Choosing the Best AI Execution Partners With US and LATAM Delivery Teams

AI Execution Partners With US and LATAM Delivery Teams (2026)

A US company building AI runs into the same squeeze. Onshore teams are accountable and close, and they are expensive and hard to staff for AI work. Offshore teams are affordable, and the twelve-hour gap turns every decision into a next-day reply.

A growing number of US companies have settled on a third option: a partner with teams in both the US and Latin America. This guide covers what AI consulting services in the USA actually buy in 2026, why the US-plus-LATAM model fits, the execution partners that run it, and how to choose one. The aim is a partner that carries US accountability and nearshore economics, and owns the result.

Key takeaways

• For a US AI buyer, the decision that shapes cost, speed, and accountability the most is where the delivery team sits, and most rankings never address it.
• The US-plus-LATAM hybrid keeps accountability, contracts, and compliance close while delivering at 40–60% below onshore rates with real-time hours.
• The field runs from staffing and pods to marketplaces to a partner that owns the whole delivery path. They differ in how much of the outcome they carry.
• For US buyers, compliance is easier when a US entity holds the contract and sets the controls, with Latin American teams working inside them.
• Boldr AI is a US-based AI execution partner with Latin American delivery teams, built to own an AI initiative from diagnosis through operation.

What AI consulting services in the USA buy you in 2026

AI consulting services in the USA cover the path from strategy to working systems: use-case selection, data readiness, model or agent development, integration, and ongoing operation. Demand is climbing fast. The AI consulting services market is projected to grow from about $11 billion in 2025 to roughly $91 billion by 2035.

Those services split into two modes: strategy, which is the roadmap and the governance, and implementation, which is the build and the operation. The strongest engagements need both, and for a US buyer the practical question is who will deliver and operate the result.

Most published rankings of AI consulting firms sort them by capability, brand, and headquarters. What they rarely address is the decision that shapes cost, speed, and accountability the most: where the people doing the work actually sit.

For a US buyer, that delivery model is the real variable. It determines how fast blockers get resolved, how compliance and IP are handled, and how much of the budget goes to the actual work.

Why US companies are choosing a US-plus-LATAM hybrid

The hybrid model answers the squeeze directly. A US presence keeps accountability, contracts, and compliance close. Delivery teams in Latin America add cost and time-zone advantages that onshore alone cannot reach — the same forces behind the rise of nearshore implementation partners.

The cost gap is structural. Latin American delivery typically runs 40–60% below US onshore rates, and the senior talent pool for AI, data, and engineering has deepened across the region.

The time-zone overlap is the operational edge. Teams in Latin America work US business hours, so an AI build full of daily decisions and exceptions keeps moving.

Accountability is more than a head office. In practice it means a single US contract, a US point of contact who answers for the work, and Latin American teams whose English fluency and cultural alignment keep collaboration close. For a US buyer, that removes much of the friction that makes offshore delivery feel remote.

Accountability and economics are the table stakes. The real differentiator is whether the partner owns the outcome. Most providers place engineers and leave you to run the result; an execution partner takes the work from diagnosis to a system that runs and gets used.

The trade-offs line up cleanly across the three delivery models.

| Delivery model | Accountability | Cost vs onshore | US-hours overlap | US compliance and IP | |---|---|---|---|---| | Onshore US | Highest | Baseline | Full | Simplest | | Offshore | Distant | Lowest | Minimal | Hardest | | US + LATAM hybrid | US-based | 40–60% lower | Real-time | Held by a US entity |

The hybrid row is why US companies keep landing there. It holds US accountability, nearshore economics, and real-time hours in a single engagement.

AI execution partners with US and LATAM delivery teams

The firms below run delivery teams in both the US and Latin America, the model US buyers increasingly want. They differ most in how much of the outcome they own, from staffing and pods to a partner that runs the whole path.

| Partner | Best for | Model | |---|---|---| | Boldr AI | US companies that want the work delivered, adopted, and operated | Outcome path: diagnose → deploy → operate | | GoGloby | Senior AI engineers embedded under one managed contract | Embedded engineering | | Forte Group | A broad AI services menu across mixed regions | Full-lifecycle services | | HatchWorks | A senior nearshore pod to build a defined product fast | Product pods | | Improving | A consulting-led hybrid team for broad software and AI | Dedicated teams | | Tecla | Sourcing vetted US and LATAM AI talent quickly | Talent marketplace |

Boldr AI

Boldr AI is a US-based AI execution partner with delivery teams in Latin America, built to own an AI initiative from diagnosis through operation. It runs a Value Discovery Sprint to find where AI pays off, redesigns the process, deploys the automation or agents, and operates the result, packaged as a diagnostic, a fixed deployment, and a monthly pod.

Among the firms here, it is the one built to own the whole delivery path, with US accountability and Latin American economics behind it. It stays responsible for whether the workflow runs and gets used, well past the build.

Best for: US companies that want the AI work delivered, adopted, and operated under one accountable partner.

GoGloby

GoGloby is a US-based nearshore AI engineering firm, headquartered in Boston, that embeds senior AI engineers from the US and Latin America into a client's team, repositories, and sprints. One end-to-end contract covers recruiting, payroll, and MLOps support, under SOC 2 and ISO controls.

The model is embedding engineers into your team, so the talent is strong and the roadmap and outcome stay with you. It fits a company that has the plan and the in-house leadership to direct the work.

Best for: companies that want senior AI engineers embedded under one managed contract.

Forte Group

Forte Group is headquartered in Boca Raton, with delivery teams across Latin America and Eastern Europe, covering the full AI lifecycle through structured service lines including strategy, governance, and build. It brings process maturity and a broad services menu.

Two things temper the fit here. Its footprint is partly Eastern Europe, so the nearshore overlap is not uniform, and the model leans toward broad software services.

Best for: companies wanting a broad AI services menu across mixed nearshore and Eastern European delivery.

HatchWorks

HatchWorks builds AI-enabled products using small, senior nearshore pods from Latin America that work in US time zones, blending product ownership with delivery. Its retention is high, and its client list includes large US enterprises.

The pod is a capacity model with product discipline, strong on speed once the direction is set. The roadmap and the call on what to build still rest with you.

Best for: teams that want a senior nearshore pod to build a defined product fast.

Improving

Improving is a Dallas-based consulting and software firm with embedded delivery centers across Latin America, including Mexico, Guatemala, Chile, and Argentina. It positions as consulting-led, with ISO 27001 and SOC 2 and a large nearshore engineering bench.

It is a genuine US-plus-LATAM hybrid, with the catch that its focus is broad software engineering, and AI execution is one part of a wider menu. Engagements lean toward dedicated teams that integrate with your own.

Best for: companies wanting a consulting-led hybrid team for broad software and AI work.

Tecla

Tecla is a nearshore talent marketplace that connects US companies with vetted Latin American developers and AI engineers, marketed as two geographies under one partner. It has a long track record and a multi-stage vetting funnel.

It is a placement layer, so it is a fast way to source senior talent at nearshore rates. Once the match is made, onboarding, management, and the outcome are yours to own.

Best for: sourcing vetted US and LATAM AI talent quickly.

What to look for in a US-plus-LATAM partner

With the field in view, a few questions separate a partner who will deliver from a vendor who will staff.

1. Do they run teams in both geographies? Confirm a real US presence for accountability and genuine Latin American delivery, with the time-zone overlap to match. 2. Do they own the outcome? The partner should take the work from diagnosis through operation, with responsibility for the result. 3. Can they handle US compliance and IP? Look for CCPA and HIPAA experience, IP assignment under US law, SOC 2 or ISO alignment, and clear data-residency handling. 4. Is the overlap real? The Latin American teams should work US business hours, so decisions and exceptions clear the same day. 5. Is the scope productized? A defined diagnostic, deployment, and operating cadence keep spend predictable and the engagement easy to manage.

Cost and compliance for US buyers

AI consulting rates in the US span a wide band. Boutique and specialist firms commonly charge $100–250 an hour, mid-tier firms $150–300, and global consultancies $300–600, with full implementations often running from $200,000 to over $1 million.

A US-plus-LATAM partner lands the delivery work at 40–60% below onshore while keeping a US-based scope and contract. A productized model, a diagnostic, a fixed deployment, and a monthly pod, keeps the spend predictable and tied to a result.

Compliance is where the US presence earns its place. CCPA, HIPAA, IP assignment under US law, and data-residency requirements are simpler to meet when a US entity holds the contract and sets the controls, with the Latin American teams working inside them.

Before signing, US buyers should confirm the specifics. Ask where data is stored and processed, how IP is assigned in the contract, and which security certifications the delivery teams operate under. A partner running the hybrid model well will have clear answers, because the US entity is already accountable for them.

One partner, two geographies, one result

Come back to the squeeze from the start. A US company can have onshore accountability and nearshore economics in the same partner, and that is why the hybrid model keeps winning.

The deciding factor is whether that partner owns the result. Boldr AI runs US and Latin American teams as an execution partner built to own delivery end to end, and a Value Discovery Sprint maps the first workflow worth building and the metric it can move in 90 days.