Lower outbound volume
Replaced broad sends with signal-based account targeting. Connected targeting to seller follow-through.
Enterprise AI Strategy + AI-Native GTM
Hawksmoor helps leadership teams build and execute enterprise AI and AI-native go-to-market strategies that preserve customer context and strengthen human judgment.
Verified client outcomes
Built and scaled growth engines at
Enterprise operating experience
Prior leadership results of Lara Shackelford, CEO. Employer identities and identifying implementation details are withheld.
Microsoft global program result
4.5×Microsoft reported conversion rising from 4% to 18% with AI qualification in April 2019.
Lara led the Americas Global Demand Center from 2018 to 2020.
Microsoft IT Showcase, April 2019 (archived PDF)What Hawksmoor delivers
Hawksmoor helps leadership teams turn customer context into strategies their organizations can execute.
Hawksmoor helps leaders decide where AI creates defensible value and what organizational capabilities must change.
Explore Enterprise AI Strategy ↗Hawksmoor connects customer context across marketing, sales, customer success, and revenue systems.
Explore AI-Native GTM ↗Hawksmoor designs the strategy and leads the build through delivery.
How to work with Hawksmoor
Choose a focused working session, an evidence-led Audit, or a scoped partnership.
Investigate the evidence
A GTM Audit traces the customer and revenue signals behind one consequential decision.
GTM Audit · typically four weeks · starting at $15,000
Discuss a GTM Audit ↗Work with Hawksmoor
Scope the strategy, technical delivery, and adoption around a funded business priority.
AI-Native GTM Partnership · custom scope
Discuss a partnership ↗Need an answer now?
Bring one consequential decision. Work directly with Lara for $750 and leave with a recommendation and written next steps.
Where customer context breaks
Your customer signal is the meaning, context, and history your organization carries across every system and interaction.
Teams use different definitions for the same customer behavior. AI inherits the contradiction and turns disagreement into output.
Context disappears during handoffs between functions and systems. The next team receives activity without the history that made it meaningful.
AI acts on stale or incomplete customer information. The system moves quickly while human judgment starts from weak context.
The methodology
Hawksmoor preserves meaning, context, and lineage as customer information moves across teams and technology. The method supports the strategy without becoming the whole story.
See the methodology ↗Proof of outcomes

We implemented the first two recommendations that same week. Site sessions jumped 38%. AI visibility hit 45%. We logged our second-highest traffic day from ChatGPT within days. That was before we touched the rest of the 180-day roadmap.
AEO/GEO Audit · Physical AI GTM Architecture

Hawksmoor showed us how Docgility appeared across AI search and where our go-to-market signals were losing strength. The work turned fragmented customer and market signals into clear priorities we could act on.
ICP Targeting · AI-Native Positioning

Hawksmoor didn't hand me advice. They built me a full operating system for my business in Claude. Right after, I put it to work on a live prospect and moved him to the next step in an afternoon, not weeks. This is what changes how you run a business. What Hawksmoor is building works.
Claude Operating System · Executive Workflow
Lara did her homework before our very first conversation and came in with real intent. I came away with tangible strategies, and market data points / validation I was looking for to navigate AI in an area of genuine uncertainty. She was thoughtful, clearly invested, and cared about my outcome even though we'd just met. Highly recommend.
Enterprise AI Strategy · Growth Strategy

Community
A working community where women bring real enterprise AI questions, compare methods, and help one another move the work forward.
Start a conversation
Tell Hawksmoor where AI, customer context, or revenue decisions are getting stuck. We will identify the smallest useful next step.