01 · Consult — AI Consulting & Analytics

Find the AI worth building.

Business goals, turned into a ranked, measurable AI roadmap — grounded in your data, not hype.

  • Vendor-neutral advice
  • Data-backed priorities
  • Success metrics upfront
The difference

What changes with Xendex.

Before
With Xendex
BeforeDozens of AI ideas, no priorities
With XendexA ranked portfolio scored on value, feasibility and risk
BeforeGuesswork about data readiness
With XendexA clear readiness verdict for every use case
BeforePilots chosen by hype
With XendexUse cases chosen by business case
BeforeROI nobody can measure
With XendexBaselines and KPIs agreed before any build
What's delivered

AI Consulting & Analytics, end to end.

AI Opportunity Assessment

Cross-functional workshops to surface, size and rank the AI opportunities worth funding.

  • Opportunity map
  • Value sizing
  • Ranked roadmap

Data Readiness & Foundations

Audit quality, access and architecture — then fix what blocks AI.

  • Data audit
  • Pipelines
  • Lakehouse design

Predictive Analytics

Forecasting, churn, risk and optimisation models that drive decisions.

  • Forecasting
  • Churn
  • Optimisation

GenAI Strategy

Where generative AI fits — and where it doesn't.

  • Use-case fit
  • Build vs buy
  • Model choice

Value Measurement

KPI frameworks and dashboards that prove impact.

  • KPIs
  • Dashboards
  • ROI tracking
How it's delivered

A clear path, with something to show at every step.

Each stage ends with a tangible output — so progress is visible, not promised.

Technology used

  • Python
  • SQL
  • dbt
  • Power BI
  • scikit-learn
  • XGBoost
  • Prophet
  • Snowflake
  • BigQuery
  • Databricks
  • Postgres
  • GPT
  1. Discover

    Interviews and process mapping across teams.

    • Stakeholder map
    • Pain-point inventory
  2. Assess

    Review data, systems and current capabilities.

    • Data readiness report
  3. Prioritise

    Score every idea on value, feasibility and risk.

    • Ranked portfolio
  4. Plan

    Roadmap, solution outlines and success metrics.

    • AI roadmap
    • KPI framework
Proof

Already in production.

Data analysis · Finance

Plain-English questions. Board-ready charts.

Natural language → governed SQL → live visualisation, so leaders get revenue, growth and variance on demand.

Read the case study

Pipeline from a question to SQL to a revenue chart
FAQ

Questions, answered.

Is clean data needed before starting?

No. Assessing data readiness is part of the work — what's usable now and what to fix first are both made clear.

Are you tied to a particular vendor or model?

No. Recommendations are vendor-neutral and based on your constraints, budget and risk appetite.

How is the engagement priced?

As a fixed-scope XenPod: one defined outcome, with cost and timeline agreed before work starts.

What happens after the roadmap?

Your team can execute it, or Xendex forward-deployed engineers can build it alongside them.

Not sure where AI fits?

Start with an opportunity assessment — what's worth building is identified first.