Deskless by IVP.ai for SaaS and growth companies
You can't hire your way out of an ops bottleneck.
Deskless runs automated workflows that handle the pipeline hygiene, churn monitoring, MRR reporting, and customer health workflows that fall through the cracks when your team is running at capacity. Automatically, on a schedule, connected to your existing SaaS stack.
Built for SaaS teams scaling faster than their ops can keep up with.
01 / The problem
Your ops team is doing the work of a team twice the size. Something will slip.
The problem isn't that your team isn't good. It's that you're growing faster than your operational processes can scale. Pipeline records go stale. Churn signals get missed. MRR numbers aren't ready when the board meeting starts.Hiring doesn't fix this, it delays it. Every new hire needs onboarding, and by the time they're productive, the business has grown again. The only sustainable answer is to make your existing team more leveraged.
“There's always more to do than time to do it. Things fall through the cracks.”
“I don't know there's a problem until it's already a crisis.”
“Our CTO says we could build this internally.”
02 / The solution
Deskless is the ops leverage your team doesn't have time to build.
Pipeline hygiene runs overnight. Churn alerts land in the CSM's inbox at 8am. MRR movement reports are ready before the Monday standup.
Nobody triggers these runs. Nobody monitors them. Nobody formats the output. It's done.
Why this is different from Zapier or Make
Zapier handles triggers: when X happens, do Y. Deskless handles judgement: it reads your data, applies reasoning to each record, scores, prioritises, and produces finished outputs that your team can act on. These are different jobs.
03 / What it automates
What Deskless automates for your ops team.
Churn risk monitoring
Deskless monitors product usage, support ticket volume, NPS scores, and login frequency daily. When an account drops below your risk threshold, the CSM gets an alert with context and suggested action before the renewal becomes a save conversation.
Pipeline hygiene
Every night, Deskless reviews every open deal in your CRM. It flags deals with no activity in 14+ days, missing fields, and forecast categories that don't match deal age. The sales rep gets a prioritised to-do list every Monday.
MRR movement reporting
At month-end, Deskless pulls your billing data, reconciles new MRR, expansion, contraction, and churn MRR, and produces a waterfall breakdown formatted for your board before anyone has to ask for it.
Customer health scoring
Build a composite health score across every account using usage data, financial data, support history, and stakeholder engagement. Deskless recalculates and distributes the dashboard weekly.
Expansion and upsell signals
Monitor plan usage limits across your customer base. When an account is approaching a seat, usage, or API call limit, Deskless triggers the upsell sequence at the moment the signal is strongest.
Voice of customer synthesis
Deskless aggregates feedback from NPS surveys, support tickets, sales call notes, and review platforms, clusters it by theme, and produces a fortnightly brief for product and leadership.
04 / How it works
Connected to the tools you already use.
- 01
IVP.ai connects to your existing SaaS stack (HubSpot or Salesforce, Stripe or Chargebee, Intercom or Zendesk) and joins the data into a clean, governed layer.
- 02
Configure your first Deskless agent on the workflow your team most wants back. Most SaaS teams start with pipeline hygiene or churn monitoring.
- 03
Set it on a recurring schedule. Daily, weekly, monthly: whatever cadence your workflow needs. Outputs arrive in Slack, email, Google Docs, or CSV.
- 04
As your team builds confidence in the outputs, add more agents. The leverage compounds: churn monitoring leads to expansion signal detection, pipeline hygiene leads to forecast accuracy.
05 / Build vs buy
Your CTO is right: you could build this.
A custom-built churn monitoring system. A bespoke pipeline hygiene workflow. An internal MRR reporting tool. Yes, your engineering team could build all of these.
The question isn't whether your CTO can build it. It's whether they should when there's a product to ship.
Here's the actual cost of building it
- 8–12 weeks of engineering time per workflow
- Competing with your product roadmap for the engineering capacity
- Ongoing maintenance every time the data schema changes or a new tool is added
- Zero leverage the next workflow starts from scratch
Deskless setup is guided by our team, with no engineering resource needed to maintain it. Each new workflow builds on the same data layer.
Give your ops team the leverage they don't have time to build.
Book a 30-minute demo. We'll show you what Deskless produces on one of your current manual workflows (pipeline hygiene, churn monitoring or MRR reporting) and what the output looks like before your team starts work on Monday.
Guided setup: we connect your systems with you.