AI agent development services that run real workflows

AI agent development services that run real workflows

Custom AI agents that plan, decide, and act across your systems, built and governed by senior nearshore engineers in your time zone.

Microsoft
Panasonic
Toyota
Applebee's
KPMG
  • 15+
    years delivering software
  • 100+
    senior engineers across LATAM
  • 6-8h
    daily overlap with US teams
  • 6+
    Fortune 500 & global brands trust us
Who We Are

Senior engineers who build agents that take action

FusionHit builds AI agents that use your tools and data to complete multi-step work on their own, from ticket triage to onboarding to procurement.

Senior nearshore engineers who design the reasoning, the guardrails, and the orchestration behind them, in your time zone.

FusionHit nearshore engineers building AI agents with a US client team
WHAT WE DELIVER

Our AI agent development services

From the first use case to agents running in production.

Custom AI agent development

Agents built around your processes, with the reasoning, memory, and tools your workflows need.

Multi-agent systems

Specialized agents that coordinate through an orchestration layer to handle work with complex decision trees.

AI voice agents

Agents that handle calls end to end, booking, qualifying, and resolving in natural speech.

AI agent integration

Connect agents to your CRM, ERP, APIs, and internal systems so they can act on real work.

AI agent consulting

Use-case assessment that pinpoints where agents pay off, and the roadmap to get there.

TYPES OF AGENTS

The agents we build

Matched to how much work you want to hand over.

Task agents

Handle one repeatable job inside a workflow, like monitoring stock and raising replenishment requests.

Workflow agents

Run multi-step processes end to end, with judgment inside boundaries you define.

Autonomous agents

Operate like a virtual team member, owning complex workflows with minimal oversight.

Multi-agent systems

A manager agent coordinating specialists, each with its own tools, for complex operations.

WHERE THEY WORK

Where AI agents deliver the most

The functions where handing work to an agent pays off fastest.

Customer support

Triage, resolve, and escalate tickets, with full context on every handoff.

Sales

Qualify leads, enrich records, and keep your CRM current without manual entry.

Human resources

Screen applicants, schedule interviews, and run onboarding steps automatically.

Procurement

Evaluate suppliers, generate RFPs, and process purchase orders.

Compliance

Review documents and processes against changing regulations, audit-ready.

IT operations

Handle alert triage, first-line response, and incident reports.

Why FusionHit

Why companies build agents with us

  • Senior AI engineers

    Engineers who have shipped agentic systems into production, across industries and modern stacks.


  • Governed by design

    Guardrails, human-in-the-loop checkpoints, and audit trails, so autonomy stays controlled.


  • Real-time collaboration

    Nearshore engineers on US hours, live in your standups, tools, and reviews.


  • Flexible engagement

    Start with one agent and scale to a system, as the results come in.

FusionHit nearshore AI engineers working with a US client team

Hand your busiest workflow to an agent.

Talk to an expert. 30 minutes, no commitment.

Talk to an Expert
INDUSTRIES

AI agents for your industry

Built for the systems, data, and rules of your sector.

Fintech

Agents for onboarding checks, risk review, and transaction disputes.

Healthcare

HIPAA-ready agents for scheduling, claims, and clinical documentation.

Retail

Agents for inventory, order issues, and customer questions.

Logistics

Agents that track shipments, flag delays, and coordinate exceptions.

SaaS

In-product agents for support, onboarding, and account operations.

Insurance

Agents for claims intake, policy checks, and partner onboarding.

TECHNOLOGY EXPERTISE

The agent stack we build with

The frameworks and models behind reliable agents.

Frameworks

Models

Memory

Observability

HOW WE ENGAGE

Engage an AI agent team the way that fits

Add senior AI engineers to your team, embed a dedicated team, or hand us the full build. Pick the model that fits how you work today.

Add AI engineers to your team

Senior nearshore AI engineers join your existing team, under your direction, in days, not months.

Embed a dedicated AI team

A stable, cohesive team that works only on your product as an extension of yours. You set priorities and roadmap, the team self-organizes sprint after sprint.

Hand us the full build

Hand us the roadmap and we deliver end to end, under our direction: discovery, design, build, and monitoring. You get an outcome, not a team to manage.

FAQ

FAQs about our AI agent development services

01

How much does it cost to build an AI agent?

It scales with autonomy and complexity. A single task agent is the smallest starting point, workflow-level agents cost more, and multi-agent systems are the largest builds. We scope the use case first and give a line-item estimate, with senior LATAM rates 30-50% under US equivalents.
02

What is the difference between an AI agent and a chatbot?

A chatbot answers questions. An agent takes action: it plans steps, calls your tools and systems, and completes the task. If your need is conversational, see AI chatbot development.
03

How do you keep agents from making mistakes?

With scoped permissions, guardrails, and human-in-the-loop checkpoints on high-stakes steps, plus evaluations against real cases before launch. Every action is logged, so you can audit what the agent did and why.
04

Can agents work with our existing systems?

Yes. Agents connect to your CRM, ERP, help desk, databases, and internal APIs, so they act inside the systems your team already uses.
05

How long until an agent is in production?

A focused first agent can be live in weeks. Multi-agent systems take longer. We start with one high-value workflow, prove it, then expand.
06

Which frameworks and models do you use?

Production-proven ones: LangGraph, LangChain, CrewAI, and AutoGen for orchestration, and OpenAI, Anthropic, or open models underneath, chosen for your accuracy, cost, and privacy needs.
07

Can you fix an agent that is already underperforming?

Yes, that is a common request. We audit the architecture, memory, and reasoning steps, then address accuracy, latency, and cost through fixes to prompts, retrieval, orchestration, or the model itself.
08

How do you control token cost?

We right-size models per task, cache repeated work, and trim context, so agents stay affordable at scale. Cost is monitored in production alongside quality.
09

Do you maintain agents after launch?

Yes. We monitor performance, refine prompts and retrieval, and adjust the agent as your processes and data evolve.

Ready to put an AI agent to work?

Tell us the workflow you want handled, and we'll show you the agent team that can build it.

Trusted by leading teams

  • Microsoft
  • Toyota
  • Panasonic
  • KPMG

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