Keep humans in control of your ERP's AI.
Every agent action, a named kill-switch.
Shadow AI is happening in your organization right now. Regulators expect a structured program. Your next audit will ask about it. WorkStream Technology delivers the complete NIST AI RMF-aligned program — 12 build phases, 10 sustain tools, browser-native DLP — that takes you from zero to 90%+ maturity and full audit readiness.
12
Build phases
10
Sustain tools
4
NIST AI RMF stages
90%+
Full maturity target
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AI Governance for ERP Transformation
See how WorkStream Technology and APEX AI Guardrails deliver governed AI across your entire ERP lifecycle.
The Problem
AI adoption outpaced governance. You're exposed.
Every organization has this problem. Almost none have a structured answer. Here's what's actually happening:
Shadow AI is already happening
Your staff are pasting sensitive ERP data — payroll, HR, financials — into ChatGPT, Copilot, and Gemini right now. You can't see it, and you can't stop it.
Regulators expect a program, not tools
NIST AI RMF, ISO 42001, and state AI mandates require a structured governance program. "We have some tools" is not an answer your auditor will accept.
Your next audit will ask about AI
AI governance is now a line item in IT, privacy, and security audits. Without a documented program, you face findings, rework, and exposure.
ERP data is most at risk during transformation
During migration, your most sensitive data is in motion — and flowing into AI assistants. That's exactly when exfiltration and compliance failures happen.
What You Get
One program. Complete coverage.
Not a collection of tools. A structured, sequenced program with per-action control posture governance — in-the-loop, on-the-loop, or audit-after for every AI agent action, with kill-switches built into your ERP — right-sized to your team's capacity.
Browser-native AI DLP
Blocks sensitive data before it reaches any AI tool — ChatGPT, Copilot, Gemini, Claude. No agents, no proxies, deploys in minutes.
12-phase build track
From governance charter to NIST AI RMF closure — every phase has an owner, exit criteria, and a human sign-off gate.
AI system inventory
Every AI tool your staff uses — authorized or shadow — discovered, classified, and risk-tiered.
Privacy Impact Assessments
PIAs generated for every AI system that touches personal data, ready for your privacy officer and regulators.
Vendor risk evaluation
Every third-party AI vendor scored against a risk rubric, with remediation plans for high-risk providers.
Decision authority register
Every human sign-off — approve, return, override — logged as a durable accountability trail for auditors.
The ERP Governance Lifecycle
Governance mapped to your ERP engagement.
This isn't a generic governance toolkit bolted onto an ERP project. It's structured around the four phases of a WorkStream Technology engagement — so governance happens with the work, not after it.
Scoping & Data Planning
Before any consultant touches data, we score migration risks and generate the required Privacy Impact Assessment.
Outcome: Risk-scored engagement with PIA filed
Build & Migration
Deploy the AI usage policy, then enforce it — GuardRail blocks sensitive data from reaching public AI on every workstation.
Outcome: Zero sensitive data exfiltration during build
Go-Live & Cutover
Map every embedded AI agent action to a control posture — human-in-the-loop, human-on-the-loop, or audit-after. For each action, build the kill switch into the ERP during the transformation (select the mechanism, document the exact configuration, and verify it works), assign a kill-switch owner, and rate the risk. The client signs off on each residual risk. Cutover does not proceed until every action is accepted and its kill switch is built and verified. Then verify data residency and deliver the evidence package.
Outcome: Signed Go-Live Baseline + audit-ready compliance package at cutover
AMS & Sustain
Plan for AI incidents in production, track remediation across every release cycle — structured, accountable, audit-ready.
Outcome: Ongoing governance with full traceability
The Tools
22 tools. One program.
Every tool below is included. Each one produces an artifact, a decision, or evidence that feeds the next phase. Not templates — working tools that generate real outputs.
Build Track · 12 phases → 62% maturity
Authorize & Baseline
Establish Governance Charter
Authorize the program, define the AI governance committee, and ratify decision-making authority.
Baseline Readiness Assessment
Run the readiness scorecard to baseline current state against NIST AI RMF / ISO 42001 before any artifacts are built. The gap analysis identifies priority domains and justifies the build plan that follows.
Inventory Known AI Systems
Survey known and suspected AI tools across all departments via staff self-report and IT review. Establishes the baseline the charter and policy reference.
Set the Rules
Author Acceptable-Use Policy
Draft the AI Acceptable Use Policy that staff will sign and vendors will be held to, informed by the baseline inventory.
Train Staff on AI Policy
Deploy role-specific training modules; track completion across all staff.
Protect & Assess Risk
Deploy AI DLP to Endpoints
Install the browser extension on all staff workstations to block CUI/sensitive data exfiltration. Block events feed back into the inventory to surface shadow AI.
Build Risk Assessment Matrix
Map AI use cases to risk tiers and define required controls per tier, using the readiness baseline and the system inventory.
Evaluate Third-Party AI Vendors
Assess every authorized AI vendor against the vendor risk rubric.
Generate Privacy Impact Assessments
Produce PIAs for every AI system that touches personal data.
Build AI Incident Response Plan
Define AI-specific incident scenarios, roles, and escalation paths.
Disclose & Close Gaps
Publish Transparency Report
Generate and publish the annual public AI transparency report.
Close NIST AI RMF Gaps
Work the NIST AI RMF implementation checklist to close gaps identified by the baseline assessment and risk matrix.
Sustain Track · 10 tools → 90%+ maturity
Define AI Performance Metrics
Define and track accuracy, drift, fairness, and robustness metrics for every AI system on a fixed cadence.
Run Performance Test Plans
Document accuracy, robustness, edge-case, and adversarial test plans with pass/fail governance decisions.
Intake AI Feedback
Capture and triage staff and citizen reports of AI performance, bias, safety, and usability issues.
Maintain AI Model Registry
Track model lifecycle: version, deployment status, owner, risk tier, and decommission dates.
Log AI Changes
Document model, policy, and config changes with approval and rollback plans.
Track Corrective Actions
Track remediation from audits, incidents, and scorecard gaps through to closure.
Generate Incident Disclosures
Produce regulator, public, oversight, and board disclosures for AI incidents.
Track Stakeholder Engagement
Log public comment, community meetings, and oversight reviews.
Capture Lessons Learned
Document near-misses and best practices for organizational knowledge sharing.
Maintain Decision Authority Register
Capture every per-action control posture approval, override, and rejection across your governance tools as a durable accountability trail.
Where You End Up
90%+ maturity. Audit-ready.
The 12 build phases get you to a defensible foundation. The 10 sustain tools keep you there. Here's what "done" looks like:
Build My Program Plan- 90%+ NIST AI RMF maturity — defensible and documented
- Every AI system inventoried, classified, and risk-tiered
- Staff trained on acceptable AI use — completion tracked
- All third-party AI vendors assessed with remediation plans
- PIAs complete for every in-scope AI system
- AI incident response plan tested via tabletop exercise
- Public transparency report published and board-briefed
- Audit-ready evidence at every phase — no scrambling
How It Works
Three steps to a governed AI program
Opt in
Share your organization details and team capacity. Takes two minutes — no obligation.
Build your plan
Our wizard generates a right-sized program with phase dates, committee roles, and a guided path.
Run the program
Work through 12 build phases and 10 sustain tools with per-action control posture governance — kill-switches built into your ERP, every agent action accepted before cutover.
The Team Behind the Program
WorkStream Technology
For more than 20 years, WorkStream Technology has supported large organizations through the hardest stretch of enterprise ERP: the years when legacy systems still need to run while a cloud platform is being deployed. They are PeopleSoft, Workday, and Oracle Fusion experts — Oracle Certified and a certified Workday AMS partner — delivering implementations and upgrades across all three platforms.
They know your data — the payroll tables, the HR records, the financials that flow through your ERP. That's why they're the ones delivering this program: they understand exactly what's at risk when that data starts flowing into AI tools, and they've built the governance structure to protect it.
Visit WorkStream Technology20+
Years of ERP experience
3
ERP platforms: Workday, PeopleSoft, Oracle Fusion
97
PeopleSoft upgrades delivered
2,000+
Employees at typical client
Who they serve
Healthcare Systems
Hospital networks and health systems with complex HR, payroll, and regulatory requirements.
State & Local Government
Public-sector organizations with union pay structures and intricate payroll calculations.
Higher Education
Universities and college systems managing HR, Finance, and Student data across campuses.
Stop guessing. Start governing.
Opt in and build a right-sized program plan in minutes. 12 phases. 10 sustain tools. Zero to 90%+ NIST AI RMF maturity — delivered by WorkStream Technology.