Fabric for consultants

An independent consultant's working memory is the bottleneck. You're carrying context for five clients simultaneously: what was decided on the last call with Client A, what the deliverable timeline is for Client B, what research you promised Client C, what the open invoice looks like for Client D, and what the political dynamics are at Client E. Each client deserves your full attention, and each gets a fraction of it because you're constantly context-switching and spending the first ten minutes of every session reconstructing where you left off. Your tools don't help because each client's material is spread across the same set of apps, and the only thing separating one client's work from another's is your folder discipline and your memory.

Fabric gives independent consultants a separate, searchable space per client where every document, note, meeting record, and deliverable is findable instantly, with an AI that switches context as fast as you do.

A space per client, a complete context per space

Every client engagement has its own world: the brief, the research, the deliverables, the meeting notes, the emails, the feedback. When these all live in separate apps, switching between clients means mentally reassembling the picture from fragments.

Fabric gives each client their own space. Everything related to that engagement lives together. When you switch from Client A to Client B, you switch spaces, and the full context of Client B is right there: the last deliverable, the open questions, the meeting notes, the research. No reassembly.

AI search reads inside every document, note, and transcript in a client's space and searches by meaning. Ask "what did we agree about the pricing framework" and find the answer from the call two weeks ago. The AI assistant can summarise where an engagement stands, recall past decisions, or prepare you for a client call by pulling together everything from previous conversations.

Search also works across all clients when you need it. If you're drawing on past work from one engagement to inform another, the cross-client search finds it.

Prepared for every client conversation

The best consultants walk into every meeting knowing the full history. The worst walk in and ask "where were we?" The difference is usually whether you had ten minutes to review your notes, and whether those notes are findable.

Record every client call with AI voice notes. The transcript lands in the client space, searchable. Before the next call, ask the AI assistant what was discussed last time, what's outstanding, and what you promised. The briefing takes seconds and draws on the full engagement history.

Forward client emails to email-to-note and they join the client space. The correspondence, the call transcripts, and your notes live together. When a client references something from a previous email, you find it without digging through your inbox.

Share deliverables with tracking and control

Consultants deliver work constantly: reports, analyses, presentations, recommendations. Each send is a question of whether the client has reviewed it and which version they're looking at.

Publish any deliverable with password protection and link analytics. Create named tracking links per client stakeholder and see who has reviewed the work and who hasn't. Update the document in Fabric and the link serves the current version automatically. No re-sending, no version confusion.

For sensitive material like strategic recommendations or financial analyses, the password protection ensures the right people have access. For the full secure-sharing workflow, see data room.

Research that carries across engagements

Consulting research doesn't have to reset with each new client. The industry analysis you did for one engagement might be directly relevant to the next one in the same sector. The methodology you developed, the frameworks you tested, the market data you gathered. All of it has value beyond the engagement that produced it.

Fabric's search works across your entire library, so past research surfaces when it's relevant to current work. Ask the AI assistant to find everything you've gathered about a sector, a methodology, or a business model, and it pulls from across all your engagements. The consultant's library of experience becomes a searchable, compounding asset rather than a collection of closed project folders.

Write your own thinking, frameworks, and methodologies in notes and docs. They're searchable alongside client materials and become part of the knowledge base you build over a career.

Use cases for consultants

The workflows consultants run in Fabric: managing client work and deliverables with per-client spaces and tracked sharing, capturing meeting notes from every client call, conducting research and market research with AI synthesis, maintaining project documentation per engagement, sharing sensitive material via data rooms, pitching with sales collateral and tracked links, and building a personal second brain of consulting knowledge that compounds across engagements.

For guidance on managing client relationships in Fabric, see the guide to working with clients.

A consultant's day in Fabric

Morning. You have calls with three different clients today. Before the first, you open Client A's space and ask the AI assistant to summarise the engagement status and outstanding items. In thirty seconds, you have the full context without re-reading your notes.

The call. You record the conversation with voice notes. The client raises a question about a recommendation you made last month. You search the space and find the section of the report with the supporting analysis. You answer on the spot rather than promising to "get back to them."

Between calls. You switch to Client B's space. Different context, different engagement, different world. The space has everything: the brief, the research, the latest draft, the feedback from last week. You spend ten minutes reviewing the annotated deliverable and make revisions based on the client's annotations pinned to specific spots.

Afternoon. You're writing a proposal for a new prospective client. You search across all your engagements for past work in their sector. The AI assistant finds relevant research, frameworks, and deliverables from two previous clients. The proposal is grounded in experience.

End of day. You publish an updated deliverable for Client C with a tracked link. You check analytics on the proposal you sent to the prospect yesterday. They've viewed it twice. You create a task to follow up tomorrow.

Get started

Give each client their own searchable space and stop losing context to multi-client juggling. Try Fabric free.

For consulting firms managing teams, see Fabric for consultancies. For freelancers managing a broader range of projects and admin, see Fabric for freelancers.

FAQs

Can I create a separate space for each client?

Yes. Each client gets their own space with all engagement documents, notes, meeting transcripts, emails, and deliverables. Spaces are isolated, so one client's material is not visible from another's.

Can the AI brief me before a client call?

Yes. Ask the AI assistant to summarise the engagement status, recall what was discussed in previous meetings, and list outstanding items. The briefing takes seconds and draws on the full engagement history.

Can I record and transcribe client calls?

Yes. AI voice notes capture and transcribe any call. The transcript becomes a searchable part of the client record.

Can I share deliverables with tracking?

Yes. Publish with password protection and link analytics. Create named tracking links per stakeholder. See who has reviewed the work and follow up with signal.

Can I search across all my clients at once?

Yes. Search within a specific client space for focused results, or across your entire library to find past work, research, or methods from any engagement.

Can I draw on past engagements for new proposals?

Yes. Search across all your client spaces for relevant past work, research, and frameworks. The AI assistant can synthesise across engagements in the same sector or with similar challenges.

Can clients annotate my deliverables directly?

Yes. Annotations let clients pin feedback to the exact spot on any document, PDF, or file. The feedback is specific and attached to the work.

Can I forward client emails into the engagement space?

Yes. Forward any email to email-to-note and it becomes a searchable part of the client record alongside transcripts, notes, and deliverables.

Can I track tasks and follow-ups per client?

Yes. Tasks and reminders live in the client space alongside the documents and context they relate to. Nothing falls between "I should send that" and doing it.

Can I manage my pipeline of prospective clients?

Yes. Use spaces for prospective engagements with proposals, meeting notes, and follow-up tasks. Use a kanban board to visualise your pipeline. See the CRM use case for the full pattern.

Can I use Fabric on my phone between meetings?

Yes. The mobile app lets you record voice notes, jot thoughts, search your workspace, and capture ideas between client meetings. Everything syncs to your library.

Is client data secure?

Yes. Fabric uses AES-256 encryption and is CASA Tier 2 compliant. Each client space is isolated and private by default.

How is this different from using a project management tool?

Project management tools track tasks and timelines. Fabric holds the knowledge: meeting transcripts, research, deliverables, client correspondence, and the context behind every decision. The PM tool tells you what's due. Fabric tells you what was said, decided, and delivered.