Techaisle Blog

The narrative surrounding Artificial Intelligence in the workplace is undergoing a seismic shift. For the past several years, the conversation has been dominated by assistive AI—tools that could listen, transcribe, and summarize, acting as diligent but passive scribes. At its WebexOne 2025 event, Cisco signaled the definitive end of that era and the dawn of a new one: the age of Agentic AI. This is not merely an evolution; it is a re-imagining of AI's role from a helpful assistant to a proactive, autonomous "agentic teammate". While the scale of this vision is enterprise-grade, Techaisle analysis indicates that its most profound impact may be felt within the midmarket, where the automation of complex workflows is not a luxury, but a critical engine for growth and competitive advantage.

From Passive Assistance to Proactive Action

Cisco’s core message was a move "from this kind of notion of chat bots that intelligently answered our questions to agents that are going to conduct tasks and jobs almost fully autonomously on our behalf". This transition is the central pillar of its “Connected Intelligence” vision and is embodied by the introduction of five new AI Agents for the Webex Suite. These agents are designed to move beyond reporting on what happened in a meeting to actively participating in the work that follows.

• The Notetaker Agent: This agent captures summaries and action items from in-person conversations using the Webex app or a Cisco device.
• The Polling Agent: It contextually listens to meeting conversations and proactively suggests live polls to gauge team sentiment or gather immediate feedback, eliminating the friction of creating them manually.
• The Task Agent: Going beyond listing action items, this agent can be delegated to complete them—for example, by automatically creating a Jira ticket based on a technical discussion.
• The Meeting Scheduler Agent: This agent intelligently identifies the need for a follow-up, finds a suitable time for all required participants, and even drafts an agenda based on the prior conversation’s context.
• The Receptionist Agent: Leveraging technology from its Contact Center portfolio, this voice-enabled agent can handle routine inbound calls, answer queries, and route customers, acting as an AI-powered automated attendant for Webex Calling.

The Midmarket Perspective: A Productivity Force Multiplier

In a rapidly evolving IT landscape, where complexity is the new constant, technology vendors face immense pressure to deliver not just products, but cohesive and integrated strategies that address real-world business challenges. SUSE recently provided the analyst community with its "State of the Nation" update, offering a detailed look into its strategy, recent momentum, and future direction. The briefing reinforced SUSE's commitment to a four-pillar strategy, with a sharpened focus on integration and addressing critical market imperatives, including AI-driven operations, pragmatic modernization, and digital sovereignty.

At Techaisle, we see this as a pivotal move. SUSE is framing its value proposition not as a collection of open-source components, but as a unified blueprint designed to empower enterprises to innovate anywhere—from the datacenter to the cloud and the far edge—with choice and confidence.

The Four Pillars: An Integrated Stack, Not a Siloed Portfolio

SUSE's strategy is built on four interconnected pillars: Business-Critical Linux, Enterprise Cloud Native, Edge, and AI. While these pillars represent distinct technology domains, the real insight lies in how SUSE is architecting them as a synergistic stack designed to run anywhere, from developer environments to datacenters, the cloud, branch offices, and the edge.

The global conversation around Artificial Intelligence is often dominated by the sheer horsepower of GPUs and the expansive promise of public cloud. While the market remains captivated by the meteoric rise of companies selling AI infrastructure, a quieter, more intricate strategy is unfolding - one that intertwines silicon, hardware, software, and a collaborative go-to-market (GTM) engine to tackle the foundational bottleneck in AI adoption: enterprise-grade infrastructure.

It is clear to me that IBM is architecting a sophisticated partnership playbook that moves far beyond traditional alliances. This is not just about co-marketing or creating reference architectures. On the contrary, it is a deeply integrated, three-way GTM model designed to deliver holistic AI solutions. This strategy uniquely positions IBM to address complex customer needs in a way that pure-play cloud providers or hardware-only vendors cannot. It is a story that has been flying under the radar, but one that the entire technology ecosystem needs to understand.

Beyond Reference Architectures: The 360-Degree Partnership Philosophy

At the heart of IBM's approach is the recognition that its strategic imperatives of AI and hybrid cloud are impossible to achieve without a robust ecosystem of partners. This strategy begins with a core group of strategic technology partners, with collaborations centered on technology leaders like  AMD, Broadcom, Dell Technologies, Intel, Lenovo, NetApp, and NVIDIA. The logic is simple yet profound: every AI solution is ultimately deployed on a server, powered by GPUs, and dependent on high-performance infrastructure to function at scale.

To capitalize on this, IBM is pursuing what can be described as a 360-degree partnership model that encompasses four key pillars:

1. Selling To: Ensuring partners are confident in IBM technology by using it themselves.
2. Selling Through: Enabling partners to integrate IBM technology into the solutions they take to market.
3. Selling With: Establishing joint account planning and a co-selling motion where sales teams from both companies approach clients in unison.
4. Building Together: Moving beyond basic reference architectures to co-create complete, market-ready solutions and blueprints.

The power of this framework lies in its transition from theoretical blueprints to tangible, integrated solutions. A historical parallel can be drawn to IBM's partnership with VMware, which transformed a nascent licensing deal into a multi-billion-dollar business by building a complete solution on the IBM public cloud. This history provides the blueprint for the deeper, more complex alliances being forged today.

The Game-Changer: A Three-Way GTM Model in Action

The accounting industry stands at a critical juncture. Small and mid-sized businesses (SMBs) and the accountants and bookkeepers who serve them are navigating a complex landscape defined by talent shortages, mounting regulatory pressures, and persistent economic uncertainty. In this environment, the traditional role of accounting software as a mere system of record is no longer sufficient. The market demands a shift towards a system of intelligence—one that not only records transactions but automates workflows, anticipates needs, and delivers actionable insights.

At its recent Xerocon Brisbane event, Xero articulated its response to this demand with a series of announcements that signal a profound strategic evolution. Moving beyond incremental feature updates, Xero unveiled a cohesive vision centered on a supercharged AI financial agent, a unified partner platform, and strategic acquisitions to bolster its payments ecosystem. This is not just about making accounting easier; it is about fundamentally reimagining the nature of financial management for SMBs and redefining the value proposition for their advisors.

The AI Superagent: JAX's Evolution from 'Just Ask' to 'Just Done'

The centerpiece of Xero's future vision is the evolution of JAX (‘Just Ask Xero’), its AI business companion. Xero is moving JAX from a "just ask" tool to a "just done" financial superagent, built on an agentic AI platform. This is a critical distinction. While many vendors are adding conversational AI interfaces, Xero's ambition is to create a system that proactively automates manual, repetitive tasks across bookkeeping, tax, payments, and reporting.