Fractional and project engagements

Four ways to bring business systems architecture and AI-enabled execution in fast.

Each engagement is structured around a clear business outcome, a defined operating problem, and a senior partner accountable for turning the model into a working system. No layered agencies. No outsourced middle. No ambiguity about who owns the architecture.

Same senior capability, different buyer experience.

Consulting, fractional leadership, and advisory work overlap. The useful distinction is not prestige; it is how deeply I am embedded in the decisions, cadence, and delivery path.

Advisory

You need a senior pattern-reader in the room before the roadmap, vendor choice, architecture, or investment decision hardens.

Consulting / project-shaped

You need a scoped result: architecture, build plan, risk map, or a defined working solution delivered against clear outcomes.

Hybrid

You need both architecture and active build leadership, with AI-native execution moving under senior direction.

Fractional

You need embedded senior capacity over time: leadership rhythm, decision ownership, cross-system coherence, and continuity.

Advisory access

Typical duration: Monthly advisory retainer

Advisor on Call

Best for: Founders, operators, and executives who need senior judgment before they commit budget, scope, team structure, vendors, automations, or build direction.

Scope

  • Structured architecture and decision-review calls
  • Async review of operating problems, build plans, risks, vendor assumptions, automation choices, and integration paths
  • Senior pattern recognition before the expensive decisions harden
  • Clear next-step guidance on whether the work needs advice, operating-model architecture, a build sprint, or embedded program direction

Deliverables

Decision notes, architecture guidance, risk observations, and a practical next-step path for the work in front of you.

Investment

Monthly retainer; sized to access level.

Consulting / project-shaped

Typical duration: 6-12 weeks

Architect-on-Demand

Best for: Leaders who have the outcome and urgency but need the operating model, workflow, data, automation, integration, and first-version plan clarified before the build starts.

Scope

  • Discovery against the operating problem, business outcome, buyer/user journey, market, economics, and constraints
  • Technology-agnostic business systems architecture across workflow, data, applications, automations, integrations, revenue operations, and human handoffs
  • Integrated build plan and the standards the AI-enabled build path will execute against
  • Risk register, ROI projection, and total-cost-of-ownership baseline

Deliverables

Executable operating-model architecture, integrated build plan, decision log, risk map, and a shared picture of the first working version.

Investment

Project fee or weekly retainer; sized to scope.

Architect-on-Demand intake

Best when the immediate need is operating-model architecture, first-version clarity, timeline, and budget shape before the build starts.

What needs to be architected, clarified, or turned into a build plan?

Hybrid project + leadership

Typical duration: 3-6 months

Build Sprint

Best for: Leaders who need a first working system delivered: product, platform, workflow automation, data layer, integrations, UX, reporting, and support path.

Scope

  • Business systems architecture and implementation standards
  • AI-enabled build leadership across the languages, tools, and platforms the system calls for
  • Integration ownership across surrounding systems, including APIs, webhooks, documents, spreadsheets, approvals, 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.

Fractional leadership

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 that has to connect business, workflow, data, automation, and production delivery.

Scope

  • Operating-model and solution architecture across the integrated landscape
  • Direction of AI-enabled execution across multiple workstreams
  • Ownership of the integration points between systems, teams, revenue operations, data, and manual processes
  • 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 operating 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. The operating model is defined before the tool choice hardens.
  • Owned end-to-end. Strategy, workflow, data, automation, UX, integrations, and production support stay connected.
  • 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.