Fractional and project engagements

Three ways to bring senior solution architecture and AI-native build leadership in fast.

Each engagement is structured around a clear outcome, a defined scope, and a senior partner accountable end-to-end. No layered agencies. No outsourced middle. No 90-day FTE search.

Typical duration: 6-12 weeks

Architect-on-Demand

Best for: Leaders who have the vision and the team but need senior architecture coverage to lock in the design before the build starts.

Scope

Discovery against business purpose, vision, mission, market, and economics
Technology-agnostic solution architecture across applications, data, integrations, and human workflows
Integrated build plan and the standards the AI Agent build team will execute against
Risk register, ROI projection, and total-cost-of-ownership baseline

Deliverables

Executable architecture document, integrated build plan, decision log, and a shared picture of what the first real version looks like.

Investment

Project fee or weekly retainer; sized to scope.

Typical duration: 3-6 months

Build Sprint

Best for: Leaders who need the first working version of a solution delivered, with senior architecture and AI-native build leadership running point.

Scope

Solution architecture and standards
Direct leadership of the AI Agent build team across whatever languages and tools the work calls for
Integration ownership across the surrounding systems, including APIs, webhooks, and manual handoffs
Validation against ROI and TCO criteria

Deliverables

A working solution your users can stand in front of, plus the operational documentation needed to run, scale, and extend it.

Investment

Monthly retainer or fixed project fee; sized to scope.

Typical duration: 6-12 months

Program Director-in-Residence

Best for: PE-backed mid-market, Series B-C, or established operators launching a multi-workstream AI-native initiative who need senior program leadership embedded for the duration.

Scope

Solution architecture across the integrated landscape
Direction of the AI Agent build team across multiple workstreams
Ownership of the integration points between systems, teams, and the manual processes around them
Standing review against ROI, TCO, and scaling readiness

Deliverables

A coherent integrated solution landscape, on schedule, with the operational discipline to keep compounding output after the engagement ends.

Investment

Monthly retainer; sized to scope and number of workstreams.

Engagement principles

The model is intentionally direct: one senior partner, clear scope, business-first architecture, and delivery measured against ROI and total cost of ownership.

Senior from day one. No junior consultant fronting the work.
Business first, technology second. Requirements are defined technology-agnostically before tool selection.
Owned end-to-end. Every output is reviewed and validated; debugged at the system level when needed.
Measured in ROI against TCO. Not in lines of code, story points, or how impressive the stack looks on a slide.
Remote, US-based. Time-zone-aligned with the team.

Currently accepting one new engagement

See if your work fits.

A short conversation is usually enough to see which engagement structure fits the outcome you need delivered.

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