AI prompts for Statement Of Work: 18 Templates Across ChatGPT, Claude And Gemini

A statement of work is the only document in the sales-to-delivery handover that has to hold up under both commercial and legal scrutiny. Get the scope wrong and you deliver the wrong thing. Get the acceptance criteria wrong and you cannot tell when you are finished. Get the change control wrong and every client request becomes a negotiation. The SOW is where good intent turns into operational reality.

That is why an effective AI prompt for statement of work writing reads less like a sales pitch and more like a contract clause. The 18 templates in this guide, six each for ChatGPT, Claude and Gemini, treat the SOW as the working document it actually is. ChatGPT handles drafts and amendments quickly. Claude is the precision tool for acceptance criteria, IP clauses and multi-party engagements. Gemini grounds the document in current industry-standard practice and regulatory language.

Why AI Works Well For Statements Of Work

An SOW is a structured contract. Sections, scope, acceptance criteria, milestones, change control. AI handles structured legal-leaning documents well when you give it the right brief. A strong, structured prompt produces a usable draft in one pass.

Each Model Plays A Different Role

ChatGPT is the most flexible for general drafting and quick clause rewrites. Claude handles long discovery input and tightly worded clauses best. Gemini is useful when you need to pull in industry-standard language for a specific type of engagement.

In-Scope And Out-Of-Scope Are Equally Important

Most SOWs name what is included and stay silent on what is not. Strong SOWs do both, explicitly. Every prompt below treats out-of-scope as a required section.

Acceptance Criteria Prevent Most Disputes

A deliverable without a definition of ‘done’ is a dispute waiting to happen. Every prompt here forces the model to write acceptance criteria for each deliverable in plain language.

Change Control Belongs In Every SOW

How requests get raised, who approves, how cost and timeline are re-baselined. Bake the change control process into the SOW and you save your future self a difficult conversation.

ChatGPT prompts For Statements Of Work

ChatGPT is the flexible workhorse for SOW drafting. It handles complete SOWs, quick clause rewrites and amendments. These six ChatGPT prompts to write an SOW cover the situations agencies, consultants and delivery leads face every week. Each ChatGPT prompts to write an SOW below is built around a specific scenario, so you can pick the right ChatGPT prompts to write an SOW for the job rather than starting from a blank page.

1. Full Statement Of Work From Scratch

Act as a delivery lead writing a precise statement of work
that protects both sides from scope creep.
 
Engagement:
- Client: [name]
- Project: [what you are delivering]
- Start date: [date]
- Duration: [timeframe]
- Key deliverables: [list them]
- Pricing model: [fixed fee, milestone-based, time and materials]
- Known constraints: [budget, deadlines, dependencies]
 
Write a complete statement of work with these sections:
1. Background and purpose
2. Objectives, stated as outcomes
3. In-scope items, listed explicitly
4. Out-of-scope items, listed just as explicitly
5. Deliverables, each with acceptance criteria
6. Milestones with target dates
7. Pricing and payment schedule
8. Assumptions
9. Dependencies (on us and on them)
10. Change request process in two or three sentences
11. Roles and responsibilities on both sides
12. Termination and exit terms
 
Rules:
- Be specific enough that a stranger could tell whether each
  deliverable was met.
- Where something could be ambiguous later, pin it down now.
- Neutral, professional tone. Plain language.

​

Where it works best: ChatGPT produces a complete, well-structured first draft with the level of scope detail an SOW needs. This is the ChatGPT prompts to write an SOW most teams reach for first.

Best for: A first full SOW draft when you have agreed terms verbally and need to formalise them quickly.

2. SOW For A Fixed-Price Engagement

You are a commercial lead writing an SOW for a fixed-price
engagement, where scope discipline matters most.
 
Engagement:
- Client: [name]
- Deliverable: [what they are buying for the fixed fee]
- Fixed fee: [amount]
- Duration: [timeframe]
- The riskiest part of delivery: [your honest read]
 
Write a fixed-price SOW.
 
The document must:
- Define scope tightly enough that you can deliver inside the
  fixed fee.
- List out-of-scope items in detail, since these become change
  requests rather than free work.
- Include acceptance criteria for every deliverable.
- Include payment milestones tied to delivery, not time.
- Include a clear change request process, with how additional
  cost and timeline are calculated.
- Include assumptions covering everything you need from the
  client to deliver on time.
 
Tone: neutral, professional, plain. Avoid legal jargon.

Where it works best: ChatGPT handles the discipline a fixed-price SOW needs, with clean separation between scope, out-of-scope and change control.

Best for: Fixed-fee engagements where the protection of both sides depends on clear scope.

3. SOW Amendment Or Change Request

You are a delivery lead drafting an amendment to an existing
SOW.
 
Context:
- Original SOW reference: [document name or number]
- What is changing: [scope addition, scope reduction, timeline,
  budget]
- Reason for the change: [client request, discovery, dependency
  change]
- Impact on cost: [amount, or "no change"]
- Impact on timeline: [new dates, or "no change"]
- Impact on other deliverables: [knock-on effects]
 
Write a clean, standalone SOW amendment.
 
Structure:
1. Reference to the original SOW
2. Summary of the change in one paragraph
3. Reason for the change
4. Specific clauses being added, changed or removed (quote the
   original language where useful)
5. Updated deliverables and acceptance criteria
6. Updated milestones and dates
7. Updated cost
8. Sign-off block for both parties
 
Rules: neutral tone. No commercial spin. The amendment should
read as an operational document, not a sales artefact.

Where it works best: ChatGPT writes amendment language cleanly and tracks changes against original clauses without commercial drift.

Best for: Mid-project changes where you need to formalise a shift without rewriting the entire SOW.

4. Short-Form SOW For Small Engagements

Act as a delivery lead writing a short SOW for a small
engagement where a full document would be overkill.
 
Engagement:
- Client: [name]
- What you are delivering: [one line]
- Total fee: [under £15k or equivalent]
- Duration: [usually under 6 weeks]
- Single point of contact on each side: [name and role]
 
Write a one-page SOW.
 
Structure:
1. What we are doing (one paragraph)
2. What we will deliver (bullet list with acceptance criteria)
3. What is out of scope (bullet list)
4. Timeline in one line
5. Fee and payment (two lines)
6. What we need from you (bullets)
7. How to end the engagement (one paragraph)
8. Sign-off block
 
Rules:
- Under 500 words.
- Still includes acceptance criteria and out-of-scope.
- Plain language. The smaller the engagement, the more
  important clarity is.

Where it works best: ChatGPT keeps essential SOW discipline even in short-form formats, which most templates do not.

Best for: Small engagements where the full SOW format would slow things down.

5. Termination And Exit Terms Section

You are a commercial lead writing the termination and exit
section of an SOW.
 
Context:
- Engagement type: [retainer, project, T&M]
- Notice period: [days or weeks]
- Likely reasons for early termination: [convenience, breach,
  insolvency, change of strategy]
- What needs to happen if the engagement ends mid-flight:
  [handover, IP transfer, data return]
 
Write a termination section.
 
Structure:
1. Termination for convenience (both sides), with notice period
2. Termination for cause, with the trigger conditions
3. What is owed at termination: completed deliverables, work in
   progress, expenses already incurred
4. Handover obligations: what we will hand over and in what
   format
5. Data and IP: how data is returned, how IP transfers (or does
   not)
6. Post-termination obligations: confidentiality, references,
   non-disparagement
 
Rules: neutral tone. Both sides protected. No traps.

Where it works best: ChatGPT writes termination language that protects both sides cleanly without becoming legalistic.

Best for: Engagements where both sides want a fair exit option in writing.

6. Sign-Off Email For The Completed SOW

You are a delivery lead writing the email that goes with a
finalised SOW ready for signature.
 
Context:
- Client: [name and role]
- The SOW attached: [project name]
- Start date once signed: [date]
- Single point of contact at the client: [name]
- Single point of contact on our side: [name]
- Any open questions you flagged in the SOW: [list]
 
Write a short email.
 
Structure:
- Subject line that names the project
- Opening sentence referencing the conversation, not the document
- One paragraph noting the start date and what happens once
  signed
- A short list of the open questions (if any)
- One clear next step (sign and return, or reply to confirm
  questions)
 
Rules:
- Under 120 words.
- Confident, not pushy.
- Do not restate the SOW in the email.

​

Where it works best: ChatGPT writes signature-ready emails that drive action without restating the document.

Best for: The final email before sign-off, where a weak email kills momentum on a strong SOW.

Claude prompts For Statements Of Work

Claude is the right model when precision in scope, acceptance criteria and clause wording matters most. These six Claude prompts for statement of work writing handle the situations where the SOW will be read carefully and any ambiguity will be exploited. Each Claude prompt for statement of work below is built around a specific scenario, so you can pick the right Claude prompts for statement of work for the job rather than starting from a blank page.

1. SOW Drafted From A Signed Proposal

You are a delivery lead converting a signed proposal into a
precise statement of work.
 
<proposal>
[paste the signed proposal content]
</proposal>
 
<task>
Translate this proposal into a binding SOW. Carry forward what
is in the proposal, and add the operational detail an SOW needs
that a proposal does not.
</task>
 
<additions>
- Convert every deliverable into acceptance criteria in plain
  language.
- Add an explicit out-of-scope section listing items the proposal
  did not cover but the client might assume.
- Add a change request process: how requests are raised, who
  approves, how impact on cost and timeline is calculated.
- Add roles and responsibilities for both sides.
- Add an assumptions section capturing anything implicit in
  the proposal.
</additions>
 
<rules>
- Do not change pricing or scope without flagging it explicitly.
- Where the proposal was vague, propose specific language and
  label it as a recommendation to confirm.
- Neutral, professional tone.
</rules>

Where it works best: Claude is faithful to source material and adds operational detail without quietly inflating scope. This is the Claude prompts for statement of work most teams reach for first.

Best for: Turning a signed proposal into a working SOW without losing what was originally agreed.

2. SOW For A Time And Materials Engagement

You are a commercial lead writing an SOW for a T&M
engagement, where the rules of engagement matter most.
 
<engagement>
Client: [name]
Type of work: [what you are providing]
Rate card: [roles and rates]
Estimated effort: [hours or days]
Cap (if any): [budget cap or hour cap]
Reporting cadence: [weekly, monthly]
</engagement>
 
<task>
Write a time and materials SOW.
</task>
 
<sections>
1. Background and purpose
2. Type of work and outcomes targeted
3. Rate card with named roles
4. Estimated effort and basis for the estimate
5. Cap or budget control mechanism
6. Approval process for additional hours beyond the estimate
7. Reporting and invoicing cadence
8. Acceptance: how the client confirms work delivered
9. Assumptions about access, decisions and feedback turnaround
10. Termination terms with notice period
</sections>
 
<rules>
- Be explicit about what triggers re-estimation.
- Make the approval process simple enough to use weekly.
- Neutral, professional tone.
</rules>

Where it works best: Claude is precise with rate cards, approval processes and reporting cadences.

Best for: Open-ended consulting or development engagements billed on time and materials.

3. Acceptance Criteria And Definition Of Done

You are a delivery lead who knows that most SOW disputes
trace back to weak acceptance criteria.
 
<context>
Project: [what you are delivering]
Deliverables: [list them]
Type of work: [strategy, design, build, content, advisory]
Who reviews and signs off each deliverable: [client roles]
</context>
 
<task>
Write a detailed acceptance criteria section covering every
deliverable.
</task>
 
<requirements>
For each deliverable:
- The deliverable name and a one-line description
- What "done" looks like, in objective, testable language
- The review process (who reviews, how long they have, what
  format)
- The number of revision rounds included
- What happens after revision rounds are exhausted
- What does not count as acceptance (silence is not approval)
</requirements>
 
<rules>
- Avoid subjective language. Replace with measurable criteria.
- Make the review process simple enough to use every cycle.
- Neutral, professional tone.
</rules>

Where it works best: Claude is excellent at converting subjective standards into measurable criteria.

Best for: Engagements where the quality bar is the most likely point of dispute.

4. SOW For A Complex Multi-Party Engagement

You are a delivery lead drafting an SOW for an engagement
involving multiple parties (e.g. agency + subcontractor + client).
 
<context>
Parties: [list each party and their role]
Lead party: [who carries primary obligation]
Subcontracted scope: [what is handled by which subcontractor]
Information flow: [who shares what with whom]
Liability split: [who is responsible for what]
</context>
 
<task>
Write a multi-party SOW that makes responsibilities and
obligations clear.
</task>
 
<sections>
1. Parties and their roles
2. The lead party's overall obligation
3. Scope split by party, each with their deliverables and
   acceptance criteria
4. Information flow diagram (described in text)
5. Decision rights: who can approve what
6. Liability split for missed deliverables or quality issues
7. Termination handling when one party exits
8. Confidentiality across parties
9. Sign-off block per party
</sections>
 
<rules>
- Specific responsibilities, no shared blame.
- Each party should be able to read their own section and know
  what they owe.
- Neutral, professional tone.
</rules>

Where it works best: Claude handles multi-party structures cleanly without letting responsibilities blur.

Best for: Agency + partner engagements where one missed deliverable could trigger finger-pointing.

5. Confidentiality, IP And Data Section

You are a commercial lead writing the confidentiality, IP
and data section of an SOW.
 
<context>
Engagement type: [project, retainer, advisory]
What we will see: [confidential data, customer records, source
code, financials, internal strategy]
What we will create: [deliverables, work product]
IP ownership preference: [client owns, we own with licence, joint]
Data handling: [where data is stored, who can access, when it
is deleted]
</context>
 
<task>
Write a confidentiality, IP and data section.
</task>
 
<structure>
1. Confidentiality scope and obligations on both sides
2. Permitted use of confidential information
3. IP ownership of work product
4. Background IP (what we bring in, what they bring in)
5. Licensing of background IP for the engagement
6. Data handling: storage, access, deletion
7. Compliance obligations (e.g. GDPR for EU clients)
8. Survival: which clauses outlast the engagement
</structure>
 
<rules>
- Plain language, not legalese.
- Both sides clearly protected.
- Specific enough to act on, general enough to fit most
  engagements.
</rules>

Where it works best: Claude writes IP and confidentiality language that holds up without slipping into impenetrable legalese.

Best for: Engagements involving sensitive data or significant IP creation, where this section actually matters.

6. Two-Variant SOW For Different Engagement Models

You are a delivery lead writing two genuine SOW variants so
the client can choose the engagement model that fits.
 
<context>
Client: [name]
Outcome they want: [one sentence]
Variant A: [e.g. fixed-fee project SOW]
Variant B: [e.g. T&M retainer SOW]
</context>
 
<task>
Write both SOW variants in parallel.
</task>
 
<structure>
For each variant:
- Engagement model in one paragraph
- Scope of work
- Deliverables and acceptance criteria
- Pricing and payment
- Timeline
- Risk profile (be honest)
- Who this variant suits best
 
Then a closing comparison paragraph helping the client choose
without subtly weighting one option.
</structure>
 
<rules>
- Both variants must be genuinely defensible.
- Trade-offs must be honest.
- Balanced length.
</rules>

Where it works best: Claude handles parallel structures cleanly and resists nudging the reader towards one option.

Best for: Clients who want to choose how they engage, not just whether.

Gemini prompts For Statements Of Work

Gemini’s live web grounding is the right tool when the SOW needs to reference current industry-standard practice, regulatory language or comparable engagement terms. These six Gemini prompts for SOW writing turn generic templates into research-led documents. Each Gemini prompts for SOW writing below is built around a specific scenario, so you can pick the right Gemini prompts for SOW writing for the job rather than starting from a blank page.

1. SOW Informed By Industry-Standard Practice

You are a research lead writing an SOW that references
current industry-standard practice for [engagement type].
 
Step 1: Research current industry-standard practice for
[engagement type] in [client industry]. Find:
- Typical scope inclusions and exclusions
- Standard acceptance criteria approaches
- Common payment models and milestones
- Standard change control language
- Common termination clauses
 
Step 2: Write an SOW that uses these standards as the spine.
 
Output:
- Background and purpose
- Scope (in and out) informed by industry practice
- Deliverables with acceptance criteria reflecting common
  standards
- Payment model that aligns to industry norm, with the
  reasoning shown
- Change control language drawn from standard practice
- Termination terms that match common patterns
 
Rules: cite any specific clause or pattern you draw from. Do
not claim a standard exists if you cannot find a source.

Where it works best: Gemini’s web research catches current industry-standard language that older models would miss. This is the Gemini prompts for SOW writing most teams reach for first.

Best for: Engagements where the client will compare your SOW to others in their industry.

2. Regulatory Clauses For A Compliance-Sensitive SOW

You are a compliance lead researching regulatory clauses for
an SOW serving a regulated industry.
 
Step 1: Research regulatory requirements for [client industry]
in [region]. Find:
- Data protection requirements (GDPR, HIPAA, sector-specific)
- Sector-specific operational rules
- Reporting obligations
- Recent enforcement actions that change clause expectations
- Standard SOW clauses used in this industry to address these
 
Step 2: Write a "regulatory compliance" section for the SOW.
 
Output:
- Opening paragraph framing the regulatory environment
- A list of the specific regulations in scope, cited
- Clause-level provisions covering data handling, reporting,
  sub-processing, audits
- A paragraph describing the practical operational obligations
  on both sides
 
Rules: cite every regulation by name and source. Use actual
regulatory language where possible.

Where it works best: Gemini’s recency is essential for compliance language. Older models miss recent rule changes the client will spot.

Best for: Regulated industries where the SOW must reflect current law, not last year’s.

3. Benchmark Pricing And Payment Terms

You are a commercial lead researching typical pricing and
payment terms for [engagement type] to ground the SOW commercially.
 
Step 1: Research published or publicly visible pricing for
[engagement type]. Find:
- Typical pricing models in this market
- Common milestone structures
- Standard payment terms (net 15, 30, 45)
- Common late-payment penalties or discounts
- Industry-standard cancellation fees
 
Step 2: Write the pricing and payment section of the SOW.
 
Output:
- Pricing model with the reasoning
- Milestone-by-milestone payment schedule
- Net payment terms aligned to industry norm
- Late payment and disputed-invoice handling
- Cancellation fees or pro-rata refunds
 
Rules: cite sources for any claim about industry norms. If
data is sparse, frame as best-estimate and acknowledge the gap.

Where it works best: Gemini can pull together publicly visible pricing signals to ground commercial terms in something real.

Best for: Engagements where the client will benchmark your terms against the market.

4. SOW Aligned To Public Procurement Standards

You are a procurement-savvy delivery lead writing an SOW
that aligns to public procurement standards.
 
Step 1: Research procurement standards for [client type or
sector], including:
- Standard contract frameworks (e.g. NEC, JCT, FAR clauses)
- Mandatory clause requirements
- Standard reporting and audit rights
- Required terms around subcontracting, IP, and confidentiality
 
Step 2: Write an SOW that aligns to these standards.
 
Output:
- Background and authority
- Scope with explicit traceability to the original RFP or
  framework
- Standard mandatory clauses included by reference, with the
  framework cited
- Audit rights and reporting cadence
- Subcontracting rules
- Termination and dispute resolution
 
Rules: cite every standard or framework by name and version.
Use the procurement-appropriate language, not commercial sales
language.

Where it works best: Gemini’s web grounding catches version-specific procurement language that older models do not know exists.

Best for: Public sector or framework-driven engagements where deviation from standard creates real friction.

5. Common Failure Modes Section

You are a delivery lead writing a "what tends to go wrong"
section for the SOW so both sides agree on the risks upfront.
 
Step 1: Research published failure analyses for [project type]
or [industry sector]. Find:
- The most common causes of project failure
- Typical warning signs
- Reported mitigation approaches
- Specific incidents that illustrate the failure modes
 
Step 2: Write a failure-mode-aware risk section for the SOW.
 
Output:
- Opening paragraph framing the section purpose
- A risk table covering the most common failure modes, each
  with: trigger, likelihood, impact, joint mitigation
- A "warning signs" section describing what either party
  should flag early
- A paragraph on escalation when a warning sign appears
 
Rules: cite sources for the failure modes. Use plain language.
The point is to align both sides, not to scare anyone.

Where it works best: Gemini can pull from published failure analyses that turn vague risk language into something concrete.

Best for: Higher-stakes engagements where both sides need to align on what could go wrong before it does.

6. Subcontractor SOW Aligned To A Master Agreement

You are a commercial lead drafting a subcontractor SOW that
must align to a master agreement you cannot fully see.
 
Step 1: Research [master agreement type or framework] and the
typical clauses subcontractors must comply with. Find:
- Standard pass-through obligations
- Confidentiality and conflict-of-interest requirements
- Reporting and audit obligations to the prime
- Insurance and liability requirements
- Approval and change request hierarchies
 
Step 2: Write a subcontractor SOW aligned to a typical master
agreement of this type.
 
Output:
- Recital referencing the master agreement
- Scope of subcontracted work
- Acceptance criteria
- Pass-through obligations (data, audit, IP, confidentiality)
- Reporting and escalation paths to the prime
- Termination provisions linked to the master
 
Rules: cite the framework or master agreement type. Where a
specific clause cannot be verified, mark it for the prime to
confirm.

Where it works best: Gemini’s research catches pass-through clause patterns that an SOW writer would not know to include.

Best for: Subcontractor engagements where the prime’s master agreement governs and deviation creates legal risk.

How To Get More From Each Prompt

A prompt is a starting point, not the finished article. A few habits get a lot more value out of every template above when you are working on a statement of work. Whether you use a ChatGPT, Claude or Gemini prompts, or any other AI prompt to write a scope of work you have saved, these habits apply.

Treat The First Reply As A Draft

Ask for a tighter version, push back on a weak clause, or request more depth on a specific section. Each pass sharpens the document.

Chain Your Prompts

Use the output of one prompt as the input to the next. A scope prompt can feed an acceptance criteria prompt, which can feed a change control prompt.

Save What Works

When a prompt produces a strong clause, keep it with a note on why. Over time you build a personal library of clauses that holds up.

From Prompt To Branded Document

AI gives you the words. It does not give you a branded statement of work your client actually sees, or tell you when they sign. That last stretch, branding the document, sending it, and tracking signature, is usually where the time stacks up.

This is where Proposal.biz fits in.

Paste Your Website URL

Proposal.biz pulls your brand assets, services and case studies into a Smart Content Library, so every document looks like yours automatically.

Generate From A Prompt

Describe what you need and it produces a fully branded statement of work, ready to refine in the Proposal Builder.

Send A Shareable, Trackable Link

Instead of a flat PDF, you send a live link, track when the client signs, and get confirmation when the SOW is complete.

The simplest workflow: draft your SOW using whichever AI prompts for statement of work writing fits the engagement, then drop the copy into Proposal.biz to brand, send and track. You keep the AI tool’s writing speed and add the document layer that closes the loop with your client, then use any AI prompt to write a scope of work you have saved alongside it.

Final Word

An SOW that survives the project is one that names the awkward things upfront: what happens if the client misses a deadline, how scope changes get costed, what “done” looks like for each deliverable. Those sections feel pessimistic when you write them and indispensable when you need them. Use these templates to get the structure right, then sharpen the clauses until they match the engagement in front of you.

Proposal.biz handles everything from the moment the words are final. Drop your SOW into the Proposal Builder and it inherits your brand from the Smart Content Library populated when you first paste your website URL. Send the document as a live link, track when the client opens it, and capture signed status, signing date and a confirmation email when they complete it. The drafting tool sharpens the clauses. Proposal.biz takes care of getting them signed.

​Try Proposal.biz for free → ​

Frequently Asked Questions

What is the best AI prompts for statement of work writing?

There is no single best prompt. The strongest output depends on the engagement and the model you reach for. For a first full SOW draft, the ChatGPT prompts to write an SOW at the top of this guide is a good starting point. For converting a signed proposal into a binding SOW, the Claude prompts for statement of work writing handles the operational detail most carefully. For industry-specific SOWs, the Gemini templates ground the document in current standards.

Which AI tool is best for writing a statement of work?

Each model has a different strength. ChatGPT is the most flexible for general drafting and amendments. Claude is best when precision in scope, acceptance criteria and clause wording matters most. Gemini is useful when you need to reference current industry-standard language for a particular type of engagement.

What sections should an AI-generated SOW always include?

Background, objectives, in-scope items, out-of-scope items, deliverables with acceptance criteria, milestones, pricing and payment schedule, assumptions, dependencies, change request process, roles and responsibilities, and termination terms. Every template in this guide includes these. If a draft is missing any, push the model to add it before you send.

How do I get the AI to write a proper scope of work, not just a deliverables list?

Use an AI prompt to write a scope of work that explicitly asks for in-scope items, out-of-scope items, acceptance criteria, dependencies and a change control process. The dedicated SOW templates in this guide are built for this. A deliverables list is not a scope of work, and most disputes trace back to that confusion.

How do I turn the AI output into a branded SOW document?

AI gives you the clause language, not a branded document tied to your visual identity or a way to track signatures. Tools like Proposal.biz close that gap: paste your website URL to pull your brand into a Smart Content Library, generate a fully branded SOW from a prompt, then send a shareable link and track when the client signs, with confirmation email on completion.

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