The journey

From first conversation to running it yourself

Seven stages, one managed cloud run by Fusion5. Typical elapsed time: two to four weeks. Your internal approvals set the pace, not the technical work.

What you bring

Three things from your side

Your AI account

You create it, hold the billing relationship and set your own spending limits. The model is always yours.

A JD Edwards administrator

Someone who can set up sign-in on the JD Edwards side and map your people to their JD Edwards users.

A read-only platform user

One system user that can look people up and test the connection. It never acts for a person and never writes.

Typical elapsed time is two to four weeks. Approvals set the pace.

Stage by stage

Who does what, and what comes out

Stage 1 of 7

Discover

Start with your hardest JD Edwards workflow.

A conversation and a live demonstration

Who is involved

  • Project owner
  • IT
  • JD Edwards lead
  • Fusion5 Digital Workforce team

You bring

  • A candidate workflow, the harder the better
  • Someone who owns it

We do

  • Show the platform working on a demonstration estate
  • Map who the workflow runs as, what it reads and writes, and how it is proven

Outcome: A use case with an owner, a value case and a first view of risk.

Stage 2 of 7

Prove

A proof of concept in a non-production environment.

Agreed with you at the start

Who is involved

  • Project owner
  • JD Edwards administrator
  • Fusion5 onboarding engineer and builders

You bring

  • A non-production JD Edwards environment
  • Two simple use cases to try

We do

  • Install the platform and set up the environment
  • Deliver the two use cases in non-production
  • Follow with a three-month subscription trial if you want one

Outcome: Value shown on real work before any production commitment.

Stage 3 of 7

Decide and plan

Agree the decisions and return the information pack.

Kick-off on day one, information pack back by day three

Who is involved

  • Project owner
  • IT administrator
  • Fusion5 onboarding engineer

You bring

  • Your choice of AI route, with Anthropic directly or AWS Bedrock as options
  • Your organisation details, region and target go-live
  • Your JD Edwards version and tools release

We do

  • Run the kick-off and issue the onboarding guide
  • Record each decision against your information pack

Outcome: Decisions recorded and the information pack returned.

Stage 4 of 7

Connect

Single sign-on, connectivity and JD Edwards set-up.

About days three to seven, with approvals the main variable

Who is involved

  • Entra ID administrator
  • Network team
  • JD Edwards administrator
  • Fusion5 onboarding engineer

You bring

  • Single sign-on approval in your own identity system
  • Network agreement for the connection
  • A JD Edwards administrator session, booked on day one

We do

  • Provision your dedicated environment in its own Azure subscription
  • Test the connection and verify it end to end

Outcome: People sign in with their corporate accounts, and questions reach JD Edwards as the person asking.

Stage 5 of 7

Configure and teach

Your AI account, knowledge and JDE-IQ on a pilot module.

From about day six, with knowledge loading continuing after

Who is involved

  • Project owner
  • IT
  • JD Edwards administrator
  • Fusion5 onboarding engineer

You bring

  • Your AI account connected to the platform
  • Optionally your own documents
  • A pilot module and pilot users

We do

  • Load the knowledge base and run discovery so JDE-IQ learns your estate
  • Switch JDE-IQ on for one pilot module
  • Set up branding, access and first assistants, with Academy training

Outcome: Answers use your own tables and codes, and the pilot module is ready.

Stage 6 of 7

Go live

A validation walkthrough with every line seen by you.

A validation walkthrough on a call, around day seven

Who is involved

  • Project owner
  • JD Edwards administrator
  • IT
  • Security and compliance reviewers
  • Fusion5 onboarding engineer

You bring

  • A named operational owner and escalation path
  • A spending limit set with your AI provider

We do

  • Walk through every validation line with you
  • Prove that two people with different JD Edwards security get different results
  • Hand over to your pilot users, with admin surfaces and support contacts

Outcome: A signed-off go-live.

Stage 7 of 7

Grow and operate

Your people build more, we run the platform.

Ongoing

Who is involved

  • Your builders and administrators
  • Fusion5 operations

You bring

  • People to build assistants, agents and skills
  • A weekly check on each agent, by its owner

We do

  • Host, monitor and update the platform on a published cadence
  • Give notice before anything changes behaviour
  • Support to the contracted level

Outcome: Your team builds more without code, and Fusion5 runs the platform.

Start with a proof of concept

Bring your hardest JD Edwards workflow and try it in a non-production environment.

Start a proof of concept   See how a conversation works