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AI Agents & Automation

AI Agents and AI-Powered Development That Actually Ship

Most “AI features” are a chatbot bolted onto a product with no real workflow behind it. We build AI agents that do actual work—qualifying leads, processing documents, answering support questions with real context, or automating multi-step operations—using Vertex AI and Gemini, the same infrastructure already running our own products in production.

Why This Breaks in Practice

  • —AI demos look impressive and then fail the moment a real user goes off-script.
  • —Agents without guardrails take unpredictable actions—that's a liability, not a feature.
  • —Prompt-only “integrations” break silently when models change or inputs vary.
  • —Teams bolt AI onto existing software without rethinking the workflow it's meant to replace.
  • —No human-in-the-loop path means small AI mistakes become large operational problems.
  • —Vendor AI wrappers create lock-in without giving you control over cost, latency, or behavior.

Our Approach

Workflow-first, not model-first. We design what the agent needs to accomplish before picking a model or prompt strategy.

Built on Vertex AI and Gemini. Production-grade infrastructure with proper auth, quotas, and observability, not an unmanaged API key in a script.

Guardrails by default. Input validation, output checks, and scoped permissions so an agent can't take actions outside its lane.

Human-in-the-loop where it matters. Approval steps and escalation paths for anything with real consequences (money, customer comms, data changes).

Evals before launch. We test agents against real scenarios and edge cases, not just the happy path, before they touch production.

Built for handoff. Clear documentation and reasonable architecture so your team can extend or maintain the agent without us.

What We Build

AI Agents

Autonomous or semi-autonomous agents that complete multi-step tasks.

  • • Customer support agents that resolve tickets using your real documentation and data
  • • Internal operations agents that process documents, route requests, or flag exceptions
  • • Sales and outreach agents that qualify leads and draft personalized follow-ups

AI-Powered Development

Existing products or new builds with AI woven into the core experience, not bolted on.

  • • Gemini-powered features: summarization, classification, generation, extraction
  • • Retrieval-augmented workflows so AI answers are grounded in your actual data
  • • AI-assisted internal tools that speed up repetitive analysis or content work

Integration & Orchestration

  • • Connecting agents to your existing CRM, support desk, or internal systems
  • • Multi-step orchestration across tools with proper error handling and retries
  • • Usage and cost monitoring so AI spend stays predictable

Evaluation & Guardrails

  • • Test suites and scenario evals before anything reaches production
  • • Rate limiting, content filtering, and scoped permissions per agent
  • • Human review queues for high-stakes actions

Built and Operated Internally

We're a small team, but we run AI in production every day. AstroRizq runs on Vertex AI Gemini to power personalized astrology readings for real users at scale. OutreachFlow uses Gemini to draft and manage outreach across multiple accounts automatically. These aren't prototypes—they're products we depend on for our own business, which means we've already hit the failure modes (rate limits, hallucinated outputs, latency under load, cost creep) and built around them.

When we build an agent or AI feature for you, we're applying lessons learned from running this stack ourselves, not following a tutorial.

AI Agents & Automation FAQ

An AI agent is software that can take multi-step actions toward a goal—not just answer a question once. Think: an agent that reads a support ticket, checks your docs, drafts a reply, and flags anything it's unsure about for a human—rather than a single chatbot reply.

Let's Talk

If you have a workflow that's repetitive, a support queue that's growing, or an idea for an AI feature you're not sure how to scope, we should have a conversation. We work with projects of all sizes, from a single automated task to a multi-month agent build—tell us what you're trying to solve and we'll tell you honestly whether AI is the right tool for it.

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