Setting the standard for human-AI business excellence.
We deliver structured AI strategy components — not advisory opinions — so your leadership team can decide faster, implement confidently, and govern safely. Built by AI practitioners who have been inside the systems, not outside them.
Most organizations are not failing at AI. They are failing at AI strategy.
AI hype overload
Boards cannot distinguish signal from noise. Decisions are made on vendor marketing, not evidence. The result is budget spent on tools before the strategy exists to use them.
No structured adoption path
Companies jump to tools before establishing principles, governance, or capability. Pilots stall. ROI never materializes. Engineers build what leadership cannot govern.
Legacy advisory is not built for this
McKinsey, Deloitte, and Accenture add AI practices on top of traditional advisory. Still slow. Still expensive. Still producing reports — not deployable strategy components.
From a 30-minute diagnostic to a full AI department build
AI Strategy Diagnostic
A structured 30-minute conversation that surfaces your single most urgent AI governance gap. Five targeted questions. One named finding. The clearest 30 minutes your leadership team has spent on AI.
AI Strategy Foundation
Department blueprint, governance charter, AI principles policy, and risk register. Everything your first AI department or CAIO needs to operate with confidence from day one.
- Starter Solo CAIO / startup · 6 weeks
- Standard Department-level · 10 weeks
- Enterprise Multi-BU · 12 weeks
Pillar Adoption Frameworks
Implementation-ready workbooks for Marketing, Business Development, HR, Compliance, CRM, and more. Self-serve license or facilitated delivery. Each includes role templates, workflow diagrams, and a success scorecard.
IIIBC Digest
A bi-weekly intelligence briefing written as an internal memo for Chief AI Officers — not a newsletter. Signal vs. noise, regulatory watch, and one decision your leadership should make this week.
Less than one hour of your CAIO's time per week.
Embedded Advisory
Fractional CAIO or AI Strategy Director embedded 2–4 days per month. Guide your team, validate vendor selections, and represent AI strategy in board discussions — without the full-time hire.
CAIO Onboarding Kit
Everything a new Chief AI Officer needs in the first 90 days. Stakeholder map, mandate canvas, AI principles starter, governance RACI, board templates, and a 90-day scorecard. Deployable from day one.
Two segments. One standard of excellence.
Technology-Driven Businesses
Technology-driven companies at $10M–$100M revenue (Series B–D or equivalent stage) — SaaS, fintech, healthtech, legaltech, marketplaces, and AI-enabled platforms where AI tools have been adopted bottom-up, boards are demanding an AI ROI story, and no governance framework exists yet. Technical leadership responds to practitioner credibility, not consulting decks.
Non-Profits, Advocacy Groups & Trade Associations
Non-profits, foundations, advocacy organizations, trade associations, lobbying firms, and think tanks where unmanaged ChatGPT use creates existential compliance risk — including donor confidentiality breaches, member-data exposure, regulatory disclosure failures (LDA, FARA, FEC, IRS 501(c) where applicable), and integrity gaps in published research or testimony.
Does your organization have a written policy on what staff can and cannot enter into ChatGPT? If not, the Diagnostic is the most important 30 minutes you are not having. No pitch. No proposal. One named gap and one specific action to address it.
Built differently from the start
Legacy consultancies add AI on top of traditional advisory. IIIBC was built from the practitioner layer up — by someone who has deployed AI systems in production, not studied them from a boardroom.
| Dimension | Legacy Consultancies | IIIBC |
|---|---|---|
| Specialty | Generalist; AI is a new practice added to existing lines | AI-native; built from first principles of AI adoption |
| Output | Strategy reports, presentations, recommendations | Deployable frameworks, decision kits, operating models |
| Speed | 6–18 month engagements | Modular 4–12 week sprints with tangible deliverables |
| Engagement model | Single, multi-month retainer — gated behind enterprise procurement | Tiered model from complimentary diagnostic to retainer — mid-market accessible |
| Stance | Vendor-neutral (sometimes vendor-captured) | Human-AI collaboration first; risk-aware; opinionated |
| Continuity | One-time engagement | Continuous Intelligence Subscription keeps you current |
| Talent | Traditional consultants reskilling into AI | AI practitioners who translate to business strategy |
| Risk coverage | Often bolt-on compliance review | Risk, safety, and bias embedded in every framework |
Be one of our first three named clients. Reserved founding-client terms.
In exchange: a named case study and a quotable outcome we can publish. We are looking for one technology-driven business, one non-profit or advocacy organization, and one trade association. Apply by 30 June 2026.
Apply as founding clientThe briefing your CAIO actually needs
Written as an internal memo — not a newsletter. Signal vs. noise. Regulatory watch. One decision your leadership should make this week. Delivered bi-weekly. So useful that cancellation feels like losing a team member.
FOR: Chief AI Officers & AI Strategy Leaders
The FTC issued guidance clarifying that generative AI use in marketing or product recommendations requires explicit disclosure — and enforcement actions are accelerating. If your team uses LLMs to generate customer emails, write ad copy, or power recommendation engines, you need documented AI disclosures or face regulatory action. This is no longer advisory; it is enforcement.
"Every large language model is now multimodal and capable of reasoning." This week's LLM benchmark releases conflate capability with reliability. High benchmark scores on synthetic tasks do not predict production performance against edge cases, adversarial inputs, or drift over time. The gap between benchmark and reality remains a 12-18 month maturity lag.
Map all customer-facing AI touchpoints (recommendations, content generation, summarization, search) and document what disclosure language your marketing and product teams are using. Prepare for a potential FTC audit. This is a 3-hour exercise that prevents a 6-figure compliance fine.
"The FTC is enforcing AI disclosure requirements in marketing — our legal and product teams need to audit all customer-facing AI touchpoints this month."
AI Training for Your Organization
Structured, comprehensive training modules designed for technology teams and non-profit organizations. Self-paced learning with hands-on frameworks.
For Technology Teams
Governance models, risk registers, ROI measurement, and technical decision-making.
For Non-Profits & Advocacy
LDA/FARA compliance, donor confidentiality, data governance, and ethical AI use.
Executive Resources
Boardroom-ready summaries, regulatory analysis, and strategic briefings.
Understand Your AI Readiness
Comprehensive assessments that measure your organization's AI readiness across governance, data, talent, and technology dimensions.
Enterprise AI Readiness Assessment
For technology-driven businesses, SaaS, fintech, healthtech, and other enterprise organizations.
Covers: Leadership alignment, data maturity, governance readiness, risk infrastructure, technical capability, culture and change management.
Non-Profit AI Readiness Assessment
Specialized for non-profits, advocacy organizations, trade associations, and mission-driven organizations.
Covers: Compliance risk (LDA, FARA, 501(c)), donor/member confidentiality, data governance, AI policy gaps, regulatory exposure.
Get Your AI Readiness Score
Both assessments provide a readiness profile: Unaware, Exploring, Developing, Capable, or Leading.
Output: Named gaps, priority recommendations, and a clear roadmap for improvement.
Not sure which assessment is right for you?
Start with a free 30-minute AI Strategy Diagnostic to identify your organization's highest-impact AI gap.
Five questions.
One named gap.
Thirty minutes.
Not a pitch. Not a discovery call. A structured 30-minute conversation that exposes the most common structural failure modes in AI strategy — and leaves you with one specific, actionable finding.
- 01What AI tools are currently in use across your organization — and who approved them?
- 02When an AI system produces a wrong output, what is your escalation path?
- 03Has your leadership defined what AI is not allowed to decide without human review?
- 04Can you name the one AI initiative in the next 12 months that would most change your competitive position?
- 05Who owns AI strategy accountability in your organization today?
- 1Pick a 30-minute slot. Direct calendar — no back-and-forth.
- 2We run the five questions. Structured, not a sales call.
- 3You leave with one named gap. And one specific next action.
No obligation. No proposal sent unless you ask for one.