01 · DATA ANSWERS
Ask the question you actually have.
Let people ask about sales, customers or operations in plain language and see where the answer came from.
AI INTEGRATION · AGENTS · REPORTING
AI integration for the systems you already have.
Give your team a faster way to find answers, understand what changed and move work forward. We connect AI to your business data and tools—using what your platform already offers or building the experience you need.
Start with a business question. You don't need to choose an LLM first.
Data answers
Why did margin fall last month?
A clear answer from your data
Returns increased in two product groups while sales stayed broadly steady. The biggest change came from items sold at a higher discount.
Margin trend Sales + returns
Connected to approved business definitions
Work with the tools you already use
- Tableau
- Salesforce
- Looker
- BigQuery
- Snowflake
- Databricks
- ChatGPT
- Claude
WHAT BECOMES POSSIBLE
Less searching. More understanding. A useful next step.
The experience should feel simple to your team, even when several systems are working together behind it.
02 · AI REPORTING
Understand the change behind a number.
Bring useful explanations and follow-up questions into the reports your team already checks.
03 · AI AGENTS
Move from insight to action.
Give an agent a defined job across approved tools, with a person in control of important decisions.
Illustrative experiences, shown to explain what can be designed for your business.
START WITH WHAT YOU HAVE
The AI capability may already be in your platform.
We help you find the useful parts, connect them to the right business definitions and make the answers dependable.
Snowflake
Ask questions about warehouse data using shared definitions of your measures.
What sits underneath
Semantic Views define business metrics; Cortex Analyst answers natural-language questions. Snowflake's managed MCP server can connect those capabilities to AI clients.
Snowflake documentation ↗Databricks
Let teams explore curated data through a conversation, with consistent metrics.
What sits underneath
Unity Catalog metric views define measures; Genie provides natural-language answers and can be connected to other AI experiences through its MCP service.
Databricks documentation ↗Tableau + Salesforce
Bring AI-assisted questions and metric explanations into familiar analytics work.
What sits underneath
Tableau Cloud includes Tableau Agent and Pulse experiences; Tableau Next combines Tableau Semantics with agent-powered analytics. Availability depends on your setup and licences.
Tableau documentation ↗ DataDive on AppExchange ↗Looker + BigQuery
Use Gemini to explore governed Looker data, or connect BigQuery to a tailored AI experience.
What sits underneath
Looker uses LookML definitions to ground Gemini's conversational answers. BigQuery provides data agents and an MCP server for connections to AI applications.
Looker documentation ↗ BigQuery data agents ↗ BigQuery MCP ↗Features and availability vary by subscription, permissions and configuration. We review what your environment can actually support.
Before an AI answer reaches your team, we check: Does it use your agreed meaning of revenue, margin and other measures? Does each person see only the data they should? Can the answer point back to its source? We test with real business questions before choosing a built-in feature or a custom experience.
WHEN YOU NEED YOUR OWN EXPERIENCE
Talk through an integration idea
Your team can use AI where the work already happens.
A custom interface can bring answers and agents into the workflow you choose. We can design around ChatGPT or Claude, connect approved data and tools, and keep the experience focused on a real task.
A screen your people can understand and use
Connections to the systems that hold the context
Clear access rules and review before important actions
Your AI workspaceConnected to your tools
TODAY'S QUESTION
Which orders need a follow-up today?
I found orders delayed beyond your service target. I grouped them by owner and prepared a follow-up list.
Checked againstOrdersCRMService rules
Ready for your reviewView list →
WHY THE ANSWERS MAKE SENSE
Good AI needs to understand your business, not just your database.
We bring the data, definitions and approved connections together so AI has useful context for the job.
Shared meaning for your numbers
If one team means gross revenue and another means net revenue, AI needs to know the difference. A semantic layer holds the agreed definitions and relationships behind your reporting.
Controlled access to your tools
MCP and APIs can let an agent use approved data or tools. We choose the connection that fits the platform, permissions and task, then test the answers and actions it produces.
LET'S FIND THE USEFUL FIRST STEP
Tell us what you wish your systems could answer—or do.
We’ll talk through the opportunity, what your current tools can support and a practical first prototype. No technical brief needed.
Book a free AI discovery call Or call 0401 989 683