ACANALYTICS CITYClarity. Context. Capability.

AI adoption · Knowledge · Delivery

Prepare your
business for AI.
Put AI to work.

Lead the change. Connect your data and business knowledge. Build practical solutions—from RAG assistants and chatbots to AI agents and operational analytics.

For IT, data, and operations leaders in growing organisations.

Discuss your AI initiativeSee our work
Founder-led in Vancouver, Canada.
THE KNOWLEDGE LAYERAC / 001

Business context,
made explicit.

Illustrative example
A shared operational dependencyProduction line L-07 depends on press PR-17. Press PR-17 depends on cooling system CS-04. Production line L-08 also depends on cooling system CS-04.depends ondepends ondependsonPRODUCTION LINEPRODUCTION LINEPRESSCOOLING SYSTEML-07L-08PR-17CS-04
Shared dependencies can matter when investigating the effect of an equipment issue.
Data + meaning + relationshipsUseful context
Better context. More useful AI.
From ambition to everyday application.Explore the possibilities

01What we do

Three connected capabilities.
A practical place to start.

Start with the challenge in front of you. Clarify the direction, prepare the foundations, or build and improve a solution.

01 / Leadership

AI Strategy, Change & Adoption

Turn AI ambition into clear priorities, defined responsibilities, and changes people can use in their daily work.

  • Use-case priorities
  • Workflow redesign
  • SME involvement
  • Adoption & training
Explore AI adoption
02 / Foundations

Metadata, Semantics & Ontology

Make your data and business knowledge understandable, connected, and maintainable.

  • Metadata management
  • Agreed definitions
  • Relationships
  • Ownership & lineage
Explore data & knowledge
03 / Delivery

AI Solutions, RAG & Agents

Build assistants and workflows connected to your documents, data, and business systems.

  • RAG assistants
  • AI chatbots
  • Data assistants
  • Agents & integrations
Explore AI solutions
Different starting points. One connected approach.Explore all services

02Selected work

See the work
behind the approach.

View selected work
campsul
A clearer picture.
A more informed
school choice.
Public dataShared definitionsUseful information

School information for British Columbia

Product · Education

Public data.
Practical decisions.

Campsul brings public British Columbia education data into a searchable experience for families. It connects school indicators, comparison tools, and a published methodology in one product.

An Analytics City project.

Explore the Campsul project

03How we work

Make the change
work in practice.

The scope follows your starting problem. These are the questions that connect a useful idea to a solution people can use.

01

Define the opportunity.

Agree the problem, expected value, boundaries, and measures of success.

A clear, shared starting point
02

Prepare the foundations.

Identify the information, definitions, owners, and expert time the work needs.

Knowledge and responsibilities mapped
03

Build and evaluate.

Develop a useful solution and test it against real tasks and business expectations.

Evidence of what works
04

Adopt and improve.

Support users, measure usefulness, assign maintenance, and improve the workflow.

A solution people can keep using

Business expertise is part of delivery. Essential contributions need allocated time, clear responsibilities, and a place in the plan.

04Ideas & perspectives

Good questions.
Useful perspectives.

Practical thinking on AI, business knowledge, and analytics.

Explore the insights archive

From the archive · Original writing, 2020–2021

Data governanceLinkedIn

Data Governance As A Necessity...

Why shared definitions, clear responsibilities, and organisational change belong at the centre of data governance.

LinkedIn
Business knowledgeLinkedIn

Autonomous Analytics: Use Each Bit

The story behind a metric changes when you look closer. An exploration of granular data, quality, and long-term planning.

LinkedIn
Autonomous analyticsLinkedIn

All Hail Autonomous Analytics

Forecasting, anomaly detection, and the limits of manually monitoring an ever-growing number of business measures.

LinkedIn

05The person behind the practice

Led by
Güven Agas.

Connecting business understanding with the care of an engineer.

Analytics City is a founder-led practice bringing business analysis, data engineering, and applied AI together. The work starts with understanding your organisation—and the knowledge a useful solution depends on.

Meet the founder

A useful next step

Start with the
business problem.

Tell us what you are trying to improve, where your information lives, and what is getting in the way.

Discuss your AI initiativeinfo@analyticscity.comA conversation about the problem and possible scope.