# AI-Ready Data Platforms

> Twistag designs, builds and runs the data platform that reports, teams and AI agents read from every day: clean, current and connected to the ERP and CRM…

Pipelines and warehouses agents can read.

Twistag designs, builds and runs the data platform that reports, teams and AI agents read from every day: clean, current and connected to the ERP and CRM, in the company’s own cloud.

First data product

6–12 weeks After a two to four week discovery

Built on

Open standards dbt, Airflow and Kafka, portable across clouds

Ownership

100%Code, infrastructure and data in the client’s cloud

Most AI stalls on data: spread across systems, out of date and owned by no one.

- 01 Three versions of the same number. Finance, sales and operations each report their own.

- 02 Yesterday’s data for today’s decisions. Exports and manual refreshes set the pace.

- 03 Agents with nothing reliable to read. Pilots work on samples, then fail on the real thing.

## One platform for reports, teams and agents.

Every source is ranked by what fixing it is worth before anything is built, and every data product reports against a number agreed with leadership.

- 01 Source map Every source ranked by what fixing it is worth.

- 02 Ingestion pipelines Batch and streaming feeds from the ERP, CRM and other systems.

- 03 Warehouse and models Snowflake, BigQuery, Databricks or Redshift, modelled with dbt.

- 04 Quality checks Tests for freshness, completeness and duplicates on every run.

- 05 AI-ready layer Vector search and APIs agents can read, with permissions.

- 06 Ownership and runbooks An owner for every pipeline and a runbook for every failure.

### From source systems to the agent layer

- ERP Orders ingested 48,210 rows 2 min

- CRM Accounts ingested 9,412 rows 1 min

- Quality Checks on every table 3 duplicate customers held for review 40 s

- Warehouse Models rebuilt 112 models, all tests passed 6 min

- Agent layer Search index refreshed Ready for agents and reports 1 min

5 stages, all logged 3 rows held for review

## Six to twelve weeks to the first data product.

Discovery fixes the scope first. The platform grows once the number agreed with leadership has moved.

## Govern it, build on it or hand it over.

Definitions, owners, access and lineage across every domain.

Agents that read current, trusted data and act on it.

Infrastructure as code, pipelines and runbooks handed over in full.

## Data platforms already at work.

## About AI-ready data platforms.

What does it cost?

How soon can work start?

Which clouds and warehouses does Twistag use?

Does the company need a data platform before starting with AI?

Who owns what is built?

Can the internal team run it afterwards?

## Other Data & Cloud services.

## Let’s talk.

Tell us about the company and what it needs. A senior lead takes it from there.

A senior lead replies within one working day.

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Source: https://twistag.com/data-cloud/ai-ready-data-platforms