Business Advisory

Agentic AI With Humans in the Loop, Built Into Your Business

Forward-deployed engineers and consultants who build AI agents that do real work, with the checkpoints, analytics, and domain logic that let your people verify it and make the call. Our deepest bench is in supply chain and manufacturing.

Agentic AI & Oversight Advanced Analytics Supply Chain & Manufacturing Commercial & Finance
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
Cost Reduction
Working Capital
Revenue Growth
Service Levels
Decision Speed
Resilience
Why Optimodel Analytics

Agents, Domain, Analytics, and Judgment in One Team

AI now acts as well as answers, and it produces more analysis than any team can read. The value is in deciding what to delegate, checking what comes back, and owning the call.

Domain

Domain Expertise

Practitioners who know what a good plan, schedule, or forecast looks like, so agents are framed in your business's terms.

Analytics

Advanced Analytics

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

Agentic AI

Agents With Guardrails

Agents with the tools and data to do multi-step work, inside approval limits, escalation rules, and monitoring.

Judgment

Human Judgment

A named owner at every checkpoint, and training so your people know what to trust, what to act on, and when to step in.

Our Method

The Judgment Loop

Every agentic system we build runs the same loop: Frame, Delegate, Verify, Decide, and learn from each cycle.

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

Where people stay in the loop

We design the controls with your team, and they are part of what we hand over.

  • Approval limits. What an agent may do on its own, and above which value, volume, or risk a person must approve.
  • Verification checks. Reconciliations, plausibility tests, and optimization benchmarks run against every agent output.
  • Escalation rules. Which exceptions go to which owner, and how fast.
  • Audit trail and monitoring. Who approved what, when, and on what evidence, plus drift and error tracking.
Our Practices

Six Advisory Practices. One Integrated Team.

Engage one practice or several. Supply chain and manufacturing are where our bench runs deepest.

Agentic AI & Human Oversight

  • Agent use-case discovery & value sizing
  • Agent design: tools, guardrails, escalation
  • Approval checkpoints & audit trails
  • Evaluation, monitoring & AI governance

Advanced Analytics & Decision Science

  • Forecasting & predictive modeling
  • Optimization & prescriptive analytics
  • Simulation & scenario planning
  • Verification models that check agent output
Deepest expertise

Supply Chain

  • Network design & footprint strategy
  • Demand & supply planning, S&OP & IBP, MRP & DRP
  • Inventory optimization
  • Planning agents with planner sign-off
Deepest expertise

Manufacturing & Operations

  • Production planning & scheduling
  • Capacity planning
  • Predictive maintenance & OEE analytics
  • Maintenance & quality agents with engineer review

Commercial & Finance Analytics

  • Pricing & promotion analytics
  • Sales forecasting & territory design
  • Cost-to-serve & profitability
  • Agent-assisted reporting & reconciliation

Sustainability & Geospatial

  • Carbon footprint & emissions modeling
  • Circular & ESG-aligned sourcing
  • Site selection & location intelligence
  • Route & market mapping
 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.

Questions we are brought in to answer

  • Which planning decisions can an agent take on its own, and which need a planner's sign-off?
  • Where should the next plant or distribution center go, and which lanes should it serve?
  • How much inventory do we need, by SKU and location, to hit the service target?
  • Can the plant hit next quarter's plan, and what schedule gets it there?
  • Which assets are likely to fail before the next planned shutdown?
Start With a Diagnostic
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
How We Work

Forward-Deployed, From Insight to Impact

A consultant and an engineer work inside your organization. Each phase earns the next, and no agent runs at scale until a pilot has proven it, and its checkpoints, on your data.

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, AI agents and a playbook, and runs Diagnose, Prioritize, Pilot, Scale, then Hand over
1

Diagnose

Map decisions and data, assess which tasks are ready for agents and which must stay with people, and baseline the KPIs.

1–3 weeks
2

Prioritize

Impact vs. effort sizing, a business case for each opportunity, and a sequenced roadmap.

1–2 weeks
3

Pilot

Build the highest-value agent and its human checkpoints on your data, in one site, lane, product family, or team, to prove the ROI.

4–8 weeks
4

Scale & Hand Over

Roll out with governance and monitoring, then train the people who supervise the agents in AI judgment so your team runs it.

3–6 months
Ways to Engage

Start Small. Scale What Works.

Start here

Agent-Readiness Diagnostic

A fixed-scope look at one business area: which decisions are ready for agents, which must stay with people, and what data and controls each needs.

You get: ranked agent use cases, sized value, and a pilot recommendation.
Core engagement

Forward-Deployed Pod

A consultant and an engineer embedded with your team to take one agentic workflow from pilot to production, with checkpoints, monitoring, and a named owner.

You get: an agent in daily use, supervised by your people, with measured results.
At scale

Build, Operate, Transfer

We scale across sites or functions, run the system alongside your team, and transfer ownership through training in AI judgment.

You get: an in-house capability, trained owners, and documented playbooks.
Live Tool

Try the Supply Chain Diagnostics Sandbox — Free.

Run a diagnostic on your own network, inventory, or transportation data.

Open the Sandbox
Industries & Functions

Where We Work

CPG Life Sciences & Pharma Automotive Manufacturing Logistics & 3PL Technology & Hardware Retail & E-Commerce Agribusiness
Operations Supply Chain Sales & Marketing Finance Strategy & Transformation Data & IT

Bring Us a Decision You Want Agents to Help With.

Cost, cash, growth, or risk. We'll respond within 48 hours with a scoping call.