Xanadu Consultants

Services

AI-Led Advisory & Transformation

Experienced counsel. Independent judgment. Outcomes that hold.

Xanadu Consultants is an AI-led advisory firm partnering with organizations to make better technology decisions — before, during, and after transformation. We bring nuanced judgment to the choices that matter most: what to buy, what to build, what to fix, and what to stop doing. Data, analytics, and AI are the rigorous backbone behind every recommendation. Human judgment is what makes those recommendations worth following.

01

Customer Experience & Digital

Strategy and design for the layer of your business that customers actually experience.

02

AI, Data & Analytics

Building the data and analytical foundation that makes every transformation initiative hold.

03

Intelligent Automation

Identifying where automation creates genuine business value — and where to preempt the complexity and cost that derail most programs.

04

AI-Native Engineering

Helping engineering organizations build smarter — where AI reshapes how software is conceived, built, and released.

05

ERP & CRM Transformation

Independent counsel on the enterprise and customer systems your business runs on.

06

Application Modernization & Platform Engineering

Independent counsel on what to modernize, what to retire, and how to build a platform foundation that supports transformation.

01

Customer Experience & Digital

Strategy and design for the layer of your business that customers actually experience — journeys, channels, and the AI-informed digital touchpoints that determine whether they stay or leave.

What we do

Most CX initiatives fail not because the strategy was wrong but because the technology, the process, and the people were never aligned behind it. A journey map on a wall changes nothing. Execution — informed by data, grounded by judgment — changes everything.

We help organizations understand what their customers actually experience, design what they should experience, and select and implement the technology that makes the difference sustainable. AI and behavioral data inform every design decision. We introduce AI-powered tools where they genuinely improve the customer experience — not where they merely reduce headcount.

CX Strategy & Journey Design

Understanding what your customers experience today — and designing what they should experience tomorrow. We map journeys grounded in behavioral data, not assumption, and translate them into actionable change across people, process, and technology.

  • Customer journey mapping & gap analysis
  • CX vision & strategy development
  • Behavioral data analysis & insight
  • Experience measurement framework design
  • Voice of the Customer (VoC) program design

Digital Channel & Mobile Strategy

Advising on the right digital investments — which channels to build, which platforms to select, and how to create digital experiences that customers actually use. In a market where every vendor claims AI capability, we help you ask the right questions before committing.

  • Digital channel strategy & roadmap
  • Mobile application strategy & vendor selection
  • AI-informed technology selection & RFP support
  • Digital self-service design & deflection strategy
  • Post-launch adoption measurement

Omnichannel & Contact Centre

Modernizing how your organization serves customers across every channel — voice, digital, and everything in between. We design service models that work for customers and are operationally sustainable for the business.

  • Omnichannel service design & architecture
  • Contact center modernization & platform selection
  • Generative AI in customer service — where it earns its place
  • Service operations & workforce design
  • Self-service & intelligent deflection strategies

CX Analytics & Measurement

Moving beyond NPS to measurement frameworks that actually tell you something useful. We design VoC programs, analytics approaches, and reporting structures that connect customer experience data to business outcomes.

  • CX measurement framework design
  • VoC program design & analytics
  • Customer data strategy & segmentation
  • AI-assisted sentiment & feedback analysis
  • Experience ROI modelling

If your CX program is not delivering what it promised, we are happy to have an honest conversation about why.

02

AI, Data & Analytics

Building the data and analytical foundation that makes every transformation initiative hold — from how you define and govern data, to how you extract intelligence and act on it.

What we do

Data, analytics, and AI are not what Xanadu sells. They are how Xanadu thinks. Every recommendation we make — every platform we suggest, every process we redesign, every system we advise on — is grounded in what the data reveals and what rigorous analysis confirms.

We help organisations build the data foundation that makes AI work — because AI without clean, governed, well-defined data is an expensive experiment. We advise on where generative AI and agentic automation add genuine value, and we say clearly when they don't.

Data Strategy & Governance

Most organisations have more data than they can use and less data than they need — in the right form, in the right place, with the right definition. We help organisations build the data foundation that makes analytics and AI genuinely possible.

  • Data strategy & roadmap development
  • Data governance framework design
  • Data dictionary & metadata management
  • Data quality assessment & remediation planning
  • Master data management strategy

Ontology & Knowledge Engineering

For organisations whose data complexity requires more than a schema — we advise on ontology design, knowledge graph architecture, and the structured representations of knowledge that make AI systems genuinely intelligent rather than statistically approximate.

  • Ontology design & knowledge graph advisory
  • Semantic data modelling
  • Taxonomy & classification framework design
  • Knowledge graph implementation oversight
  • AI knowledge base design

Digital Twin Strategy

Advising on where digital twin technology creates genuine operational and strategic value — and where the investment is premature. We help organisations assess feasibility, define use cases, and build the data architecture that makes digital twins possible.

  • Digital twin feasibility & use case assessment
  • Data architecture for digital twin environments
  • Simulation strategy & platform selection
  • Integration with operational systems
  • Digital twin governance & lifecycle design

Analytics, BI & AI Deployment

Helping organisations select, implement, and govern the analytics and AI tools that turn data into decisions. We advise on platform selection, model governance, and the operating model that keeps AI working for the business over time.

  • Analytics & BI platform selection & implementation oversight
  • AI readiness assessment
  • Generative AI strategy & use case development
  • AI model governance & responsible AI frameworks
  • Data product design & analytics operating model

03

Intelligent Automation

Identifying where automation creates genuine business value — and where to preempt the complexity and cost that derail most programmes.

What we do

The automation landscape is noisy. RPA, agentic AI, generative AI, process mining — every vendor promises transformation. Most organisations have automated the wrong things, in the wrong order, with the wrong tools. The result is technical debt disguised as digital progress.

We start with the process, not the platform. We identify where automation genuinely removes friction, accelerates outcomes, and scales operations — and where it merely digitises a broken process at higher cost. Strategy and governance before tooling, every time.

Automation Strategy & Opportunity Assessment

Before any automation investment, organisations need to know what is worth automating, in what order, and with what expected return. We assess the automation landscape across your operations and build a prioritised, evidence-based roadmap.

  • Process discovery & automation opportunity mapping
  • Value case development & ROI modelling
  • Automation maturity assessment
  • Prioritisation framework design
  • Build vs buy vs partner analysis

RPA & Agentic AI Automation

Advising on the right combination of robotic process automation and agentic AI for your specific context — where rules-based automation is sufficient, where AI judgment is needed, and where the combination of both creates the most value.

  • RPA platform selection & implementation oversight
  • Agentic AI workflow design & governance
  • Human-in-the-loop design for AI automation
  • Exception handling & escalation design
  • Automation testing & quality assurance strategy

Process Mining & Intelligence

Using process mining to understand how work actually flows through your organisation — not how it is supposed to flow. The gap between the two is where automation value lives.

  • Process mining platform selection & deployment
  • Process variant analysis & bottleneck identification
  • Conformance checking & compliance monitoring
  • Continuous process improvement design
  • Data extraction & event log preparation

Automation Governance & Operating Model

Automation without governance creates fragility. We design the operating model, centre of excellence structure, and governance frameworks that keep automation working at scale — and make it auditable, resilient, and aligned to business outcomes.

  • Automation Centre of Excellence (CoE) design
  • Governance framework & policy development
  • Change management & adoption planning
  • Performance measurement & continuous optimisation
  • Risk, compliance & audit framework for automated processes

04

AI-Native Engineering

Helping engineering organisations build smarter — where AI reshapes how software is conceived, built, tested, and released, and where human judgment governs the outcome.

What we do

The question for most engineering organisations is no longer whether to use AI in the SDLC — it is which decisions to trust it with, and what to retain in human hands.

We advise engineering leaders on how to redesign their delivery model for an AI-native world — from requirements through release. We bring particular focus to quality engineering, which is consistently the bottleneck that AI can most meaningfully address — across both enterprise platforms and custom-built applications.

AI in the SDLC — Strategy & Readiness

Advising on how AI reshapes each stage of the software development lifecycle — from requirements discovery through to release management — and what governance is needed to keep velocity high and quality intact.

  • AI-in-SDLC maturity assessment
  • Toolchain evaluation & selection across SDLC stages
  • AI governance & responsible engineering frameworks
  • Developer productivity measurement & optimisation
  • Security & compliance design for AI-assisted development

Intelligent Quality Engineering

Quality engineering is consistently the bottleneck in software delivery — and the area where AI creates the most immediate, measurable value. We advise on intelligent testing strategies across both enterprise platforms and custom applications, with a focus on removing QE as a constraint without removing the rigour that prevents production failures.

  • QE strategy & intelligent testing framework design
  • AI-assisted test generation & maintenance
  • Test automation platform selection — enterprise & custom apps
  • Shift-left quality design & early defect detection
  • Performance, security & accessibility testing strategy

Covers Salesforce, Microsoft Dynamics, Oracle, SAP, and custom-built applications.

Product Engineering Strategy

Advising organisations on how to build software products — the right architecture, the right build vs buy decision, and the right engineering operating model for their context and growth stage.

  • Product engineering strategy & architecture advisory
  • Build vs buy vs compose analysis
  • Engineering organisation design & capability assessment
  • Technical debt assessment & remediation planning
  • AI-assisted product design & prototyping strategy

DevOps & Release Governance

Advising on the release management practices, DevOps toolchain, and governance frameworks that keep AI-augmented engineering teams moving fast without losing control of what goes to production.

  • DevOps maturity assessment & roadmap
  • Release governance & change management framework
  • CI/CD pipeline design & toolchain selection
  • Feature flagging & controlled release strategy
  • Observability & production monitoring strategy

05

ERP & CRM Transformation

Independent counsel on the enterprise and customer systems your business runs on — what to choose, what to fix, and what success actually looks like before anyone signs a contract.

What we do

ERP and CRM decisions are among the most consequential a business makes. They are also among the most frequently made badly — driven by vendor relationships, incomplete business cases, or the assumption that the right platform will compensate for an unclear process.

We are platform-agnostic across the major ERP and CRM ecosystems. We have no preferred vendor, no certification incentive, no reseller relationship that colors our recommendations. Our role is to help you make the right decision — and then to ensure that decision is executed with the rigor it deserves.

Package Selection & Vendor Assessment

Independent, structured evaluation of ERP and CRM platforms — Salesforce, Microsoft Dynamics 365, SAP, Oracle, Zoho, and others — against your specific business requirements, technical landscape, and total cost of ownership. We tell you which platform is right, including when the answer is to fix what you have.

  • Requirements definition & business process mapping
  • Vendor long-list, short-list & structured evaluation
  • RFP design & vendor response assessment
  • Total cost of ownership modelling
  • Reference customer engagement & due diligence
  • Contract negotiation support & commercial advisory

Platforms covered: Salesforce, Microsoft Dynamics 365, SAP S/4HANA, Oracle Cloud, Zoho, ServiceNow, and others.

Business Case & Investment Advisory

Building the business case that secures investment and sets the right expectations for the program. We model ROI, risk, and the realistic timeline for value realization — before any commitment is made.

  • Business case development & financial modelling
  • ROI framework & benefit realization planning
  • Risk assessment & mitigation strategy
  • Stakeholder alignment & governance design
  • Program scope definition & phasing strategy

Program Governance & Oversight

For organizations that have selected their platform and engaged an implementation partner, Xanadu provides independent program governance — ensuring the implementation delivers what was promised, on the terms agreed.

  • Independent program oversight & assurance
  • Implementation partner management & performance tracking
  • Scope, budget & timeline governance
  • Risk escalation & executive reporting
  • User acceptance testing strategy & oversight

Health Assessment & Recovery

For ERP and CRM deployments that are underperforming — low adoption, poor data quality, misaligned processes, or a system the business has quietly stopped trusting — we diagnose the real problem and design the recovery.

  • Deployment health assessment & root cause analysis
  • Adoption diagnosis & recovery planning
  • Data quality assessment & remediation strategy
  • Process realignment & configuration review
  • Phased recovery roadmap & quick-win identification

AI-Assisted Platform Optimization

Advising on where AI capabilities within ERP and CRM platforms — embedded AI, copilots, predictive analytics — create genuine business value, and how to govern their use responsibly.

  • AI feature assessment within existing platforms
  • Copilot & embedded AI strategy
  • Predictive analytics use case development
  • AI governance within ERP/CRM environments
  • Integration of external AI tools with platform data

06

Application Modernization & Platform Engineering

Independent counsel on what to modernize, what to retire, and how to build a platform foundation that supports transformation without becoming its own liability.

What we do

Most organizations carry more technical debt than they acknowledge and more application complexity than their business requires. The result is a technology estate that slows transformation rather than enabling it — where every new initiative has to negotiate with legacy systems, fragile integrations, and platforms that were never designed for what the business now needs from them.

We advise on rationalization, modernization, and the platform engineering decisions that determine whether your technology foundation supports the next five years of growth or constrains it. AI is embedded in our assessment approach — identifying modernization opportunities, predicting failure points, and informing migration sequencing.

Application Portfolio Assessment & Rationalization

A structured, evidence-based assessment of your application portfolio — what you have, what it costs, what it does for the business, and what should be retired, replaced, or consolidated. We use AI-assisted analysis to surface patterns and prioritize decisions at scale.

  • Application inventory & portfolio mapping
  • Business value & technical health assessment
  • Rationalization framework & decision criteria
  • Retire, retain, replace, re-platform analysis
  • AI-assisted portfolio analysis & pattern identification
  • Roadmap development & business case for rationalization

Legacy Modernization & Cloud Migration

Advising on the right modernization approach for legacy systems — rehost, refactor, re-platform, re-architect, or retire — and the migration sequencing that minimizes business risk while maximizing the speed of value delivery.

  • Legacy system assessment & modernization strategy
  • Cloud migration strategy & platform selection
  • Migration sequencing & dependency mapping
  • Cloud-native architecture advisory
  • API strategy & integration modernization
  • Risk & business continuity planning for migration

Platform Engineering

Advising on the internal developer platform, infrastructure architecture, and toolchain that engineering teams need to build and deploy software reliably at scale. We help organizations move from ad-hoc infrastructure to a governed, productive platform engineering capability.

  • Internal developer platform strategy & design
  • Cloud infrastructure architecture advisory
  • Container & orchestration strategy
  • DevSecOps framework design
  • Toolchain consolidation & standardization
  • Platform engineering operating model design

Site Reliability Engineering

Advising on the SRE practices, tooling, and operating model that keep complex systems reliable — from SLO definition through to incident response design. We help engineering organizations build reliability in, rather than bolt it on.

  • SRE maturity assessment & roadmap
  • SLO, SLI & error budget framework design
  • Observability strategy & toolchain selection
  • Incident response & on-call design
  • Chaos engineering & resilience testing strategy
  • Toil reduction & automation strategy

Managed Services & Operational Resilience

For organizations considering managed services — or looking to improve the performance of existing managed service arrangements — we provide independent advisory on scope, vendor selection, SLA design, and governance.

  • Managed services strategy & scope definition
  • Vendor selection & contract advisory
  • SLA & performance framework design
  • Transition planning & knowledge transfer
  • Security, compliance & resilience advisory

Not sure where to start?

If you are evaluating a technology decision, planning a transformation, or exploring where AI fits — talk to us before you commit. We will tell you honestly what we think, including when the answer is to do nothing yet.

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