Solutions

We solve the problems
blocking your AI initiative.

Every engagement starts with your specific constraint—not a predefined service. These are the four problem patterns we see most consistently across enterprise environments. Most engagements touch more than one.

Solution 01

AI Data Readiness Assessment

Before your AI initiative stalls—or worse, fails publicly—you need to know where your actual risk surface lives. Not where your architecture diagrams say it should be. Where it actually is.

We map governance gaps, access control failures, data lineage blind spots, and integration fragility. The output is a prioritized risk register the CFO and risk team can attach to, paired with a sequenced remediation plan that respects what's already in flight.

Delivered in weeks, not quarters
Quantified risk framing for executive audiences
Works inside existing ERP & platform transformation programs
Who needs this
AI mandate from the board, but data team says it'll take 18 months to get ready
New exec inheriting a legacy data environment without clear lineage or governance
Regulatory expansion into a new market requiring demonstrable data compliance
ERP or cloud consolidation exposing coordination gaps previously papered over by people
Solution 02

Data Governance & Compliance Execution

The phrase that lands with every CIO we've talked to: moving governance from reporting to real-time control.

Governance that lives in a spreadsheet isn't governance—it's documentation of what you hope is happening. We implement policy that enforces itself at the data layer: access decisions governed by identity and context, audit trails that exist because the system generates them, compliance that's demonstrable because it's built in.

Policy enforced at runtime, not audited after the fact
Canonical data model that technical leaders understand without feeling threatened
Automated compliance reduces manual risk and eliminates unauthorized access
Delivered outcomes
Phase 3
Homestar Financial — identity-based data access for full compliance and faster decision-making
Eliminated
Unauthorized data access through automated governance of access management controls
Solution 03

Identity & Access Automation

Identity-based data access that governs itself. When a user's role changes, their data access changes with it—automatically, at the policy layer, without a ticket.

We've compressed provisioning cycles that used to take weeks down to hours. The ABAC Manager—built on our foundational patent portfolio—makes attribute-based access control practical in real enterprise environments, not just in architecture diagrams.

Attribute-based access control (ABAC) in production
Provisioning time from weeks to hours
Compliant, personalized data views for every role
The ABAC Manager

Production-ready identity and access management system built on PrivOps' patent-protected architecture. Not a framework. Not a starter kit. A system that works in real enterprise environments with legacy IAM, heterogeneous cloud, and regulatory constraints.

US Patent 10,992,535 →
Solution 04

Legacy Modernization Without the Rip-and-Replace

The hardest thing to say in a modernization engagement: touch existing technical debt as little as possible. Most consultants get paid to propose bigger projects. We get paid to deliver outcomes.

The Matrix Integration Fabric sits above your current systems—Oracle, SAP, homegrown data marts—and makes them AI-ready without a multi-year replatforming program. New coordination layer. Existing systems stay where they are.

Coordination layer above existing systems, not a replacement
Data on demand: extract and process only what you need, when you need it
Cloud-agnostic: no vendor lock-in, works with any tooling stack
Real numbers
4 yrs → 5 wks
Integration rebuild time, financial services engagement
>90%
Reduction in cloud data spend — 90–95% of data never touched until needed
1–2 days
New integration delivery time vs. months previously
The Technology

The Matrix Integration Fabric

A composable, real-time orchestration and governance system for data, applications, and infrastructure. Built on patent-protected architecture. Production-ready. Cited by Amazon, Microsoft, and Salesforce.

Runtime Policy
Policy enforced during execution, not audited after
Cloud-Agnostic
Works with any data and AI tooling stack
On-Demand Data
Extract only what you need, when you need it
AI-Ready
Integration that's both programmable and executable
Start Here

Not sure which problem to start with?

That's what the discovery call is for. We'll listen to your environment first and tell you where we think we can move the needle fastest.

Schedule a Discovery Call