data pipelines, security posture, and human workflows to deliver an executive 6-month roadmap with quantifiable ROI projections.
14-Day Turnaround Full Architecture Feasibility Matrix Executive Boardroom Presentation Included
Don't Spend $100k on AI Until You Know Your Data Is Ready.
Most enterprise AI projects fail because organizations attempt to deploy advanced models on fragmented, unstructured data foundations.
Garbage In, Garbage Out
Models hallucinating because internal knowledge bases are disorganized, contradictory, or inaccessible.
Unbudgeted Token Escalation
Choosing inappropriate foundation models that drive up operational costs by 10x compared to optimized small language models (SLMs).
Security & Regulatory Exposure
Deploying third-party AI tools without strict DLP (Data Loss Prevention) and SOC2 compliance controls.
Engineering Disillusionment
Engineers spending months wrangling APIs without a validated architectural specification.
The 3 Core Deliverable Assets
Technical Gap & Data Hygiene Matrix
A line-by-line audit of your internal databases, APIs, CRM data completeness, and vectorization readiness.
High-Impact Use-Case ROI Prioritization Grid
We evaluate all potential automation and AI initiatives on an Effort vs. EBITDA Impact matrix, identifying the 2-3 "quick-win" high-margin deployments.
6-Month Phased Implementation Roadmap
Complete sprint breakdown, recommended tech stack, compute budget estimates, and staffing requirements.
The 4-Pillar Evaluation Framework
1. Data Infrastructure & Security
Access controls, vector database suitability, and retention policies.
2. Operational Workflow Efficiency
High-friction human handoffs and repetitive CRM bottlenecks.
3. Technical Architecture & APIs
API rate limits, webhooks, middleware compatibility, and latency limits.
4. Commercial Feasibility & ROI
Payback periods, token cost modeling, and expected human-hour savings.
Why Choose OPSGEN over Big-4 Consultancies?
| Dimension | Traditional Consultancy | OPSGEN AI Readiness Blueprint |
|---|---|---|
| Turnaround Time | 3-6 Months of meetings | 14 Business Days |
| Deliverable | 100-page generic theoretical deck | Actionable Technical Architecture & Code Specs |
| Team | Generalist junior analysts | Principal AI & Quant Architects |
| Pricing | $50,000-$150,000+ | Transparent, Fixed Productized Investment |
Strategic AI Readiness FAQ
Q: How much time will our internal engineering team need to spend during the audit?
A: Very little. We require only 2-3 hours of structured technical discovery with your lead architect and access to non-sensitive architecture documentation.
Q: What if our data is currently messy or unstructured?
A: That is the exact purpose of the Blueprint. We diagnose where the data is broken and provide the data cleaning and ingestion scripts required before model deployment.
Q: Are we obligated to hire OPSGEN for implementation?
A: No. The Blueprint is an independent, self-contained technical specification that your in-house team or any third-party vendor can execute seamlessly.
Build Your AI Foundation on Solid Engineering.
Book an initial 30-minute diagnostic session to assess your eligibility for our 14-Day AI Readiness Blueprint.
Guarantee: Receive a 3-point feasibility summary on our initial call with zero sales pressure.