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Most consultants stop at the deck. Most agencies just run plays. I cover the whole arc: figure out what's actually worth building, then build it so it lasts and you own it. No vendor kickbacks, no upsell to a tool you don't need.

Five stages, from first read to something you own.

Core engagements

Where most teams start

Most teams start here: a diagnostic on whether you're ready to build, a read on the stack you already have, or a steady build engine once you know what to ship.

Assess

GTM AI Readiness Audit

A straight verdict on whether your stack, data, and process can support your AI initiatives, and what to fix first.

A fixed-scope diagnostic across your systems, data, and process. You walk away with a readiness verdict, the specific gaps, and a prioritized punch list of what to fix before you build anything.

Assess

MarTech Stack Architecture Assessment

The right stack for the outcomes you're after: keep, consolidate, replace, or buy.

A full read on your stack mapped to the outcomes you actually want, with an agent-ready target state and a clear keep/consolidate/replace/buy roadmap.

Build

Implementation Retainer

A standing build engine. Work the backlog, ship it instrumented and documented, you own all of it.

A monthly engine working a prioritized backlog at a steady cadence. Everything ships instrumented, documented, and yours. Cancel anytime.

You can't 10x a process you can't run at 1x.

Supporting services

Built to layer in

Beyond the flagships, there's a deeper menu we pull from once we know what you need.

Plan

Opportunities Punchlist

A prioritized list of quick wins across the stack.

Build

Agentic Build Sprints

Shipped AI-driven workflows in a focused two-week engagement.

Govern

AI Governance & Guardrails

Policies, approval flows, and guardrails so AI adoption does not create new risk.

Additional services

Scoped as needed

Tighter-scoped deliverables that address a specific gap. Standalone or layered into a larger engagement.

Assess

AEO/GEO Audit

Visibility report for answer-engine and generative-engine discoverability.

Build

Data Hygiene Sprint

Clean, deduplicated records and field definitions across core systems.

Plan

Build vs Buy vs Vibe

A defensible decision on each contested tool or capability in the stack.

Own

Enablement & Knowledge Transfer

Your team can maintain and extend the systems without external help.

Plan

Vendor-Selection/Hiring Advisory

A scored shortlist and hiring profile so the next decision is straightforward.

Assess

Readiness Workshop

A half-day session that aligns the team on AI readiness gaps and next steps.

How it works

Diagnose, plan, build, own.

Start with a tight, scoped first project. Expand from there as the work earns it.

  • Diagnose Map the current stack. Find what is actually broken and what is just noisy.
  • Plan Agree on the sequence and what each fix is worth before any work starts.
  • Build Ship working systems, not slide decks. Output you can hand to your team.
  • Own Run it yourself, or expand. Land-and-expand from any completed engagement.

Engagement model

  • Fixed-scope engagements A clear deliverable agreed up front. You know the shape of the work before we start.
  • Land and expand Start small, earn the next project by shipping this one.
  • Fully remote, async-first Output over face time. Timezone-friendly by design.
  • No vendor lock-in Recommendations are based on your stack, not on what earns a referral fee.

Start with a readiness audit.

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