Hire an AI Consultant · Miami, FL

Hire an AI consultant in Miami.

Miami companies at $20–100M revenue face a specific AI advisory gap. Accenture and McKinsey AI strategy engagements start at $500k. Hiring a full-time AI strategy lead costs $180–250k per year before benefits. But the decisions are real: which AI use cases to pursue, whether to build or buy, which vendor to choose before signing a multi-year contract.

A fixed-scope independent AI consulting engagement produces: a ranked use case analysis, a build vs. buy recommendation for the top 3 use cases, and a 90-day action plan. That is a fraction of the cost of one bad vendor decision.

Miami's bilingual market adds a dimension most consultants miss. AI tools for Spanish-language customer interactions require different evaluation criteria. Latin American-focused companies here have cross-border data considerations that generic AI consultants don't know to ask about.

Fixed scope, fixed price, agreed before any work is invoiced.

How we work

Tell us about your AI decision.

What a fixed-scope engagement produces.

Four written deliverables. All owned by you at the end of the engagement. Written for a team to act on, not for a boardroom presentation.

Use case inventory

Every AI opportunity identified through stakeholder interviews, organized by business function and scored by expected ROI and implementation complexity.

Build vs. buy recommendation

For each top-3 use case: a cost model for building custom and a cost model for buying. Recommendation with rationale and the assumptions behind it.

Vendor comparison

For any buy use case: 3-4 vendors with evaluation criteria, a proof-of-concept test design against your actual data, and contract risk flags.

90-day action plan

What to do in the first 30, 60, and 90 days. Owners, dependencies, and success metrics. Written for an operations or engineering team.

The bilingual market dimension most consultants miss.

Miami is a Spanish-English bilingual market with a heavily Latin American customer base. AI tools evaluated against English-language benchmarks perform differently in Miami's actual customer environment.

Dialect differences matter in practice

Models trained primarily on Mexican Spanish handle Cuban, Colombian, and Venezuelan Spanish dialects with lower accuracy on intent classification and entity extraction. A tool scoring 90% on a generic Spanish NLP benchmark may score 65-72% on a Miami-specific customer corpus. We test against a sample of your actual customer interactions before recommending any Spanish-language AI tool.

Code-switching is common

Miami customers frequently switch between English and Spanish mid-conversation. Most AI customer interaction tools handle pure Spanish or pure English adequately. Code-switched conversations expose model weaknesses that standard benchmarks don't reveal. We test for this specifically.

Latin American data regulations affect tool selection

Companies like BankUnited and Stonegate Bank with Colombian or Brazilian clients have cross-border data considerations. Brazil's LGPD restricts where Brazilian customer data can be processed. A US-based AI tool processing that data may be out of compliance without a data transfer mechanism. We map data flows against the specific countries in your customer base.

Vendor contracts need to reflect where data is processed

Most AI vendor contracts don't specify inference server location by default. For a Miami company with Latin American customers, knowing whether data is processed in the US, the EU, or a Latin American region has compliance implications. We require that answer before finalizing any vendor recommendation.

How we work with Miami clients.

Scope calibrated to your company size

A $30M company and a $150M company have different AI advisory needs. We scope the engagement to the decisions you actually face. No deliverables you don't need, no scope so narrow it doesn't answer the question.

Fixed price before work starts

Discovery call, written scope, fixed price before any work is invoiced. Scope changes require a written change order. For a company managing budget carefully, there are no surprise costs at engagement end.

Two-week start available

We can start within two weeks of a signed agreement. Useful when a vendor contract renewal is approaching or a board meeting has set a deadline for an AI strategy decision.

Questions we get from Miami clients.

What does a use case prioritization analysis actually deliver -- what format and how long does it take?: The deliverable is a written document, typically 12-18 pages, covering four things. First, the use case inventory: every AI opportunity identified through stakeholder interviews, organized by business function. For a $50M Miami company, that typically produces 15-25 candidate use cases. Second, the scoring matrix: each use case scored against four criteria with a visible methodology -- expected ROI, data readiness, implementation complexity, and strategic fit. The scores are not black boxes; you can see why Customer Service Triage scored higher than Internal Knowledge Management. Third, the top-3 recommendation with rationale: why these three, what business problem each solves, and what it would take to validate the ROI estimate with a pilot. Fourth, a 90-day action plan: what to do in the first 30, 60, and 90 days, with owners and success metrics. Timeline is 2-3 weeks from kickoff to first draft, 3-4 weeks to final delivery including one round of revisions.
How do you evaluate AI tools designed for Spanish-language customer interactions -- what test suite do you use?: We build a test suite specific to the company's actual customer interactions. That starts with a corpus of 200-400 real customer messages, calls, or chat transcripts in Spanish, drawn from the company's existing support or sales records. We test each candidate tool against that corpus, not against the vendor's benchmark data. The evaluation dimensions: accuracy of intent classification across Miami's specific Spanish dialects (Cuban Spanish, Colombian Spanish, and Venezuelan Spanish have distinct vocabulary and idiom patterns that models trained primarily on Mexican Spanish handle poorly), response appropriateness in a business context, ability to handle code-switching between English and Spanish mid-conversation, and escalation behavior when the tool is uncertain. Tools that score 90% on a generic Spanish NLP benchmark often score 65-72% on a Miami-specific corpus. That gap matters before you deploy a customer-facing tool.
For Miami companies with Latin American operations, what cross-border data regulations affect AI tool selection?: The regulations that matter depend on which countries are involved. Brazil's LGPD (Lei Geral de Proteção de Dados) is the most mature and closely mirrors GDPR -- it has data transfer restrictions that affect whether you can send Brazilian customer data to a US-based AI tool for processing without a data transfer mechanism. Colombia's Ley 1581 has similar provisions. Argentina has PDPA compliance requirements. The practical implication for a Miami financial services firm with Colombian or Brazilian clients: you need to know where the AI vendor's inference infrastructure runs. A tool whose servers are in the US may be processing data governed by Brazilian LGPD without adequate transfer mechanisms in place. This is not a hypothetical risk. Several Miami companies using US-based AI tools for Latin American customer data are currently out of compliance with LGPD. We map the data flows for each AI tool against the specific countries in your customer base before recommending any vendor.
What is the minimum viable AI strategy engagement -- can we do something useful in 2 weeks?: Yes, with a narrow scope. A two-week engagement works for one well-defined question: should we build or buy for this specific use case, or which of these three vendors should we choose. The deliverable is a written recommendation with the analysis behind it -- typically 6-8 pages. It covers the use case definition, the build vs. buy cost model, and a ranked vendor comparison if you are in a buy scenario. What a two-week engagement does not cover: stakeholder interviews with multiple departments, a full use case inventory, or a 90-day implementation roadmap. Those require 4-6 weeks. The minimum viable engagement is useful when you have a specific decision to make and need independent analysis before a deadline -- a vendor contract renewal, a board meeting, or a budget cycle. Tell us what the decision is and we will tell you whether the scope fits two weeks.

Get a scoped AI recommendation before your next vendor decision.

Describe the AI decision you're facing -- tool selection, build vs. buy, use case prioritization, or bilingual tool evaluation. We reply within one business day with a rough scope and price. No commitment required.

Hire an AI consultant in Miami.

Fixed scope, fixed price, agreed before any work is invoiced.

What a fixed-scope engagement produces.

Four written deliverables. All owned by you at the end of the engagement. Written for a team to act on, not for a boardroom presentation.

Use case inventory

Every AI opportunity identified through stakeholder interviews, organized by business function and scored by expected ROI and implementation complexity.

Build vs. buy recommendation

For each top-3 use case: a cost model for building custom and a cost model for buying. Recommendation with rationale and the assumptions behind it.

Vendor comparison

For any buy use case: 3-4 vendors with evaluation criteria, a proof-of-concept test design against your actual data, and contract risk flags.

90-day action plan

What to do in the first 30, 60, and 90 days. Owners, dependencies, and success metrics. Written for an operations or engineering team.

The bilingual market dimension most consultants miss.

Dialect differences matter in practice

Code-switching is common

Latin American data regulations affect tool selection

Vendor contracts need to reflect where data is processed

How we work with Miami clients.

Scope calibrated to your company size

Fixed price before work starts

Two-week start available

We can start within two weeks of a signed agreement. Useful when a vendor contract renewal is approaching or a board meeting has set a deadline for an AI strategy decision.

Questions we get from Miami clients.

What does a use case prioritization analysis actually deliver -- what format and how long does it take?

The deliverable is a written document, typically 12-18 pages, covering four things. First, the use case inventory: every AI opportunity identified through stakeholder interviews, organized by business function. For a $50M Miami company, that typically produces 15-25 candidate use cases. Second, the scoring matrix: each use case scored against four criteria with a visible methodology -- expected ROI, data readiness, implementation complexity, and strategic fit. The scores are not black boxes; you can see why Customer Service Triage scored higher than Internal Knowledge Management. Third, the top-3 recommendation with rationale: why these three, what business problem each solves, and what it would take to validate the ROI estimate with a pilot. Fourth, a 90-day action plan: what to do in the first 30, 60, and 90 days, with owners and success metrics. Timeline is 2-3 weeks from kickoff to first draft, 3-4 weeks to final delivery including one round of revisions.

How do you evaluate AI tools designed for Spanish-language customer interactions -- what test suite do you use?

We build a test suite specific to the company's actual customer interactions. That starts with a corpus of 200-400 real customer messages, calls, or chat transcripts in Spanish, drawn from the company's existing support or sales records. We test each candidate tool against that corpus, not against the vendor's benchmark data. The evaluation dimensions: accuracy of intent classification across Miami's specific Spanish dialects (Cuban Spanish, Colombian Spanish, and Venezuelan Spanish have distinct vocabulary and idiom patterns that models trained primarily on Mexican Spanish handle poorly), response appropriateness in a business context, ability to handle code-switching between English and Spanish mid-conversation, and escalation behavior when the tool is uncertain. Tools that score 90% on a generic Spanish NLP benchmark often score 65-72% on a Miami-specific corpus. That gap matters before you deploy a customer-facing tool.

For Miami companies with Latin American operations, what cross-border data regulations affect AI tool selection?

The regulations that matter depend on which countries are involved. Brazil's LGPD (Lei Geral de Proteção de Dados) is the most mature and closely mirrors GDPR -- it has data transfer restrictions that affect whether you can send Brazilian customer data to a US-based AI tool for processing without a data transfer mechanism. Colombia's Ley 1581 has similar provisions. Argentina has PDPA compliance requirements. The practical implication for a Miami financial services firm with Colombian or Brazilian clients: you need to know where the AI vendor's inference infrastructure runs. A tool whose servers are in the US may be processing data governed by Brazilian LGPD without adequate transfer mechanisms in place. This is not a hypothetical risk. Several Miami companies using US-based AI tools for Latin American customer data are currently out of compliance with LGPD. We map the data flows for each AI tool against the specific countries in your customer base before recommending any vendor.

What is the minimum viable AI strategy engagement -- can we do something useful in 2 weeks?

Yes, with a narrow scope. A two-week engagement works for one well-defined question: should we build or buy for this specific use case, or which of these three vendors should we choose. The deliverable is a written recommendation with the analysis behind it -- typically 6-8 pages. It covers the use case definition, the build vs. buy cost model, and a ranked vendor comparison if you are in a buy scenario. What a two-week engagement does not cover: stakeholder interviews with multiple departments, a full use case inventory, or a 90-day implementation roadmap. Those require 4-6 weeks. The minimum viable engagement is useful when you have a specific decision to make and need independent analysis before a deadline -- a vendor contract renewal, a board meeting, or a budget cycle. Tell us what the decision is and we will tell you whether the scope fits two weeks.

Get a scoped AI recommendation before your next vendor decision.