Deploy Agentic AI With Confidence.
Your teams want to use tools like Claude Code and agentic workflows. Security, compliance, and skills gaps stand in the way. We remove those blockers, from assessment through production deployment and ongoing operations.
Engagement Tiers
Cloud Platforms
Time to Assessment
Vendor-Neutral
Up and running in 4–8 weeks.
The Challenge
The Gap Between Interest and Adoption
Most organizations are past the question of whether to use AI. The real blockers are practical: Where do we run these models securely? What policies govern their use? Who trains the team? How do we avoid shadow AI sprawling across departments?
Agentic tools like Claude Code, Copilot, and custom LLM workflows are powerful. But deploying them in a regulated environment requires infrastructure, governance, and skills that most organizations have not built yet.
Our Agentic Enablement program closes that gap. We handle the full path: assess your readiness, build the secure foundation, train your people, and stay on as the technology evolves.
Shadow AI is already here
Teams are using personal Claude accounts, Cursor, Copilot, and ChatGPT with no audit trail. Only 10% of law firms have formal AI policies despite 79% of lawyers using AI tools in practice.
Security and compliance are non-negotiable
Client data and privileged communications require enterprise-grade controls. Research shows 85%+ prompt injection success rates against some popular tools. Claude Code rates "Low" risk; others rate "Critical."
Skills gaps slow everything down
Even with the right tools deployed, adoption stalls without structured training and internal champions who can sustain momentum.
Tier 1
Assessment & Readiness
1–2 weeks. We start by mapping where your organization stands today. That means understanding what tools people are already using, what infrastructure exists, and where the gaps are in policy, security, and skills.
The assessment covers six dimensions: infrastructure readiness, model and tool availability, security posture, governance maturity, team capabilities, and use case prioritization. We score each dimension and identify the specific actions needed to move forward.
The output is a readiness report with a prioritized roadmap: what to do first, what can wait, and what the realistic timeline looks like for your organization.
Shadow AI audit
Identify what tools and models people are already using across the organization, including unapproved consumer tools and personal API keys.
Use case identification
Map high-value use cases specific to your practice areas and workflows. Prioritize by impact, feasibility, and risk.
Gap analysis and roadmap
Deliverable: a clear readiness report covering infrastructure, policies, and skills, with a prioritized action plan.
Tier 2
Secure Foundation
2–4 weeks. With the assessment complete, we build the controlled environment your teams need. This means production-grade LLM access through enterprise cloud platforms, with proper identity management, access controls, and audit trails.
We work with AWS Bedrock, Azure OpenAI, and GCP Vertex AI. The choice depends on your existing cloud footprint, compliance requirements, and model preferences. We design for flexibility so you are not locked into one provider.
Alongside the technical setup, we draft the governance documents: acceptable use policies, data handling procedures, and model governance frameworks. These are practical documents designed to be followed, not shelf-ware written to satisfy auditors.
Enterprise cloud deployment
Configure Claude Code, Codex CLI, or Gemini CLI through AWS Bedrock, Azure OpenAI, or GCP Vertex AI. VPC PrivateLink, Private Endpoints, or Private Service Connect ensure no traffic touches the public internet.
Identity and access controls
Integration with your existing SSO and identity provider via OIDC federation. Per-user attribution through IAM roles, not shared API keys.
Audit and compliance
Every API request logged through CloudTrail, Azure Monitor, or Cloud Audit Logs. Usage dashboards, cost tracking, and compliance reporting from day one.
Policy and governance documents
Deliverable: acceptable use policy, data handling procedures, and model governance framework built on our published five-layer governance stack. Practical, enforceable, and tailored to your regulatory environment.
Tier 3
Enablement & Adoption
Ongoing, modular. Infrastructure without adoption is wasted investment. This tier puts the tools into people's hands with the training and support they need to use them effectively.
We run guided workshops where teams work with Claude Code, agentic workflows, and prompt engineering on real problems from their own practice. No generic demos. Participants leave each session with skills they can apply immediately.
For teams ready to move faster, we run rapid prototyping sprints. Bring a real business problem; we build a working solution in one to two days. The prototype proves (or disproves) the concept before any larger commitment.
Guided workshops
Hands-on sessions with Claude Code, agentic workflows, and prompt engineering. Real scenarios from your practice, not generic chatbot exercises.
Rapid prototyping sprints
Take a real business problem, build a working solution in 1-2 days. Prove the concept before committing to full development.
Train-the-trainer programs
Build internal champions who can sustain adoption after our engagement ends. We transfer knowledge, not create dependency.
Kelvin Simulator
Our proprietary training tool provides safe, controlled practice environments. Teams experiment with prompt construction, model behavior, and agentic patterns without risk.
Tier 4
Managed Agentic Operations
Retainer. The AI field moves fast. Models improve quarterly. New tools appear monthly. Regulations shift. A deployment that is optimized today will need updates tomorrow. This tier keeps you current.
We provide ongoing advisory on new models and capabilities, update your policies as the regulatory environment evolves, and build custom agents for workflows specific to your organization. You also receive Kelvin Intelligence briefings on market trends, competitor AI adoption, and talent movements.
The retainer scales with your usage. Start with advisory and intelligence. Add custom agent development as your needs grow. The goal is a steady operating partner, not a one-time engagement that leaves you maintaining systems alone.
Model advisory
Quarterly evaluations of new models and capabilities. Cost optimization reviews. Recommendations on when to upgrade, switch, or wait.
Policy maintenance
Acceptable use policies, data governance, and compliance documentation updated as regulations and technology evolve.
Custom agent development
Purpose-built agents for your specific workflows. Ongoing maintenance, monitoring, and performance optimization.
Kelvin Intelligence briefings
Market intelligence on AI adoption trends, competitor activity, regulatory developments, and talent market shifts in your sector.
Platforms We Support
Vendor-Neutral, Platform-Flexible
We configure and deploy across the major enterprise AI platforms. Your existing cloud footprint and compliance requirements guide the choice.
Claude 4 family and other models through Amazon's managed service. Native integration with AWS IAM, CloudTrail, and VPC controls.
GPT-5 family and other models through Microsoft's enterprise platform. Integrates with Azure AD, compliance tools, and existing Microsoft infrastructure.
Gemini 3 family and other models through Google Cloud. Native integration with Google Workspace, Cloud IAM, and BigQuery for usage analytics.
Deployment and configuration of agentic coding tools with OS-level sandboxing, permission controls, and enterprise identity integration.
Centralized API management for multi-model environments. Request routing, rate limiting, cost allocation, and usage tracking across providers.
Connect AI capabilities to your document management, practice management, billing, and other internal systems through secure, audited APIs.
How We Work
A Structured Path from Assessment to Operations
Each tier builds on the previous one. Start where you are, go as far as you need. Most organizations begin with Tier 1 and progress based on the roadmap it produces.
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Week 1-2: Discovery and Assessment
We interview stakeholders, audit current tool usage, evaluate infrastructure, and assess policy maturity. The output is a scored readiness report with a prioritized action plan.
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Week 3-6: Secure Foundation Build
We configure your enterprise AI environment: cloud platform setup, identity integration, audit logging, and governance documentation. Your team gets controlled access to production-grade models.
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Week 7+: Training and Adoption
Guided workshops, rapid prototyping sprints, and train-the-trainer programs. Teams build real solutions with real tools on real problems. Adoption is measured, not assumed.
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Ongoing: Managed Operations
Quarterly model reviews, policy updates, custom agent development, and Kelvin Intelligence briefings. A steady operating partner who keeps your AI capabilities current.
Why 273 Ventures
Not Just Consultants Talking About AI
We build AI products
Kelvin Agentic OS and Kelvin Intelligence are production systems we built and operate. Our implementation guidance comes from direct experience shipping AI products, not from reading vendor documentation.
Published research and textbooks
Our Agentic AI in Law and Finance textbook covers governance frameworks, the GPA model, and ten design questions for agentic systems. The forthcoming The AI-Native Firm extends this to organizational transformation. Our enablement work is grounded in published, peer-reviewed research.
Kelvin Simulator
Our proprietary training tool provides controlled environments for teams to practice prompt engineering, model evaluation, and agentic patterns. No other enablement program offers this.
Both technical and governance
Most firms can do infrastructure or policy, not both. We handle cloud deployment, SOC 2 and HIPAA alignment, acceptable use policies, and ABA Model Rule 1.6 considerations. One partner, complete coverage.
Vendor-neutral by design
We work across AWS, Azure, and GCP. We recommend models based on your requirements, not on our reseller agreements. When the best option changes, we tell you.
20+ years in legal and AI
We have co-founded AI companies, served AmLaw 50 firms, taught at law schools, and published peer-reviewed research. We understand both the technology and the environment it operates in.
Get Started
Ready to Move Past the Pilot Stage?
The Agentic Enablement program starts with a two-week assessment. No long-term commitment required. See where you stand, then decide how far you want to go.
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