Sales

What is Sales?

Sales tooling is good at recording what happened and poor at explaining what is likely. Sales works the other way round: it finds accounts matching a profile you describe in words, explains why each one matched, drafts outreach grounded in what is actually known about the account rather than a merge field, and builds a forecast whose drivers are visible. When a number moves, you can see which deals moved it.

Problems it solves

• Find accounts matching a described profile rather than a static list
• Explain why an account qualified, in terms a manager can check
• Draft outreach from real account context instead of merge fields
• Forecast with the drivers behind the number visible
• Keep qualification consistent across a team
• Spot accounts going quiet before renewal

Key capabilities

Prospect Discovery

Find accounts matching a described profile and explain why each one matched.

Outreach Drafting

Draft messages grounded in what is actually known about the recipient's context.

Forecasting

Project a pipeline, a harvest or a load curve, with the drivers behind the number visible.

Evidence Trail

Every figure carries the record it came from, so a reader can check the answer instead of trusting it.

Cross-Source Intelligence

Reason across several approved systems at once, so an answer is not limited to whichever database someone happened to open.

How it is built

Profile in words

Describe the customer you want in a sentence rather than assembling a filter.

Match explained

Each candidate carries the signals that produced the match, so a bad profile is visible immediately.

Grounded drafting

Outreach references what is known about the account, not a template with a name substituted.

Forecast drivers

The number decomposes into the deals and assumptions behind it.

How it works

How the work is structured, and what each step's output rests on.

1. 1

   Describe the profile

   Source

   State the customer you are looking for in plain language.

2. 2

   Discover candidates

   Observed

   Search connected sources for accounts matching that description.

3. 3

   Explain each match

   AI-inferred

   Attach the signals that caused a candidate to qualify.

4. 4

   Draft outreach

   AI-inferred

   Write messages grounded in the account's actual context.

5. 5

   Forecast

   Estimate

   Roll qualified opportunities into a forecast with visible drivers.

Example use cases

Each example has its own page you can read and share.

Ask Sales

Illustrative examples. Results depend on your own data.

• “Find mid-market manufacturers who recently opened a second site.”
• “Why did this account qualify?”
• “Which deals are carrying this quarter's forecast?”
• “Which accounts have gone quiet since the last renewal?”

Security, governance and human control

Where the software deliberately limits itself.

Questions

Does it send email on my behalf?

It drafts. Sending stays a human action, because an ungoverned outbound agent is a reputational risk, not a productivity gain.

How is the forecast calculated?

From qualified opportunities and stated assumptions, both of which are shown. It is an estimate and is labelled as one.