Every deliverable in the client's brand, without the formatting hours. A built-in AI agent, real spreadsheets, and presentations built in each client's own template, so the report, the model behind it, and the readout deck come out of one workspace.
Client work is deliverable work: findings reports, proposals, models, readout decks. The analysis takes hours and the formatting takes just as long, on every engagement, for every client's brand. Skybits is an AI collaborative document editor where the output is already a client-ready document, a spreadsheet with working formulas, or a deck in your client's template. Use the built-in Skybits agent with no setup, or connect ChatGPT, Claude, Cursor, or Gemini over MCP when you want a specific model. Both write to the same documents, under the same review gate.
1. Draft the First Client Deliverable with a Built-In AI Agent
Why Every Consultant Configures a Tool Before Day One
A new engagement starts and you want a first draft today. The AI tool wants an API key or an MCP client configured, and every consultant on the team needs the same setup before they can contribute.
How the Built-In Skybits Agent Gets the Team Working Immediately
Open Skybits and ask. The built-in Skybits agent creates the deliverable with the structure you specify, and every consultant on the team has it from day one, with no local configuration. When a specific model suits a specific task, connect ChatGPT, Claude, Cursor, or Gemini over MCP. Both work on the same documents.
Example Prompt: Generate a Discovery Findings Report
"Create a discovery findings report for a retail client. Include Executive Summary, Current State, Key Findings with evidence, Recommendations ranked by effort and impact, and a proposed roadmap."
What You Get: A Structured Deliverable on Day One
- A structured deliverable in minutes, on day one of the engagement
- No per-consultant setup before the team can contribute
- The same documents open to your own model over MCP when you want it
2. Keep the Cost Model Next to the Deliverable It Supports
Why a Client Question Sends You Hunting Across Three Tools
The findings report lives in a doc, the cost model lives in a spreadsheet in another tool, and the project tracker lives in a third. When the client questions a number in the readout, you are searching three tools for the source.
How Skybits Spreadsheets Hold the Model Under Client Permissions
Skybits spreadsheets are full documents: multiple tabs, real formulas, conditional formatting, named ranges. Ask the agent to build the savings model, the audit workbook, or the workstream tracker, and keep it beside the report that cites it, under the same client permissions. Export to XLSX, ODS, or CSV when the client wants the working file.
Example Prompt: Build a Cost-Savings Model
"Build a cost-savings model with one tab per workstream, formula columns for annual saving and payback period, and a summary tab that totals savings by year. Flag anything with payback over 18 months."
What You Get: Clean Handover as XLSX, ODS, or CSV
- Deliverables and models in one workspace, under one client permission set
- Working formulas and conditional formatting, not a pasted table
- Clean handover as XLSX, ODS, or CSV
3. Produce Readout Decks in Each Client's Own Brand Template
Why Reformatting into a Client's Template Is Unbillable Time
Every client has their own template, and the readout deck is the last thing standing between finished analysis and the meeting. Reformatting content into a client's layout is billable hours nobody wants to bill.
How to Keep One Client-Branded AI Presentation Template per Account
Upload the client's deck once and set it as a template. From then on, ask for a presentation and it is built in that template. No file from the client? Ask the agent, or your own model over MCP, to build the template from their website's brand styles, and it is constructed from scratch. Keep one template per client. Decks are Canvas documents: share by link or export to PDF.
Example Prompt: Generate a Steering Committee Deck
"Create a steering committee deck from the client's template: engagement status, key findings, recommendations, and next steps. Use the findings report and the savings model as sources."
What You Get: A Reusable Template per Client, Set Up Once
- A reusable template per client, set up once
- A brand template built from the client's website when they send no file
- Decks generated from the reports and models you already produced
4. Review Every AI Change Before the Client Sees It
Why One Hallucinated Figure Costs Years of Credibility
Your name is on the deliverable. One hallucinated figure or one off-tone paragraph in a client document costs credibility that took years to build. Chat tools give you no review step.
How Suggest Mode Supports Partner Review and Quality Control
Suggest Mode holds every AI edit as a pending proposal. Whether it came from the built-in agent or from your own model over MCP, you see the tracked diff, accept what is right, reject the rest. Version history records who proposed what, which matters when a partner reviews the file.
Example Scenario: Rewriting an Executive Summary in the Firm's Voice
You ask for a tighter executive summary. Six edits come back. You accept four, rewrite one in the firm's voice, and reject a recommendation the client has not agreed to yet. Three minutes, and nothing reached the client unread.
What You Get: Nothing Reaches the Client Unread
- A human approval gate on every client-facing change
- Accept or reject per suggestion, not all or nothing
- Clear attribution for partner review and quality control
5. Run Client Review Cycles on the Deliverable Itself
Why Consolidating Client Feedback Takes Longer Than Writing
You send a draft. The client returns a marked-up PDF, a stakeholder emails separate comments, and a third person replies to the wrong thread. Consolidating three rounds of feedback takes longer than writing the draft.
How Role-Based Access Works for Your Team and the Client
Share with role-based access: your team as editors, client stakeholders as commenters, their leadership as viewers. Feedback lands as inline comments anchored to the exact text. Ask the agent to revise a section from a thread, review the suggestion, resolve the thread. One link that always shows the current version.
Example Workflow: Handling a Client Constraint Mid-Review
- The client comments on a recommendation: "This assumes we keep the current vendor, and we are re-tendering in Q4."
- You reply in-thread, then ask the agent to revise the section with that constraint.
- The suggestion appears, you accept it, and the thread is resolved. The client sees the update at the same link.
What You Get: A Complete Record of Every Client Round
- All client feedback on the deliverable, not across PDFs and inboxes
- Role-based access for your team and the client's stakeholders
- A complete record of what the client raised and how it was resolved
Skybits for Consultants and Agencies at a Glance
| Capability | What it replaces | Impact |
|---|---|---|
| Built-in agent | Per-consultant AI setup before work starts | The whole team productive on day one |
| Spreadsheets | A separate tool for every client model | Deliverable and model under one permission set |
| Canvas decks per client template | Reformatting content into each client's brand | Non-billable formatting hours removed |
| Suggest Mode | Manually checking AI output before sending | Nothing reaches the client unreviewed |
| Role-based sharing | PDF markups and scattered email feedback | Client review cycles on the document |
| MCP with your own model | Copy-pasting between AI tabs and deliverables | Any model, one workspace |
Skybits vs Google Docs, Notion AI, and Claude Artifacts
| Looking for… | The alternative | Why consultants choose Skybits |
|---|---|---|
| Google Docs alternative for AI | Google Docs plus an AI sidebar | Google Docs bolts AI on. Skybits has a built-in agent, MCP access for your own model, and a real suggest-and-reject workflow before anything reaches a client. |
| Notion AI alternative for documents | Notion AI | Notion locks you to one model. Skybits gives you a built-in agent and any MCP model, plus spreadsheets with real formulas. |
| AI presentation maker | Generic AI deck tools | Generic tools give you their template. Skybits builds decks in each client's template, from an uploaded file or from the client's website styles. |
| Claude Artifacts alternative | Claude Artifacts | Artifacts live inside a chat session. Skybits turns the output into a persistent, shareable client deliverable with version history. |
Frequently Asked Questions
Does every consultant need to configure a tool before contributing?
No. The built-in Skybits agent works from an empty workspace, so the whole team is productive from day one of an engagement with no API key, MCP client, or local install.
Can Skybits build decks in each client's own template?
Yes. Upload a client's deck once and set it as a template, and keep one template per client. When the client sends no file, the agent can construct the template from their website's brand styles.
What stops AI output from reaching a client unreviewed?
Suggest Mode holds every AI edit as a pending proposal. You see the tracked diff, accept what is right, and reject the rest. Version history records who proposed what, which matters when a partner reviews the file.
Can the client comment directly on the deliverable?
Yes. Share with role-based access: your team as editors, client stakeholders as commenters, their leadership as viewers. Feedback lands as inline comments anchored to the exact text, and the link always shows the current version.
Can we hand over the working spreadsheet at the end of an engagement?
Yes. Skybits spreadsheets have multiple tabs, working formulas, conditional formatting, and named ranges, and export cleanly to XLSX, ODS, or CSV.
Can we use a specific model for a specific client task?
Yes. Connect ChatGPT, Claude, Cursor, or Gemini over MCP. Your own model and the built-in agent write to the same documents under the same review gate.
Start with One Deliverable
Take the findings report due on your current engagement and ask for the first draft. Nothing to configure, and the whole team can work in it the same day. If it removes the formatting hours from one readout, set up the client's template and it removes them from every readout after that.
