Market Horizon | AI Workforce Systems
Market Horizon is an AI consulting firm that engineers continuously-operating AI workforce systems for enterprises. The platform combines four layers: data ingestion (ERP, marketplace APIs, documents, internal systems), orchestration (Claude 4.7 Opus, GPT-5.5, Gemini 3 Pro, Llama 4 Maverick), specialized agent execution (finance, commerce, research, logistics), and an action plane (ERP write-back, communications, analytics, human review queues). Deployments go live in weeks across 24 use-case categories spanning 11+ industry verticals, with a 168-hour continuous operation window, ~90 percent payroll dependency reduction for modeled functions, and human approval gates for high-stakes decisions.
Approach
01 / Approach
Three pillars.
No noise.
Every system we build rests on the same structural foundation: intelligent routing, coordinated agent execution, and infrastructure that never stops moving.
01 / Core
Model Routing Intelligence
Tasks are profiled by complexity, sensitivity, and cost ceiling, then dispatched to the optimal model. Frontier APIs for reasoning-heavy work; open-source for throughput. No human hand-off required.
cost-weighted dispatch · latency-aware · capability profiling
02 / Execution
Workforce Orchestration
Specialized agents handle discrete functions (finance, compliance, logistics, commerce) coordinated by an orchestration layer that maintains shared state, handles retries, and escalates to humans only when policy requires.
multi-agent · tool use · long-context state · human escalation
03 / Infrastructure
Continuous Deployment Infrastructure
We deploy, monitor, and maintain. Every system runs inside your existing stack with no new SaaS subscriptions, no integration tax. Version-controlled prompts. Automated regression testing. SLA-backed uptime.
your stack · version-controlled prompts · auto-regression · SLA
06 / Deployment
Live in weeks, not quarters.
A five-phase deployment that moves from discovery to production-grade operation, all within your existing infrastructure.
Week 1–2
Discovery & Mapping
Process audit, data source mapping, and agent persona scoping across target functions.
Week 3–4
System Design
Architecture finalization, model selection, tool integrations, and prompt library construction.
Week 5–7
Build & Integration
Agent development, ERP/API connector setup, and staging environment deployment.
Week 8
Testing & Calibration
End-to-end regression suite, edge-case hardening, and human-in-the-loop validation.
Week 9+
Production & Handoff
Live deployment, monitoring dashboard, SLA activation, and continuous iteration cadence.