Agentic AI · Humans in the Loop · AI Judgment

Agents run the work. Your people own the judgment.

AI has moved from answering questions to taking actions. We design and run agentic systems with humans in the loop, and teach your people the judgment to direct, check, and overrule them. Forward-deployed engineers and consultants bring the AI, domain, and analytics expertise; our deepest bench is supply chain and manufacturing.

Business Advisory Corporate Training
Professional or student? Learn to run agents and judge them →
Human-in-the-LoopAgents act within limits; people approve, fix, or escalate
Judgment, TaughtPrograms that train people to question, verify, and decide
Forward-DeployedEngineers and consultants embedded with your team
Three AI agents send their work to a judgment checkpoint where a named owner verifies it against domain logic, analytics and data checks, then approves, fixes or escalates it, producing a decision the team owns, with feedback flowing back to the agents
Why Judgment, Why Now

AI Has Moved From Answering to Acting

GenAI tools answered questions and drafted text. Agentic systems now plan, reconcile, order, and report on their own, and they produce more information, analysis, and options than any team can read. The constraint has moved from producing analysis to judging it.

  • Agents act within limits you set: clear tasks, tools, approval thresholds, and escalation rules
  • People verify with domain knowledge and advanced analytics before anything consequential happens
  • A named owner makes the call, and every cycle makes the agents and the people sharper
Conceptual chart: from GenAI to agentic AI, AI-generated information, analysis and options rise steeply while human attention per day stays flat; the widening gap between them is judgment about what to trust, act on, or ignore
Our Method

The Judgment Loop

How we design agentic systems for clients, and how we teach people to run them. Each step draws on a different capability.

The Judgment Loop: Frame with domain expertise, Delegate to agentic AI, Verify with advanced analytics, Decide with human judgment, and Learn at the center
1

Frame

Domain expertise defines the decision, what good looks like, and the limits an agent must stay within.

2

Delegate

Agents do the multi-step work with the tools and data they need: drafting, reconciling, forecasting, reporting.

3

Verify

Advanced analytics and domain checks test the output: does it reconcile, is it plausible, what changed and why.

4

Decide

A named person approves, fixes, or escalates, with an audit trail. Their feedback improves the next cycle.

Domain

Domain Expertise

Practitioners who know what a good plan, schedule, or forecast looks like, with the deepest bench in supply chain and manufacturing.

Analytics

Advanced Analytics

Optimization, forecasting, and simulation: the math that sizes each option and checks what an agent produces.

Agentic AI

Agents With Guardrails

Agents built into the workflows your teams already use, with tools, approval limits, escalation rules, and monitoring.

Judgment

Human Judgment

The skill we build in your people: knowing what to trust, what to act on, and when to step in.

A forward-deployed pod of one consultant and one engineer works inside the client organization with operations, supply chain, finance, sales and leadership teams, ships decision models, pipelines, apps, agents with human checkpoints and a playbook, and runs Diagnose, Prioritize, Pilot, Scale, then Hand over
How We Deliver

Forward-Deployed, From Diagnostic to Handover

Every engagement is staffed with a pod of at least one consultant and one engineer, working inside your organization on your systems.

  • A consultant who frames the decision, owns the business case, and designs the human checkpoints
  • An engineer who builds the agents, models, data pipelines, and monitoring
  • Weekly working sessions where your people review agent output and set the rules
  • A planned handover: training in AI judgment for the people who will supervise the system
See How Engagements Run
For Organizations

Business Advisory and Corporate Training

We build the agentic system with you. Then we train the people who will supervise it.

Six advisory practices around your business decision: agentic AI and oversight, advanced analytics, commercial and finance, sustainability, manufacturing, and supply chain, with supply chain and manufacturing highlighted as deepest expertise

Business Advisory

Agentic AI, analytics, and domain expertise applied to cost, cash, growth, and risk.

Agentic AI & Human Oversight Agent design, guardrails, approval checkpoints, evaluation, and AI governance
Advanced Analytics & Decision Science Forecasting, optimization, and scenario models, including the checks that verify agent output
Supply Chain & Manufacturing Deepest expertise Planning, scheduling, and maintenance agents that propose, while planners and engineers decide
Commercial, Finance & Sustainability Pricing and sales analytics, agent-assisted reporting and reconciliation, carbon and location intelligence
Explore Business Advisory
Illustrative team capability chart comparing a baseline assessment with the closure report across forecasting, optimization, agent oversight, data storytelling and AI judgment, above a cohort of learners

Corporate Training

Teach your team to run AI agents and judge their output.

AI Judgment, Through Practice Learners review AI-generated analysis against data and domain logic, and decide what to accept, fix, or reject
Agentic Workflows, Hands-On Build agents and automations with review checkpoints, using the tools your teams already have
Built on Your Own Data Supply Chain AI (SCAI), AI for Business Productivity, and Consulting Foundations, rebuilt around your industry
Measured, Not Assumed Skill-gap baseline before the program, closure report and ROI analysis to leadership after
Explore Corporate Training

Accelerators

Six working supply chain tools — inventory, routing, forecasting, network design — your team builds during training and keeps after.

View accelerators →

Templates

Working models and frameworks your planners and analysts can use the same day.

Browse templates →

Diagnostics Sandbox

Run a self-serve diagnostic on your network, inventory, or transport data. Free.

Open the sandbox →
Discuss Your Requirements
Tell us the decision you want agents to help with. We respond within 48 hours.
 Area of Expertise

Supply Chain & Manufacturing

Our practitioners have spent their careers in planning, plants, and distribution. These decisions repeat every week, run on data you already have, and carry real cost when they go wrong, which makes them a strong fit for agents that propose and people who decide.

  • A planning agent drafts the supply plan and its exceptions; the planner approves what changes
  • A maintenance agent flags assets likely to fail; the engineer decides when to stop the line
  • An inventory agent proposes policy changes by SKU and location; the analyst checks them against service targets
Supply Chain & Manufacturing Advisory Try the Sandbox
Suppliers to plant to distribution center to customers, with the decisions modeled at each step: sourcing and risk, production scheduling, predictive maintenance, OEE and quality, inventory policy, warehouse layout, transport and routing, and demand forecasting, under integrated planning and network design

The same approach, agents with human judgment, works across the business. We also work with:

Operations Sales & Marketing Finance Strategy & Transformation Data & IT Sustainability
For Professionals

Learn to Run AI Agents, and to Judge Them

As AI produces more analysis, the professionals who stand out are the ones who can direct agents, check their work, and make the call. Our programs teach both, taught by the practitioners who deliver our advisory work.

Three steps, Domain, Analytics, and AI plus Judgment, with a professional at the top next to a flag for the next role, a portfolio card of projects including an agent workflow with checks, and a CV review gauge against a target role
  • Judgment, through practice. You review AI-generated analysis against data and domain logic, and decide what to accept, fix, or reject.
  • Agents you build and supervise. Workflows with checkpoints, so you stay in control of what the AI does.
  • Portfolio, not just a certificate. A forecast model, an optimizer, an agent workflow, a case presentation.
  • Free CV review. Score your CV against the role you want and get a training roadmap.
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Flagship

Supply Chain AI (SCAI)

Start here if you work in supply chain, operations, or manufacturing.

Demand planning, inventory, S&OP, optimization, and machine learning, through to building supply chain agents and the human checkpoints around them.

14 modules · live cohort Supply chain managers · planners · analysts · MBAs
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1-Week Intensive

AI for Business Productivity

Start here if you want AI agents working in any business role.

Automate reports and build agentic workflows with Claude, Claude Code, Copilot, Gemini, and Cursor, with review checkpoints so you stay in control. No coding background required.

1 week · online Any business function
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6 Weeks · Judgment

Consulting Foundations

Start here if you want sharper judgment, or a move into consulting or strategy.

Structure an ambiguous problem, test AI-generated analysis, find the root cause, and present a recommendation leadership can act on. Ends in a full case capstone.

6-week live cohort · online Analysts · mid-career professionals · MBAs
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Eight dimensions against role-specific benchmarks, with AI rewrites and a training roadmap. 60 seconds.

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Bring Us the Decision You Want Agents to Help With.

Start with an agent-readiness diagnostic, a pilot, or your team's AI judgment. We respond within 48 hours.

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