AI Services
Enterprise AI that actually ships.
Most AI projects die in the pilot graveyard. Ours do not. We design, build, and operate AI systems - from agentic workflows to custom models to AI-powered cyber defense - that go from whiteboard to production in weeks, not quarters.
The gap between AI ambition and AI execution is where companies lose.
Every enterprise has an AI strategy deck. Very few have AI in production. The reasons are consistent: fragmented pilots, weak governance, models that work in notebooks but fail in operations, and security treated as an afterthought.
XaktiNow exists to close that gap. We do not ship slideware. We build production AI with governance embedded, security hardened from Day 1, and operating infrastructure that performs long after go-live.
Seven service lines. One obsession: AI in production.
Agentic AI Solutions
Autonomous agents that execute while your team scales.
We build multi-agent systems that execute workflows, make decisions, and orchestrate across platforms using ServiceNow AI Agent Studio and Agent Fabric integrations.
What We Build: Multi-agent orchestration systems, autonomous workflow agents, conversational AI, AI Agent Studio configurations, Agent Fabric integrations, and Autonomous Workforce deployments.
Engagement: 6-16 weeks from kickoff to production.
Explore Agentic AI ->Generative AI Applications
Beyond chatbots. Generative AI engineered for enterprise outcomes.
Custom LLM and SLM solutions tuned to your data, workflows, and compliance requirements with production-grade retrieval and copilots.
What We Build: LLM/SLM deployments, RAG pipelines, prompt engineering frameworks, enterprise knowledge retrieval, copilot development, and Now Assist configurations.
Engagement: 8-16 weeks from kickoff to production.
Explore Generative AI ->Custom AI Models
Your data. Your model. Your competitive edge.
We train, fine-tune, and deploy domain-specific AI models optimized for your industry context and infrastructure constraints.
What We Build: Model training and fine-tuning, SLM optimization, model distillation, private deployment, and continuous model improvement pipelines.
Engagement: 8-20 weeks from kickoff to production.
Explore Custom AI Models ->AI & Cyber Security
AI that hunts threats before they find you.
We build AI-powered defense systems that detect threats in real time, automate response, and continuously adapt to your risk landscape.
What We Build: Threat detection and response, SOC copilots, automated triage/remediation, adversarial AI defense, model security auditing, and SecOps integrations.
Engagement: 6-16 weeks from kickoff to production.
Explore AI Cyber Security ->AI Governance & Compliance
Ship AI fast. Ship it responsibly.
We design governance systems with policy, observability, and compliance controls so teams can scale AI confidently.
What We Build: Governance frameworks, bias audits, AI Control Tower implementation, model risk classification, prompt-injection defense, and responsible AI audit toolkits.
Engagement: 4-8 weeks from kickoff to production.
Explore AI Governance ->AI Integration & MLOps
Production AI needs production infrastructure.
Our MLOps practice builds the systems that keep AI reliable at scale: monitored, retrained, and integrated into enterprise operations.
What We Build: Model serving infrastructure, ML CI/CD, model monitoring, drift detection/retraining triggers, A/B testing, and enterprise integration.
Engagement: Ongoing managed retainer.
Explore MLOps ->Enterprise AI Strategy & Roadmap
Do not build blind. We identify the highest-value AI opportunities and deliver a prioritized roadmap with defensible business cases.
What We Deliver: AI maturity assessment, use-case prioritization, build-vs-buy analysis, AI readiness scoring, stack recommendations, and executive-ready business case documents.
Engagement: 4-6 week advisory engagement.
From zero to production in three phases.
Phase 1 - Discover (Weeks 1-2)
AI readiness assessment, use-case prioritization, data audit, stack evaluation, and build-vs-buy analysis to produce an actionable roadmap.
Phase 2 - Build (Weeks 3-12)
Architecture, model development, orchestration, integration, security hardening, governance setup, and iterative testing with real users.
Phase 3 - Operate (Ongoing)
Production monitoring, drift detection, retraining, ROI dashboards, and SLA-backed continuous improvement.
Flexible models that match how you work.
Fixed-Fee Projects
Scoped deliverables with milestone payments and predictable budgets.
Managed AI Services
Monthly retainer for model operations, monitoring, retraining, and optimization.
Advisory & Strategy
Time-and-materials consulting for roadmapping, architecture, and governance design.
Every AI engagement is backed by dedicated specialists.
AI Center of Excellence
11 specialists across Now Assist, Agentic AI, and AI Governance who embed into programs and enforce production quality standards.
ServiceNow COE
When AI meets the Now Platform, our ServiceNow architects ensure integration is upgrade-safe, performant, and aligned to platform best practices.
AI built for the industries that need it most.
BFSI
Fraud detection, risk intelligence, and auditable AI compliance workflows.
Healthcare
Clinical AI, patient journey agents, and secure compliant deployments.
Enterprise IT
Autonomous service desk, incident prediction, and workflow optimization.
Cybersecurity-First
Threat intelligence, SOC automation, and model security hardening.
Education
Personalized learning systems, student lifecycle intelligence, and campus automation.
Government & Regulated Industries
Sovereign AI deployments, compliance-driven AI, and auditable AI systems.
Proof, not promises.
Related Pages
AI Platform Enablement on ServiceNow
Need AI embedded in ServiceNow workflows? Explore our ServiceNow practice.
Explore ServiceNow ->Meet the AI COE
Our AI Center of Excellence leads standards, accelerators, and governance.
Explore AI COE ->Let's figure out where AI creates the most value for you.
Book a 30-minute session with our COE. No pitch - just a practical discussion on what to build first.