Flexible Business Models
We offer tailored engagement models—subscription, project-based, or managed services—designed to suit your enterprise needs and scale as your business evolves.
Most ServiceNow projects go live successfully. Far fewer are still producing new value by year two.
It's a familiar pattern. The first module ships on time and everyone is happy with it. After that the backlog begins to outweigh the team's ability to clear it. CMDB data drifts until nobody quite trusts the reports. Licence costs creep upward with nothing obvious to show for them, and the upgrade that was scheduled for last quarter slips again, and then again. None of that is a platform problem. It is a delivery and governance problem, which is a more encouraging diagnosis than it sounds, because delivery and governance can be corrected.
That is why we do an assessment first before a proposal. Two weeks, five checks covering platform health, data quality, licence use, upgrade risk and security posture, and a scored report with a costed backlog at the end of it. If you then decide to run the work in-house, or with a different partner, the report still belongs to you.
Regarding our contribution to the work itself. Build Partner status means we build certified applications on ServiceNow rather than only configuring what is already there. Integration X, our ServiceNow Store App, came out of a client engagement, as did our GDPR compliance solution. Behind that sit more than 128 certified consultants across six practice areas, including solutions consultants whose job is to design the thing properly before anyone starts building it. Our data and cloud teams sit in the same business, which matters more than it might sound, because ServiceNow rarely fails on its own. It fails at the integration layer and the data layer. And we have done this work in regulated environments, including banking and insurance clients and a full GDPR-compliant implementation for a European insurer.
Transform the way your enterprise works with Kellton’s AI-enabled ServiceNow expertise. We don't just deploy ServiceNow, we transform workflows, enable experiences to be automated, and match each deployment to your business results:
Certified ServiceNow consultants
Practice areas covered
Products built on ServiceNow
Accelerators to reduce time-to-value effectively.
Automate workflows to achieve faster onboarding and boost efficiency.
Satisfaction rate through trusted enterprise partnerships.
Kellton Accelerates AI-Driven ServiceNow Transformation at Scale
Plenty of ServiceNow AI pilots work. Far fewer make it into production and stay there.
The blocker is rarely the technology. It is usually one of three things. Dirty data, because agents act on CMDB and knowledge records, and bad data means wrong actions at speed. No governance model, so nobody owns the agent's decisions and risk teams withhold approval. Or no measured baseline, so the saving cannot be proven and nobody funds the next phase.
We fix those first. Then we build.
What we deliver: AI agent design and build, workflow automation, virtual agents and chatbots, predictive intelligence for incident routing, AI governance and audit trails, and enablement so your team can maintain it.
Six services covering the full platform lifecycle. Start anywhere.

Our ServiceNow solutions consultants assess your current setup, design the architecture, and build a phased roadmap. Includes CSDM design and module sequencing. Start with a 2-week assessment.
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Full implementation across ITSM, ITOM, HRSD, GRC/IRM, Hardware Asset Management and Technology Provider Service Management. Includes integrations, data migration, testing and training. Typical first phase - [8–12] weeks.
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AI agent design and build, workflow automation, virtual agents and predictive intelligence. Plus the governance to get them approved for production. Start with an AI readiness review.
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Architect and manage your AI infrastructure through the Kellton agentic AI platform, legacy code migration and modernization, agent-led product development, and MLOps and LLMOps pipelines — built to scale and sustain intelligent systems reliably.
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Version upgrades, platform migrations, and moving off legacy ITSM tools. Includes automated regression testing and customization review. Start with an upgrade readiness check.

Custom scoped applications and ServiceNow Store apps. As a Build Partner we ship products on the platform: Integration X (Store App), a GDPR compliance solution, and an automated catalog migrator — all deployed with enterprise clients. Start with: a use-case workshop.

Your vision, our promise. We turn ServiceNow investments into measurable business outcomes and efficiency. Here’s how:
Our two-week assessment scores platform health, data quality, licence use and upgrade risk. You keep the report either way.
EMEA
Manual processes and complex workflows were limiting global Device-as-a-Service delivery. Order status, customer communications and hardware deployments were tracked separately across locations and time zones, and the customer experience varied by market. We deployed ServiceNow Technology Provider Service Management with Automation Engine to centralize DaaS management, automate key workflows and standardize delivery across regions.
Order Management + Flow Designer Refactored a multi-vendor platform toward low-code principles and introduced Integration X, our ServiceNow Store App, for inbound integrations. Outcome: 60% faster customer onboarding · 50% less manual effort
Security Operations + Threat Intelligence Integrated Security Operations with Zscaler, Microsoft Defender and Splunk, configured Security Incident Response end to end, and extended threat intelligence with Anomali ThreatStream. Outcome: 40% faster incident resolution · 60% better vulnerability management · 50% less manual effort
Operations Deployed Kellton's own GDPR product, built on the ServiceNow platform, for a European client. Introduced an Information CI class to locate and track personal data through CI relationships. Outcome: Automated EU data request fulfilment, integrated with Security Operations.
Not reliably. Agents act on CMDB and knowledge records. If those records are wrong, the agent does the wrong thing quickly and at scale. Data quality work almost always comes first, which is why our AI engagements start with a readiness review rather than a use-case workshop.
Tell us where your platform is today. We will come back with a scoped proposal.