You can't hire your way
out of an ops bottleneck.
Deskless gives your team AI virtual employees 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.
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."
Not because anyone is failing. Because the volume of work outpaces the capacity to do it manually. The ops manager working until 8pm is a symptom, not a solution.
"I don't know there's a problem until it's already a crisis."
Churn, pipeline health, MRR movement these are all visible in hindsight. By the time someone surfaces the signal, the window to act has often passed.
"Our CTO says we could build this internally."
Maybe. In 8–12 weeks. Using engineering capacity you need for product. And then someone has to maintain it. Deskless is live in hours and requires no engineering resource after setup.
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 judgment 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.
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.
Connected to the tools you already use.
IVP connects to your existing SaaS stack HubSpot or Salesforce, Stripe or Chargebee, Intercom or Zendesk and joins the data into a clean, governed layer.
Configure your first Deskless agent on the workflow your team most wants back. Most SaaS teams start with pipeline hygiene or churn monitoring. First agent live the same day.
Set it on a recurring schedule. Daily, weekly, monthly whatever cadence your workflow needs. Outputs arrive in Slack, email, Google Docs, or CSV.
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.
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 is live the same day. No engineering required to set up or maintain. Next workflow: hours, not sprints.
Give your ops team the leverage they don't have time to build.
Book a 20-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.
30-day pilot. First workflow live same day. If it doesn't save time, you don't pay.