Service Detail

swarm-brain

Turn scattered conversations and decisions into organisational memory.

We organise conversations, decisions, and client-approved documents into shared context that role-based AI can carry into the next task. People approve critical actions.

Client-approved materials organised into shared context, with people approving critical actions

When memory is scattered, important context has to be recovered for every task.

When conversations, decisions, and documents live apart, the next person has to find and verify the context again. swarm-brain organises only approved material into shared context.

Start with three approved sources

Conversations

Organise context from work conversations that needs to carry forward.

Decisions

Keep chosen directions and their rationale available to the next task.

Documents

Connect client-approved documents to the context role-based AI can use.

Nothing is collected automatically. For each engagement, we agree the client-provided or client-approved materials and access boundaries.

How does organisational memory work?

Can conversations and documents become organisational memory?

swarm-brain organises client-approved conversations, decisions, and documents into shared context that role-based AI can carry forward. For each engagement, we agree the access boundary, retention and deletion rules, and the actions people must approve. It does not automatically store public-site material or act without approval.

Before & After

Explain once, remembered from then on

You won't need to re-explain yesterday's approach the next day. The same specialist picks up that memory and handles it the same way.

Day one

Set it once

  1. Owner: Keep review replies short in the owner's voice, and always add a thank-you for coming back at the end.
  2. Operations specialist: Got it. I'll save that and prepare review replies this way from now on.
The next day

It carries on from there

  1. Owner: Can you reply to the five new reviews from this week?
  2. Operations specialist: I've drafted all five in the voice and return-visit thank-you you mentioned before. Just review them before they go out.
Memory carries over

Organise memory as Messages, Moments, Topics, and Rules

Starting with raw conversations and decisions, context is structured into topics and rules so role-based AI can use what the next task needs.

Memory builds in four layers

Raw conversations accumulate at the bottom; higher up, only the essentials remain and become rules.

  1. Rules

    Repeated standards and human approval points

  2. Topics

    Work topics that bundle related memory

  3. Moments

    Decisions and feedback worth retaining

  4. Messages

    Client-approved raw conversations

Role-based AI

Roles with distinct responsibilities — sales, operations, engineering, content — can carry the same context into their work.

Human approval

We agree where AI supports the work and where a person approves the outcome.

Human approval

Role-based AI carries work forward; people approve critical actions.

Shared context connects work across roles, while execution boundaries and approval points are agreed with the client.

Memory

Scattered workIt must be found again for the next task.

Work with shared contextApproved context carries to the next role.

Roles

Scattered workContext breaks between roles.

Work with shared contextRole-based AI can refer to the same context.

Standards

Scattered workDecision rationale gets scattered.

Work with shared contextDecisions and standards are structured to support the next task.

Approval

Scattered workApproval points are unclear.

Work with shared contextPeople review and approve critical actions.

Design together, then operate as a managed service

We first confirm client material and approval boundaries, connect memory, and operate the agreed service.

  1. Diagnose and design

    Agree the roles, approved materials, access boundaries, and human approval points.

  2. Connect memory

    Organise client-approved conversations, decisions, and documents into shared context.

  3. Managed operations

    Role-based AI carries work forward within the agreed scope; people approve critical actions.

Different starting points, the same journey.

swarm-consulting diagnoses direction and boundaries, swarm-brain connects approved material into shared context and operates it as a managed service, and swarm-connect handles execution that is already decided.

Frequently asked questions

What material does it handle?

Only conversations, decisions, and documents the client provides or approves for access are in scope. We do not promise automatic collection or public-site storage.

How is the material separated and managed?

We agree client separation, access boundaries, retention, and deletion rules for each engagement.

Does AI immediately execute critical work?

No. We first agree role-based execution boundaries and human approval points. People approve critical actions.

How is this different from an existing AI tool?

It organises approved conversations, decisions, and documents into shared context that role-based AI can carry into the next task.

Can we upload or store material on this website?

No. This website introduces the service and accepts enquiries only. The operating environment and material handling are designed separately for each engagement.

Design today's conversations and decisions to become context for the next task.

Custom scope - designed in a meeting

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