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AI automation & web development agency · California & nationwide

Autonomous AI agents, workflow automations & custom web development

We engineer custom web applications, autonomous digital workers, and self-hosted workflow automations 24/7 — under human oversight, built for ambitious businesses in California and nationwide.

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Productivity uplift in customer operations
Up to 45%

McKinsey estimate for generative AI, 30–45% of current function costs. Source: McKinsey.

Agent coverage once deployed
24/7

Consistent handling around the clock, with defined escalation to a human.

First workflow live in
Weeks 1–4

Phased rollout: one workflow at a time, expanded only once it hits its targets.

Configuration, not guesswork

Every digital worker is defined before it is deployed

Scope, triggers, integrations and escalation rules are declared and versioned — so you always know what an agent can touch, when it acts, and where a human stays in the loop.

  • Explicit tool and data access per agent
  • Escalation thresholds you approve up front
  • Config in version control, reviewable like any code
export const worker: WorkerConfig = {
  name: "customer-ops-agent",
  model: "reasoning-v2",
  triggers: ["inbound_email", "crm.ticket.created", "schedule.daily"],
  integrations: {
    crm: "salesforce",
    email: "gmail",
    slack: "#support-ops"
  },
  escalation: {
    toHuman: ["refund > 500", "sentiment < 0.3"],
    notify: "team-lead"
  },
  schedule: "24/7",
  oversight: "human-in-the-loop"
};

What we build

Five practice areas, one delivery team

Each engagement starts in one area and expands only once it earns the next.

AI Agents

Autonomous agents that read your systems, decide, and act — with human approval wherever it matters.

Explore AI Agents

Web Development

Custom modern websites, web applications, and internal tools with native AI integrations and sub-second speed.

Explore Web Development

n8n Workflows

Self-hosted automation that connects the tools you already pay for, without another SaaS subscription.

Explore n8n Workflows

RAG Systems

Question answering over your own documents, with answers that cite the source passage they came from.

Explore RAG Systems

AI Strategy

Process mapping, opportunity sizing and an adoption roadmap before anyone writes code.

Explore AI Strategy

Implementation roadmap

From first call to a system that runs itself, in 12 weeks

Indicative timeline. Scope, not calendar, decides when a phase ends.

  1. Weeks 1–2

    Phase 1 · Audit

    We map your workflows and pick the highest-ROI candidate: high volume, rule-heavy, or data-bound work.

  2. Weeks 3–5

    Phase 2 · Blueprint

    Agent scope, integrations, data access and human approval points are documented and signed off.

  3. Weeks 6–9

    Phase 3 · Build

    The first workflow goes live against real cases, with evals and a rollback path from day one.

  4. Weeks 10–12

    Phase 4 · Scale

    We expand coverage, monitor accuracy in production, and hand over documentation your team can run on.

Our approach

How we build autonomy

01

Discovery

We audit existing workflows to find the tasks best suited to AI agents, and estimate the time and cost each one could save.

02

Strategy

We define each agent's scope, the systems it connects to, the data it can access, and where a human approves its actions.

03

Build

We roll out in stages, starting with a single workflow and expanding only once an agent meets its accuracy targets.

04

Support

We monitor agents in production, retrain on new edge cases, and tune performance as volume grows.

Book your free consultation

Tell us what is eating your team's week

Three short steps. We reply within two business days with whether we think automation is the right call — including when it is not.

Prefer email? esteban@ai-gentlab.com

About you
About your company
What you need

FAQ

Common questions, direct answers

What does Ai-gent Lab do?

Ai-gent Lab is an AI automation agency that designs and deploys autonomous digital workers for businesses. Our services span cognitive strategy (AI adoption roadmaps), digital worker deployment, predictive intelligence, and workflow automation — turning manual, repetitive operations into autonomous systems under human oversight.

What are AI digital workers?

AI digital workers are autonomous software agents powered by large language models and reasoning engines. Unlike rule-based automation, they understand context, make decisions, handle edge cases, and execute multi-step workflows across business systems — processing documents, managing communications, and analyzing data around the clock.

How does an engagement start?

Every engagement starts with research: we map your workflows, interview stakeholders, and identify the highest-ROI automation opportunities. We then deploy one workflow at a time and expand only once each agent meets its accuracy and reliability targets — a phased rollout that minimizes risk.

Do AI agents replace human teams?

No. Our digital workers augment human teams, not replace them. Every agent runs with defined escalation rules and human approval points. Automation handles the repetitive cognitive load, freeing your people for strategy, relationships, and creative problem-solving.