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As organizations scale their ServiceNow footprints, traditional support models often create operational friction. Hours-based contracts frequently result in unpredictable development velocity, administrative oversight burdens, and competing priorities between daily maintenance and strategic platform roadmaps. Ondaro Propel resolves these constraints by providing guaranteed monthly capacity across distinct operational and development workstreams.

“You shouldn’t have to manage your managed services,” said Jameson Ford, Practice Strategy Lead, AI and Managed Services at Ondaro. “Propel gives you an expert advisor who helps steer the platform forward, connects your priorities to delivery, and stays accountable for where the platform goes next, not just what closed this month.”

Also Read: Innovative Solutions Launches Forward Deployed Services for AWS

Guaranteed Capacity and Fibonacci Sizing Architecture

Ondaro Propel structures platform management into two distinct operational lanes to maintain service availability while accelerating application release cycles:

Predictable Development Throughput: Planned roadmap features are sized into standardized Development Points using a Fibonacci-based scale, giving enterprise platform owners a transparent, consistent method for sprint prioritization.

SLA-Backed Operational Support: Dedicated operational capacity absorbs incident tickets and service requests under strict service level agreements (SLAs) without consuming development resources.

Embedded Strategic Governance: Governance, reporting, and advisory sessions are integrated directly into the contract framework, preventing clients from spending delivery capacity on vendor management.

Scalable Capacity Assessment: Ondaro conducts initial environment assessments to establish recommended capacity baselines, adjusting resource allocation dynamically as business demands shift.

“The Service Delivery Manager becomes part of your team,” said Ford. “They bring the guidance and governance to help you get more from the platform you already own, while keeping delivery connected to the priorities that matter most.”

Accelerating Delivery via AI-Powered Platform Operations

Underpinning the managed service model is Ondaro’s proprietary AI platform, built to accelerate routine ServiceNow lifecycle tasks while maintaining human oversight. The integrated AI toolkit supports user story refinement, automated build and QA testing, backlog grooming, system health audits, platform upgrade cycles, and KPI analytics.

Every AI-assisted output undergoes review by Ondaro specialists and final approval by the assigned Service Delivery Manager, ensuring technical accuracy and enterprise-grade security before deployment into production environments.

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To eliminate this modernization bottleneck and make digital transformation a continuous operational discipline, IT infrastructure services leader Kyndryl announced the launch of its Agentic Modernization services-as-software.

Built on the Kyndryl Agentic AI Framework and delivered at scale through the Kyndryl Bridge platform, this new delivery model codifies decades of enterprise engineering knowledge into pre-built, automated digital workflows. For the Enterprise IT Services, Managed Infrastructure, and Application Modernization industry, this launch marks a major structural shift: moving legacy IT transformation out of custom consulting engagements and establishing autonomous, agent-orchestrated software workflows as a standard operational baseline.

The News: Codifying Engineering Expertise into Scalable AI Workflows

The primary innovation behind Kyndryl’s Agentic Modernization offering is “services-as-software” converting specialized human engineering tasks into repeatable, software-driven AI workflows. Instead of relying on manual code analysis or spreadsheet-based dependency mapping, autonomous AI agents handle complex modernization steps across distributed, cloud, and mainframe environments.

Also Read: Cloudflare Launches Identity-Aware AI Gateway to Audit, Analyze, and Secure Enterprise AI Usage

The platform enhances enterprise transformation across four core capabilities:

End-to-End Modernization Lifecycle: Autonomous AI agents execute discovery, code refactoring, dependency mapping, system design, code generation, testing, and validation.

Powered by Kyndryl Bridge: The offering leverages Kyndryl Bridge which manages mission-critical environments for over 1,400 enterprise clients and generates 16 million monthly AI insights to provide centralized cost management, security guardrails, and regulatory compliance.

Agentic Memory Management: Preserves operational context and critical institutional knowledge over time, allowing organizations to modernize iteratively rather than through high-risk “big bang” cutovers.

Model-Agnostic Flexibility: Enterprises retain complete freedom to integrate their preferred frontier AI models and tools, preventing vendor lock-in while preserving enterprise-grade governance.

Transforming the IT Services and Infrastructure Industry

Kyndryl’s transition toward automated, agentic workflows accelerates broader structural shifts across the technology services and system integration market.

The Decline of Headcount-Driven IT Consulting
For years, IT consultancies built business models around billable hours and offshore developer scale.

Kyndryl’s services-as-software approach highlights the strategic limitations of traditional IT staffing models. As more agentive AI tools enable automated discovery, translation, and testing, clients will not accept lengthy and costly planning cycles. Enterprise IT market is shifting towards outcome-driven delivery where execution speed, software repeatability, and platform governance become more important than sheer developer manpower.

Establishing “Continuous Modernization” as the Operational Baseline
Historically, legacy IT modernization occurred in isolated, periodic waves every 5 to 10 years.

By delivering reusable agentic workflows through Kyndryl Bridge, Kyndryl redefines modernization as a continuous, software-driven discipline. Tech vendors and managed service providers will increasingly be judged on their ability to help clients adapt iteratively to changing business requirements without disrupting day-to-day operations.

Broad Operational Impact on Enterprise Businesses

For Fortune 500 corporations, financial institutions, and global enterprises burdened by legacy technical debt, deploying agentic modernization workflows yields clear commercial advantages:

De-Risking Legacy Mainframe and Cloud Transformations
Migrating legacy codebases often written in aging programming languages like COBOL carries severe operational risk. Early customer deployments demonstrate immediate value: a global reinsurer cut its data center exit timeline by 50% when transitioning off mainframes, while a major car rental brand accelerated legacy code refactoring using Kyndryl’s AI agents. Automating code translation while keeping human engineers in the loop for final validation de-risks digital transformation.

Reclaiming Capacity for Core Strategic AI Initiatives
Enterprise IT and engineering teams routinely spend up to 70% of their budgets simply maintaining legacy infrastructure. Offloading manual modernization tasks to autonomous agentic workflows restores immense internal capacity. IT leaders are liberated to redirect their talent toward high-impact business drivers—such as building proprietary AI applications, refining customer experience platforms, and launching new digital revenue lines—turning foundational IT systems into engines of growth.

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To systematically dismantle this barrier, frontier AI developer Anthropic, alongside private equity titans Blackstone and Hellman & Friedman, announced the formal launch of Ode with Anthropic (“Ode”).

Backed by a massive $1.5 billion consortium of premier global investors including Goldman Sachs, General Atlantic, Apollo Global Management, and Sequoia Capital Ode operates as a “scaled boutique” applied AI services firm. Built on the operational foundation of Fractional AI (acquired in May 2026), the company deploys elite, on-site forward-deployed engineers to structurally rewire core corporate workflows around AI. For the IT Services, Technology Consulting, and Digital Systems Integration industry, this milestone launch redefines the delivery layer—shifting enterprise AI engagement out of isolated sandboxes and moving it into outcome-driven production environments.

Technical Approach: Forward-Deployed Engineers and Multi-Model Optimization

The primary technical differentiator behind Ode is its move away from the traditional model of delivering high-level strategic roadmaps. Instead, the firm focuses on deep, code-level execution. Led by Fractional AI co-founders Chris Taylor (CEO) and Eddie Siegel (CTO), Ode deploys small “special forces” teams of veteran generalist engineers directly into customer environments.

The architectural framework modernizes corporate infrastructure across several core vectors:

Claude-First System Overhauls: Operating in close alignment with Anthropic’s Applied AI team, Ode designs custom retrieval-augmented generation (RAG) environments and agentic systems optimized for Anthropic’s Claude platform.

Workflow Rewiring and Data Grounding: Engineers work directly alongside client subject matter experts to document legacy operational paths and ground models in proprietary corporate knowledge, eliminating the risk of hallucinations in critical logic paths.

Multi-Model Architectural Agility: While executing a Claude-first approach, Ode maintains an open infrastructure. Engineers possess the flexibility to integrate alternative frontier models when a client’s specific operational dependencies require multi-cloud orchestration.

Transforming the IT Services and Technology Consulting Industry

The entry of a $1.5 billion specialized vehicle backed by a multi-trillion-dollar private equity book of business introduces structural disruption across the traditional technology services landscape.

The Threat to Headcount-Driven Consultancies
For decades, the systems integration and enterprise IT services industry relied heavily on linear, headcount-driven commercial structures. When a major corporation initiated a digital transformation, traditional system integrators deployed vast armies of generalist consultants to manually manage the transition over multi-year horizons.

Ode’s “scaled boutique” model challenges this logic. By focusing on small, highly dense teams of elite engineers capable of end-to-end code ownership, the firm compresses implementation timelines from years to months. This puts direct pressure on the high-margin, labor-heavy delivery frameworks of legacy consulting giants, shifting the competitive baseline from body-shopping to rapid, platform-led velocity.

A Natural Portfolio Pipeline for Immediate Scale
Historically, tech consulting startups faced long customer acquisition cycles, spending years pitching enterprise CIOs to win trust. Ode completely bypasses this friction.

By partnering directly with Blackstone, Hellman & Friedman, and Apollo, the firm gains warm access to a combined portfolio spanning hundreds of mature companies across healthcare, retail, infrastructure, and finance. This built-in customer base provides an immediate pipeline for deployment, allowing Ode to scale commercial revenue rapidly while competing consultancies struggle to build equivalent AI pipelines.

Broad Operational Impact on Enterprise Businesses

For mid-market and enterprise organizations looking to deploy generative tools without incurring massive R&D overhead, tapping into an institutional delivery engine introduces distinct commercial advantages.

Mitigating the Risk of Stalled Proof-of-Concepts
Many enterprise organizations are currently caught in “proof-of-concept purgatory” spending significant portions of their technology budgets experimenting with basic AI tools that fail to reach production because they cannot scale safely across legacy corporate systems.

Tapping into a dedicated applied engineering layer allows corporate leadership to bypass this trial-and-error cycle entirely. Custom AI systems can be integrated cleanly into frontline employee interfaces from day one, converting abstract technical potential into a predictable driver of net operating efficiency.

Capitalizing Human Capacity by Automating Back-Office Overhead
In sectors like financial services and healthcare, operational staff are routinely bogged down by immense clerical burdens spending hours manually reviewing prior authorization requests, cross-referencing multi-state compliance updates, and managing messy data entry pipelines.

Offloading these repetitive tracking tasks onto custom-built, context-aware AI agents recovers vital organizational capacity. Corporate teams can step away from administrative bottlenecks and focus their attention on high-value, strategic priorities such as cultivating client relationships, managing risk profiles, and steering product innovation—transforming foundational technology infrastructure into a powerful, confident engine of enterprise scaling and long-term market advantage.

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Mid-sized companies often struggle to expand their cloud operations. Whereas big global companies may hire a full-time internal cloud architecture team or even go one step further and get direct, dedicated engineering support from cloud hyperscalers, many growing businesses will likely struggle with cloud transition because they don’t have enough engineers on hand to support them with migration and modernization. A lack of specialized technical talent might cause the delay of development pipelines, budget overrun, and time-to-market delay.

“The AWS Forward Deployed Engineer model is widely recognized as an incredibly successful approach for accelerating innovation within large enterprises,” said Justin Copie, CEO of Innovative Solutions. “With our new Forward Deployed Services, we’re bringing that same high-velocity, high-impact model to growing businesses, but with a crucial difference: it’s led and delivered by our team of certified AWS experts who understand the unique agility and resource constraints of the mid-market.”

Also Read: Siemens Expands PCB Design and Test Engineering Capabilities Through Strategic Acquisition of ASTER Technologies

Embedding Technical Expertise Directly into Product Pipelines

The framework departs from traditional, reactive IT consulting by embedding senior cloud engineers directly into a customer’s product development teams. Rather than working from isolated support tickets, these forward-deployed specialists operate alongside internal developers to solve real-time infrastructure challenges.

The service introduces dedicated optimization capabilities across three core operational pillars:

Accelerated Feature Velocity: Eliminates structural friction between cloud infrastructure management and software application development to speed up deployment cycles.

Proactive Cloud Architecture: Builds secure, well-architected cloud environments that prevent technical debt before it impacts live production environments.

Continuous Tailored Upskilling: Provides hands-on knowledge transfer to internal tech teams, elevating the organization’s self-sufficiency throughout the engagement lifecycle.

Bridging Strategy and Execution with Google Cloud Integration

To ensure complete alignment with overarching corporate strategies, every engineering deployment is paired with a dedicated cloud strategist. This dual-layered approach guarantees that technical infrastructure decisions remain directly tied to measurable business goals, such as operational cost control, data compliance, and scalable user growth.

The model is built on Innovative Solutions’ deep history as an AWS Premier Tier Services Partner. By combining the rigorous standards of the enterprise FDE framework with the flexibility required by mid-market organizations, the practice helps businesses transform their cloud setups into predictable engines for revenue growth.

The Forward Deployed Services are officially live and available for onboarding immediately across North America. Chief technology officers, product engineering directors, and cloud infrastructure managers can review service blueprints, examine case studies, and schedule a scoping consultation by visiting Innovative Solutions’ official digital workspace.

The post Innovative Solutions Launches Forward Deployed Services for AWS appeared first on ITDigest.

Also Read: WorkWave Unveils WAIve to Revolutionize Field Service Operations with Always-On AI  

Since their deployment, these products have tackled some of the most complex and time-intensive ticket categories like software and email issues that account for a large share of volume significantly reducing median time-to-resolution for engineers by over half. “AI is transforming everything how we work, how we operate, how we serve customers. Shield’s work in building AI-driven products are initiatives that we had envisioned but didn’t have the expertise or bandwidth to execute,” said Alexander Saca, CEO of IronOrbit, one of Shield’s partner companies. “We believe that specialized AI is core to driving enterprise AI adoption,” added Anuj Mehndiratta, a founding team member of Thrive Holdings, noting the power of Shield’s model in aligning incentives between technology builders and users. In 2025, Shield achieved over $100 million in annual revenue and currently partners with nine companies across the U.S., collectively serving more than 1,500 customers in key industries such as construction, energy, and healthcare, with the new investment set to further accelerate growth and platform expansion.

Read More: Shield Raises $100 Million From Thrive Holdings to Accelerate the Growth of its IT Services Platform

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Also Read: FICO Launches FICO Marketplace to Accelerate Enterprise Intelligence and AI Collaboration 

WAIve also introduces ‘Ask WAIve’, a natural language interface that will act as a unified intelligence layer across the enterprise, allowing users to pose plain-English questions like forecasting revenue or managing inventory and command AI agents to execute associated tasks on their behalf, with broader capabilities slated for release throughout 2026. By utilizing proprietary data to support both back-office staff and field technicians, WorkWave says WAIve will directly drive daily execution and business outcomes, whether through automated overnight workflows or human-approved real-time recommendations, and the company plans to showcase these capabilities live at its Beyond Service Customer Conference in Dallas in early February.

Read More: WorkWave Transforms Field Service Operations With WAIve: Always On AI Optimization That Listens, Learns and Acts

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Strengthening Integrated PCB Design and Test Workflow

With the increasing complexities associated with the development of electronics systems, including advancements in automotive, 5G, and high-performance computing, there is a growing need for a closer link between design and test or manufacturing. By incorporating ASTER’s power within the PCB design and manufacture solution by Siemens, issues can now be spotted early, and advancements in terms of time to market and product quality can be made.

ASTeR’s flagship product, TestWay, is widely recognized for its best-in-class DFT planning and test implementation capabilities, enabling engineering teams to define and execute robust test strategies at the earliest PCB assembly stages. This complements Siemens’ Valor suite for design for fabrication and assembly, delivering a comprehensive Design for Manufacturing (DFM) solution.

Leadership Perspectives on Strategic Value

“The addition of ASTER Technologies is a game-changer for our customers in the PCB design and manufacturing space. By integrating ASTER’s market-leading test engineering software, we are empowering our customers to optimize designs much earlier in the design cycle,” said AJ Incorvaia, senior vice president and general manager, electronic board systems at Siemens Digital Industries Software. “This can dramatically reduce costs, accelerate time-to-market and helps to ensure the highest levels of product quality and reliability. It’s about giving our customers a complete, integrated solution that sets them up for success from the very first design concept through final production.”

Also Read: Teradata Launches Autonomous Customer Intelligence

The acquisition also broadens Siemens’ DFM and test engineering solutions for high-end applications such as computing/HPC, automotive electronics and networking systems, where efficient test coverage strategies are critical to product success.

“Joining forces with Siemens is an incredibly exciting next chapter for our team and our customers. We’ve always been passionate about helping engineers create flawless PCB designs through advanced test coverage analysis,” said Christophe Lotz, founder and chief executive officer, ASTER Technologies. “Now, as part of Siemens, we have an unparalleled opportunity to integrate our expertise into a broader, industry-leading portfolio. This means our innovative solutions can reach more customers, enabling them to achieve even greater efficiency, quality and competitive advantage. We are thrilled to contribute to Siemens’ vision of a truly integrated digital thread for electronics design and manufacturing with just enough test.”

Expanding Siemens’ EDA and PCB Market Leadership

With this acquisition, Siemens continues to advance its position as a provider of leading EDA software and integrated manufacturing solutions. ASTER’s technology will enhance Siemens’ PCB solution stack by embedding test planning and execution capabilities within the design cycle, creating a competitive advantage for customers that seek greater automation, quality and design insights.

Siemens Digital Industries Software supports global organizations in digitally transforming their design, engineering and manufacturing processes using the Siemens Xcelerator business platform, delivering software, services and hardware designed to accelerate innovation while promoting sustainability, operational efficiency and digital continuity.

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Altus, the trusted leader in commercial receivables management and business-to-business collections, announced the appointment of Tarn Shant as Chief Technology Officer (CTO). This strategic addition to the executive leadership team marks a pivotal step in advancing Altus’ technology roadmap and its mission to redefine commercial collections through innovation, automation, and data intelligence.

With over 25 years of experience in global technology leadership within the BPO sector, Tarn brings a proven track record of driving digital transformation, operational efficiency, and large-scale modernization. Most recently, as Senior Vice President of Technology at iQor, he led transformation and governance initiatives that delivered measurable results across multi-national teams, optimizing systems and processes through AI-driven solutions.

Also Read: Xyte Unveils First AI Teammate to Revolutionize Device Support

As CTO, Tarn will lead Altus’ Technology and Data Science organization, overseeing the integration of artificial intelligence, predictive analytics, and platform modernization to enhance performance and decision-making across all client-facing and internal systems. His leadership will be instrumental in ensuring that Altus continues to set the industry standard for innovation, compliance, and client outcomes.

“Technology and analytics have always been at the core of Altus’ growth strategy,” said Jim McDermott, Chief Executive Officer of Altus. “With Tarn’s deep expertise in AI-driven transformation and enterprise-scale modernization, we are taking a major step forward in building the most advanced, intelligent platform in the commercial receivables industry. Tarn’s leadership will help accelerate our innovation pipeline and strengthen the value we deliver to clients every day.”

“I’m honored to join Altus at such a transformative time,” said Tarn Shant, Chief Technology Officer of Altus. “The opportunity to harness AI, automation, and data science to reimagine how commercial receivables are managed is incredibly exciting. Altus’ vision for a technology-first approach aligns perfectly with my passion for using intelligent systems to deliver measurable business outcomes and operational excellence.”

Source: PRNewswire

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