AI Strategy, Readiness & Governance

AI Opportunity Discovery & Use-Case Prioritization

Facilitated workshops that surface the highest-ROI AI use cases across your business and rank them by impact and feasibility.

AI Maturity & Readiness Assessment

A structured audit of your data, infrastructure, talent, and process readiness for AI adoption, with a scored gap report.

AI Adoption Roadmap & Phased Rollout Planning

A sequenced, budget-aware plan for rolling out AI capability across teams without disrupting existing operations.

Build vs. Buy vs. Partner Evaluation

Independent analysis of whether to build custom AI, buy a platform, or partner, based on total cost and strategic fit.

LLM & Foundation Model Selection

Side-by-side evaluation of OpenAI, Anthropic, Google, and open-weight models against your accuracy, cost, and compliance requirements.

AI Business Case & ROI/TCO Modeling

Board-ready financial modeling that quantifies the expected return and total cost of a proposed AI initiative.

Executive AI-Literacy Briefings

Plain-language briefings that bring leadership and boards up to speed on what AI can and can't do for the business.

Proof-of-Concept Scoping & Rapid Prototyping Sprints

Time-boxed sprints that turn a promising AI idea into a working, demonstrable prototype before a full build commitment.

Responsible AI & Governance Framework Design

Bias, explainability, and transparency frameworks aligned to ISO/IEC 42001, the NIST AI RMF, and the EU AI Act.

AI Risk Assessment & Model Risk Management

Structured risk registers and model-risk governance for AI systems making consequential decisions.

AI Center of Excellence Setup

Stands up the internal structure, champions, and playbooks that let an organization keep adopting AI after the initial engagement ends.

AI/LLM Security Red-Teaming

Adversarial testing of deployed models and agents for prompt-injection, jailbreak, and data-exfiltration vulnerabilities.