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AI Consulting & Roadmap Services

AI Consulting & Roadmap Services

Saxon’s AI Consulting & Roadmap services help organizations assess their current state, define what success looks like, and build a structured plan to advance AI adoption across the enterprise.

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Trusted by Leading Brands

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

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Our AI Strategy & Roadmap Approach

AI Readiness Assessment

We assess readiness across:

  • Data availability and quality

  • Process maturity and automation depth

  • Technology landscape and integrations

  • Governance, security, and compliance posture

  • Organizational readiness and skills

Use Case Discovery & Prioritization

We work with business and IT leaders to identify and prioritize AI use cases based on:

  • Business impact and feasibility

  • Data availability

  • Risk and compliance considerations

  • Time-to-value

AI Vision & Target Architecture

We design a practical AI target state that fits your enterprise:

  • Role of AI across functions and workflows

  • Platform vs point-solution decisions

  • Data, AI, and agent architecture

  • Security, governance, and operating model

Execution Roadmap

We translate strategy into a phased roadmap:

  • 90-day, 6-month, and 12-month initiatives

  • Dependencies across data, systems, and teams

  • Investment and resourcing guidance

  • Build vs buy recommendations

AI Center of Excellence (CoE) Design

For organizations scaling AI, we help define:

  • AI CoE structure and roles

  • Intake, prioritization, and delivery model

  • Governance, risk, and compliance workflows

  • Metrics to track value and adoption

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What our AI services deliver

Clarity on Where AI Creates Value

  • Get a clear understanding of where AI can deliver impact, where it cannot, and how success should be measured. 

Realistic Readiness Visibility

  • Assess how prepared the organization is across data, systems, people, and operating models before committing to scale. 

Reduced Execution Risk ​

  • Surface governance, compliance, and operational gaps early, before AI moves into production environments

Defined Ownership and Accountability

  • Establish clarity on who owns AI decisions, standards, and outcomes across the enterprise. 

A Foundation for Sustainable Scale ​

  • Put structures in place that allow AI initiatives to grow consistently without losing control or alignment. 
  • Impact Delivered

Proven outcomes at enterprise scale

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40-60%

faster hiring cycles

50%

reduction in onboarding effort

30%

improvement in recruiter productivity

25%

lower voluntary attrition

35%

faster HR request resolution

100%

audit-ready compliance

Integrations

outlook
sap
Teams
netsuite
Zoom

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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Integrations

outlook
sap
Teams
netsuite
Zoom
  • Case studies

Proven Success with Enterprise Clients

Background

Project Financial Health Agent

Project financial visibility depended on delayed and manual reporting, limiting proactive control. An AI-powered financial agent provides conversational access to real-time project metrics, forecasts, and risk indicators. Project leaders gain faster insight into financial health and can take corrective action earlier

Background

Doctor Assist Agent for OPD

Doctors spent significant time reviewing patient records before consultations, reducing patient throughput. An AI agent aggregates patient history, diagnostics, and clinical notes into a single view, enabling faster reviews and more informed consultations.

Background

RPA-Based Sales Order Automation

Manual sales order processing led to delays and errors. An RPA-driven automation integrated with SAP streamlined order creation and processing, reducing manual effort, improving accuracy, and enabling faster order execution with better customer satisfaction.
Background

AI-Powered LPO and Reconciliation Automation

Manual processing of LPOs and reconciliations resulted in delays, mismatches, and compliance risks. An AI-powered automation extracts LPO data from emails, validates and reconciles transactions, and integrates directly with SAP. Structured outputs and audit trails improved accuracy, reduced manual effort, and strengthened compliance.
Explore more success 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 roadmap includes prioritized use cases, capability requirements, sequencing, dependencies, and success metrics.
Typical engagements range from 4 to 6 weeks depending on scope and organizational readiness.
Yes. Saxon can support implementation, foundational capabilities, agents, platforms, and ongoing operations.
Yes. We define governance frameworks, roles, policies, and CoE structures tailored to your organization.

Get Started with Our AI Consulting

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