Industry 05B2B SaaS
AI for B2B SaaS companies, for the work around the product.
Demo requests that wait until morning. Security questionnaires that stall a signed deal. An AI bill that grows faster than revenue. We find where the company around your product loses the most, install the play that fixes it, and run it for you.
01Where the return is
Most AI in a SaaS company goes into the product. We start with the company around it.
Your engineers are building AI features for customers. The work that sells, supports and bills the product still runs on inboxes and spreadsheets, and nobody has a sprint to spare for it.
Assistants inside the product
Support chatbots
Marketing copy by the page
Coding assistants
Demo requests answered in a minute
Security questionnaires drafted from past answers
An AI bill that grows faster than revenue
Churn you see before the renewal call
02The desk
Hand it a document. Step it through.
Three things that reach a growing software company every week. Pick one, then walk it through the four steps the play takes.
We are replacing our current tool before its renewal in November and have two vendors on the list. Can we see the reporting side?
A strong fit: 40 seats, an evaluation this quarter and a renewal date. Routed to the account executive for the region.
- 21:14:08Arrives
A demo request from your website at 21:14, after the team has logged off.
- 21:14:12
Company, size, role, seats and timeline lifted from the form, and the company checked against your CRM. It is a new account.
- 21:14:31
Scored a strong fit: 40 seats, an evaluation this quarter and a renewal date. Routed to the account executive for the region.
- 21:14:56
Answered in 48 seconds with a booking link, and the account executive has the brief. The lead sits in your CRM once, with its source.
| Question | Drafted answer |
|---|---|
| Is customer data encrypted at rest? | Yes, with AES-256 |
| Do you hold a SOC 2 Type II report? | Yes, report dated June |
| Do any subprocessors store data outside the US?The answer changed since the last questionnaire. Held for the security lead | Needs a person |
| 209 more questions | |
- 10:05:02Arrives
A security questionnaire from a prospect in legal review: 212 questions across nine tabs, due Friday.
- 10:05:40
Every question lifted and matched to answers you have given before, in past questionnaires, your security page and your policies.
- 10:21:17
204 answered from sources you have already approved, each with its source attached. Eight need a person, including one whose answer has changed since last time.
- 10:24:03
The draft goes to the security lead with the eight open questions on top. The deal stops waiting on a spreadsheet.
| Line | Amount |
|---|---|
| Largest model, input and outputMostly the ticket classifier, a task a small model handles. Routing change drafted | 29,870.00 |
| Small model, input and output | 4,290.00 |
| Embeddings | 2,110.00 |
| Two keys with no product traffic | 2,150.00 |
- 07:40:21Arrives
The September bill from your model provider: $38,420.00, up 41% on August.
- 07:40:26
Every line matched to its API key, the product feature behind it and the team that spent it.
- 07:52:10
Most of the rise is the ticket classifier calling the largest model for a task a small one handles. Two keys still bill with no traffic from the product.
- 07:55:44
A routing change and two key shutdowns drafted, each with the dollars it recovers and the bill line it came from, for the engineering lead to approve.
Sample documents. Account numbers, answers and figures are illustrative. The play runs on your documents, in your systems.
03Where we would look first
Five places AI pays in a software company.
StrikeArc Scout scores all twelve plays against your own answers. These five are where we would start looking in a growth-stage B2B SaaS company, and the readout says plainly which to skip.
- 01P07Answer every lead in 60 secondsREV
Demo requests that wait until morning
Requests land after hours and from other time zones. The prospect books a demo with whoever answers first.
ReportsAnswer time, demos booked and revenue per lead.
- 02P08Instant quotes, proposals, RFPs, and contractsREV
Security questionnaires and RFPs that stall deals
A signed deal waits on a spreadsheet of 200 questions that one person answers by hand.
ReportsQuote turnaround and win rate.
- 03P04Stop overpaying for AICOST
An AI bill that grows faster than revenue
Features call the biggest model for every task, keys outlive their experiments, and nobody sees the spend by feature.
ReportsDollars of AI spend recovered.
- 04P10Get told before it becomes a problemCOST
Churn you see at the renewal call
Usage falls for weeks before a customer cancels. The account team finds out when the renewal is already lost.
ReportsEarly catches on churn, margin and cash.
- 05P09Know every competitor moveREV
Competitor moves you hear about from customers
A competitor changes its pricing page or ships a feature, and sales hears it on a call.
ReportsBattlecard freshness and competitive losses.
04Find
What StrikeArc Scout measures in a SaaS company.
StrikeArc Scout, our Intake and Diagnostic, works from your answers and read-only access to your systems. It puts a dollar figure on each workflow before we recommend a play.
Intake, scoring and a readout with our recommendation. Free, and yours to keep.
One play at $20,000 one-time, or the library at $7,500 a month with one play installed each quarter.
Keep reading.
Other industries.
How to get started
Bring last month's AI bill to the call.
Thirty minutes with the founder, CEO or COO. If a play could fit, StrikeArc Scout comes next.