Our focus
AI ready
We are not traditional consultants. We do not hand you a strategy deck and leave. We make your business AI ready: the data, architecture and tools that let AI do real work in a retail business.
What AI ready means
Most businesses are not held back by a lack of AI tools. They are held back by scattered data, unclear ownership and no plan for how AI connects to the systems they already run.
AI ready means that groundwork is done. Your data is joined up and trusted, the architecture is designed, and the first use cases are running, so each new AI idea is a small step rather than a new project.
Traditional consulting or AI ready?
The difference is what you are left with when we finish.
| Traditional consulting | AI ready with tekda | |
|---|---|---|
| What you receive | A strategy deck and a list of recommendations | A working data foundation, models and tools |
| Where it ends | When the report is handed over | When your team is running it |
| Who builds it | You work out how to implement it | We build it and train your team |
| Focus | Broad business strategy | Retail data, AI and the systems around them |
What AI ready includes
Six parts. The first two are where most of the value is decided.
AI architecture
A clear design of how your data, models, apps and AI assistants connect: what runs where, what you build and what you buy, how it links to your POS, e-commerce and inventory systems, and how it stays secure.
Data foundation
AI is only as good as the data under it. We build one governed retail data model with agreed definitions, so every model and assistant works from the same numbers.
Models and AI tools
Forecasting and pricing models, language-model assistants that answer questions about your own data, and automation of manual reporting and product data work.
Apps and workflows
Power BI reports, Streamlit apps and assistants placed where your buyers, planners and managers already work.
Governance and security
Access control, privacy, accuracy monitoring, cost control and clear rules for how staff use AI.
People and ownership
Training, documentation and named owners, so the system keeps working after we step back.
How we get you there
We start with a written assessment and build only what the assessment justifies.
Assess
A readiness report on your data, systems and skills, and the use cases worth doing first.
Design
A target architecture and a staged roadmap, with what to build and what to buy.
Build
The data foundation and the first use case, running on your own data.
Run
Monitoring, training and a handover so your team owns it.