Technical Discovery Questions: How AI Helps Midmarket Teams With Few SEs
Lokesh Sharma
Product Manager
·
11
min read
AI helps midmarket teams with few sales engineers handle technical discovery at three moments. Before the call, it turns the questions buyers actually ask into a question plan. During the call, a live call assistant privately shows the AE a sourced answer and the next question. After the call, AI drafts the CRM update and follow-up, and RFP or security questionnaire tools draft long written answers.
This guide is for midmarket teams where AEs run most first calls and a few solution engineers (SEs) cover many deals. It gives you a 15-question discovery bank, how AI helps the AE use it, and when presales should step in. For the wider buying guide, see what to look for in AI for solution engineers.
Key takeaways
Technical discovery covers five areas: stack and integrations, security and compliance, data and scale, deployment and IT, and success criteria.
An AE can run most midmarket technical discovery alone with a question plan, approved answers and a written follow-up for anything unsourced.
AI helps at three moments: the question plan before the call, a private sourced answer during it, and the CRM update and follow-up after it.
Escalate to an SE on custom integrations, migrations, non-standard security reviews, pilots and calls the buyer's architect joins.
Three AI categories cover this: live call assistants, conversation intelligence, and RFP and security questionnaire tools.
How we compared these tools
A product is included only if its own website describes one job in this guide: live help for the rep, analysis of what buyers raised across calls, or written answers to security questionnaires and RFPs. For each we checked:
Where in discovery it helps: before, during or after the call
Where its answers come from: admin-written cards, a knowledge base, past calls or a content library
Who sees its help during the call, for live tools
Whether it updates the CRM after the call
Proshort makes Aria, one of the tools below; we list it last and describe every tool from its own website. Vendor information was checked in November 2026. Tools are grouped by category, alphabetical within each, and not ranked.
Why does technical discovery stall on midmarket teams?
On a midmarket team, the AE usually runs the first call alone because the SE calendar is full of later-stage demos and pilots. The buyer's first technical questions, about the CRM sync, the security review or single sign-on, land on the AE. Without an answer, the AE says "let me check with our solutions team," and the deal loses a week.
The opposite failure costs as much: the AE pulls an SE into every first call and late-stage deals wait. The fix is not more SEs. It is giving AEs the right questions, approved answers and an escalation rule, with AI making all three available on the call.
The technical discovery question bank
Use these 15 questions across the first two calls. A good buyer answer names a system, a person, a number or a rule. A vague one ("we use the usual tools") is your cue for a follow-up question.
Current stack and integrations
Most technical surprises hide in the integration scope.
Question to ask | Why it matters | A good answer sounds like |
|---|---|---|
"Which systems would this need to read from or write to in the first month?" | Defines the scope and whether a standard connector covers it. | "Salesforce opportunities, read and write. Our warehouse, read only. Slack for alerts." |
"Is your CRM mostly standard, or heavily customized?" | Custom objects turn a connector demo into a project. | "Mostly standard, plus two custom objects for renewals. Our admin can share the schema." |
"What have you tried for this before, and why did it stop working?" | Shows the failure you must not repeat. | "It never synced to the CRM, so reps stopped using it." |
Security and compliance
A review that starts after the verbal yes adds weeks.
Question to ask | Why it matters | A good answer sounds like |
|---|---|---|
"What does your security review require, and who runs it?" | Tells you which documents to send now and who approves. | "Our GRC team sends a questionnaire based on the CAIQ and asks for the SOC 2 Type 2 report." |
"Is there data this must never store or process?" | Health data, card data or residency rules can reshape or end the deal. | "No patient data in recordings, and EU users' data stays in the EU." |
"Will legal ask how AI uses our data?" | Model training on customer data is a regular contract-stage blocker. | "Yes. Legal wants it in writing that our data does not train your models." |
Data and scale
Volume and data quality drive the timeline more than features do.
Question to ask | Why it matters | A good answer sounds like |
|---|---|---|
"How many users and records in year one, and after your next rollout?" | Shows whether the deal fits documented limits. | "About 120 users now, closer to 300 after the EMEA rollout." |
"Where does the historical data live, and how clean is it?" | Migration and cleanup are where implementation plans slip. | "Three years of history in HubSpot. Duplicates are a known problem." |
"What has to happen in real time, and what can update overnight?" | Real-time needs change the architecture and the cost. | "Rep alerts must be live. Reporting can refresh nightly." |
Deployment and IT
Identity and install rules block late when nobody asks early.
Question to ask | Why it matters | A good answer sounds like |
|---|---|---|
"Who in IT signs off, and what do they check first?" | Finds the technical decision maker before they find you. | "Our IT director. She checks SSO and admin controls first." |
"Do you require SSO, user provisioning or specific roles?" | Often tied to a plan tier, so they change the quote. | "SSO through our identity provider is mandatory. Provisioning is a nice to have." |
"Can users install desktop apps or browser extensions?" | A blocked install stops the rollout after signature. | "Not without IT review. Extensions are on an allowlist." |
Success criteria
Without agreed criteria, a pilot eats your SE's quarter.
Question to ask | Why it matters | A good answer sounds like |
|---|---|---|
"What would have to be true in 90 days to call this a success?" | Turns interest into a target you can design the evaluation around. | "Reps stop typing call notes into the CRM, and managers review pipeline from one screen." |
"How will you measure that, and what is the number today?" | A baseline makes the business case and keeps the pilot honest. | "Reps lose most of Friday to CRM updates. We want that down to an hour." |
"Will you run a pilot, and who decides pass or fail?" | Pilots without an owner and a scorecard are where SE time disappears. | "A 30-day pilot with ten reps. Our RevOps lead owns the scorecard." |
How does AI help an AE ask and answer technical questions live?
AI removes a reason to wait for the SE at three moments.
Before the call: build the question plan. Start from the questions buyers actually ask, not a template. AI that analyzes past calls shows which technical questions come up most and which ones reps answer badly.
During the call: get a sourced answer and the next question. When the buyer asks "Do you support SSO with our identity provider?", a live call assistant shows the AE the approved answer and its source, privately. It also tracks which discovery areas are still open and suggests the next question.
After the call: capture and follow up. AI drafts the CRM update and the recap email; the rep reviews and sends. Unanswered questions go into the recap with an owner and a date.
One rule keeps this safe: the AE answers live only what the assistant shows with a source. Otherwise the AE writes the question down and promises a written answer. Buyers trust "I will confirm that in writing by Thursday" more than a guess the SE later corrects. For a closer look at the live part, read how account executives get real-time technical answers on calls.
How should you capture technical discovery answers in the CRM?
Answers that live only in a transcript are lost by the time the SE joins. Keep a few technical fields on the opportunity and let AI fill them from the call for the rep to approve:
Systems to integrate: each system and the direction (read, write or both)
Security review: type, who runs it and expected length
Data limits: users, records and anything that must never be stored
Identity and IT: SSO, provisioning and the IT approver
Success criteria: the 90-day outcome, the baseline and who owns the scorecard
Open technical questions: each with an owner and a due date
Keep the rep's approval in the loop. AI writing straight to the CRM will eventually record "no security review" when the buyer meant "not yet," and a wrong field misleads the forecast more than an empty one.
When should an AE escalate to a sales engineer?
If anything in the right-hand column applies, book the SE for the next call and send them the CRM fields above first.
What comes up in discovery | AE handles it, with AI support | Bring in the SE |
|---|---|---|
Integrations | A standard connector to a system you document (CRM, calendar, Slack) | Custom objects, API work, middleware or a system you have no connector for |
Security | The SOC 2 report, standard policies and a questionnaire from approved answers | A custom review, architecture diagrams or penetration test questions |
Data and scale | Volumes inside your documented limits | A migration, volumes beyond documented limits or new real-time requirements |
Deployment and IT | SSO and roles your plan includes | Restricted networks, install bans that block the product or regional hosting questions |
Success criteria | Agreeing the 90-day outcome and baseline | A pilot with technical pass or fail criteria |
Who joins the call | Business owner, RevOps, a manager | The buyer's architect, security lead or IT director |
Which AI solutions help midmarket teams with technical discovery?
No single category covers all three moments. Details come from each vendor's own site, checked November 2026.
Category and tool | Where it helps | What its own site describes | Watch for |
|---|---|---|---|
Live call assistant: Avoma | During the call | Answer Cards on the rep's screen within seconds of a trigger phrase; admins write the approved responses; visible only to reps | Exact keyword match and a Conversation Intelligence add-on required (help center), so add many phrasings of each question |
Live call assistant: Winn.ai | During and after the call | Joins meetings in real time to answer questions and reinforce the playbook; supports MEDDPICC and BANT; automates CRM updates | The homepage does not describe technical questions specifically |
Conversation intelligence: Gong | Across calls and deals | Analyzes conversations for key topics, objections, competitor mentions and buying signals; flags deal risks and next steps in real time; generates summaries and updates CRM fields | The page describes insights and risk flags, not on-screen answers to a buyer's technical question |
RFP and security questionnaires: Conveyor | After the call, in writing | Fills out security questionnaires and cites its sources; drafts RFPs from deal documents; Trust Center for buyer self-service | Built for written answers, not the live conversation |
RFP and security questionnaires: Loopio | After the call, in writing | Answers RFPs, DDQs and security questionnaires from a shared content library; names presales as a user | Built for written answers, not the live conversation |
Proshort (our product): Aria | Before, during and after the call | Sourced answer and next question for the rep only; agenda tracking; AI playbook from real buyer questions; follow-up and CRM update after the rep's OK | Aria Live is billed per call hour; long RFP documents still need an RFP tool |
Many security questionnaires follow a standard such as the Cloud Security Alliance CAIQ, a set of yes or no questions a cloud customer may ask a provider (CSA CAIQ). Map your approved answers to it once, and the AE and the written-response tool draw from the same source.
Where Proshort fits (and where it does not)
Proshort fits midmarket teams whose AEs run technical discovery with few SEs behind them:
Before the call: the AI playbook is built from the questions and objections buyers actually raise on your calls, with how often each comes up, how well reps answer it and the revenue at stake, refreshed every 24 hours.
During the call: Aria Live joins Zoom, Google Meet or Microsoft Teams calls and puts the answer, the proof point and the next question on the rep's screen in under a second, sourced from your battlecards, docs and won calls. It tracks the agenda and suggests the next question. Only the rep sees it, and the rep decides what to say.
After the call: Aria drafts the follow-up email in the buyer's own words, with owners and the next step, and updates the CRM after the rep's OK.
Pricing is $75 per rep per month for the platform, plus $3 per call hour for Aria Live on the calls you choose, such as first technical calls.
Bridget Winston, Chief Revenue Officer at PatientNow, described Proshort to another CRO in one line:
"You think you know, but you don't." Bridget Winston, PatientNow
We read that as a discovery lesson: until you see which technical questions buyers ask and how reps answer them, you are guessing. Read the PatientNow case study. Proshort is not the tool for writing a long RFP response or for replacing an SE on a custom architecture review.
Frequently asked questions
What are technical discovery questions?
Technical discovery questions establish whether your product can work in the buyer's environment: their current stack and integrations, security and compliance rules, data volume, deployment constraints and how they will judge success. Ask them in the first two calls so surprises surface before the demo, not in procurement.
Can an account executive run technical discovery without a sales engineer?
For most midmarket deals, yes, with a question bank, approved answers and a clear escalation rule. A live call assistant shows sourced answers during the call, and the AE promises a written follow-up for anything without a source. Custom integrations, architecture reviews and pilots still need an SE.
Which AI solutions help with complex technical discovery questions?
Three categories help. Conversation intelligence such as Gong analyzes topics, objections and risks across calls; RFP and security questionnaire tools such as Conveyor and Loopio draft long written answers; and live call assistants such as Avoma, Winn.ai and Proshort's Aria Live help the AE during the call. Teams with few SEs often pair a live assistant with one written-response tool.
How do you get technical discovery answers into the CRM?
Add a few technical fields to the opportunity (integrations, security review, data limits, identity requirements, success criteria, open questions with an owner) and let AI draft them from the call for the rep to approve. Approval matters, because a wrong field misleads the forecast more than an empty one.
When should an AE bring in a sales engineer?
Escalate when the buyer needs something your documentation does not cover: custom integration or API work, a data migration, a security review beyond the standard questionnaire, a pilot with pass or fail criteria, or the buyer's architect on the call. Bring the SE in with discovery notes already in the CRM.
To see Aria suggest the next discovery question on a live call, book a 30-minute Proshort demo.
