Three paths. One discipline.
The right path depends on where the company has capability and where the operating layer gap actually is. The diagnostic conversation at the start of every engagement identifies which path fits. All three paths share the same operating discipline. We diagnose, install operating systems, measure weekly, and transfer ownership.
Fractional Chief AI Officer.
Who this fits. Companies that need cross-functional AI ownership at the executive level but are not ready to hire a full-time Chief AI Officer. Typically founder-led companies between 20 and 500 employees, post product-market fit, under board or investor pressure to show AI ROI within two to four quarters.
What we own. The full operating layer. Visibility infrastructure, workflow embed, governance and adoption, and the transfer to an internal owner. We serve as the named AI operating executive on the leadership team for the duration of the engagement, with a seat at executive reviews and direct accountability for AI outcomes.
What is included. Diagnosis of the operating layer gap. Installation of the See, Move, Embed, Hold framework. Use case identification and prioritization. Workforce training and adoption infrastructure. Platform implementation oversight, including joint delivery with IgniteIQ where the engagement requires it. Governance and security architecture. Internal owner identification and transfer.
Engagement structure. Quarterly cadence with weekly executive reviews. Engagements are designed to be finite. The transfer plan is agreed at the start, not at the end.
Illustrative 90-day arc. Visibility infrastructure live within the first 30 days. Two priority workflows in pilot with target reliability thresholds by day 60. Governance and internal ownership in place by day 90 with a roll-forward plan agreed. These are illustrative, not commitments. Actual pace depends on company readiness.
AI Workforce Enablement.
Who this fits. Companies that have operating layer leadership in place but need the workforce capability built underneath it. Typically the CEO, CTO, or COO is personally leading the AI initiative and needs a partner to build the workforce layer rather than the leadership layer.
What we own. The workforce capability and adoption layer. Use case identification by function, training and certification pathways, adoption measurement infrastructure, and change management. We do not own the executive-level operating decisions in this path. The internal C-level sponsor does.
What is included. Use case discovery across functions, prioritized by P&L impact and time to value. Role-based training programs with hands-on practice, prompt-writing workshops, and supervisor certification. Adoption measurement infrastructure including dashboards and weekly reporting. Change management design including communication plans, champion network setup, and resistance pattern mitigation.
Engagement structure. Project-based with a defined scope and timeline. Most engagements run between 60 and 120 days depending on the number of functions in scope.
Agentic AI Build and Operate.
Joint with our partner IgniteIQ.
Who this fits. Companies that have AI strategy and operating layer leadership in place and need the platform build executed properly. The internal team is capable of operating the layer but lacks the engineering depth or agentic AI specialization to deliver the build.
What we own. The build phase of an agentic AI deployment, delivered jointly with our partner IgniteIQ. Architecture, security and governance design, integration with existing systems, and the crawl-walk-run scaling sequence. Build phase is scoped against a defined business outcome with explicit success thresholds.
What is included. Solution architecture aligned to the client's existing systems and security requirements. Security and governance design following NIST framework structure. Integration design including Model Context Protocol where applicable. Phased build with sandboxing in the crawl phase, human-in-the-loop oversight in the walk phase, and full agentic operation in the run phase only when reliability thresholds are met. Documentation and handoff materials.
Decision point at end of build. Most clients take the platform in-house and run it themselves. The build phase is designed for this outcome. Documentation, runbooks, and the internal owner transition are all completed during the engagement. Clients who prefer continuity, who lack internal AI operations capability, or whose regulatory environment requires outsourced operations may retain Agentic Consulting and IgniteIQ on a managed service basis. The default is handoff. Managed service is the client's deliberate choice.
Engagement structure. Build phase is project-based with defined milestones and deliverables. Managed service, if elected, runs on a separate ongoing agreement.
Schedule a 30-minute call.
The conversation is a diagnosis. We identify which path fits, or tell you honestly that none of them will. See the Work page for proof points from prior engagements.