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.

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Built for SaaS teams scaling faster than their ops can keep up with.

IVP.ai / Deskless

2–8 November 2026 · Week 45

Weekly revenue overview

MRR is up.
Two accounts at risk.

Net new MRR grew for a third week. Pipeline creation slowed, and two accounts show churn signals.

MRR: £184,200; +2.1% vs last week
Net new MRR: £3,800; +£600 vs last week
Logo churn, 30 days: 1.4%; −0.2 pts vs last week
Pipeline created: £96,000; −12% vs last week

MRR movement this week

New business+£4,600
Expansion+£2,100
Contraction−£900
Churn−£2,000

Net new MRR: +£3,800

Accounts showing churn signals

Account	MRR	Signal
ACC-1042	£2,400	Logins down 60% in 30 days
ACC-0877	£1,150	Renewal in 45 days, champion left

The week in words

Growth held. Watch the pipeline.

MRR reached £184,200, up 2.1% on last week. New business added £4,600 and expansion £2,100. Churn cost £2,000, from a single account.

Pipeline creation is slowing

£96,000 of new pipeline was created, 12% down on last week. Eleven open deals have had no activity for 21 days.

Next week’s priorities

01
Book check-in calls with the two at-risk accounts.
Owner: Customer success
02
Update or close the 11 stale deals.
Owner: Sales

Illustrative report, fictional data. Not customer results or a live product screenshot.

Illustrative report with fictional data, not customer results or a live product screenshot.

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.

More work than time, so 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.

Problems only surface once they're 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.

The case for building it in-house

Maybe. In 8–12 weeks. Using engineering capacity you need for product. And then someone has to maintain it. We build your first workflow with you in the free 48-hour pilot, and it needs no engineering resource afterwards.

“We stopped arguing about whose spreadsheet was right. Everyone works from the same numbers, and the reports we used to build by hand just arrive.”

J CooperHead of Commercial Strategy, Centtrip

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

We build your first workflow with you in the free 48-hour pilot. After that your team runs it, with no engineering resource needed to maintain it. Each new workflow builds on the same data layer.

Your first report or agent in 48 hours.

Tell us which systems feed it. We connect them, clean the data and set the report running automatically. If it isn’t useful, walk away.

Apply for a 48-hour pilot Book a demo