- Claude can read a quote and draft a summary. A proposal program for an agency also needs data control, consistency, agency-specific output, and oversight, and those come from the software around the model.
- With CopyCat, client documents stay in your agency’s workspace, are encrypted, and are never used to train, fine-tune, or improve AI models.
- Every account manager produces the same proposal: your template, your section order, your fee and forms rules, applied automatically.
- The finished proposal opens in a built-in document editor, so nobody exports to Word to fix it.
- Agency owners can see proposal activity, carriers quoted, quoted premium, lines of business, and producer activity across the whole organization.
A question we hear on almost every demo now: why not just have our account managers use Claude? It is a fair question. Claude is an excellent model. It reads long PDFs well, writes clearly, and follows instructions. For a single producer with a single quote, it can get surprisingly far.
But an agency does not buy proposals one at a time. It runs a proposal program: dozens of people, hundreds of accounts, client documents full of payroll, loss history, and driver records, and an E&O exposure on every page that goes out the door. The model is one part of that. The rest is where a purpose-built vendor earns its place.
CopyCat at a glance
| CopyCat | |
|---|---|
| Best for | Independent agencies and brokerages writing commercial and personal lines P&C, from small teams to multi-office agencies. Tailored to the core P&C workflows. |
| Key features | State-of-the-art proposal software: carrier quotes to agency-branded proposals, a built-in document editor with an agentic AI assistant, one-page and email summaries to send with the proposal, quote and renewal comparison with no document cap, coverage gap analysis, policy checking, contract review, page-level citations, unlimited file storage, and agency-wide analytics. |
| Data handling | Documents stay in your agency’s workspace, encrypted at rest and in transit, never used to train AI models. SOC 2 Type II audited. |
| Pricing | Per seat, month-to-month. No contract, cancel anytime, a discount for an annual agreement. No implementation charge and no charges per page processed. |
1. Your client data stays in your agency’s workspace
When an account manager drags a loss run or a driver schedule into a personal chat account, that document now lives in an account the agency does not own. The agency cannot see it, cannot set how long it is kept, and cannot delete it when the employee leaves. On consumer AI plans, whether conversations may be used to improve models is usually a setting each individual controls, not the agency.
With CopyCat, the agency is the customer and the documents belong to the agency’s workspace. Every quote, policy, and proposal is:
- Processed under CopyCat’s agreement with your agency, not an individual’s chat account.
- Encrypted with AES-256 at rest and TLS in transit.
- Never used to train, fine-tune, or improve generative AI or foundation models.
- Visible only to your organization, and still there when an employee moves on.
- Covered by an independent SOC 2 Type II audit. The report is available under NDA.
That is the difference between a tool your team happens to use and a system your agency controls. Your clients handed you their documents, not your employees’ personal accounts.
2. Twenty account managers, one proposal
For a medium or large agency, consistency matters as much as speed. Ask twenty account managers to build a proposal in Claude and you will get twenty proposals. Each person writes a different prompt, pastes a different version of the template, and decides on their own which coverages to show. The model may also change between one month and the next. The client sees an agency that looks different depending on who picked up the file.
CopyCat moves those decisions out of the prompt and into the agency’s settings. Your template, cover, colors, section order, disclaimers, and coverage tables are set once and applied to every proposal, by every person, in every office. A new hire on their first day sends the same document as your most senior account manager.
Getting that template right is part of onboarding. CopyCat runs a branding call with your team to shape the proposal for the highest chance of conversion: what leads, how the recommendation reads, which tables earn their place. The final say stays with you. A prompt library cannot do that for you.
| Account managers prompting Claude | CopyCat | |
|---|---|---|
| Template and branding | Whatever each person pastes in | One agency template on every proposal |
| Section order and wording | Varies by prompt | Set at the agency level |
| Coverages shown | Each person decides | Agency rules, applied every time |
| Model and prompt changes | Happen silently, per person | Tested by CopyCat before release |
| New hire output | Depends on their prompting skill | Same document from day one |
3. Features tailored to your agency that nobody would prompt for
The most valuable parts of a proposal are the details the average account manager will never think to ask for, especially at 4:45 on a Friday with three renewals due. These are the kinds of agency-specific behaviors CopyCat builds in, so they happen without anyone typing them:
- Broker fees shown the way your agency presents them, folded into premium or listed separately.
- The expiring premium placed next to each renewal option, so the client sees the change.
- Coverage recommendations drawn from what your own producers usually recommend, not a generic checklist.
- Forms schedules filtered by the title words your agency wants included or left out.
- Vehicle and driver schedules built from the fleet spreadsheet that came with the submission.
- Six-month auto and annual home premiums grouped separately instead of added together.
- Every premium, limit, deductible, and exclusion cited to the page of the carrier document it came from.
- A one-page summary and an email summary of the proposal, in the same brand, ready to send with the full document.
Each of these started as a request from an agency. Once it ships, it is part of the product for that agency on every proposal. With a general chat tool, each one is a sentence someone has to remember to type, every time, and check afterward.
The result shows up in the market. CopyCat agencies with fewer than three people have won accounts against agencies with more than twenty, because the proposal, the one-pager, and the email that went with them looked like the work of a larger firm.
4. Edit the proposal where it was built, not in Word
A chat window hands you text. Someone still has to paste it into the agency template, fix the tables, re-apply the fonts, and then make the real edits in Word. Every round of changes starts that loop again.
CopyCat generates the finished proposal in your template and opens it in a built-in document editor. Click into any page like a Word document and type: fix a value, rewrite the recommendation, reorder sections, adjust a table. Or ask the AI assistant to make the change and it edits the document for you. Revision history sits behind both. When it looks right, export the PDF. There is no export to Word and back.
That editor is a sign of a mature product. CopyCat has been in daily production at independent agencies across commercial and personal lines, and the details that only show up on real accounts (multi-line packages, alternate quotes, fleet schedules, forms lists, mid-term changes) have already been worked through with brokers. A prompt you write today has none of that history.
5. See what is happening across your agency
A chat history tells you that someone had a conversation. It does not tell an agency owner which accounts got a proposal this month, which carriers are being quoted, or which producers are carrying the load.
CopyCat gives the organization a shared view of the work. Proposals are shared across the team, and every edit, export, and send is logged with who and when. The agency dashboard shows:
- Proposals created and finalized each month.
- Carriers quoted and total quoted premium across the agency.
- Mix of business by line, commercial and personal.
- Account exposures such as property values, payroll, and scheduled vehicles.
- Proposal activity by producer.
That is observability a principal or operations leader can act on: coaching, capacity, carrier relationships, and an E&O paper trail that builds itself.
When Claude is the right tool
General AI is useful in an agency. Drafting a client email, summarizing an industry article, brainstorming a marketing post, or explaining a coverage concept to a new hire are all good uses. The line is client documents and client deliverables. When the output carries your agency’s name, quotes a premium, and could be read in an E&O claim, you want it produced by a system your agency controls.
Claude vs insurance proposal software: summary
| What the agency needs | Claude used by individual staff | CopyCat |
|---|---|---|
| Where client documents live | Individual chat accounts | The agency’s CopyCat workspace |
| Model training on client data | Depends on plan and each user’s settings | Never |
| Agency template and branding | Pasted in by each person | Applied automatically |
| Consistent output across the team | No | Yes |
| Agency-specific rules (fees, forms, sections) | Only if someone prompts for them | Built in |
| Citations to the carrier page | Not by default | Every material value |
| Editing the finished proposal | Paste into Word and reformat | Built-in document editor, no export needed |
| Documents per comparison | Upload and context limits per chat | No cap |
| Agency-wide analytics and activity log | No | Yes |
| Hands-on setup and support | Self-serve | CopyCat builds your template |
For a deeper look at accuracy on carrier documents, read CopyCat vs ChatGPT for insurance proposals. To compare dedicated vendors, see the insurance proposal software guide.
Frequently asked questions
Can I use Claude to make insurance proposals?
You can use Claude to summarize a quote or draft proposal language. For an agency, the gaps are data control, consistency across staff, agency-specific formatting, source citations, and visibility into the work. Insurance proposal software like CopyCat provides those around the AI.
Does CopyCat use my clients’ documents to train AI?
No. Customer data is never used to train, fine-tune, or improve generative AI or foundation models. Documents stay in your agency’s workspace and are encrypted at rest and in transit.
Why does consistency matter more for larger agencies?
The more people who send proposals, the more versions of your agency a client can see. Agency-level templates and rules make every proposal look and read the same, regardless of who built it.
Can agency owners see what their team is doing in CopyCat?
Yes. Proposals are shared across the organization, changes are logged with who and when, and the agency dashboard shows proposal activity, carriers quoted, quoted premium, lines of business, and producer activity.
See it on your own renewal
Bring a real quote packet and the proposal your team sends today. Book a 15-minute demo and we will build it in your format, with citations, so you can compare it against what your team gets from a chat window.