The judgement behind decisions is not written down.
Approvals, exceptions and client history sit in inboxes, chats and the experience of senior staff. An agent cannot use what the business has not recorded.
The Intelligence Layer
Where enterprise AI becomes enterprise intelligence.
A business runs on what its people know, and its AI knows none of it. The intelligence layer gives agents on SuperBrains the enterprise's knowledge, memory and skills, and keeps them current as the work goes on.
The Problem It Solves
Agents repeat work the business has done before.
An agent that handled the same case last month has no record of what it decided, so the work and its cost are repeated.
Knowledge, memory and skills, in one layer.
The intelligence layer holds the enterprise's knowledge, what it has written down; its memory, what it has decided, kept between conversations; and its skills, how it does its work, written once and reused by every agent.
Knowledge
What the enterprise has written down.
Memory
What it has decided, kept between conversations.
Skills
How it does its work, written once and reused by every agent.
In the product, the intelligence layer appears as Brain.
It keeps learning after go-live.
After each run, the platform records what was decided, so the next run starts from it. The intelligence layer continues to learn after go-live, each time an agent runs.
Many context layers are filled during a project, through interviews, workshops and recordings. This one continues to fill as agents run.
It lets out-of-date knowledge fade on purpose.
Each memory carries a confidence score that falls as time passes without confirmation. Memories a person has confirmed fall more slowly and are not retired automatically. Unconfirmed memories that fall below a threshold are retired.
- Facts and decision rules about 140
- Procedures and policies about 350
- Relationships about 700
- Skills about 1,400
New facts are compared with what the layer holds, so the same fact is not stored twice and possible contradictions are checked.
Skills come from your organisation's own work.
Procedures of two or more steps are saved as skills that other agents can reuse. Your team can write and edit skills in Agent Studio.
Calculations run as code.
Spreadsheet calculations run as code on the platform. The model writes the query and reads the result.
Scoped by function, governed like the rest of the platform.
Intelligence can be scoped to a function, such as credit, collections or R&D, with a firm-wide layer above. Access follows roles. Extracted knowledge is queued for your team to review. The layer sits in your tenant, outside any model, so changing models does not lose it.
How the layer is filled, and what happens to old knowledge.
| Context layers filled during a project | The SuperBrains intelligence layer | |
|---|---|---|
| When it learns | During discovery and delivery | After each run, for as long as agents are in use |
| What happens to old knowledge | Varies; often kept until removed | Loses confidence over time and is retired unless confirmed |
| Where skills come from | Often a vendor catalogue built across clients | The organisation's own procedures, alongside ready-made agents |
| Where it sits | Varies | In your tenant, outside any model |
Comparison of approaches, October 2026, based on public product information.
Next Step