Claude Consulting &
AI Agent Consulting

What's included

• Executive AI for board-level understanding of Claude opportunity and risk.
• AI for Managers with practical KPI-led adoption playbooks.
• AI for Leaders covering governance, policy and organizational change.
• Prompt Engineering from first principles to repeatable production patterns.
• Business & Productivity AI for sales, ops, HR, finance and marketing teams.
• Developer AI on Claude APIs, tool use, RAG and agent workflows.

Outcomes

• Baseline Claude literacy across the organization
• Role-specific prompt libraries and working playbooks
• Executive alignment on the AI roadmap
• Measurable productivity gains within 90 days

Delivery modes

What's included

• Foundation on Claude fundamentals, prompting and safe use.
• Practitioner programs for research, writing, analysis and coding assistance.
• Advanced tracks on tool use, agents, evaluations, cost and quality.
• Enterprise modules on architecture, integration and deployment.
• Partner Enablement for teams building AI delivery capability.
• Bootcamps with labs, capstones and intensive applied learning.

Outcomes

• Credentialed pipeline of Claude-fluent employees
• Consistent quality across teams and geographies
• Faster onboarding into AI-heavy roles
• Capstone projects that prove practical readiness

Delivery modes

What's included

• AI Strategy grounded in your P&L, operating model and stack.
• Use Case Discovery workshops to prioritize high-ROI Claude use cases.
• Transformation Roadmap with milestones, capabilities and investment logic.
• Governance covering policies, guardrails, risk review and approvals.
• AI Adoption programs that move Claude from pilot to habit.
• Process Automation to redesign workflows around AI-first execution.

Outcomes

• Prioritized use case portfolio with ROI estimates
• Board-ready AI strategy and governance
• Adoption plans backed by change management
• A clear next 90-day execution plan

Delivery modes

What's included

• AI Agents with tools, memory and human-in-the-loop controls.
• Internal Assistants that answer, summarize and act on company data.
• Customer Support Bots with high-CSAT escalation paths.
• Knowledge Systems / RAG grounded in policies, docs and contracts.
• LLM Applications for revenue, operations and analytics workflows.
• Enterprise Integrations spanning SSO, RBAC, audit and stack connectivity.

Outcomes

• Working AI product in weeks, not quarters
• Guardrails, evaluations and observability from day one
• Cost and quality tuned for enterprise scale
• Internal team enabled to own and extend the system

Delivery modes

What's included

• Digital Transformation programs across technology and operating model.
• Cloud Architecture with AWS-native reference patterns for AI-first platforms.
• Modernization of legacy applications so they can expose trusted data.
• Integration via API, event and iPaaS patterns that keep systems in sync.
• Technology Strategy aligned to multi-year AI ambition and delivery capacity.

Outcomes

• Reference architecture that scales past pilot stage
• Data foundations ready for RAG and agents
• Security and compliance designed into the platform
• Roadmap for retiring legacy debt

Delivery modes