Your Team Stops Beingthe bottleneck.
Autonomous AI agents that receive a goal and complete it. Planning, deciding, and executing across your entire tool stack — around the clock, without a human managing each step.
What Autonomous Agents Actually Do
Four capabilities that separate a real AI agent from a workflow tool or a chatbot.
Six Ways We Remove a Human From a Process That Doesn't Need One.
Each capability below is a specialist build. Most engagements combine two or more.
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An Agent Is Not a Chatbot.
A chatbot responds to questions. An agent pursues goals. Here is what that difference looks like in practice.
This is the difference between a tool and a team member.
Real Outcomes. Measured in Production.
Every deployment below replaced a high-cost manual process with a system that now runs without the team's involvement.
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The Stack That Produces the Best Results in Production.
We are model-agnostic and tool-agnostic. Every choice is made based on what produces the best outcome for the specific system being built.
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Commonly built on LangGraph · LangChain · n8n · Pinecone · Python · GPT-4o · Claude · PostgreSQL
Questions Worth Asking Before You Build
The questions operations leaders ask us most often — answered directly.
What exactly is an AI agent and how is it different from a chatbot?
A chatbot responds to questions. An AI agent pursues a goal. When you give an agent a task, it plans the steps, executes them across your connected systems, handles exceptions, and reports back — without you managing each step. The difference is not subtle. One produces text. The other produces outcomes.
What kind of goals can an agent actually handle?
Any goal that involves a repeatable sequence of decisions, data lookups, and system actions. Qualifying a lead and updating the CRM. Processing an invoice end to end. Answering a complex query from your internal documents. Monitoring inventory and triggering reorders. If your team runs the same multi-step process more than a dozen times a week, an agent can almost certainly handle it.
How is a Quixas-built agent different from using ChatGPT or another off-the-shelf AI tool?
Off-the-shelf AI tools respond to prompts in isolation. They have no memory of your previous interactions, no access to your live systems, and no ability to take action on your behalf. A Quixas agent is connected to your actual tools, trained on your specific context, and designed to execute — not just respond. It operates 24/7 without being prompted for each step.
What is LangGraph and why do you use it?
LangGraph is an orchestration framework that lets us design agents as stateful graphs — each node is a decision or action, each edge is a possible path based on context and results. This makes agent behaviour deterministic, debuggable, and auditable. When something goes wrong in production, we can trace exactly what the agent decided and why. That matters when agents are running on live business data.
What happens when the agent makes a mistake or hits an unexpected situation?
Every agent we build includes a self-healing layer. When an action fails — a timeout, a bad API response, an unexpected data format — the agent retries with exponential backoff, logs the failure with full context, and escalates to a human only when the retry budget is exhausted. Most real-world errors are resolved automatically without any intervention from your team.
How long does it take to go from conversation to a live agent?
A single-function agent typically takes 2 to 4 weeks from approved design to production deployment. A multi-agent system covering several workflows takes 6 to 10 weeks. Every engagement begins with a free 2-week diagnostic where we map the target process, design the agent architecture, and estimate time and cost savings — before any build begins.
Do we need to replace our existing tools or systems?
No. We build agents that connect to the tools you already use — your CRM, ERP, inbox, calendar, databases. We do not ask you to change your stack. We wire intelligence into it. The agent becomes a layer on top of your existing systems, not a replacement for them.
What does it cost and what do we own at the end?
We work on a project basis scoped to your specific system. We offer a free strategy session where we estimate cost, timeline, and expected savings before you commit. At handover, you own 100% of the code, agent logic, and IP. No ongoing licence fee for the system we built. No lock-in.
Walk Away With a Blueprint.
Not a Sales Pitch.
In 30 minutes we map the process, design the agent, and show you exactly what it would cost and what it would save. You leave with a clear picture — whether you build with us or not.