How is GIG's advisory different from Accenture, Deloitte, or a big consulting firm?

Three ways. First, we're operators — we run AI inside our own businesses, not just advise on it. Second, we take no reseller kickbacks and have no partnerships that bias recommendations. Third, engagements are 2–4 weeks with flat fees, not 6-month six-figure retainers.

Yes. Every advisory engagement operates under a mutual NDA signed at kickoff. Your business data, stack choices, and strategic decisions stay confidential.

Can you advise without having access to our code or data?

Yes. We can do architecture and stack advisory from public information plus structured interviews. Deeper engagements (where we review actual code or data) require an NDA and optionally a limited-scope engineering review.

What if your recommendation is "don't build AI for this"?

Then that's what we write. Part of our job is telling you when AI is the wrong tool — a simple rule engine, better data entry, or a human process improvement often beats an AI-powered version. We get paid either way.

Do you recommend specific vendors?

We recommend categories first and vendors second, with clear reasoning for each. We take no referral fees or commission — recommendations are based on fit, not commercial relationships.

Can advisory lead into implementation?

Yes, if you want. Many clients start with advisory to get the plan, then engage our Implementation practice to execute. There's no obligation — you can take our decision document to any other vendor.

What data do you need from us?

Minimum viable: business context, current tech stack, budget range, risk tolerance, and access to decision-makers for interviews. Extended engagements may request sample data, existing code, or vendor contracts — all under NDA.

Do you work with regulated industries?

Yes — we've applied AI in lending, finance, and healthcare-adjacent use cases. Advisory engagements in regulated industries typically include explicit compliance analysis (HIPAA, SOC2, GDPR, state-specific rules) as part of the deliverable.

What is Global Innovation Group?

Global Innovation Group (GIG) is an AI advisory, implementation, and education firm based in Southern California. We help individuals, teams, and companies learn, adopt, and deploy AI — including Claude, open-source models, and custom agents — across real workflows.

GIG serves three audiences: curious individuals who want to learn AI, growing teams that want to adopt it across their workflows, and established companies that want full implementation. Our offerings scale from $97 live seminars to enterprise engagements starting at $25,000.

Do I need technical or coding skills to work with GIG?

No. Our Events and Community memberships are designed for non-technical learners. Coaching is tailored to your current skill level. Only our Corporate Advisory engagements involve technical implementation — and even then, we deliver finished systems, not homework.

What is the difference between Events, Community, Coaching, and Advisory?

Events are single-ticket live seminars starting at $97. Community is a monthly membership from $97/month with office hours, playbooks, and peer access. Coaching is one-on-one work tailored to individuals (inquire for pricing). Corporate Advisory is full AI implementation for companies, starting at $25,000 per engagement.

What AI tools and platforms do you deploy?

We deploy Claude (via the Agent SDK), open-source models from Hugging Face (Llama, Mistral, Qwen, DeepSeek, Gemma), inference frameworks (vLLM, Ollama, LangChain, LlamaIndex), and integrate with common business tools like HubSpot, Salesforce, Airtable, Zapier, Slack, Supabase, and Postgres.

What industries does GIG serve?

We specialize in six verticals: real estate, gyms and fitness, lending and finance, healthcare and clinics, legal and professional services, and e-commerce and retail. Each vertical has distinct data surfaces and workflows — we apply AI with that context in mind.

How does the implementation process work?

We follow a four-phase method: Diagnose (two-week workflow and data audit), Design (architecture and stack selection), Deploy (build and wire into production), and Develop (team training and hand-off). Most corporate engagements run 60–120 days.

Is GIG vendor-agnostic or tied to a specific AI provider?

We are vendor-agnostic. We run Claude for production-grade agents, open-source models (Llama, Mistral) for self-hosted workloads, and fine-tune on Hugging Face models when tasks warrant it. We take no reseller kickbacks and recommend based on fit, not commission.

Can small businesses work with GIG, or only enterprises?

Absolutely — small businesses and solo operators are a core audience. Our Events and Community tiers start at $97 and are built specifically for small teams and individuals. Personal Coaching is ideal for founders of small businesses who want tailored implementation guidance.

Where is Global Innovation Group based?

Global Innovation Group LLC is based in Southern California and works with clients nationally. We deliver events and coaching both virtually and in-person, and corporate advisory engagements remotely or on-site depending on client needs.

Who founded Global Innovation Group?

GIG was founded by Francisco Williams, an operator with a decade of experience across capital markets, lending, and commercial real estate. He started deploying Claude and open-source models inside his own operating companies before packaging those playbooks for other operators and learners.

How do I get started with GIG?

Email hello@globalingroup.com with a short note about your goals or the problem you want to solve. We reply within 24 hours with a read on feasibility, a recommended path, and pricing if applicable. No pitch decks — just directional answers.

Service — Advisory

Clarity before code.
Stack before spend.
Vendor-agnostic, always.

AI infrastructure decisions are expensive, irreversible, and — for most operators — opaque. We take the ambiguity out. Hardware, software, architecture. A written recommendation in two weeks. No reseller kickbacks, no agenda beyond getting you the right answer.

Typical engagement

2–4 weeks

Starting at

$5,000

Deliverable

Decision doc

Start a conversation See how it works

What we deliver

Specific deliverables.
No vague outcomes.

Every engagement ends with something you can point at. Code that runs, documents that inform decisions, teams that got better. No fluff, no deck-only deliverables.

Hardware advisory

GPU sizing (H100, A100, MI300), Mac Studio cluster planning, Jetson edge deployments, on-premises vs cloud trade-offs, power and cooling reality checks.

Open-source software advisory

Model selection from Hugging Face — Llama, Mistral, Qwen, DeepSeek, Gemma. Inference stack picks — vLLM, Ollama, LangChain, LlamaIndex. GitHub repos worth using and worth avoiding.

Architecture reviews

Model routing, data pipelines, evaluation harnesses, cost modeling. We review existing systems or design new ones from scratch.

Build vs buy analysis

Structured comparison across cost, time, quality, and control. We take no reseller kickbacks. If the right answer is an off-the-shelf tool, we'll say so.

Written decision document

Every engagement ends with a written deliverable — recommendations, trade-offs, cost models, implementation path. Yours to keep, share, and act on.

Methodology

How we work.
Predictable. Scoped. Priced.

Flat engagement fees starting at $5,000. Scope and price confirmed in writing before we start. No hourly billing surprises.

Phase 01

Intake

1–2 days

Kickoff call plus async questionnaire. We learn your business, current stack, constraints, budget, and risk tolerance. Nothing happens before we have clarity on scope.

Phase 02

Map

3–5 days

We map the option space. Hardware paths, model paths, architecture patterns, vendor options. Every path gets rough cost, time, and risk estimates.

Phase 03

Recommend

3–5 days

We narrow to a recommendation with second and third options clearly explained. Written document, decision matrix, and an in-person (or virtual) review session.

Phase 04

Handoff

1 day

You leave with an implementation-ready spec — so your team, or our Implementation arm, can execute without ambiguity.

Who it's for

You might be one of these.

Persona 01

Operators evaluating AI

Pain

Too many vendors, too many claims, no way to tell what's real.

Outcome

A written answer on exactly what to build, buy, or skip.

Persona 02

Technical founders

Pain

You know AI, but your team doesn't. Need a shared source of truth.

Outcome

A doc you can hand to your team, investors, or board.

Persona 03

CIOs and CTOs

Pain

Internal pressure to "do something with AI" without burning capital.

Outcome

Defensible, cost-bounded plan with vendor-agnostic reasoning.

What you leave with

Measurable outcomes.

We don't sell effort. We sell results. Every engagement is scoped against specific outcomes — and we measure them before and after.

01Clarity on the 2–3 AI initiatives worth pursuing now — and the ones to skip
02Realistic cost model across hardware, software, and labor
03Written architecture recommendation with stack picks
04Risk assessment with mitigation paths
05Implementation-ready spec for internal or external execution

Questions, answered

What you're probably wondering.

Three ways. First, we're operators — we run AI inside our own businesses, not just advise on it. Second, we take no reseller kickbacks and have no partnerships that bias recommendations. Third, engagements are 2–4 weeks with flat fees, not 6-month six-figure retainers.

Start with Advisory

Ready to talk?
We're listening.

Tell us what you're trying to solve. We reply in 24 hours with a read on feasibility and scope. No decks, no slow proposals.

hello@globalingroup.com Back to home

Clarity before code.Stack before spend.Vendor-agnostic, always.

Specific deliverables.No vague outcomes.

Hardware advisory

Open-source software advisory

Architecture reviews

Build vs buy analysis

Written decision document

How we work.Predictable. Scoped. Priced.

Intake

Map

Recommend

Handoff

You might be one of these.

Operators evaluating AI

Technical founders

CIOs and CTOs

Measurable outcomes.

What you're probably wondering.

Ready to talk?We're listening.

Clarity before code.
Stack before spend.
Vendor-agnostic, always.

Specific deliverables.
No vague outcomes.

How we work.
Predictable. Scoped. Priced.

Ready to talk?
We're listening.