Hunter Jackson
New York City · enterprise AI adoption · customer-facing GTM systems
Strategic AI Adoption Lead · WRITER fit

Hunter Jackson
I turn executive AI strategy into adoption that sticks.

WRITER needs someone who can embed with customers, understand their business objectives, translate use cases into workflows, build champions, and connect platform usage to measurable outcomes. That is the exact intersection of my current work: CEO-level AI strategy, AI-native workflow building, GTM execution, and buyer-ready business storytelling.

AI workflow adoptionenterprise enablementGTM transformationagentic systems
Why WRITER should pick me

I sit between executives, business workflows, AI tooling, and adoption outcomes.

The role is not just customer success; it is activation strategy. WRITER is asking for someone who can understand customer use cases, co-develop AI workflows, run workshops, build champion networks, and prove ROI. My background gives me the commercial judgment, executive communication, and hands-on AI operating experience to do that credibly with enterprise customers.

$25M+
near-term BD pipeline helped originate at Bryan Garnier
134
company CEO pipeline built from market thesis to account list
40+
high-value conference meetings generated through structured outreach
Mapped to WRITER's role

The job asks for four motions. My background maps to all four.

Activation success

Use case discovery → measurable workflow

I start by understanding the business objective, the user workflow, the data reality, and the success metric — then translate that into a concrete operating motion rather than a generic AI pitch.

Custom AI solutions

Hands-on builder, not just advisor

I build with AI tools directly — OpenClaw, Hermes Agent, Claude, ChatGPT, Grok, Gemini, Codex, and local models — so I can scope practical demos, explain tradeoffs, and help customers move from concept to usage.

Workshops & enablement

Executive narrative + operator training

My work requires translating technical and market complexity into CEO-level plans, pitch materials, buyer narratives, and repeatable processes that different stakeholders can understand and act on.

Champion networks

Relationship-led adoption

I have built pipelines through executive outreach, conference meeting programs, CRM discipline, and stakeholder mapping — the same relationship architecture needed to create power users, champions, and internal momentum.

Current role

I work directly with CEOs on AI strategy when a sale is on the table.

In my current role, I speak intimately with founder- and CEO-led businesses about how AI can strengthen their company story before a sale process, buyer conversation, or strategic-investor outreach. That experience matters for WRITER because enterprise AI adoption succeeds when stakeholders can connect new workflows to board-level value: revenue growth, scalability, margin improvement, defensibility, and operational readiness.

CEO AI advisory

From “we should use AI” to a credible strategic plan

I help management teams identify where AI can improve revenue operations, customer workflows, data infrastructure, margin profile, and operational scalability — then turn those ideas into practical initiatives a buyer can understand.

Buyer readiness

Making the business more compelling to buyers

For companies preparing to sell or speak with strategic investors, I help shape AI narratives, roadmap priorities, and value-creation plans that make the company feel more modern, scalable, defensible, and strategically interesting.

Operating system

I already use AI the way adoption teams need customers to use it.

My day-to-day work blends Claude, ChatGPT, Grok, Gemini, Codex, OpenClaw, Hermes Agent, and local models into practical commercial workflows — not side experiments.

hunter@ai-adoption run workflow --input "new market thesis"
→ source companies, enrich accounts, screen owners, verify emails, draft narratives, QA outputs
system returns prioritized GTM motion: accounts, messaging, CRM fields, outreach, exec brief
→ human judgment stays on ICP, strategy, quality, sequencing, and relationship context
How I drive adoption

Exactly the WRITER motion: use case, champion, workshop, usage loop.

WRITER's customers need more than access to AI agents; they need activation programs that make AI-powered work normal inside the organization. My approach is practical: find urgent operator pain, map workflow friction, prototype quickly, prove time-to-value, train users in context, and turn usage data into better enablement.

01

Diagnose workflow pain

Start with the job-to-be-done: where teams lose time, create inconsistent work, duplicate research, or miss opportunities because process and data are fragmented.

02

Translate AI into business outcomes

Frame AI around speed, quality, coverage, repeatability, and risk reduction — not feature lists. Executives need a commercial case; operators need the next action.

03

Build proof through real work

Use prototypes, templates, prompts, data fields, and agent workflows on live use cases so teams experience value before adoption becomes a program.

04

Create feedback loops

Instrument usage, capture objections, improve workflows, and turn successful patterns into enablement assets, customer stories, and repeatable playbooks.

Relevant proof points

Examples that map directly to strategic AI adoption.

AI-native BD automation

Built end-to-end agent workflows

Designed workflows that convert rough sector inputs into sourced companies, enriched owner data, scored targets, verified contacts, outreach drafts, and Excel/CRM-ready outputs with QA gates.

PELS scoring

Made prioritization explainable

Created a 5-dimension, 0–100 account scoring model to turn ambiguous market signals into ranked targets, account narratives, and repeatable outreach logic.

Executive communication

Turned complexity into GTM narratives

Built sector whitepapers, company pitch materials, buyer universes, comparable-company analysis, and leadership-ready briefs that connect market insight to commercial action.

CRM / RevOps discipline

Operationalized the workflow

Designed CRM fields, enrichment logic, pipeline views, and feedback loops so AI-assisted work becomes inspectable, repeatable, and usable by a broader team.

What I would bring to WRITER

A field-ready AI adoption operator for enterprise customers.

I can sit with customer stakeholders and executive sponsors, understand their commercial motion, identify where AI changes the work, and build the connective tissue between WRITER's platform capabilities, enablement, champion communities, and measurable adoption.

Customer discovery

Ask practical workflow questions, uncover blockers, define use cases, and translate executive AI priorities into workflows teams can actually run.

Activation programs

Create office-hours formats, workshops, prompts, templates, demo flows, dashboards, briefs, and operating playbooks that make adoption tangible.

Strategic GTM sense

Connect adoption patterns to account expansion, stakeholder mapping, measurable ROI, executive sponsorship, and repeatable customer-success motions.