AI Agents & Automation

Custom AI agents and automations that do real work for your business

We design, build, and deploy custom AI agents and automations that handle real work — answering customers, qualifying leads, processing documents, and running multi-step workflows across the tools you already use. Built on the same stack behind our own AI products, with a human approval step wherever it matters.

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Who This Is For

Our ai agents & automation service is the right fit when your situation looks like one of these:

  • Businesses drowning in repetitive work — support tickets, lead follow-up, data entry, document processing — that a well-built agent can handle around the clock

  • Teams that have outgrown simple Zapier/Make automations and need agents that can actually reason about a task, not just move data between two apps on a fixed trigger

  • Founders who want AI woven into their product or operations but don't have the in-house expertise to build and run it safely

How We Work

A defined process is what separates predictable delivery from chaotic projects. Here is exactly what working with us looks like.

  1. 1

    Workflow Audit & Use-Case Selection

    We map the repetitive, rule- or language-based work across your business and prioritize by hours saved and risk — starting with the automations that pay for themselves fastest, not the flashiest demo.

  2. 2

    Agent Design & Guardrails

    We design the agent's job, its tools, its memory, and — critically — where a human must approve before it acts. Irreversible or sensitive steps are gated by design, so the agent handles the busywork without ever going rogue.

  3. 3

    Integration & Build

    The agent is connected to the tools you already use — CRM, inbox, helpdesk, calendar, sheets, payments — via APIs and MCP, and built on the same stack behind our own AI products. No rip-and-replace of your existing systems.

  4. 4

    Testing & Audit Trail

    Every path is tested, including the edge cases that break agents in production. Each run is logged with a full audit trail, so you can see exactly what the agent did, when, and why.

  5. 5

    Launch, Monitor & Improve

    We watch performance after launch and tune prompts, tools, and limits based on real runs. You own the setup outright — no per-seat SaaS lock-in — and can bring your own model keys to control cost directly.

What You Get

  • Offload repetitive work to agents that run 24/7
  • Connected to your real tools — email, CRM, Slack, sheets, and more
  • A human-approval step on anything sensitive, so nothing goes rogue
  • Own the setup outright — no per-seat SaaS lock-in

Deliverables

  • AI agent design and prompt/workflow engineering
  • Custom chatbot or assistant (web, WhatsApp, Telegram, or email)
  • Tool and API integrations (CRM, helpdesk, calendar, docs, payments)
  • Workflow automation across your existing apps
  • Testing, guardrails, and a full audit trail on every run

Why LOTS Tech for AI Agents

There are many agencies offering ai agents & automation. Here is what is specifically different about how we work.

  • We build the whole thing — strategy, integrations, guardrails, and the agent itself — not a half-configured template you're left to finish

  • Human-approval and a full audit trail are the default, not an afterthought, so you get automation you can actually trust with real customers and money

  • Built by a team that ships its own AI products — the same durable, checkpointed agent stack behind LotsTech, applied to your business

Frequently Asked Questions

What kind of tasks can an AI agent actually handle?
Customer-support triage, lead qualification and follow-up, appointment booking, document and invoice processing, content drafting, and moving data between tools. If it's repetitive and rule- or language-based, an agent can usually do most of it — with you approving anything sensitive.
Do we need to replace our current tools?
No. Agents connect to the tools you already use — your CRM, inbox, helpdesk, calendar, spreadsheets, and payment systems — through APIs and integrations. We fit the agent around your stack, not the other way around.
Is it safe to let AI act on its own?
We build with guardrails: irreversible or sensitive actions require explicit human approval, every run is logged with a full audit trail, and you set the limits. The agent handles the busywork; you keep control of the decisions that matter.
How is an AI agent different from a Zapier or Make automation?
A Zap fires a fixed sequence on a trigger — great for simple, predictable steps. An agent can take a goal, reason about it, choose which tools to use, handle messy or ambiguous inputs, and ask for approval before acting. We use whichever fits — often simple automation for the plumbing and an agent for the judgment.
Is it safe to let an AI agent act on its own?
That's exactly what the guardrails are for. Sensitive or irreversible actions require explicit human approval, every run is logged, and you set hard limits. In practice the agent drafts and does the busywork; a person signs off on anything that matters.

Ready to get started?

Tell us what you need and we'll scope your ai agents & automation project within 24 hours.

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