Skip to main content
B2B SaaS

You have a product. Your go-to-market is running on manual effort.

B2B SaaS companies with early traction often have strong product but leaky pipelines, manual onboarding, and no reliable way to turn usage data into expansion revenue. We map the workflow between interest and expansion and build systems that make it run.

Where b2b saas lose revenue and capacity.

These are the workflow patterns that commonly create drag. Each one is diagnosable and fixable.

Pipeline stalls after the demo

Demos go well. Then the deal sits in legal or procurement while your team manually follows up. Close rate drops and cycle length grows.

Onboarding is too manual to scale

Every new customer requires significant hands-on setup. Customer success is maxed. NPS suffers because onboarding takes too long.

Expansion revenue is invisible

You have customers who could expand but your team isn't getting the signal early enough. Usage data exists in the product. It's not connected to your CS workflow.

Churn is understood too late

By the time a customer says they're leaving, the decision has often been forming for a while. There was a signal. No one saw it.

What the fix looks like.

We map the workflow first. These are examples of what that mapping typically surfaces and what gets built.

Current state

Sales follow-up is manual. Reps decide when and how to stay in touch.

After the fix

CRM AI automation triggers structured follow-up sequences by deal stage. Nothing stalls because someone forgot.

Current state

Onboarding completion tracked in a spreadsheet updated by a CS manager

After the fix

Onboarding milestone tracking automated from product data. CS team alerted only when intervention is needed.

Current state

Expansion identified when CS has bandwidth to look, not when the signal is strongest

After the fix

Usage data triggers expansion alerts at the right moment. CS reaches out when the customer is already seeing value.

Before and after.

Before

Demo-to-close cycle stretching longer than it should. Onboarding requires too much CS time. Churn recognized when the customer cancels. Expansion revenue left on the table.

After

Automated follow-up shortens the cycle. Onboarding runs with minimal CS intervention. Churn signals trigger proactive outreach. Expansion revenue captured from usage data.

How we start.

Every engagement starts the same way: mapping the workflow. No brief-taking. No scope inflation. One workflow, scoped and agreed, mapped to a clear output.

1

Scope agreed

One workflow identified. We confirm it is diagnosable within the engagement.

2

Workflow mapped

Every step, owner, and handoff documented. Gaps and bottlenecks named.

3

Decision made

Build, defer, or redirect. With reasoning. Not a list of options.

4

System built

If the gap is real, we scope and build. If it is not, we say so.

Map where your pipeline and retention workflow is losing ARR.

We start with a consultation request. No commitment, no scope inflation. We tell you whether the workflow is diagnosable and what the engagement would produce.