Enterprise Account Executive

Moveworks vs Aisera (2026): post-acquisition comparison | Rezolve.ai | Rezolve.ai. Moveworks vs Aisera (2026): comparing two AI service desks that just got acquired. Moveworks now belongs to ServiceNow; Aisera to Automation Anywhere. A sourced comparison of the two AI-overlay heavyweights, and what their acquisitions mean for buyers in 2026. Rezolve.ai The team building the agentic service desk rezolve.ai/blog/moveworks-vs-aisera Key takeaways. * Both lost independence within months: ServiceNow closed on Moveworks in Dec 2025; Automation Anywhere acquired Aisera in Nov 2025 * Neither ships its own ITSM system of record, both are overlay layers on the ticketing you already run * Moveworks is the scale leader with six-figure contracts; Aisera is broader (IT, HR, CX) with marketplace pricing from $200K/yr * Post-acquisition roadmaps now serve their new owners' platform strategies, worth weighing against an independent alternative Eighteen months ago, Moveworks vs Aisera was the defining AI-service-desk shortlist. Both are still excellent technology, but the comparison changed shape in late 2025, when both companies lost their independence within weeks of each other. If you're evaluating them in 2026, the acquisitions are now part of the product. The short version. Moveworks (mature, enterprise-proven, the scale leader), is now a ServiceNow company ($2.85B, closed December 15, 2025 after a DOJ review). Aisera (broader across IT, HR, finance and customer service), now belongs to Automation Anywhere (announced November 4, 2025), which is folding it into an RPA-centered "autonomous enterprise" strategy. Neither ships its own ITSM system of record; both bolt onto the ticketing platform you already run. Your decision is as much about whose platform strategy you're comfortable inheriting as it is about NLP quality. Head to head. | / | Moveworks | Aisera | | Owner (2026) | ServiceNow (closed Dec 2025) | Automation Anywhere (announced Nov 2025) | | Peer ratings | 4.6/5 G2 (51 reviews, seller profile) | 4.4/5 G2 (146 reviews); 4.4/5 Gartner PI (428 ratings) | | Analyst standing | Being folded into ServiceNow's EmployeeWorks packaging | Visionary, 2025 Gartner MQ for AI Apps in ITSM | | Scope | Employee assistant + enterprise search, IT-led | IT, HR, finance, customer service + AIOps | | System of record | None, overlays ServiceNow and others | None in practice, documented deployments are overlays | | Pricing | Quote-based; Vendr median ACV ~$130K; 3-yr TCO $1.5M-$3.5M at 5,000 employees | Quote-based; Azure Marketplace from $200K/yr (1,000 users); Vendr median ~$90K | | Documented friction"Extensive setup and fine-tuning" (G2 cons)"Implementation lengthy and often tedious" (G2 themes) | What the acquisitions change for buyers. If you run ServiceNow, Moveworks just became the house option: expect the deepest integration story, and expect it to pull you further into the ServiceNow platform (that's the point of a $2.85B acquisition). If you don't run ServiceNow, you're now buying your employee-facing AI from a vendor whose parent competes with your ITSM, Moveworks remains available standalone "for now" per ServiceNow's own messaging. Aisera's roadmap now serves Automation Anywhere's RPA-led agenda, including public positioning about reducing ITSM seat counts. That's compelling if you're consolidating RPA and AI under one vendor, and worth scrutiny if you wanted a service-desk-first partner. Both products also share the overlay architecture: they deflect and resolve in chat, while records, changes, assets and approvals live in a separate ITSM you also license, administer and integrate. The independent third option. If the acquisitions gave you pause, the alternative profile looks like this: an independent vendor whose only mission is employee support, with the agentic layer and the ITSM system of record in one product, so autonomous actions are governed, audited and recorded without a second platform underneath. That's Rezolve.ai: ~70% of requests resolved before they become tickets, native in Teams, Slack, email and voice, transparent per-user pricing without six-figure entry points, and a system of record included (or run it over your existing ITSM during transition). Re-evaluating after the acquisitions? Book a live demo, DeskIQ will show you the deflection math on your own 12 months of tickets. See the agentic service desk in action. Watch Rezolve.ai autonomously resolve real IT and HR tickets: governed, auditable, glass-box.

The buzz: ServiceNow bets on partners to close the gap between AI ambition and AI reality. At Knowledge 2026, the platform giant doubles its channel commitment with outcome-driven methodology - and a striking number on why partners matter. * ServiceNow's partner momentum is real - and the model is changing. Opening the Partner Day Keynote at Knowledge 2026 in Las Vegas Monday, SVP of Global Partnerships and Channels Michael Park led with a pointed Q1 headline: partner-sourced net new ACV doubled year-over-year, and partners delivered more than 50 per cent of Moveworks' net new business in the first 90 days following ServiceNow's acquisition. The numbers put muscle behind a message the company is driving hard: this is a partner-led growth engine, not a direct play. The company rolled out two new tools to cement that model - a Partner Business Value Composer designed to help partners establish AI value baselines with customers, and a new Outcome Led Services methodology designed to move partners away from traditional time-and-materials billing toward monetizing business outcomes. As Constellation Research founder Ray Wang put it on stage: "The companies that will win are not the partners who try to rebuild the engine - they use the engines available to build the new car that doesn't exist." * Three questions are opening every enterprise AI conversation - and governance is the one that's sticking. Chief Customer Officer Chris Bedi laid out the framework partners should be using: How do I make AI real? How do I get to value faster? How do I govern AI everywhere? The governance question is emerging as the highest-urgency entry point - every enterprise is grappling with it whether or not they've articulated it. ServiceNow is positioning AI governance as the non-negotiable building block of any enterprise AI deployment, and is expected to announce a formal 100-day AI value guarantee at today's Knowledge mainstage keynote - an offer partners will be able to use as a standardized starting point for customer engagements. The customer conversation is also shifting: "Pacesetters" that Bedi tracks as AI leaders are demonstrating 160 per cent ROI, and the story is no longer about cost reduction. Top-line revenue growth is what's getting approvals right now. * Nine in ten ServiceNow implementations go through partners - and the company is investing in that reality. Chief Learning Officer Jayney Howson put a sharp point on the session with a single stat: 90 per cent of all ServiceNow implementations are delivered by a partner. She framed the implication plainly: "You're the last mile between buying an AI dream and seeing an AI reality." In response, ServiceNow is making a significant investment in partner enablement - AI-assisted learning tools, a new simulated training environment, and a commitment to dramatically compress implementation training time from weeks to hours. The platform has approximately two million certified learners today, with a target of three million by end of next year. For Canadian partners evaluating where to deepen their ServiceNow practice, the message was hard to miss: the enablement infrastructure is being built, and the company is betting its partners are the ones who make the AI era real for enterprise customers. Also in brief: * Nerdio launches Manager for MSP 7.0 as Microsoft cloud growth surges. The multi-tenant Microsoft management platform announced today that MSP ARR grew 51.8 per cent in 2025, with Microsoft 365 users inside the platform up more than 300 per cent year-over-year as MSPs expand their Microsoft practices beyond virtual desktop. Version 7.0 - in public preview as of today - adds four notable capabilities: a Prospect Tenant Assessment Wizard that scans a prospect's Microsoft 365 environment and generates a client-ready security and efficiency gap report; native PSA integrations with Datto Autotask, ConnectWise, and Halo; Microsoft Purview compliance baselines; and a white-label reporting engine across Azure Virtual Desktop, Microsoft 365, and Azure. For MSPs trying to manage the whole Microsoft stack across dozens of tenants from a single pane of glass - and increasingly looking for tools that help them sell, not just manage - 7.0 has some practical additions worth a look. * Anthropic takes a swing at the consulting industry. The company behind Claude announced today a $1.5 billion joint venture with Goldman Sachs, Blackstone, and Hellman & Friedman - not to license Claude, but to embed it inside enterprise workflows as a service. The model is being read as a direct shot at traditional consulting firms, and a clear signal about where AI services margin is flowing. For channel partners building AI practices, the venture is worth watching: Anthropic is structuring this as outcome-based deployment, backed by institutional capital that can go places traditional IT channel distribution cannot. * ThreatDown makes a major channel pivot. The Malwarebytes spinoff announced last week that it has rebuilt its entire go-to-market model around a channel-first strategy - growing distribution from one per cent to 40 per cent of its business. The company is launching a new Nexus Partner Program with deal protection and margin incentives specifically designed for MSPs. For a cybersecurity brand that has been largely direct-led, this is a significant reversal and puts ThreatDown in direct competition for MSP mindshare with established channel-first security vendors. * Cisco is acquiring Astrix Security for $350 million. The Israeli startup specializes in non-human identity security - securing the API connections, OAuth tokens, service accounts, and AI agent identities that are multiplying fast as agentic deployments scale. It's a logical buy for Cisco as the attack surface around AI agents becomes one of the harder problems in enterprise security. Audio Player