Arrayworks
Platform Proof Insights Company See TAP in Action
TAP by Arrayworks

Your organization isn’t too complex. Your software is too rigid.

Arrayworks builds a living model of how your organization actually operates: its people, processes, data, systems and rules, and turns that model into the software the organization runs on. That same operating model gives AI the context, permissions and human controls it needs to safely participate in real work.

See how it works See the proof
In production Florida Education Association, statewide across 120+ locals | 32 systems replaced by one | Selected over Salesforce and the category incumbents
The problem

Every enterprise system starts by asking you to be simpler than you are.

Standardize the process. Flatten the structure. Fit the template. Traditional software too often asks people to change how they work to accommodate the technology. But when technology works against the way people naturally operate, they adapt around it. The organization complies on paper, then routes around the system in practice. Spreadsheets appear. Side processes emerge. Institutional knowledge fills the gaps. The distance between the system and the human reality is where cost, risk and delay quietly accumulate.

Technology should meet the human, not force the human to meet the technology.

The workaround economy

Spreadsheets, side databases and institutional memory hold the real process together, invisible to every dashboard you own.

Change waits for a release cycle

A business rule changes today. The software catches up weeks or months later, after requirements, development, testing and deployment.

No operational truth

Leaders cannot see workload, exposure or what is coming due because the answer lives across systems, spreadsheets and people’s inboxes.

The Arrayworks approach

We model the organization you have.

People. Processes. Data. Systems. Rules. Most organizations maintain them in different places and reconcile the differences by hand. TAP connects them into one living model, a Digital Twin of the Organization, so the software, workflows, governance and AI above it share the same operating truth.

One living model
Digital Twin of the Organization

Every entity, relationship and rule connected once and kept current as the organization changes.

People
roles, teams, members
Processes
how work moves
Data
records, relationships, history
Systems
finance, payroll, CRM, line-of-business systems
Rules
policy, eligibility, contracts, obligations
Layer 04
Work and intelligence
The applications people use, the workflows they follow, the decisions leaders make and the AI that participates in the operation.
Layer 03
Governance
Permissions, business rules, approvals and audit history enforced as the work happens.
Layer 02
The Digital Twin
The living model that connects the organization. Change the model and the applications, workflows and controls that depend on it change with it.
Layer 01
Your operating reality
People, processes, data, systems and rules as they actually exist, including the variation and exceptions traditional systems struggle to represent.
The TAP platform

What changes when the model is operational.

The operating model becomes the foundation for how the organization changes, integrates and governs work.

Orchestration, not replacement

Coordinate work across the systems you already run and the AI models you choose. Modernize incrementally instead of rebuilding the enterprise first.

Business-configured. IT-governed.

The people closest to the operation can change workflows, rules and experiences while IT retains control of architecture, permissions and governance.

Explore the platform →
40%+
of agentic AI projects will be canceled

“Over 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls, according to Gartner, Inc.”

The model is only part of the problem. Enterprise AI also needs an operating environment: live business context, defined authority, human controls and a record of what happened. TAP already provides that layer.

Source: Gartner® press release, Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027, 25 June 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

Controlled · auditable · human-led

Enterprise AI needs more than a model. It needs a job description.

Given the operating model, AI can know what a case is, who owns it, what deadline applies, what information its role may access and what actions it may take. It can summarize, identify what is missing and recommend or execute the next permitted step, with a person in the loop wherever judgment or consequence requires one. Every action remains governed and auditable.

See governed AI on a real process
Context, not documents

AI works from the live operating model, not only from documents describing the business.

Scope, not open access

AI sees only the records, fields and actions permitted for the role it is performing.

Bounded authority, not open autonomy

AI can act only within the authority assigned to its role. Consequential decisions can require a person as an enforceable step in the process.

Proof of execution

Proven where complexity is real.

The Florida Education Association operates across a statewide environment with significant variation in organizational structure, membership and accounting. TAP provides one operating environment without forcing that complexity into a rigid template.

124K
members
32
systems unified
See how FEA runs statewide operations on TAP →
Where we started

Built in complexity. Designed to go beyond it.

Membership organizations gave TAP an unusually demanding proving ground: local autonomy, negotiated obligations, changing eligibility rules, complex financial structures, consequential deadlines and large-scale constituent operations. Those requirements shaped the platform. The operating model underneath is not specific to membership organizations.

Proven today

The operating platform for membership organizations

Unions, associations and workforce organizations operate with local variation, negotiated obligations, financial complexity and consequential member processes and services. TAP brings that operating reality into one governed environment.

Membership, dues and payment structures
Grievances, casework and representation
Organizing, communications and reporting
Built for more

A governed operating layer for enterprise AI and complex work

The Digital Twin is not specific to membership organizations. The same architecture can give AI the live context, permissions, workflow and authority required to participate safely in consequential enterprise processes.

Live operating context, not documents about the operation
Permissions, approvals and audit already in place
Authority to act on the record, not just advise on it
Model-agnostic: orchestrate the AI you choose
The complexity that made TAP necessary in membership organizations is the same complexity enterprise AI must learn to operate within.

Industry Recognition

Honorable Mention · Gartner® Magic Quadrant for Digital Twin of an Organization Platforms, 27 July 2026 A Representative Vendor · Gartner Market Guide for Enterprise Business Process Analysis Tools, 28 October 2025 A Representative Vendor · Gartner Market Guide for Digital Twin of an Organization Platforms, 20 November 2024

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

GARTNER is a registered trademark and service mark, and MAGIC QUADRANT is a registered trademark, of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

Protected approach

Issued U.S. patent 7,516,137, plus a growing trademark and trade-secret portfolio.

Production scale

Complex, consequential workflows running in production across a multi-entity environment.

Operators, not theorists

Built by a leadership team with experience designing, deploying and operating enterprise platforms.

Arrayworks Insights

A monthly perspective on operating in complexity.

All issues →
August 26, 2026
The Autonomous Age Has a Governance Problem

AI is moving from assisting people to acting for organizations. The advantage lies in governing, contextualizing and orchestrating that autonomy.

July 1, 2026
When Execution Stops Moving in a Straight Line

Complexity does not stay still. As systems take a more active role in execution, coordination becomes the hard part.

June 3, 2026
What Complexity Teaches

Labor organizations are not complex by accident. When technology ignores that, it creates friction rather than efficiency.

Bring us your hardest process.

The one with the deadlines, exceptions, workarounds and spreadsheet nobody admits to. We’ll show you what it looks like modeled and governed in TAP.

See TAP in Action
The Better Way
Arrayworks

TAP: model your organization as it actually operates, and run it that way.

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Contact
11 Portwalk Place
Portsmouth, NH 03801
508-261-1610 info@arrayworks.com
Arrayworks Insights

A monthly perspective on complexity, Digital Twins and governed AI.

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