UiPath, Inc. (NYSE: PATH) Founder and CEO Daniel Dines announced the release of The Work That Remains, a new book providing a framework for orchestrating AI agents and automation while preserving human judgment.

The publication targets business and technology leaders navigating the shift toward agentic enterprises. Dines argues that the critical challenge is not merely deploying powerful models but building governed execution rails that coordinate work across agents, people, and applications.

The Agentic Enterprise Model

Dines outlines a three-tier operating model for the modern enterprise. Agents interpret context, investigate, plan, and prepare work. People remain accountable for decisions involving consequence, trust, and institutional commitment. Deterministic automation executes approved actions that must be reliable, repeatable, and auditable.

The book posits that the next phase of enterprise AI will be defined by an organization's ability to build a governed map of how work happens. This structure allows companies to move from isolated pilots to production systems that deliver measurable, governed outcomes.

Key Themes from the Book

Dines highlights several counterintuitive findings from production environments:

• Reversed Complexity: While agents were expected to be the fast path, they stall at points of consequence without a map and gate. Conversely, deterministic automation has become easier as models now write and repair code efficiently, collapsing maintenance costs.
• Talent Density: As routine throughput moves to machines, the remaining human layer becomes denser. Roles shift toward mentorship, culture-keeping, and customer trust. Mediocre hires cost more, while excellent ones compound value further.
• Orchestration Over Procurement: The real project of enterprise AI is producing a governed description of how the business works (the map) and the machinery that executes stable parts (the rails).

Availability

The Work That Remains is available as a digital download starting August 18. A limited print release follows on September 22. The book aims to serve as an accessible guide for leaders seeking to make sense of the rapidly changing AI landscape.

Banco Azteca has scaled its automation program to orchestrate more than 8,800 enterprise processes using UiPath Maestro. The Mexican financial institution deployed 300 production automations to coordinate people, AI agents, and systems across its operations.

Enterprise-Scale Orchestration

UiPath (NYSE: PATH) announced that Banco Azteca transformed its automation strategy by moving from individual task automation to end-to-end business process orchestration. The bank leverages a single, governed operating model to manage complex workflows involving third-party partners and internal teams.

Since launching its automation journey in 2020, Banco Azteca established an internal AI and robotic process automation Center of Excellence. Led by over 20 developers, business analysts, and data scientists under the executive sponsorship of Manuel Delgado Forey, Chief Operating Officer and Head of Customer Service, the program is now one of Latin America’s most mature.

Operational Impact

The orchestrated workflow covers critical functions including compliance, fraud prevention, legal, procurement, HR, customer service, and social media. The deployment of these automations is equivalent to the output of over 3,300 full-time employees, allowing staff to focus on higher-value work while handling growing workloads.

A flagship application involves Elektra’s post-sales operations for elektra.mx, the retail e-commerce site of Group Elektra (Banco Azteca’s parent company). The system manages cancellation, delivery, and order-related requests by processing communications, framing outreach to sellers, monitoring responses, and prioritizing cases. Exceptions are routed to employees only when human judgment is required, significantly accelerating customer resolution times.

What the Numbers Show

The scale of automation indicates a significant shift in operational leverage. With 300 distinct automations driving the coordination of 8,800 processes, each automation averages approximately 29 processes. This high ratio suggests that UiPath Maestro enables the bank to manage complex, multi-step workflows rather than simple, linear tasks, maximizing the utility of each automated bot.

Future Roadmap

Banco Azteca plans to extend this operating model into anti-money laundering initiatives and intelligent ATM monitoring. These efforts aim to optimize cash distribution based on customer demand, continuing the transition from executing individual tasks to building a scalable framework for coordinated enterprise-wide operations.

Ben Fiechtner, President of Americas & Strategic International Markets at UiPath, noted that moving from individual automations to a fully orchestrated model unlocks speed and capacity at scale.