We provide institutional fund managers with an AI-powered outsourced Portfolio Management function — delivering institutional-grade reporting, performance intelligence, and LP-ready narratives at a fraction of the cost and operational risk of a full-time hire.
The traditional PM function is operationally inefficient by design. Highly compensated investment professionals spend substantial portions of their time consolidating data, formatting reports, reconciling models, and producing recurring investor materials.
In most firms, the analytical and narrative work that actually requires investment judgment represents a minority of the workload. The rest is production overhead attached to a senior salary base.
Agentic AI changes the economics fundamentally.
Data consolidation, variance flagging, model refreshes, and first-draft reporting can now be systematized at high reliability. That allows experienced investment professionals to focus almost entirely on interpretation, escalation, portfolio judgment, and LP communication.
The result is a PM function that is faster, more scalable, more consistent, and materially less expensive to operate.
LP scrutiny is highest during fundraising cycles. Every investor request, reporting package, and portfolio walkthrough becomes a live test of institutional credibility. Internal teams are often stretched precisely when responsiveness and polish matter most.
What we DoWe provide institutional-grade reporting, performance analysis, LP materials, and investor meeting preparation on compressed timelines. We build the briefing books, performance narratives, anticipated Q&A responses, and portfolio reporting infrastructure that support the fundraising process end-to-end.
OutcomeThe GP walks into LP meetings fully prepared, highly responsive, and institutionally polished — without needing to rapidly expand permanent headcount during the fundraising window.
A Portfolio Manager goes on maternity, medical, or extended leave, but the portfolio does not pause. Reporting cycles, LP obligations, performance monitoring, and investment committee preparation continue uninterrupted.
What We DoWe step in immediately with structured onboarding, full portfolio immersion, and continuity across the PM function. Reporting quality, responsiveness, and analytical coverage remain consistent throughout the leave period.
OutcomeThe fund maintains operational continuity with no degradation in reporting quality, LP experience, or portfolio oversight — while the returning PM inherits a fully documented and organized function upon return.
The fund decides to institutionalize or expand its PM function, but recruiting a high-quality PM can take months. During that period, reporting obligations and portfolio oversight requirements continue to compound.
What We DoWe operate as the interim PM function while simultaneously building the systems, templates, workflows, and reporting infrastructure that support the long-term role. We stabilize the function immediately while reducing onboarding friction for the eventual hire.
OutcomeThe GP eliminates execution risk during the hiring gap while accelerating the effectiveness of the eventual full-time PM from day one.
The existing PM team is capable but operating at or beyond capacity. Fundraising cycles, new acquisitions, increased LP scrutiny, or portfolio complexity create operational bottlenecks that internal bandwidth cannot absorb efficiently.
What We DoWe augment the existing PM function with additional analytical and reporting capacity, integrating directly into existing workflows, templates, and communication structures. We absorb production-heavy workstreams while maintaining institutional quality and consistency.
OutcomeThe internal team gains immediate bandwidth, reporting velocity improves, and senior investment professionals remain focused on investment judgment, decision-making, and LP relationships rather than production overhead.
This model is economically viable because agentic AI dramatically reduces the manual production burden traditionally associated with portfolio management.
Data processing, reconciliation, variance detection, model refreshes, and first-draft reporting workflows can now be systematized with high consistency and speed.
Human investment judgment remains central to every engagement. AI handles production overhead. Experienced professionals handle interpretation, escalation, narrative framing, and LP-facing preparation.
The result is a portfolio management function that is faster, more scalable, more consistent, and materially more cost-efficient than the traditional model.
| Full-time VP/Director PM (base salary) | $200,000 – $300,000 |
| Bonus (20–40% of base) | $40,000 – $120,000 |
| Benefits, payroll taxes, overhead (~25%) | $60,000 – $105,000 |
| Recruiting fee (if using a search firm) | $50,000 – $90,000 |
| Onboarding and ramp period (3–6 months productivity loss) | Significant, unquantified |
| Total fully-loaded annual cost | $300,000 – $525,000+ |
Beyond direct cost savings: recruiting risk is eliminated, onboarding time is compressed, and the organizational disruption of PM turnover — which typically resets institutional knowledge for 60–90 days — is replaced by a documented, system-driven function that is resilient to personnel changes.
The shift is not abstract. Specific, recurring friction points disappear — replaced by systems, anticipation, and capacity that persists.
Ready to discuss your fund's reporting needs? We begin every engagement with a 30-minute conversation — no pitch, no pressure.
Confidentiality maintained. No obligation. We respect your time.