Bad data kills good AI
Most AI plans don’t stall because the model’s poor. They stall because the data underneath it is scattered, manual, and hard to trust.
At assimil8, we help you sort the foundations first, so automation and AI have something solid to stand on.
What this looks like in real life
If any of this sounds familiar, you’re not alone:
Your reporting still leans on spreadsheets
Teams don’t always agree on the numbers
Key data sits across too many systems
People want AI, but no one trusts the inputs
The business case sounds interesting, but still feels vague
assimil8 can help you fix this
Where we come in
We help businesses take the pressure out of data and reporting.
That means bringing disconnected sources together, improving trust in the numbers, cutting manual work, and helping leadership make better decisions about what to do next.
Sometimes that leads to automation. Sometimes it leads to AI. Sometimes it starts with getting one painful reporting process under control.
That’s fine by us. We’d rather help you fix one problem properly than make a bigger promise.
What good looks like
When the foundations are in better shape, you get:
Less time spend chasing data
Better reporting across teams
Clearer ownership
A stronger case for change
A stronger case for change
Data quality checklist
Check if you should be deploying LLMs or Generative AI. If you cannot check a box with 100% confidence, leave it blank.
Centralisation
Our core data (Sales, Finance, Ops) lives in a single, structured Data Warehouse, not in individual SaaS tools.
Definitions
If I ask “What is Gross Margin?”, the Sales Director and Finance Director give me the exact same calculation.
History
We have at least 12 months of clean, historical data formatted consistently.
Cleanliness
We have zero “duplicate” customer records across our systems.
Access
We can access our data via API/SQL without manual export/import buttons.
Security
We have “Row-Level Security” in place (i.e., the AI knows who is allowed to see what).
Privacy
No PII (Personally Identifiable Information) is exposed in the dataset the AI will access.
Latency
Our data is updated automatically (near real-time), not manually refreshed once a month.
Documentation
We have a “Data Dictionary” that explains what every column header actually means.
Ownership
There is a specific human being responsible for Data Quality (not just “IT support”).
0–3 Ticks
Critical Failure. Do not deploy AI. You will amplify your bad data.
4–7 Ticks
High Risk. Your AI will hallucinate. Proceed with extreme caution.
8–10 Ticks
AI Ready. You’re safe to proceed.
Score below 8?
Don’t panic, our Head of Data can help you when you book a free, hands on session.
Score above 8?
You’re AI Ready. It’s time for a free, hands on session with our Head of AI, David Stubbs
You do not need another glossy AI pitch. You need a clearer starting point.
Like what you've seen?
Arrange a no-obligation call with our team to discuss how Assimil8 can help your business unlock potential with data.