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Client delivery

AI-assisted consulting work, from brief to reviewed deliverable

Bring client documents, your methodology and a clear question into a project room. Work with AI specialists to develop and challenge a draft, then edit the report and decide what is ready for your client.

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The conditions

The kind of work this model is built around

Not a segment and not a company size — a set of operating conditions. Where most of these hold, a delivery system earns its keep; where they don’t, it probably doesn’t.

  • The engagements are high-value and knowledge-intensive, and each one is different.
  • Synthesis and quality control still land on the most senior calendar.
  • The outputs are documents: diagnoses, strategies, roadmaps, decision memos.
  • A repeatable method is applied to client situations that are nothing alike.
  • AI is already in use — through individual tools and personal prompts, not a shared way of working.
  • Capacity needs to grow faster than headcount can.
  • Client confidentiality is non-negotiable, and a human reviews everything before it reaches the client.

The bottlenecks

Where delivery breaks

  • Senior expertise becomes the bottleneck

    Founders and senior consultants get pulled into research, synthesis, review and rewriting on every engagement at once — the firm can only move as fast as its most senior calendar.

  • Too much is rebuilt from scratch

    The method repeats, but the client context, the analysis and the deliverable structure are reconstructed by hand each time — in scattered chats, folders and heads.

  • AI use is fragmented

    Consultants each use their own tools and personal prompts. Quality varies by person, nothing is reviewed the same way twice, and the firm learns nothing from any of it.

The model

The client delivery room

A delivery room is a project container within a Launchpad workspace, dedicated to one client or engagement. It holds the client context — discovery notes, documents, previous decisions — alongside the firm methodology that applies, and it is where your AI specialists, your working sessions and your deliverables live for that engagement.

The specialists themselves are durable: you define a researcher, an analyst, a critic, a validator once — their role, expertise and standards — and they show up the same way in every room. The room supplies the client context; the specialist supplies the craft. Their reusable definitions and the room’s content have separate scopes and access rules.

Workspace roles, room access and content scope govern which material may be used. Review client details before sharing a lesson beyond its project room. The How it works page explains the mechanics.

The workflow

How an AI-assisted consulting workflow runs

Start with a specific decision and a named deliverable. Supply the evidence you have, make the gaps explicit, and agree what you will check before presenting the work.

  1. Open a client delivery room

    Give the client or engagement a project room within your workspace. Keep its context, sessions, drafts and deliverables together, with room access and content permissions set for the people doing the work.

  2. Bring in the context

    Add discovery notes, workshop transcripts, research, client documents, previous decisions and the firm methodology that applies. The room starts informed.

  3. Run the expert team

    Bring together the relevant AI specialists — a lead, the domain experts, a critic and a validator — in a structured working session on the real question.

  4. Review the reasoning

    The critic challenges weak assumptions; the validator sorts supported from unsupported claims. You see the evidence, the risks and the unresolved questions — not just a confident answer.

  5. Deliver the result

    Turn the work into an editable report you refine and approve, with a validation pass over it before it goes out. Then generate the polished, client-facing deliverable — export it as a PDF, send it by email, or share it with the client through a secure recipient link.

  6. Reuse what belongs to the firm

    Promote the approved, generalisable methods and lessons into the firm’s knowledge — deliberately, on your call — while the client’s context stays in its room.

For a strategy engagement, that might mean bringing interview notes, client research and agreed constraints together to develop a diagnosis. Check each proposed finding against the source material, resolve conflicting evidence, and decide which options belong in the recommendation. See the strategy consulting workflow for the inputs, review steps and decisions that remain yours.

Quality

Challenge and validation are part of the process

Structured review reduces cheerleading, weak logic and unsupported claims — and the final judgment stays yours. There is no automatic quality guarantee, and we won’t pretend otherwise.

  • Specialists contribute

    Each AI specialist works its own angle — research, analysis, drafting — inside one structured session.

  • The critic challenges

    A dedicated critic role questions weak assumptions, thin logic and convenient conclusions before you ever see them.

  • The validator checks claims

    A validator role sorts what the evidence supports, what it contradicts, and what remains unresolved.

  • You edit and approve

    The Report Canvas is yours: restructure it, rewrite it, cut what you disagree with — with version history behind you.

  • Nothing ships itself

    The polished deliverable is generated from the report you approved. The final call — and the client relationship — stays human.

Outputs

From working session to client-ready deliverable

A session’s work lands in an editable, versioned Report Canvas. When you’ve reviewed and shaped it, Launchpad generates the polished, client-facing Design Canvas — exported as a PDF from your browser or sent by email.

  • Executive diagnosis

    What goes in
    Interview notes, internal documents and discovery material.
    What Launchpad analyses, challenges and validates
    Specialists structure the analysis; the critic challenges the findings; the validator separates what the evidence supports from what it doesn’t.
    What the client receives
    A client-ready diagnosis with defensible findings and prioritised actions.

  • Commercial strategy

    What goes in
    Market evidence, client constraints and previous decisions.
    What Launchpad analyses, challenges and validates
    Strategic options are developed and stress-tested; assumptions are made explicit before a recommendation is made.
    What the client receives
    A recommendation with implementation priorities the partner has reviewed and stands behind.

  • Workshop synthesis

    What goes in
    Workshop notes, transcripts and captured decisions.
    What Launchpad analyses, challenges and validates
    Themes and contradictions are mapped; open questions are separated from settled decisions.
    What the client receives
    A decisions-and-actions package ready to send back to the room.

  • Transformation roadmap

    What goes in
    Current-state findings and the client’s ambition.
    What Launchpad analyses, challenges and validates
    Workstreams, dependencies and feasibility are worked through and challenged before anything is sequenced.
    What the client receives
    A sequenced 90-day or multi-phase roadmap in client-facing form.

Explore consulting deliverable types →

Firm IP

Your methodology compounds

The most expensive thing a firm loses is what it just learned. In Launchpad, the reusable parts of an engagement are assets you keep: specialist and team definitions carry your methods into the next room, and approved, generalisable team knowledge can be copied into another team when you decide it should be.

Review each lesson before making it shared knowledge: remove client details and check its intended readers. Screening can help identify sensitive content, but it can make mistakes.

Confidentiality

Isolation you can explain to your client

  • One client, one room

    Each engagement can have a room inside your organisation’s workspace. Room access and content permissions govern the project’s audience.

  • Enforced by the database

    Launchpad uses database row-level security and permission checks for workspace, room and content access. Content scope and the caller’s rights determine which stored material may be read or used.

  • Scoped memory and knowledge

    Memory and knowledge have explicit scopes. Workspace knowledge can be used across rooms by authorised members; project material follows its room and content access rules.

  • Controlled access

    Workspace roles decide what each member can see and do; integration writes wait for your explicit approval.

  • Your data, your rights

    Export and deletion are built in, and the full security posture — including the sub-processor register — is published on the Security & trust page.

The complete Security & trust page →

Bring one live engagement

An active client challenge, the context you already have, and the deliverable it must become — that’s all a walkthrough needs. We’ll set the room up with you.

Walk through your use case with us