Your portfolio companies have revenue targets.Most don't have the system to hit them.
We build structured commercial systems for B2B SaaS portfolio companies. So pipeline data becomes reliable, forecasting becomes accurate, and scaling becomes controlled.
The problem in VC portfolios
Commercial execution fails not because of the team, but because the system behind the team was never built.
Unreliable pipeline data
Board decks show pipeline numbers that nobody trusts. Deals sit in stages for months. Win rates are calculated differently every quarter.
Inaccurate forecasting
Forecast misses of 20-40% are common. Without structured stage criteria, every forecast is based on opinion, not data.
Scaling creates chaos
Adding reps before the commercial system is defined means more people doing things differently. Headcount goes up, consistency goes down.
Not ready for next round
Series B and C investors look at operational maturity. Messy system data and ad-hoc processes signal risk, not readiness.
What happens inside portfolio companies
Most startups scale headcount before building a commercial operating system. The result is predictable.
No defined lifecycle stages. Leads, opportunities, and customers flow through the commercial system without clear criteria for progression.
Sales reps define their own process. Every rep qualifies, stages, and forecasts differently.
Marketing and sales disagree on what a qualified lead looks like. Handoff criteria don't exist or aren't enforced.
Reporting is manual and inconsistent. Every board report requires a week of data cleanup.
The commercial system is treated as a logging tool, not as a commercial operating system.
The Adoption Gap
There is a gap between how a company designs its commercial process and how the commercial system actually enforces it.
Intended process
Leadership defines stages, criteria, and handoffs on paper or in workshops.
Actual behavior
The commercial system has no rules. Reps skip stages, leave fields empty, and create their own workarounds.
The gap
The difference between intended and actual is where pipeline data breaks, forecasts miss, and scaling fails.
Lifecycle Architecture Framework
A structured methodology for building commercial systems that make pipeline data reliable and forecasting accurate.
Lifecycle stages
Every phase from first touch to closed-won to customer expansion, defined with entry and exit criteria.
Decision rules
Objective criteria that determine stage progression. Removes subjectivity from pipeline management.
Structured data
Properties, fields, and objects designed to capture what matters. Not just activity, but commercial truth.
AI governance
Once rules and data are structured, AI tools become reliable. Without structure, AI amplifies existing problems.
How we work with VC firms
We operate at two levels: portfolio-wide assessment and individual company engagement.
Portfoliobeoordeling
We evaluate commercial system maturity across your portfolio. You get a clear picture of which companies need intervention and where the highest ROI sits.
Individual company engagement
We work directly with portfolio company teams to build or redesign their commercial system. Typically starting with a diagnostic, followed by implementation.
Ongoing architecture support
For companies scaling rapidly, we provide fractional architecture capacity. Ensuring the commercial system evolves as the company grows.
Typical engagement with portfolio companies
Commercial system diagnostic
2-3 weeks. We audit the commercial system, interview stakeholders, and document where the system breaks. Output: a prioritized action plan.
2-3 weeks
Lifecycle design and implementation
4-8 weeks. We define stages, build decision rules into the commercial system, and create the dashboards that leadership needs.
4-8 weeks
Governance and scaling
Ongoing. As the company hires reps, enters new markets, or launches new products, the system adapts.
Ongoing
What this increases
Forecasting reliability
Structured stages and decision rules mean forecasts are based on data, not opinions. Variance drops significantly.
Operational maturity
A governed commercial system signals to investors that the company can scale predictably.
Valuation readiness
Series B and C investors evaluate commercial infrastructure. A structured system de-risks the investment thesis.
Services
Portfolio Commercial Assessment
Evaluate commercial system maturity across multiple portfolio companies. Identify highest-impact intervention points.
Duration: 2-4 weeks
Commercial System Build
End-to-end: diagnostic, lifecycle design, system implementation, and reporting setup for individual portfolio companies.
Duration: 6-12 weeks
Fractional Revenue Architect
Ongoing architecture support for rapidly scaling portfolio companies. Embedded in the company's RevOps or leadership team.
Duration: Ongoing
Want to assess commercial readiness across your portfolio?
Let's discuss how structured commercial systems can accelerate growth and de-risk your investment.