Clean, structured information
Standardise product fields, remove duplicates and organise FAQs and policies into formats that downstream tools can use.
DATA & INTEGRATIONS
Bring the pieces together.
Put your information to work.
Prepare business data and connect everyday tools so that people and AI workflows can use the right information at the right moment.
Discuss your project ↗
Where this helps
Good automation starts with usable data
Product details sit in spreadsheets. Policies live in documents. Conversations stay in the inbox. Connecting tools only helps when the underlying information is organised and reliable.
What we can build
Connections with a purpose
Integrate supported APIs and agreed data sources, with explicit rules for what is read, transformed and written.
Workflows you can follow
Build in checks, review points and failure handling so an interrupted sync does not silently become a business problem.
Turn scattered conversations into useful knowledge.
Bring approved sources together
Collect permitted conversation exports, product records, FAQs and policy documents from the agreed systems.
Clean and redact
Remove duplicates and irrelevant content, group messages into usable conversations and redact selected personal information.
Review extracted knowledge
Prepare question-and-answer candidates and product facts for a person to accept, correct or reject before publication.
Update downstream tools
Publish approved knowledge to the support assistant or internal search workflow, with a clear owner and refresh process.
Example workflow
What this could look like.
01
Collect agreed source information
02
Clean, validate and structure records
03
Apply access and review rules
04
Sync to the knowledge base or destination tool
For example
Product specifications arrive from multiple suppliers in different formats.
Source files → consistent product fields → flag missing values for review → export the approved records.
Project handover
What a project
can include.
Deliverables depend on the scope we agree during discovery.
- A source and destination data map
- Cleaning and validation rules
- Scoped integrations or a knowledge pipeline
- Run instructions, error handling and ownership notes
Frequently asked questions
Before you get started.
Which platforms can you connect?
We assess your tools, available APIs and export formats during discovery. For Shopify, WooCommerce and other platforms, the proposal specifies which data can be read or updated and any access requirements.
Do we need to move all our data?
Often a focused dataset is enough to start. We identify the minimum information required for the workflow and agree where it should live.
What about customer information?
We agree what data is necessary, who can access it and where it is processed. Conversation preparation can include redaction and quality checks before data enters an AI workflow.
Discuss your project
Start with a
focused project.
Tell us which task takes up time and what you would like to improve.