AI for consultants, from question to deliverable.
Turn a client question into a sourced deliverable without the four-tool scramble. Research the market, synthesise the reading, draft across AI models and keep every claim traceable — so the brief holds up in the room.
Scope the question[1]
Synthesise the inputs[2]
Draft across models[3]
Keep a reusable record[4]
Example workflows
What it looks like end to end.
Market-entry brief
Research the market, size the opportunity, profile the incumbents and draft the recommendation — each section sourced — then export a brief the client can read and a record your team can reuse next time.
Expert-call synthesis
After a round of expert calls, collapse the notes into the three things that actually matter for the recommendation, with the supporting quotes attached.
What you can do
Four moves, one workspace.
The concrete work behind "ai for consultants" — not a feature list.
- 01
Scope the question
Open a notebook per engagement; branch threads for the market, the players and the recommendation so structure mirrors the deck.
- 02
Synthesise the inputs
Pull reports, interviews and articles into one place and draft the synthesis with sources attached.
- 03
Draft across models
Switch AI models mid-thread for framing, rewriting or stress-testing the argument — keep the whole history.
- 04
Keep a reusable record
File the artefact and the underlying sources so the next similar engagement starts from a template, not a blank page.
The stack under the work
The workspaces this job runs on.
Listed in the order the work moves through them, each carrying its live status.
Research
Notebooks that read, synthesise and reference. Branch, version, merge — turn a question into a defensible answer.
Open ResearchWhat it reads against
Consulting work is only as good as its sources.
The reference collections this job draws on. Each is a page you can open and read before you trust a single answer.
- Papers, preprints and the data behind themOpen-access research read in full — with the datasets a finding rests on kept alongside the write-up.
- Reporting from thousands of publishers, de-duplicatedThe day's coverage read as it is published, with outlets running the same wire copy recognised as one story.
- Reference knowledge, read from the wikis that maintain itThe settled account of a subject, read from the maintained entry rather than a copy of it.
How industries describe themselves, in their own words
Trade bodies and companies explaining their own market — where segment names and category definitions actually originate.
documentsCollections are libraries the workspaces read from, kept as what they are rather than flattened into one pile. See the full collection breakdown.
Questions
Frequently asked.
Different job? Browse every use case or start from your industry.
Can askFinz help write client deliverables?
Yes. You research and synthesise in one workspace, draft across multiple AI models in a single thread, and keep every claim traceable to its source so the deliverable is defensible.
Can I reuse work across engagements?
Filed artefacts and their sources are versioned and searchable, so a similar engagement starts from a template and a searchable record rather than a blank page.
Is my client material kept separate?
Each engagement lives in its own notebook and storage, and search respects what you've organised — the workspace mirrors how you'd separate client work yourself.
For consultants
Put it to work.
Request private access and we will walk through the workspaces this job runs on.
- workspaces in access
- 4 workspaces in access
- worked examples
- 2 worked examples
- reference collections
- 4 reference collections
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