AI Document Drafting with Human Approval
A workflow that produces first drafts of routine documents from your data and templates, then holds them for review and sign-off before they are sent or filed.
The problem
Proposals, contracts, letters, quotes and reports are often assembled by copying an earlier version and changing the details. It is tedious, and mistakes creep in: a wrong name, an out-of-date clause, or a figure left over from a previous client. The people best placed to review the content end up doing the clerical work first.
Fully automated generation is not the answer for documents that carry commitments, since errors can have financial or legal consequences. The more useful pattern is to automate the drafting and keep a person in charge of approval, with a clear record of who approved what.
What it automates
Collecting the inputs for a document from a form, CRM record or earlier conversation
Filling approved templates with the correct details and clauses
Using AI to draft or adapt descriptive sections, such as a summary or scope, from your source material
Checking for missing information and inconsistencies before review
Sending the draft to the named approver with the source data alongside
Recording comments, revisions and the final approval
Sending or filing the approved document in the right place
Before and after
Staff copy an old document and edit details by hand, sometimes leaving stale information.
Drafts are built from an approved template and current data.
Reviewers do clerical work before they can check the substance.
Reviewers receive a completed draft with source data alongside, ready to check.
Approval happens over email threads, and the final version is unclear.
A named approver signs off, and comments and the final decision are recorded.
Missing inputs are discovered late, after the draft has been shared.
Missing or inconsistent information is flagged before the draft reaches the reviewer.
How it works
Choose the documents
We start with one or two document types that are frequent and fairly standard, and gather your best existing examples and templates.
Separate fixed from flexible text
We decide which parts must never change, such as legal wording, and which can be tailored. AI is confined to the flexible parts.
Build the drafting flow
Inputs are collected, the template is populated and any generated text is added, with the source of each key fact visible to the reviewer.
Add the approval step
The draft goes to a designated person by email or chat. Nothing is sent until they approve, and rejected drafts return with their comments.
Log and improve
Approvals and edits are recorded. Frequent corrections show us where the template or prompts need adjusting.
A worked example
A worked example
Imagine a recruitment firm that sends a standard engagement letter to each new client. When a consultant marks a client as agreed in the CRM, the workflow collects the company name, contact, fee terms and start date. It fills the firm's approved template, leaving the legal clauses locked exactly as written, and drafts a short description of the service from the consultant's notes. It checks that every field is present and flags a missing billing address. The draft goes to the named director with the source data beside it. The director corrects one line and approves. Only then is the letter sent and filed. The director, not the system, is accountable for the commitment, and the firm remains responsible for the content.
Common variations
Template fill only
The system inserts data into a locked template with no generated text at all. It suits documents where wording must never vary, and it removes copy-and-paste mistakes without introducing AI-written content.
Template plus drafted sections
Fixed clauses stay locked while AI drafts designated sections, such as a scope summary, from supplied source material. The reviewer sees where each key fact came from before approving.
Multi-step approval
Drafts pass through more than one reviewer, for example a manager and then a director, with each approval recorded. It suits documents with higher value or risk.
What we need from you
One or two document types to start with, plus your best existing examples
Approved templates, with the clauses that must never change marked
The source of the data that fills each document, such as a CRM or form
A named approver for each document type
Where approved documents should be sent or filed
What to measure
Time from request to approved document
Share of drafts approved without changes
Errors caught at review, by type
Drafts returned for missing information
Approval turnaround time
Typical integrations
CRM platforms
Document and template tools
E-signature platforms
Cloud storage and document management
Email and team chat for approvals
Forms for collecting inputs
A good fit when
You produce the same kinds of document repeatedly, with varying details
You have approved templates or strong past examples to work from
Someone with authority is willing to review each draft before it goes out
Errors from copy-and-paste editing have caused problems or extra checking
Honest limits
AI can produce fluent text that is wrong. A person must review every draft, and legally binding or financial documents should be checked by someone qualified to do so.
The system does not give legal, tax or financial advice. Locked clauses and templates should come from your own professionals, and you remain responsible for the content.
Documents often contain confidential or personal data, so you need to check how it is processed and stored, including whether a third-party AI service is used.
How we deliver Document Drafting with Approval
Industries where Document Drafting with Approval applies
Use cases related to Document Drafting with Approval
Frequently asked questions
Does a person always approve the final document?
Yes, that is how we design it. The system drafts and checks, but a named approver must sign off before sending or filing. This is especially important for contracts, quotes and anything with a financial or legal commitment.
Can it use our own templates and wording?
Yes. We build around your approved templates, and can lock clauses so they are inserted exactly as written. AI is only used for the sections you designate as flexible, such as a summary of scope.
How do you reduce the risk of made-up details?
We keep generation limited to sections that draw on supplied data, show the reviewer the source for key facts and flag missing inputs rather than filling gaps. Review remains essential, because no method removes the risk entirely.
Which document types work best?
Repeatable, structured documents such as proposals, engagement letters, standard quotes, status reports and routine correspondence. Highly bespoke or high-risk documents are better drafted by a person, with AI limited to supporting research or summaries.
Who is responsible for the content of the final document?
You are. The system produces drafts and a record of who approved them, but the approver and your business own what is sent. Locked clauses should come from your own legal or professional advisers, and compliance stays with you.
What happens when the approver rejects a draft?
The draft returns with the reviewer's comments and is revised or corrected, then goes back for approval. Nothing is sent in the meantime. The rejection is logged, and repeated corrections show us where the template or prompts need improving.