New guideAI agents for supply-chain operations, in production under human supervision.
InfoSun
Digital Transformation Services

AI & Machine Learning Deployment

AI & Machine Learning Deployment is a service within InfoSun's Digital Transformation Services capability, covering deploying and operating AI and machine learning models in production. We run it as capability you own: domain experts govern the work, AI agents execute the high-volume steps under supervision, and it operates on the WMS, TMS, and ERP you already run. You are measured on outcomes, not headcount.

Human-orchestrated AI Runs on your existing systems Outcomes, not headcount
Digital Transformation Services Live
AI & Machine Learning Deployment
Robotic Process AutomationWorkflow AutomationAI & Machine Learning DeploymentProcess MiningIntelligent Document ProcessingAPI & Integration Services
People govern · AI assists and executes · capability you retain
Overview

AI & Machine Learning Deployment sits inside Digital Transformation Services, one of the capability areas InfoSun runs for supply chain, logistics, and enterprise teams. The approach is the same across every service: move a high-cost, high-volume workflow onto a human-governed, AI-native operating model, prove the numbers against your baseline, and leave the capability with you.

What AI & Machine Learning Deployment covers with InfoSun

Set up and run AI & Machine Learning Deployment on your existing systems, no rip-and-replace: deploying and operating AI and machine learning models in production.
AI agents handle the repeatable volume while your experts own exceptions, judgment, and sign-off.
A measured baseline for cost, accuracy, and speed, reported on your own dashboards, not ours.
A path from a single workflow to full ownership, transferred to your team at your pace.
Outcomes, not headcount

What the work delivers

Less manual effort

RPA and AI agents take over repetitive back-office work under supervision.

Faster process execution

Automated workflows and straight-through processing speed up cycle times.

Higher process accuracy

Consistent, rules-based execution reduces errors and rework.

Better operational visibility

Process mining and dashboards show how work actually runs.

Typical ranges across supply chain, logistics, and enterprise engagements, baselined against your current numbers at the start.

How it works

One operating model, from first workflow to full scale

1
Agree the scope

Choose the processes together, and analyze them first

2
Establish

Stand up the team, governance, and KPIs

3
Find the AI fit

Where supervised AI suits the work, and where it does not

4
Augment

Agents draft and perform; your people approve

5
Improve together

Tune against live KPIs with your team

Runs on Manhattan, SAP EWM, and Blue Yonder, plus your TMS and ERP. No rip-and-replace.

No rip-and-replace

Runs on the WMS, TMS, and ERP you already own.

Human in the loop

AI agents propose, your experts approve. Never a black box.

Start with an assessment

Get the baseline and business case before you commit.

Outcomes, not headcount

Measured on cost, accuracy, and decision speed.

Proof in practice

Real work, anonymized

A selection of delivered outcomes from InfoSun engagements. Client names and financials are withheld.

Results from real InfoSun engagements, baselined at the start of each engagement. Client names and financials are withheld by request.

Frequently asked questions

What is AI & Machine Learning Deployment?+

AI & Machine Learning Deployment is one of InfoSun's Digital Transformation Services services, covering deploying and operating AI and machine learning models in production. InfoSun delivers it as capability you own, with domain experts governing and AI agents executing under human supervision, on the systems you already run.

How does InfoSun deliver AI & Machine Learning Deployment?+

Through one operating model, run with you rather than for you. It sits on the WMS, TMS, and ERP you already use. Supervised agents analyze, draft, recommend, and perform approved repetitive work; your people approve material decisions and own exceptions; and results are measured against a baseline agreed at the start.

How is AI & Machine Learning Deployment measured?+

On outcomes, not headcount: cost-to-serve, accuracy, cycle time, and service levels, reported on your own dashboards. A baseline is set in Discover so every improvement is measurable as AI and process changes compound.

What is intelligent automation?+

Intelligent automation is the combination of robotic process automation, AI, and machine learning to automate processes that involve both structured tasks and judgment. Unlike basic automation, it can read documents, make decisions, and handle exceptions. At InfoSun, experts govern the design and AI agents execute the work under supervision, so automation is accountable, not autonomous.

Part of InfoSun's Digital Transformation Services capability. Written and reviewed by the InfoSun operations team. Last updated July 15, 2026.

Why rent capacity when you can own your capability?

In a 30-minute assessment we map one high-cost workflow against your baseline and show the path to it.

30 minutes. Scoped to your operation. No obligation.

Request an Assessment