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Service Management use case

Incremental digital transformation platform

Incremental digital transformation improves one process at a time on top of the ERP, HR and service systems you already run, instead of betting on a multi-year replacement. Each process gets a modern portal and workflow, and each reuses the connections built for the last. USDA built its proof of concept in four days and now automates over 75% of its service functions.

USDA Proof of concept in 4 days on existing systems; now automates more than 75% of business and service functions. Read the USDA case study

How each process gets modernized

  1. Experience layer

    New portals and forms released one process at a time, sharing one look, one sign-in and one place to track requests.

  2. Workflow layer

    Each modernized process runs as a Kinetic workflow with approvals, deadlines and visible status, reusing the connections and building blocks of the processes before it.

  3. Integration layer

    Connects to SAP, Oracle, Workday, ServiceNow and Salesforce through their APIs, once. Each new process reuses the connections the last one built.

    • SAP
    • Oracle
    • Workday
    • ServiceNow
    • Salesforce

AI in digital transformation

AI drafts forms and workflows from process descriptions through MCP; your team reviews them before anything goes live. Running workflows follow their defined steps.

What AI does

  • Generates first drafts of forms and workflows from process descriptions
  • Summarizes requests and cases for staff
  • Classifies incoming work to the right process

Decided by people, not by AI

  • Each workflow before it goes live
  • Consequential decisions within each process
  • Changes to systems of record

Big programs, slow returns

Many transformation programs are organized around a replacement: a new ERP, a new service platform, a new case system. They take years. Users see nothing until cutover, the scope shrinks as the budget is spent, and the processes people complain about most are often not in the first release.

Doing nothing isn’t an option either. Requests still run on email and spreadsheets, and every year the systems underneath are a little harder to change.

One process at a time

The other approach is to leave the systems of record in place and change how work moves across them, one process at a time.

  1. Pick a process people feel. Onboarding, service requests, a permit, a recurring approval. High volume, several systems, visible pain.
  2. Connect the systems it touches. Through their APIs or databases. Nothing is migrated.
  3. Give users one front door for it. A portal and forms, with status they can see. AI can draft the first version from a process description; your team reviews and adjusts it.
  4. Measure, then pick the next one. The second process reuses the connections, the sign-in, the portal and often half of the workflow. That is where the program speeds up.

Each release is small enough to ship in weeks and visible enough that people notice.

What it looks like in practice

USDA’s National Information Technology Center started with server provisioning, which took three weeks. The proof of concept took four days, and the production rollout brought provisioning down to 30 minutes. From there the center expanded the same model until more than 75% of its business and service functions ran through automated workflows. Read the USDA case study.

Fairfax County Public Schools started with a single IT catalog in front of BMC Remedy for 200+ schools and offices, and later doubled the catalog. Read the FCPS case study.

What it doesn’t replace

Kinetic doesn’t replace your ERP, HR or case systems, and it isn’t a reason to stop planning their eventual upgrades. It means those upgrades stop being the only way to improve how work gets done. When a back-end system is replaced later, the processes built on Kinetic are reconnected to the new one; see legacy modernization. Organizations that run shared services across HR, IT, finance and facilities often take this approach to global business services. The platform overview explains the three layers.

Questions about digital transformation

Answered by Kinetic Data. Last updated .

  • Where should we start?

    With one high-volume process that crosses several systems and frustrates the people who use it. It proves the approach quickly, and its connections are reused by the next process.

  • How does AI fit into the program?

    Mostly at build time. Through Kinetic's MCP server, AI can draft forms, portals and workflows from a process description, which your team reviews and adjusts. Inside running processes, AI handles steps like classification and summaries, using the model you choose.

  • Who builds and maintains the processes?

    Usually a small internal team, sometimes with a partner for the first few. Workflows are configured in Kinetic rather than coded into each system, so changing a process doesn't mean a change request against the ERP.

  • How do we keep a growing number of processes consistent?

    Processes share building blocks: the same sign-in, portal, connections and approval patterns. A change to a shared block, such as a new SSO provider or an updated approval rule, reaches every process that uses it.

Bring one process. Leave with a plan to build it.

Two hours with our team, at no cost. Bring one process that crosses your systems. We map it with you, show what Kinetic would build, and send you a written plan afterward.