Service · 01
AI Consulting
Strategy, governance, and workforce readiness, led by a former Chief AI Officer who still writes code. We help you decide what to build, prove it's safe, and get your team ready to run it.
01 — AI Strategy
Find where AI creates real value, then put senior leadership behind it.
Strategy Sprint
An intensive working engagement that produces an AI roadmap tied to your business goals: priority use cases, build-vs-buy calls, and a sequenced plan you can fund.
Fractional Chief AI Officer
Part-time executive AI leadership from a former Chief AI Officer — vendor evaluation, architecture decisions, board reporting, and team building without a full-time hire.
AI Readiness Assessment
A comprehensive evaluation of your data, infrastructure, skills, and processes — with a gap analysis and a prioritized remediation plan.
Board & Executive AI Education
Tailored board-level briefings on AI opportunity, risk, and governance obligations — so leadership can make informed decisions, not delegated ones.
02 — Technical & Platform Advisory
Independent analysis of what you have, what's missing, and what to do about it.
Technology & Platform Analysis
Independent assessment of your current stack, platforms, and vendor AI claims — what's working, what's redundant, and where AI genuinely fits.
Gap Analysis, Audits & Recommendations
Systematic review of your data, architecture, and processes against where you want to be — delivered as a prioritized, costed remediation roadmap.
Acquisition & Capture Consultation
For government contractors: opportunity qualification, competitive landscape analysis, and AI-assisted capture strategy — backed by our ContractsHub and CaptureIQ platforms.
03 — AI Governance & Compliance
Use AI confidently in regulated environments, with evidence to show for it.
Governance Framework
Risk profiles, performance metrics, and documentation governance aligned to NIST AI RMF, OMB M-25-21, and the EU AI Act — built as working process, not shelfware.
Policy Suite Development
A complete AI policy set: principles, bias and fairness, data governance, model lifecycle, and incident response — calibrated to your industry and risk appetite.
AI Risk Assessment
Systematic assessment of operational, compliance, reputational, and strategic AI risk across your portfolio of models and vendors.
Responsible AI Audit
Fairness testing, bias detection, and transparency review of deployed systems — with audit-ready findings and remediation guidance.
04 — AI Literacy & Training
Three levels for every role, with audit-grade completion evidence.
Level 1 — Awareness
Executive briefing: what AI can and can't do, where the risk lives, and how to evaluate what your teams and vendors propose.
Level 2 — Working Proficiency
For managers and individual contributors: hands-on prompting, tool selection, data handling rules, and judgment for daily AI-assisted work.
Level 3 — Building Capability
For technical staff: RAG fundamentals, evaluation, agent patterns, and shipping AI features safely inside your stack.
05 — Change Management
Adoption is a people problem before it's a technology problem.
AI Adoption Readiness
Organizational readiness assessment: where resistance will come from, which teams to start with, and what support structures you need.
AI Champions Program
Build an internal network of AI advocates who carry adoption forward after we leave.
Stakeholder Engagement & Transformation Roadmap
Executive alignment, cross-functional communication, and a phased transformation plan with KPIs leadership can track.
How we engage
Pick the model that fits.
Advisory Retainer
Ongoing strategic guidance with flexible scheduling.
Project-Based
Fixed scope, fixed timeline, fixed price.
Build & Transfer
We build it, your team runs it — knowledge transfer included.
Training & LMS
Structured training programs with completion evidence.
Not sure where to start?
A free 30-minute strategy call is usually enough to tell whether a sprint, an assessment, or fractional leadership fits — or whether you should skip straight to a build.