Applied intelligence / Capabilities
Company brain
Your business knowledge. Finally connected.
Bring business data and organisational knowledge into the same conversation. A shared warehouse, monitored connections and a permission-aware AI layer let people explore what is happening, understand why and decide what to do next.
For growing organisations whose knowledge has outgrown their systems.
A question is only the beginning.
A few examples of what the right build can make possible. Your sources, rules and people shape the real thing.
One question. More than one source.
Are we buying attention, or creating qualified demand?
In this fictional example, paid clicks increased while CRM-qualified opportunities stayed flat. Review campaign-to-opportunity mapping before increasing spend: traffic alone cannot explain revenue.
Inputs & source evidence
- 01Google Ads / campaign export
Spend and clicks, grouped by campaign and reporting period.
- 02GA4 + GSC / acquisition extracts
Landing-page sessions and organic queries; different attribution and privacy limits remain visible.
- 03CRM / opportunity snapshot
Qualified stage and campaign reference; unmatched records are excluded and flagged.
Take the next step
- Evidence read
- 02 / Review
- 03 / Local outcome
What could change
in your business?
- 01
Connect GA4, Search Console, advertising and CRM records to understand which activity produces valuable customers.
- 02
Combine account history, support tickets and calls to prepare renewal and risk briefings.
- 03
Make approved documents, SOPs and company knowledge easier to question with source references.
- 04
Give leaders a shared view of revenue, service, capacity and operational exceptions.
Not just possible.
Put into practice.
A useful result, the work behind it, and the people who keep it working.
A mapped data foundation with agreed definitions, source ownership and monitored ingestion.
Permission-aware AI access with source context, freshness and uncertainty made visible.
Useful business question workflows and controlled next actions connected to your existing systems.
- 01
Understand the work
Map the current workflow, the people involved and the change that would make the effort worthwhile. Confirm access, constraints and dependencies.
- 02
Design the first release
Agree the scope, data flows, permissions, acceptance checks and who owns each decision. Choose technology around those requirements.
- 03
Build and test
Implement the working solution. Test representative scenarios, edge cases and recovery with the people who will use it.
- 04
Launch and improve
Prepare documentation, training and an operating runbook. Agree monitoring, support responsibilities and the next improvements.
Good questions.
Clear answers.
Does every document go into the data warehouse?
No. Structured records can be centralised while documents remain in their source systems and are retrieved within the user’s permissions. The architecture depends on the sources and requirements.
Can teams ask their own questions?
Yes. We design the experience around the questions people actually need to answer, with shared business definitions and access controls.
Can it take action as well as answer?
Where the scope allows it. Drafting a brief, creating a task or preparing an update can follow an answer. Sensitive or consequential actions remain behind explicit approval rules.
Enough about
what could work.
What should work for you?
Meet Paloren. She has a few questions.
And, apparently, somewhere else to be.