Multi-Agent Workflows & Deterministic Automation
Single-prompt chatbots fail in enterprise environments. We architect multi-agent systems where specialized agents collaborate on complex business problems with deterministic guardrails and human oversight.
Orchestrator-Specialist decomposition.
Instead of forcing a single model to do everything, we split complex responsibilities into bounded roles, preventing cognitive overload and ensuring total auditability:
Decomposes high-level business goals into directed acyclic task graphs (DAGs), delegates bounded tasks to specialists, and verifies intermediate results before proceeding.
Domain-specific agents (Research, Extraction, Reconciliation, Code Generation) equipped with constrained tools and bounded blast radiuses that cannot access unauthorized databases.
Evaluates every proposed tool call against deterministic JSON schemas and spending ceilings. Freezes execution immediately if metrics or parameters deviate from safety envelopes.
Provides operators an interactive queue displaying step-by-step reasoning tokens, inputs, and projected impacts for high-stakes actions requiring manual sign-off.
The right model for the right task.
We never lock you into a single foundation model provider. Our agent swarms dynamically route requests to the most cost-effective and accurate model:
High-Order Reasoning & Complex Planning
Anthropic Claude 3.7 Sonnet / OpenAI o3-mini
High-Throughput Extraction & Data Structuring
Google Gemini 2.5 Flash / Claude 3.5 Haiku
Deterministic Validation & Fallbacks
TypeScript Zod Runtime / Local Open-Source Models
Multi-Agent Swarm Platform
Indivision AI orchestrates autonomous specialist agents (Planner, Pacer, Auditor) across Meta and Google Ads APIs. It demonstrates how we enforce bounded blast radiuses, fractional budget pacing, and interactive human-in-the-loop review queues before high-stakes ad spend is committed.
Autonomous multi-agent campaign group cockpit in commercial production.