
AI RFP and Security Questionnaire Agent
Drafts cited answers to RFPs and security questionnaires from your approved answer library, routes low-confidence questions to named experts and exports the…
Reps get suggested responses to real objections, drawn from the conversations that actually won.
Price, timing, a named competitor: your reps hear the same objections every week, and how they answer depends on experience. This build studies the conversations on deals you won despite that pushback and gives every rep a suggested response in your approved tone. New hires answer like your best people, and a named approver signs off each response before it is used.

AI Objection Handling gives reps suggested responses to common objections, drawn from the conversations on your own past deals that won despite the same pushback. Objections are grouped by theme, product and deal stage, responses follow your approved tone, and a named approver signs them off before reps use them.
Objections cost deals when reps freeze or improvise. Your best people already know what works, but that knowledge lives in their heads and old call recordings. This build captures it, grouping objections by theme and stage and pairing each with a response that has already won business for you. New reps ramp faster and experienced reps stay consistent. Because responses follow your messaging and need approval, nothing off-brand reaches a customer. The sources, categories and approval step are written into the scope before you order.
Suggested responses are drawn from your own past deals that won despite the same pushback. Reps get an answer with evidence it has worked for your business, not a generic script.
Objections are grouped by theme, product and deal stage, using your own conversation history. Approved responses land in one destination, so the whole team can use what your best reps say.
Responses follow your approved tone and brand profile, and a named approver signs each one off. Reps only see wording that has already been checked by someone you trust.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $1,900 |
| Express | 15–25 working days | $2,300 |
| Rush | 10–20 working days | $2,650 |
Before you start: Record win rates on deals where price or competitor objections were noted. Note how long recent hires took to close a first deal.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build is a one-time payment. Running it costs roughly $20 to $150 a month in AI model usage, depending on how many objection responses it generates. A team logging a handful of objections a week sits at the low end; a busier sales team sits toward the higher end.
AI usage during build and testing is also billed to your own accounts, so the provider relationship stays yours.
Ask about running costsAdd a note at checkout if you need something specific. If it fits within the Scope Card it is simply included. If it goes beyond it, you get a written Change Quote within two working days, and that work starts only once you accept it, with its time added to your delivery date.
Request a custom versionAfter launch, monthly maintenance keeps responses current as buyers change. It covers monitoring, fixes, model and platform updates, a monthly health report and enough monthly change hours for a new objection category or an updated response tone. It starts after the 30 days of included support and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A sales enablement tool charges a monthly seat fee for its objection library | A custom agency quotes after discovery calls | Ours is one fixed price, shown before you buy |
| Source material | A sales enablement tool ships a generic objection library not specific to you | An agency build depends on what was agreed | Ours is trained on your own winning conversations |
| Coverage | A sales enablement tool needs manual tagging to stay current | An agency build depends on what was agreed | Ours covers up to three output formats from one generation pipeline |
| Delivery | A sales enablement tool is quick to install but the objection library still needs building | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
One fixed price, shown on this page before you buy, covers the whole build: the objection categories, the response logic, 25 reviewed sample outputs before launch, and the recorded 45-minute handoff session. There are no seat licenses or per-use fees from us. Express and rush delivery are available for a set extra amount, also shown upfront. Ongoing AI usage and hosting are billed in your own accounts, so you always see what you pay.
From reference examples of objections your team has actually handled well, plus your playbook, so suggestions reflect how your best reps respond in practice, not a generic sales script pulled from somewhere else. That grounding is what keeps a suggestion from sounding like stock sales copy.
No. It suggests a response for a rep to use or adapt to the specific conversation; nothing is sent to a prospect automatically, so the rep always stays in control of what is actually said. That boundary keeps a human accountable for every word a prospect actually reads.
Roughly $20 to $150 a month in AI model usage, depending on volume, billed in your own accounts, tracking how many objection responses it generates for your team each month. Cost tracks how many objection responses it generates for your team across a typical month.
It works best within the objection categories set up during intake, such as price, timing or a named competitor. A new category outside that list can be added through monthly maintenance or a Change Quote. That keeps every suggestion grounded in something your team has actually said.
We review 25 sample outputs with you before launch specifically to check tone and claims against what your product actually does, and you approve the wording before any of it goes live. That check matters most for anything close to a compliance or legal claim.
Yes. Small updates, such as adding a newly won objection or refreshing the tone, fit inside the monthly change hours included with maintenance. A full library rebuild is scoped separately as a written Change Quote. Maintenance also covers monitoring, fixes, model and platform updates and a monthly health report. It starts after included support and can be cancelled any month.
You do. Responses are delivered into your own CRM or drive, so the content, the reference examples and the AI provider relationship all stay in your name, not tied to a platform we control. We do not keep a separate copy of any response after delivery.
Order AI Objection Handling and every rep gets responses drawn from your own winning conversations, on a delivery date you see before you pay.

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