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Custom AI Platforms

Custom AI Platforms

Saxon’s custom AI Platforms help you build secure, scalable enterprise AI platforms tailored to your data, systems, and governance requirements.

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AI strategy

Trusted by Leading Brands

Trusted by 100+ global companies across Retail, Manufacturing, Healthcare, Finance, and Technology

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Our Customer AI platform capabilities

Enterprise AI Platform Architecture

  • Modular, scalable platform design 
  • Support for multiple use cases, teams, and deployments 
  • Reusable components and shared services 
  • Designed for long-term extensibility

Model Orchestration

  • Run and manage multiple models and providers 
  • Route tasks dynamically across models 
  • Support for versioning and model lifecycle management 
  • Enable fallback and failover strategies 
  • Coordinate models within enterprise workflows 

Data and Access Layer

  • Controlled data access across AI workloads 
  • Centralized data governance and sharing policies 
  • Role-based access to datasets and outputs 
  • Support for structured and unstructured data 
  • Data lineage and traceability 

Security and Governance Framework

  • Enterprise-grade security controls 
  • Policy-driven access and execution rules 
  • Full auditability and compliance enforcement 
  • Approval and review workflows 
  • Responsible AI guardrails and controls

Monitoring and Observability

  • Track model usage, performance, and cost 
  • Monitor data quality and input drift 
  • Detect model drift and operational issues 
  • Alerting for failures and anomalies 
  • Continuous improvement and optimization insights 
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What our custom AI platforms deliver

Faster AI adoption

  • Shared platform for multiple teams 
  • Shorter time from build to deploy 

Lower operational cost

  • Reuse of models and data pipelines 
  • Reduced duplication across AI initiatives 

Reduced risk and better control

  • Centralized governance and security 
  • Auditability and compliance by design 

Scalable business impact

  • Consistent execution across use cases 
  • Ready for agents and automation at scale 

AIssist — An Enterprise Platform for AI at Work

AIssist is an enterprise platform designed to help organizations work smarter with AI. It brings intelligence, search, and action together in one secure layer—so teams can find information, make decisions, and execute tasks across systems without switching tools. Built to fit into existing enterprise environments, AIssist connects data, applies controls, and supports consistent execution at scale.

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  • Case studies

Proven Success with Enterprise Clients

Background

AI-Driven Social Media Competition Intelligence

A financial services organization needed faster visibility into competitor campaigns and customer sentiment across social platforms. Manual tracking led to delayed insights and missed opportunities. An AI-powered intelligence solution continuously analyzes social conversations, sentiment shifts, and competitor activity, enabling sales teams to query insights in natural language and respond faster with data-driven positioning. 

Background

AI Contract Lifecycle Management

Manual contract management resulted in delayed renewals, missed obligations, and increased governance risk. An AI-enabled contract lifecycle management solution automated contract creation, approvals, renewals, and compliance checks. Legal and sales teams gained better visibility, reduced risk, and improved operational efficiency. 

Background

AI Sales Recommendation Agent

Sales representatives needed real-time product recommendations tailored to customer requirements. An AI recommendation agent analyzes customer inputs and product data to suggest optimal solutions during sales conversations. The solution improved conversion rates and supported more informed, confident selling. 

Background

AI Contract Lifecycle Management

Manual contract processes created control gaps and increased legal exposure. An AI-powered CLM solution automated contract workflows, compliance validation, and governance controls. Legal teams improved turnaround time, reduced risk, and gained better oversight across contracts. 

Explore more client stories

How We Engage

Create shared understanding and intent across stakeholders
Ground AI plans in business and system realities.
Identify readiness gaps and risk areas.
Define governance, operating models, and ownership.
Set the foundation for applied AI, agents, and platforms.

Frequently Asked Questions (FAQs)

A custom platform is designed around your data, systems, security, and operating model rather than generic assumptions.
Yes. Platforms are designed to be model-agnostic and vendor-neutral.
No. It integrates with and extends existing platforms rather than replacing them.
Through centralized controls, role-based access, audit logs, and standardized workflows.
Not required, but strongly recommended to scale agents consistently and securely.
Yes. It is designed to adapt as new models, tools, and use cases emerge.

Get Started with Our Custom AI Platform

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