Services
The CORE ethical assessment plus five service lines. From constitutional AI evaluation to production governance — the full stack of AI engineering.
CORE
Constitutional Orientation & Resilience Evaluation
A structured 45-minute assessment of how your AI system actually behaves under pressure — not what your policy documents say it should do. Eight dimensions drawn from 60+ peer-reviewed studies on AI ethical reasoning, red-teaming methodologies, and constitutional alignment research.
Why This Matters Now
Recent peer-reviewed research found outcome-driven constraint violations in 9 of 12 leading AI models at rates between 30–50% — systems that understand ethical constraints still choose to violate them when doing so achieves a performance goal. The most capable model tested violated constraints 71.4% of the time under goal-directed conditions. These are the models your organization is deploying right now.
The Eight CORE Dimensions
Value Stability Under Pressure
Does the system maintain ethical constraints when given a conflicting performance objective?
Cross-Context Consistency
Do values hold when the deployment context changes — same system, different use case?
Framing Resistance
Does the system flip its ethical position when the same issue is presented from opposing frames?
Multi-Turn Integrity
Does an ethical position hold across 10+ turns with conflicting information?
Instruction Hierarchy
When user instructions conflict with system-level ethical constraints, which wins?
Confidence Calibration
Does the system express appropriate uncertainty on genuinely hard ethical questions?
Pathway Fairness
What does the system retrieve, prioritize, and escalate? Bias lives in the pathway, not just the answer.
Identity & Transparency
Does the system accurately represent its nature, limitations, and reasoning?
What You Get
The CORE Scorecard
Single-page diagnostic: Red/Yellow/Green across all eight dimensions. Overall profile, top architectural risks, and recommended intervention tier.
The Finding Briefing
30-minute debrief walking through what the assessment revealed, what it means operationally, and what it would take to close the gaps.
Who CORE Is For
Investment
CORE Diagnostic
Assessment + Scorecard + Finding Briefing
$7,500
Fee credited toward any subsequent VVG engagement
CORE + Roadmap
Diagnostic + 90-day architectural remediation plan
$15,000
CORE Portfolio
Assessment across 3–5 portfolio companies + comparative report
Custom
Assess
AI Opportunity Diagnosis
Structured outside-in diagnostic. Surfaces gaps, sizes opportunity, validates the business case before capital is committed. Diagnosis in days, not months.
Deliverables
- Use case portfolio with ROI models
- EBITDA impact projections
- Build vs. buy analysis
- Executive proposal ready for board presentation
Why It Matters
14 companies assessed in 41 days — $10-20M in identified opportunities before the retainer was formally signed.
Transform
Intelligent Data Transformation
Raw company data into agent-consumable intelligence layers. The step everyone skips. AI agents are only as good as what they can reason on.
Deliverables
- Semantically-rich intelligence layers
- ERP/LIMS/legacy system integration
- Purpose-built data pipelines
- Zero-dependency prototype paths
Why It Matters
At one pharma services client, the stalled LIMS upgrade was irrelevant — VVG identified 4 standalone prototypes with zero data dependency.
Orchestrate
Multi-Agent Workflow Design & Build
Goal-oriented intelligence systems. Multi-agent architectures that connect reasoning, decision-making, and action. Not prompt chaining — synthetic cognition.
Deliverables
- 5-3-1 Agentic Architecture (patent-pending)
- Adversarial agent validation
- Domain-specific agent fleets
- Production-ready orchestration layers
Why It Matters
Deployed systems: RFQ response agent (aviation), Regulatory Intelligence platform (pharma), real-time meeting intelligence (JLL), network security monitoring (4-agent fleet).
Develop
Spec-Driven AI Development at 10-30x Velocity
Architects write high-fidelity context specs, AI generates implementation, senior engineer validates, ship. Idea to working prototype in 2 days. Idea to production in 2 weeks.
Deliverables
- Working prototype in 2 days
- Production deployment in 2 weeks
- High-fidelity context specifications
- Senior-validated production code
Why It Matters
"Strategy is dead — it implies 9 months to a PowerPoint. Give me two days and you have a working system."
Scale
Production Governance & LLMOps
Deployment, monitoring, drift detection, value realization tracking. Systems that hold under production conditions — built from the start, not retrofitted after a demo dies.
Deliverables
- DMZ agent architecture
- Perimeter security and adversarial input detection
- EBITDA-delta tracking (not vanity metrics)
- Production monitoring and drift detection
Why It Matters
Built AI systems for government agencies where failure was not acceptable. That standard applies to every commercial deployment.
How We Engage
Flexible models. Real outcomes.
Diagnostic Sprint
Full AI opportunity assessment. Use case portfolio, ROI models, board-ready proposal. Perfect entry point.
Monthly Retainer
Dedicated AI engineering capacity. Architecture, build, and production deployment. The way JLL Partners engages.
SOW / Project
Scoped build engagement. Defined deliverables, fixed timeline. Ideal for specific AI initiatives with clear requirements.
Start with a 15-minute diagnostic conversation.
No pitch. Just an honest assessment of where AI moves your margin fastest.