PeerIslands was repositioned around AI-driven pilot-to-platform engagements.
GLOBAL IT SERVICES COMPANY / GO-TO-MARKET
New go-to-market model moved beyond MongoDB referrals.
The client was a product development and digital engineering firm with deep MongoDB specialization, approximately 100 employees, and a strong technical reputation. Its growth depended heavily on one channel partner and the founder's network, and it had no formal sales function. PivotX addressed its positioning, channel economics, direct-deal model, commercial capabilities, and partnership strategy.
Industry
Professional Services
Function
Go-to-Market Strategy
Engagement Length
Approximately eight weeks
Outcome
Acquisition by Francisco Partners portfolio company
RESULTS
Clearer market position
Commercial functions added
The company built sales and pre-sales capabilities and a direct-deal framework.
Joined Wynter
Wynter is a Francisco Partners portfolio company. This was PivotX's first paid strategy engagement.
The engagement established the approach PivotX later used in other go-to-market and strategy projects.
THE SITUATION
A global IT services company had strong technical expertise but limited paths to new revenue.
Our client had 90% of employees in technical roles, no formal sales or marketing function, and a corporate identity that covered too broad a service surface. MongoDB-sourced opportunities accounted for 60 to 70% of deal volume. Direct deals depended almost entirely on the founder's personal network.
Leadership and investors expected a growth pace the current model couldn't support.
01
60 to 70% of deal volume through a single channel partner
02
Direct revenue dependent on founder's personal network
03
No formal sales or marketing function
04
Corporate identity too broad to generate a strong category association
THE WORK
What we built
01
Positioning and operating-model redesign
Before working with PivotX, the client depended heavily on MongoDB referrals and the founder's network. Expanding beyond those channels required changes to its positioning, sales capabilities, and partnership strategy.
Over eight weeks, PivotX interviewed company leaders, MongoDB stakeholders, and customers; analyzed competitors and adjacent markets; and reviewed channel economics, direct-deal monetization, the operating model, and potential partnerships.
PivotX repositioned the client around AI-driven pilot-to-platform engagements and recommended changes to its MongoDB economics, direct-deal model, sales and pre-sales capabilities, and partnership mix.
02
Commercial capabilities built for growth
The recommendations also had to reflect what the client could execute with its existing team and resources.
PivotX helped the company refine its positioning, restructure its go-to-market approach, and build the commercial functions identified as missing.
The client later joined a portfolio company, bringing its MongoDB specialization and engineering experience into a commercial model designed to scale.
WHERE THIS TRANSFERS
Where this applies
Your firm is technically strong but most of your revenue flows through relationships that don't scale.
You have deep expertise in a domain but the market doesn't recognize it clearly enough to seek you out for it.
You're growing, but growth depends on the same few people and the same few relationships it always has.
Proof
Pilots that became operating procedure.
PivotX has taken companies from initial assessment to production-grade AI in weeks, not quarters. The cases below aren’t proofs of concept. They’re actual production.
Which procurement workflow is creating the longest delay?
We can review the manual steps, handoffs, and systems involved and identify a practical place to begin.