Use cases by function7 use cases
Sales automation that does the research, not the spamming
The cold-outbound wave taught everyone what AI in sales should not be. Tools that send personalized-sounding email at scale burned domains and goodwill, and buyers now recognize it in one line. The work that pays is quieter: answering inbound interest quickly and correctly, doing the research a rep would otherwise do by hand, turning a request for quote into a draft quote, and keeping the CRM true without asking anyone to type.
Sales and marketing is already where businesses use AI most. Census Bureau research published in April 2026 found that 52% of US firms using AI apply it in sales and marketing, ahead of every other function. Most of that is writing help. The builds here go further: they read from and write to the CRM, the ERP and the calendar, and they act inside rules someone on your team owns.
In practice that means every inbound lead researched and routed before a rep opens it, RFQ emails with drawings turned into draft quotes, freight quote requests answered in minutes, a CRM that updates after every call, and trades that stop losing jobs to voicemail.
Sales and lead handling systems I can build
Every inbound lead researched, scored and routed before a rep opens it
Researches and scores every inbound lead against your rubric, catches existing customers, routes by territory and capacity, and replies with a booking link.
HubSpot / Salesforce / Enrichment provider (Clay or Apollo) / Cal.com or Calendly / Slack
Freight quote requests in four languages, answered in minutes and priced by your own rules
Reads freight quote requests in your customers' languages, asks for what is missing, prices the lane with your margin rules, and sends or drafts the quote.
Outlook and Microsoft 365 / TMS (Soloplan CarLo, Transporeon, CargoWise or similar) / Freight exchange data (Timocom, Trans.eu; DAT in the US) / HubSpot or the TMS customer record / Truck routing API (PTV or HERE)
Law firm intake that runs the conflict check before anyone calls the prospect back
Captures every inquiry, after hours too, searches conflicts across parties and their groups, flags deadlines, and prepares the engagement letter for a lawyer.
Practice management system (RA-MICRO, Clio, LEAP or Actionstep) / Outlook and Microsoft 365 / Website form and chat / Calendar / iManage
RFQ emails with drawings turned into draft quotes in your ERP, priced from your own job history
Reads RFQ packages, measures STEP files, flags revision and unit conflicts, finds similar past jobs and drafts an ERP quote for the estimator to price.
Outlook and Microsoft 365 / SAP Business One or Business Central / Excel price lists / PDF drawings and STEP files / Vector index of past quotes
An after-hours phone agent for trades that books jobs and puts emergencies through
Answers after-hours calls, puts gas and water emergencies through to the on-call technician, books routine jobs into real slots, and transfers anyone who asks.
Twilio / Real-time voice model / Field service software (HERO, Plancraft, Craftnote; Jobber, ServiceTitan or Housecall Pro in the US) / Google Calendar / WhatsApp
Finding public tenders worth bidding on, and answering them from your own bid library
Watches TED and national portals, scores tenders against your capabilities, builds the compliance matrix, and drafts answers only from approved sources.
TED and national tender portals / SharePoint bid library / Word / Excel compliance matrix / Microsoft Teams
Sales calls and emails that update the CRM on their own, after the rep approves
Reads customer calls and email threads, proposes stage, next step and close date changes with evidence, and writes them to the CRM after one click from the rep.
HubSpot / Salesforce / Gmail or Outlook / Zoom, Google Meet or Microsoft Teams / Slack
Where AI earns its place in a sales process
Speed on inbound, not volume on outbound
The value is in answering the people who already asked, quickly and with the right information, rather than in contacting more people who did not.
Research a rep would do anyway
Company size, systems, recent news, an existing account, an open support ticket: gathered before the first reply, so the rep's first minute is spent selling rather than searching.
In B2B, the quote is the bottleneck
RFQs, freight quotes and tenders are won by whoever answers first with a correct number. The model reads the request; pricing rules stay in code; a person sets the final price.
The CRM as a by-product
Field updates proposed from calls and emails, each with the sentence that justifies it, approved in one click. Pipeline reports start telling the truth because nobody has to remember to update them.
What I would not automate
Negotiation, pricing exceptions, anything that commits the company, and cold outreach at volume. The first three need judgment; the last one mostly damages your domain.
Frequently asked questions
Can AI qualify leads automatically?
Yes, if qualification is written down. The model extracts signals from the form, the email and enrichment data; a rubric in code scores them; the lead is routed with the reasons attached. What should not be automated is the rubric itself. Sales leadership owns it, and it is reviewed against won and lost deals every quarter.
Does this work with HubSpot and Salesforce?
Yes. Both have mature APIs, and HubSpot now has an official MCP server with read and write access to CRM records. The builds read contacts, companies and deals, write back proposed updates with an audit trail, and respect the fields your team already uses rather than inventing new ones.
Is lead enrichment GDPR compliant?
It can be. For business contacts, legitimate interest is usually the lawful basis, which means a documented balancing test, enrichment limited to business information, a clear privacy notice and an easy way to object. Scraping personal social profiles is where most enrichment setups cross the line.
How do I automate lead follow-up without annoying people?
Follow up on what the person actually asked about, stop the moment they reply, cap the number of touches, and hand warm replies to a person immediately. Personalization that is only a first name and a company name reads as automation. Personalization that references their actual request reads as service.
Also browse: HubSpot · Salesforce · SaaS · Manufacturing and distribution · all use cases