The Agent Hub

Enterprise-grade agents. Wired for the work that runs the business.

Nine production-ready agents, organized into three operating hubs and tunable to your industry. Each agent ships with evals, guardrails, observability and a human-in-the-loop path. Buy what you need. Compose what you can't.

The complete portfolio

Nine agents. One operating canvas.

Tap any agent for the detail below. Or scroll to read the hub story.

Hub 01

Supply Chain Hub

Agents that own the decisions that move physical goods — from forecast through delivery, with the suppliers and lanes in between.

Forecast → Replenish

Demand Sensing Agent

Continuously ingests POS, channel sell-through, weather, promotion calendars and external demand signals. Revises short-horizon forecasts. Triggers replenishment when reality diverges from plan — with reasoning the planner can audit.

15–25% forecast accuracy lift · 20% stockout reduction
Logistics

Logistics Orchestration Agent

Autonomously selects carriers, optimizes multi-modal routing, and resolves exceptions across global lanes. Negotiates rebooking. Tracks SLA and surfaces patterns that point to root cause.

8–12% logistics cost reduction · 30% faster exception clearance
Risk

Supplier Resilience Agent

Monitors supplier financial health, geopolitical signals, ESG and operational disruption indicators. Surfaces tier-2 and tier-3 risk early. Recommends pre-qualified alternates with sourcing rationale.

Disruption response windows cut in half
Hub 02

Financial Operations Hub

Agents that take the highest-volume, lowest-judgment work off your finance organization — and free senior people to actually analyze the business.

Close & reconcile

Reconciliation Agent

Matches transactions across systems, drafts journal entries, investigates breaks with documentary evidence. Learns from analyst feedback. Pre-clears the books each day so close is not a sprint.

70–80% manual recon effort eliminated · 3-day close enabled
Procure-to-Pay

AP Compliance Agent

Validates invoices against POs and contracts. Runs 3-way match. Detects duplicates, fraud patterns and policy violations. Routes exceptions with evidence packs — auditor-ready.

90%+ touchless invoice processing
Cash & Treasury

Working Capital Agent

Forecasts cash positions. Recommends payment timing, DPO/DSO trade-offs, discount-take and dynamic discounting actions — with explicit explanation of the trade.

Tens of millions in working-capital release at scale
Hub 03

Marketing Automation Hub

Agents that work alongside marketers — not in place of them — to find the audience, ship the message and stop the spend when it stops working.

Audience & CLV

Audience Intelligence Agent

Discovers high-value cohorts in first-party data. Predicts customer lifetime value. Recommends segmentation strategies with the supporting signal, not a black box.

2–3× lift in campaign ROI
In-flight optimization

Campaign Orchestration Agent

Matches creative, channel and audience in flight. Reallocates budget mid-campaign against in-market performance. Marketer override is always one click away.

25–40% conversion lift at flat or lower spend
Retention & NBA

Retention & Next-Best-Action Agent

Detects churn signals early. Designs personalized interventions. Sequences offers and channels — and recommends stopping a campaign before it stops earning.

10–20% churn reduction
Under the hood

The platform behind the agents.

Every Agent Hub deployment runs on a common substrate: an agent runtime, an eval and observability layer, and a control plane for governance, model risk and human-in-the-loop oversight.

Agent Runtime

Orchestrates tools, memory and multi-step workflows. Model-agnostic.

Eval & Observability

Continuous evaluation, trace logs, drift detection, regression suites.

Governance

Role-based controls, model risk register, change management, audit trails.

Human-in-the-loop

Configurable approval flows, escalation policies, override-and-learn.

Deploy in weeks, not quarters

Pick the agent that maps to the metric you're under pressure to move.

We'll show you a working version with your data inside two to three sprints. If it doesn't beat your baseline, we don't continue.

Start with one agent