AI proposal preparation for agencies
Hold your rate. Find the margin in your own hours.
Clients have started asking agencies for an “AI discount.” If you’re not giving one, the time has to come from somewhere. Proposal preparation is repeatable, senior-heavy, and built from material you already approve. That makes it a sensible first workflow to test.
Missing a budget or timeline? The draft flags the gap for the owner instead of filling it. Your review checkpoint confirms it did, before anything goes out.
Five questions. See your preliminary fit summary before sharing contact details. No purchase required.
See the proposed workflowIllustrative workflow · not a client result
From discovery call to reviewable draft
Approved inputs
Discovery notes, your proposal template, service descriptions, and approved examples.
Structured first draft
Client objectives, proposed approach, deliverables, and the questions still needing an answer.
Your team’s approval
Confirm scope, pricing, evidence, and delivery commitments. Resolve gaps before sending.
Missing budget or timeline? Flagged for the owner to resolve, not filled in. The review checkpoint confirms it.
Why now
Clients are asking for an AI discount. The time has to come from somewhere.
In Productive’s 2025 survey of around 180 agencies, 27% had already been asked by a client to lower fees because the agency uses AI, and nearly half expected the question soon. Only 13% of those asked cut their rates. The rest held the line, which means finding the time elsewhere. At the benchmark volume of 8–12 proposals a month and 4–6 hours each, proposal preparation is 32–72 staff hours a month.
Discount figures: Productive, Agencies in the AI Era (2025); its six-month pulse report (2026) found the question no more common. Proposal volume and effort: published vendor benchmarks (Pitchsite, 2026), used here as assumptions, not GradeCircle data.
A workflow, not another writing tool
Keep your agency’s judgment. Reduce the repeated assembly.
Proposal software and general AI tools can both produce a draft. What neither comes with is your process: who feeds it, who checks it, and what counts as done. The review defines that, then measures whether it was worth it.
Draft from material you trust
Approved services, examples, and templates, not an AI’s idea of your offer.
Make review explicit
Who checks accuracy, scope, pricing, and client commitments before a proposal leaves the agency, written down.
Measure before you expand
Preparation time, corrections, and adoption against your current process. The pilot ends with expand, revise, or stop.
Free. No email needed to see your preliminary fit summary.
Free to scope. Pay only when you agree.
Scoping costs nothing and commits you to nothing. Paid work starts only after you agree the scope and fixed fee, and the review and pilot are separate decisions.
01 · Decide whether to proceed
AI Opportunity Review
$1,500 · 10 business days
Review representative work samples and up to three workflows, interview up to three people, and assess benefit, effort, and data suitability. Get a business case, human review requirements, and a pilot brief with a fixed implementation quote.
You can buy the review on its own. Deferring AI may be the recommendation.
Start with free scoping02 · Optional, separately approved
AI Workflow Pilot
$5,000 · Four weeks
Configure one workflow for a team of up to five, with up to two supported application connections. Includes reusable prompts or templates, review checkpoints, training, a results report, and handover guidance.
At least two weeks of observed use within the pilot, subject to access and participation. Software and usage fees are extra and disclosed before commitment.
What happens in the 10 business days.
Kickoff
You name the proposal owner and show us how a proposal is built today, from discovery notes to the version that goes out.
Review
Up to three interviews, up to three workflows, representative work samples. We score benefit, effort, data suitability, and operational risk.
Business case
Setup and ongoing costs against released capacity, in conservative-to-optimistic scenarios. Capacity is reported as hours, not as payroll savings.
Decision meeting
A recommended first pilot at a fixed price, or a recommendation to defer AI and what would need to change. Either way the findings are yours.
GradeCircle builds and runs six products: AfroSynergy, CallerBridge, HealthSquire, Heyzl, Lexfora, and LukeAPI, two of them in beta. The assumptions in our models come from operating systems under real conditions, not from a framework. See what we run
Before you start
Why not just use ChatGPT ourselves?
You probably already do, and the review starts from that. What a general tool does not come with is a process: approved inputs, a named reviewer, a baseline, and a decision on whether the released time is real. If the review finds your team can get there on its own, it says so.
Will AI write and send proposals on its own?
Your team stays in control. The workflow prepares a first draft from approved inputs only; your team reviews scope, fees, claims, and commitments before anything goes to a client.
Do we need to change our tools?
Usually not. The review starts with the documents and tools you already use. Any pilot uses existing commercial tools where suitable; connections, permissions, and software costs are confirmed before you commit.
What about confidential client information?
We review data suitability, access, and tool requirements before recommending a workflow. Start scoping with a general description; do not submit client names, credentials, or confidential documents in the form.
Are faster proposals or more wins guaranteed?
No, and we won't promise them. Instead we measure preparation time, corrections, and team adoption against your own baseline, so the decision rests on evidence. A pilot can lead to a recommendation to expand, revise, or stop. Proposal win rates depend on more than drafting speed.
Could your next proposal start from a better draft? Find out before you pay.
Answer five questions about how your team prepares proposals today. You’ll see a preliminary fit summary straight away. It may say your process needs work first; if so, you’ll know what to fix.
Scope your proposal workflow