Sales CRM
Companies, contacts and opportunities: a sales pipeline, the interactions, and AI that advises on the next step.
A lightweight CRM for a sales team. Opportunities move through a pipeline and carry an amount weighted by their probability; the AI assesses their risk and advises on the next action from the notes. Interactions with clients are logged and summarized, and companies roll up what they represent.
4 tables
Opportunities 6 sample rows
A possible sale, from discovery to signature or to being dropped.
- Name Short text
- Stage Single select
- Amount Number
- Probability (%) Number
- Weighted amount Formula
- Expected close date Date
- Owner Person
- Notes Long text
- ✦ Risk Single select
- ✦ Recommended next step Short text
- Company → Companies
- Contact → Contacts
| Name | Stage | Amount | Probability (%) | Weighted amount |
|---|---|---|---|---|
| Gulf Coast Chemical — maintenance software | Negotiation | €48,000.00 | 70 | |
| Martin & Sons Optical — POS and loyalty | Proposal | €9,500.00 | 50 | |
| Atlantic Health — patient portal | Qualification | €120,000.00 | 25 |
Companies 5 sample rows
Customer and prospect accounts.
- Name Short text
- Industry Single select
- Size Single select
- City Short text
- Website URL
- Opportunities Count
- Amount in play Rollup
| Name | Industry | Size | City | Website |
|---|---|---|---|---|
| Gulf Coast Chemical | Manufacturing | Mid-market | Houston | https://gulfcoastchemical.example |
| Martin & Sons Optical | Retail | Small business | Austin | |
| Atlantic Health Partners | Healthcare | Enterprise | Boston | https://atlantichealth.example |
Contacts 5 sample rows
The people we talk to at our customers.
- Name Short text
- Title Short text
- Email Email
- Phone Short text
- Decision role Single select
- Send email Button
- Company → Companies
| Name | Title | Phone | Decision role | |
|---|---|---|---|---|
| Nicole Perry | Director of Purchasing | n.perry@gulfcoastchemical.example | (713) 555-0101 | Decision-maker |
| Julian Martin | Owner | julian@martinandsons.example | (512) 555-0102 | Decision-maker |
| Dr. Helen Robbins | Chief Information Officer | h.robbins@atlantichealth.example | Influencer |
Interactions 5 sample rows
Calls, meetings, demos: what was said, and when.
- Subject Short text
- Type Single select
- Date Date and time
- Notes Long text
- ✦ Key takeaways Short text
- Opportunity → Opportunities
| Subject | Type | Date | Notes | Key takeaways |
|---|---|---|---|---|
| Software demo | Demo | 9/19/26, 10:00 AM | Demo in front of four people. Very positive reception on the scheduling features; questions about importing historical data and about hosting the data in the US. | Positive reception, questions about importing historical data and hosting. |
| Check-in on the proposal | Call | 10/6/26, 2:30 PM | The director of purchasing thinks the offer is pricey. A competitor is offering 15% less. She's expecting a concession before the end of the month. | Offer seen as pricey, cheaper competitor, concession expected before month end. |
| Loyalty program walkthrough | Meeting | 10/1/26, 9:30 AM | Meeting at the store. The owner wants digital loyalty cards and a birthday text message sent to customers. | Requested digital cards and birthday text messages. |
What the AI computes
- Opportunities › Risk
Here are a rep's notes on an opportunity at the "{{Stage}}" stage, worth {{Amount}} €: {{Notes}} What is the risk of not closing it?
- Opportunities › Recommended next step
In one sentence of 15 words or fewer, what is the single most useful next sales action to move this opportunity forward (stage "{{Stage}}")? Notes: {{Notes}}
- Interactions › Key takeaways
Summarize the key takeaways of this sales interaction in 20 words or fewer: {{Notes}}