Agents that work. Pipelines that ship.
Custom AI agents, Model Context Protocol (MCP) tooling, and DevOps automation pipelines for productivity, BI, and business workflows. Guardrails, tool access, and human approval where risk is high.
Agents and Automation Services
From a single workflow pilot to multi-tool agents wired into your stack.
Custom AI Agents
Agents that plan steps, call APIs and scripts, and complete workflows inside your systems with clear success metrics.
Custom MCP Servers
Model Context Protocol tooling so agents use controlled data sources and actions safely, not only chat.
DevOps Automation
Review loops, deploy checks, ticket triage, and ops pipelines with human approval on high-risk steps.
BI and Reporting Agents
Agents that gather data, draft reports, and surface anomalies so teams spend less time on manual pulls.
Workflow Orchestration
Multi-step pipelines across CRM, ticketing, docs, and chat with logging and retries.
Pilot to Production
Start with one bounded workflow, measure outcomes, then expand coverage without a big-bang rewrite.
Agents that do work, not chat demos.
We design agents around real tools and approvals: MCP servers, APIs, scripts, and your existing stack.
When data is sensitive or volumes are high, agents run on a private or on-premise LLM, so documents never leave your infrastructure.
Flexible budgets welcome. A focused pilot can prove value in weeks, then grow into broader automation.
Three ways to start, each with clear pricing.
Technical audit
A review of your codebase, infrastructure or idea: risks, architecture options and a realistic estimate.
Book an auditFixed-scope project
Discovery, design, build and launch of a defined product, with milestones agreed up front.
Request a quoteDedicated capacity
Senior engineering time on your roadmap every month, for evolving products and agency partners.
Discuss capacityFrequently Asked Questions
What is an AI agent vs a chatbot?
Agents can plan steps, call tools (APIs, MCP, scripts), and complete workflows with guardrails. Chatbots mostly answer text. We build agents that do work inside your systems.
What is MCP and why does it matter?
Model Context Protocol lets agents use controlled tools and data sources. We design custom MCP servers so your agents act safely on your stack, not only in a chat window.
Can you automate DevOps or BI pipelines with agents?
Yes: review loops, report generation, ticket triage, deploy checks, and data workflows, with human approval where risk is high.
Do agents need a private LLM or can they use cloud APIs?
Either. For sensitive data we run agents on a private or on-premise LLM (see Private AI); public cloud APIs are fine when your data policy allows.
How long does an agent pilot take?
A focused pilot is often weeks: one workflow, clear success metrics, then expand. Timeline depends on tool access and approval rules. For examples, costs and how to run a first pilot, read our guide to AI agents for business.
Will you replace our whole ops team with agents?
No. We automate repetitive, well-bounded work and keep people on judgment, exceptions, and strategy.
Are you an AI agent development company, or do you resell a platform?
We are an AI agent development company: we design, build and maintain custom agents, MCP servers and automations on your own stack, with no closed platform to resell. Our AI agent development services run from a first pilot to production support.
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Have an agent or automation project?
Tell us the workflow you want to automate and any constraints on data or tools. We will propose a realistic pilot.
- A senior engineer reads every brief
- If we are not the right fit, we say so
- info@shambix.com
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