The presales workflow, and how AI agents run it

01What a presales workflow is

Presales is the work that turns interest into a deal you can close: answering a demo request, finding out whether the lead fits, showing the product on their problem, answering technical and security questions, and putting a price in front of the people who sign. In a small company the founder does it; larger teams have presales or solutions engineers beside the account executives.

The workflow is the order those steps happen in, who owns each one and what gets written down. Most of it repeats from deal to deal: the same first questions, the same demo, the same follow-ups. That is the part AI presales agents can run. The judgement calls (price, scope and terms) stay with your team.

02The 8 stages, and where AI agents fit

From the first form to the signed deal, with what an AI presales agent does at each step:

Each part in detail: speed to lead, lead qualification, appointment setting, the demo agent and lead follow-up; for property developers and brokers, real estate presales. New to the term? Start with what presales is.

On Levrage all eight run on one deal in a CRM that’s built in, so every call, chat, meeting and quote sits on the same timeline. See it on a real deal on the AI presales page.

03Where presales workflows leak

• Slow first contact. A demo request answered the next day has often spoken to someone else already. Calling within minutes, at any hour, is the biggest single fix.
• Demo capacity. When every demo needs a founder or a presales engineer, the calendar decides how many deals move each week.
• Repeat work. The same discovery questions, the same demo and the same questionnaire answers, done again for every deal.
• One contact per deal. The quote goes to the person you met, and nobody follows up with the people who sign.
• Notes that never reach the CRM. What was said in the meeting stays in someone’s head, so the next step is late or wrong.

04How to automate your presales workflow with AI agents

1. Write down the workflow you have

The stages, your qualifying questions, what a good fit looks like, and the moments you want a person: the price, discounts, contracts.

2. Give the agent your knowledge

Your product guide, price list, case studies and past questionnaire answers. It answers from these.

3. Connect your lead sources and calendar

Website forms, Meta and Google ads, IndiaMART, inbound calls, and your Google or Outlook calendar.

4. Start with respond, qualify and book

They repeat the most and are the easiest to measure. Most teams see the difference here first.

5. Add the demo meeting

Let the AI give the first demo in Google Meet, Zoom or Teams and call you in for the price.

6. Then proposals, trials and every decision-maker

Quotes signed online, check-ins during the trial, and follow-ups with each person on the deal.

7. Review real calls and meetings every week

Change the questions and the moments your team steps in, based on what the leads actually said.

On Levrage you describe the job to Bob, our AI operator, and it builds the agent; you test it with a call to your own phone before any lead hears it.

05What to measure

Measure them for a month before the AI starts and a month after, on the same lead sources. On Levrage they come from every call and meeting into ROI dashboards.

06AI presales agents, AI SDRs and demo tools

Three kinds of tools are called “AI for presales”, and they do different jobs:

• AI SDRs find prospects and write to them by email and LinkedIn. Most hand over once someone replies.
• Demo and RFP tools help your presales engineers: interactive product tours, demo environments and libraries of past answers.
• AI presales agents talk to the lead themselves, on calls, WhatsApp and in the meeting, and carry the deal through qualifying, the demo, the proposal and the follow-ups. Levrage is this kind.

07Questions

See the AI presales agent on a real deal, or how it runs a client meeting with the AI meeting assistant.