financetom
Technology
financetom
/
Technology
/
Correction: As AI Agents Scale, Enterprises Demand Execution Control— Devenex Takes Control
News World Market Environment Technology Personal Finance Politics Retail Business Economy Cryptocurrency Forex Stocks Market Commodities
Correction: As AI Agents Scale, Enterprises Demand Execution Control— Devenex Takes Control
Jun 4, 2026 3:03 PM

Las Vegas, USA, June 04, 2026 (GLOBE NEWSWIRE) -- Inside the world’s largest organisations, AI agents are no longer experimental. They are executing in production — modifying financial records, triggering payments, approving workflows, and acting with the full operational authority of the enterprises that deployed them. By every credible estimate, the volume and consequence of these actions will increase by an order of magnitude within 24 months.

Image: https://ml.globenewswire.com/Resource/Download/e0b08133-0155-4d01-b55c-8553180bfcd4/devenex-pr-hires-format-jpg.jpeg

Yet no infrastructure layer exists to govern what these agents actually do. No systematic policy enforcement before action. No immutable audit trail after. No deterministic control between an agent’s intent and its real-world consequence. The most consequential technology shift in enterprise history is unfolding without an accountability layer.

Today, that changes. Devenex — the Execution Control Plane for AI agents — launches at Google Cloud Next 2026, introducing enterprise-grade governance infrastructure that sits between agent intent and real-world execution. Every action is policy-evaluated, explicitly authorised, identity-bound, and recorded as audit-grade evidence — before it takes effect, giving new life to enterprise AI initiatives.

Devenex is not a monitoring tool. It is not a workflow engine. It is the control plane that ensures no AI-initiated action executes without governance — giving CIOs, CTOs, CROs and enterprise security leaders the confidence to deploy agents at scale without sacrificing accountability.

THE STRUCTURAL GAP

Analyst consensus has converged on a single conclusion: enterprise AI execution capability is outpacing the controls designed to keep it accountable.

Gartner projects that by 2028, a third of enterprise software will incorporate agentic AI — up from less than one percent in 2024. McKinsey identifies governance and risk as the primary barriers to scaling enterprise AI, ahead of model quality or talent. Deloitte’s 2026 enterprise survey finds that 80 percent of leaders piloting AI agents cite security and compliance as the leading obstacle — up from 68 percent a year earlier.

The pattern is consistent across every credible source: enterprises are deploying agents faster than they can govern them. An AI agent that modifies a customer record, approves a discount, or initiates a wire transfer without a governing policy layer is not automation. It is an unmanaged compliance event, a latent security exposure, and a board-level liability.

Devenex addresses this gap at the infrastructure level — not as a feature bolted onto existing tools, but as a purpose-built control plane designed for governed enterprise execution from the ground up.

THE EXECUTION CONTROL PLANE

Devenex operates as the authorisation and governance layer between enterprise decision-making — whether initiated by humans, AI agents, or automated systems — and the execution of actions across enterprise systems of record.

Every action processed through Devenex produces four structured artifacts:

Intent Record.  

Execution Plan.  

Governed Execution.  

Execution Evidence.  

This model ensures that enterprises maintain full traceability from intent to outcome — satisfying EU AI Act, SOC 2, ISO 42001, and sector-specific regulatory requirements.

ENTERPRISE CAPABILITIES

Pre-Execution Policy Enforcement.  Every agent action is evaluated against organizational policy before execution. Nothing executes unchecked. Enterprises gain control over what agents are permitted to do — reducing compliance risk and eliminating ungoverned action.

Dynamic Human-in-the-Loop Governance.  High-consequence actions are routed to designated reviewers without halting low-risk automation. Approval workflows are configurable at the agent, action, or policy level — ensuring human oversight where it matters without creating operational bottlenecks.

Immutable Audit Infrastructure.  Every governed execution is recorded to an append-only ledger. Enterprises gain continuous compliance evidence without manual reporting.

Unified Observability Across Agents.  Live and retrospective visibility into agent activity, policy adherence, and anomaly patterns. Security, compliance, and operations teams share a single authoritative view of enterprise execution.

BUILT FOR ENTERPRISE REALITY

Devenex delivers flexible deployment models—SaaS, hybrid, and self-deployed—enabling organizations to adopt at their own pace.

Engineered to be framework-agnostic and cloud-native, Devenex integrates seamlessly across diverse enterprise environments. The platform does not replace existing systems of record, integration platforms, or identity providers. It governs execution across them.

LEADERSHIP

“For four decades, Abacus has earned the trust of enterprises navigating their most consequential technology transitions. Devenex represents the next chapter — purpose-built infrastructure for a world where AI agents execute with the authority of the organisations that deploy them. Governance at this layer is not optional. It is a precondition for enterprise AI at scale.”

— Aly Kuly Khan

Co-Founder & Chairman, Devenex 

"For four decades, we've built the layers enterprises run on — systems of record, integration, workflow automation, API and iPaaS governance. Each wave solved the problem the previous one created. Today, AI agents are executing actions on architecture that was never designed to govern them. This isn't an AI problem. It's an architectural gap — and it's the one our experience has prepared us to solve. Enterprises cannot answer four questions about any agentic action: who authorized it, what policy governed it, why it executed as it did, and whether they can prove it after the fact. In regulated environments, these aren't edge cases — they're the baseline. Devenex is the execution control plane that answers all four, by design, at execution time."

— Shoaib A. Khan

Co-Founder & CEO, Devenex 

AVAILABILITY & ENGAGEMENT

Devenex is available immediately, with deployment support from Abacus teams across the globe. 

Enterprise pilot programmes are open to qualified organisations seeking to bring governed execution to production AI workloads.

Learn more at www.Devenex.com

THE ROAD AHEAD

Enterprise AI is entering its execution era. The question is no longer whether agents can act — it is whether they can act accountably. The organisations that solve this first will scale AI faster, operate with greater confidence, and carry less risk than those that treat governance as a downstream problem.

Devenex exists to make governed execution the default operating model of the enterprise. Not as an aspiration. As infrastructure.

About Devenex

Devenex is the Execution Control Plane for AI agents — enterprise infrastructure that governs every action across systems with policy enforcement, explicit authorisation, and audit-grade evidence. Built for the agentic era, Devenex sits between intent and execution so that no enterprise action moves forward ungoverned. Devenex is built by the team behind Abacus, bringing four decades of enterprise trust to AI execution governance.

About Abacus

Abacus is a global professional services leader in technology, outsourcing, and people solutions. With nearly 40 years of experience, 5,000+ professionals across four continents, and 1,500+ enterprise clients, Abacus designs bespoke solutions that enable organisations to create the future of business and embrace change for sustainable growth.

Image: https://www.globenewswire.com/newsroom/ti?nf=OTczMjI1MiM3NjM3NzYzIzUwMDE2MzUyNw==

Image: https://ml.globenewswire.com/media/ZDQwNWQyMjgtZGI0Mi00NzAyLWEwZGEtOWU5ZGEwNWQ0YzM2LTUwMDE2MzUyNy0yMDI2LTA2LTA0LWVu/tiny/Devenex.png Devenex

www.devenex.com

Shoaib Khan

[email protected]

+1 (347) 701-4221

Source: Devenex

Comments
Welcome to financetom comments! Please keep conversations courteous and on-topic. To fosterproductive and respectful conversations, you may see comments from our Community Managers.
Sign up to post
Sort by
Show More Comments
Related Articles >
SAP sees higher operating profit in 2025
SAP sees higher operating profit in 2025
Jan 27, 2025
Jan 28 (Reuters) - SAP, Europe's largest software maker, said on Tuesday it was more optimistic about its financial results this year due to accelerating growth in revenue form cloud computing. The group said it expects operating profit, on a constant currency basis, to rise 26% to 30% in 2025 to between 10.3 billion euros and 10.6 billion euros ($10.75...
American AI firms try to poke holes in disruptive DeepSeek
American AI firms try to poke holes in disruptive DeepSeek
Jan 27, 2025
* Top US AI labs analyze DeepSeek's low-cost models * Snowflake adds DeepSeek models amid customer demand * DeepSeek likely spent more than widely reported $6 million figure, experts say By Kenrick Cai, Anna Tong and Jeffrey Dastin SAN FRANCISCO, Jan 28 - Developers at leading U.S. AI firms are praising the DeepSeek AI models that have leapt into prominence...
American AI firms try to poke holes in disruptive DeepSeek
American AI firms try to poke holes in disruptive DeepSeek
Jan 27, 2025
SAN FRANCISCO - Developers at leading U.S. AI firms are praising the DeepSeek AI models that have leapt into prominence while also trying to poke holes in the notion that their multi-billion dollar technology has been bested by a Chinese newcomer's low-cost alternative. Chinese startup DeepSeek on Monday sparked a stock selloff and its free AI assistant overtook OpenAI's ChatGPT...
Nvidia Says DeepSeek An 'Illustration' Of How New AI Models Can Be Created While Being Export-Control Compliant Amid $600 Billion Market Value Plunge
Nvidia Says DeepSeek An 'Illustration' Of How New AI Models Can Be Created While Being Export-Control Compliant Amid $600 Billion Market Value Plunge
Jan 27, 2025
Nvidia Corp. ( NVDA ) has acknowledged China’s DeepSeek R1 artificial intelligence model. The startup’s emergence coincided with a $600 billion decline in Nvidia’s market value on Monday. What Happened: The endorsement came as DeepSeek’s open-source AI model, developed for under $6 million, reportedly outperformed leading U.S. models like those from OpenAI. The achievement sparked a broader tech selloff, with...
Copyright 2023-2026 - www.financetom.com All Rights Reserved