Orion Corps // Automation // Custom AI Agents
BUILD.EQUIP.DELEGATE.
Deploy autonomous digital workers equipped with custom tools. We specialize in custom AI agent development to scale your operations.
Scale headcount digitally with autonomous AI workers.
Chatbots wait for you to ask questions. Agents take initiative. We engineer autonomous systems through custom AI agent development that can use tools, query databases, and execute multi-step workflows while keeping a human in the loop for critical decisions.
Orchestrating complex tasks via multi agent framework development.
Grounding model outputs through vector database RAG integration.
SCOPE THE AGENT BOUNDARIES
WE DEFINE EXACTLY WHAT THE AGENT CAN AND CANNOT DO. WE SET STRICT PERMISSIONS, API ACCESS CONTROLS, AND ESCALATION TRIGGERS TO PREVENT ROGUE ACTIONS.
EQUIP WITH TOOLS
AN AGENT IS ONLY AS GOOD AS ITS TOOLS. WE BUILD CUSTOM PYTHON FUNCTIONS ALLOWING THE AGENT TO QUERY DATABASES, SEND EMAILS, OR MANIPULATE FILES.
PROMPT ENGINEERING & REASONING
WE DESIGN THE COGNITIVE LOOP (REACT OR PLAN-AND-SOLVE). THE AGENT LEARNS HOW TO BREAK DOWN COMPLEX, AMBIGUOUS REQUESTS INTO SEQUENTIAL STEPS.
MULTI-AGENT ORCHESTRATION
IF THE TASK IS TOO LARGE FOR ONE AGENT, WE DEPLOY A SUPERVISOR AGENT THAT DELEGATES SUB-TASKS TO SPECIALIZED WORKER AGENTS AND COMPILES THE RESULTS.
HUMAN-IN-THE-LOOP VERIFICATION
FOR HIGH-STAKES ACTIONS (E.G. SENDING INVOICES, DELETING DATA), THE AGENT PAUSES AND REQUESTS EXPLICIT APPROVAL FROM A HUMAN VIA SLACK OR EMAIL.
Common Questions
Straight answers. No sales language.
WHAT IS THE DIFFERENCE BETWEEN AN LLM AND AN AI AGENT?
AN LLM SIMPLY GENERATES TEXT BASED ON A PROMPT. AN AI AGENT CAN TAKE REAL-WORLD ACTIONS. AN AGENT USES AN LLM AS ITS COGNITIVE 'BRAIN' TO DECIDE WHICH SOFTWARE TOOLS TO CALL TO ACCOMPLISH A SPECIFIC GOAL.
IS IT SAFE TO LET AI TAKE AUTONOMOUS ACTIONS IN OUR ENTERPRISE SYSTEMS?
YES. WE ENFORCE STRICT PERMISSIONS AT THE DATABASE LEVEL. WE NEVER GIVE AGENTS DESTRUCTIVE ACCESS (LIKE DROP PRIVILEGES) UNLESS EXPLICITLY REQUIRED, AND WE DEPLOY MANDATORY HUMAN-IN-THE-LOOP (HITL) APPROVALS FOR ANY SENSITIVE ACTIONS.
HOW DOES A SUPERVISOR AGENT WORK?
A SUPERVISOR AGENT ACTS LIKE A MANAGER. YOU GIVE IT A MASSIVE GOAL (E.G. 'WRITE A COMPETITIVE ANALYSIS REPORT'). THE SUPERVISOR BREAKS THE GOAL DOWN AND DELEGATES SPECIFIC PIECES TO A RESEARCHER AGENT, A WRITER AGENT, AND AN EDITOR AGENT IN PARALLEL.
WHAT HAPPENS IF THE AGENT GETS STUCK IN A LOGICAL LOOP OR HALLUCINATES?
WE HARDCODE MAXIMUM ITERATION LIMITS INTO THE COGNITIVE LOOP (E.G. MAX 5 TOOL CALLS). IF AN AGENT CANNOT MATHEMATICALLY SOLVE THE PROBLEM WITHIN THE LIMIT, IT GRACEFULLY FAILS AND ESCALATES TO A HUMAN TO PREVENT RUNAWAY API COSTS.
DO WE NEED TO LOG INTO A NEW CUSTOM INTERFACE TO INTERACT WITH THE AGENT?
NO. WE TYPICALLY DEPLOY AGENTS DIRECTLY WHERE YOUR TEAM ALREADY WORKS — AS NATIVE SLACK BOTS, GITHUB APPS, OR INVISIBLE BACKGROUND JOBS TRIGGERED AUTOMATICALLY BY WEBHOOKS.
HOW LONG DOES IT TAKE TO BUILD A CUSTOM AI AGENT?
A SINGLE-TASK SPECIALIZED AGENT CAN BE BUILT AND DEPLOYED TO PRODUCTION IN 2-3 WEEKS. A COMPLEX MULTI-AGENT SUPERVISOR FRAMEWORK WITH NUMEROUS TOOL INTEGRATIONS TYPICALLY TAKES 4-8 WEEKS DEPENDING ON THE TARGET APIS.
Eliminate manual intervention with independent AI agent systems.
Tell us about your most repetitive operational bottleneck and we will architect an agent to eliminate it via custom AI agent development.
// Capabilities Index