Industries / Asset Management

Is AI worth it for your firm, and how would you know?

Family offices, hedge funds, private credit, private equity, venture firms: the industry is moving past AI experimentation, but every vendor claims to be the solution. What the market lacks is an independent expert who understands both how investment firms operate and how to actually build with AI. Our focus is the operations side of the firm, and the investment process stays yours.

Private equity firm or portfolio company? Private equity has its own page: AI for Private Equity →

Vendor-agnostic We sell judgment and engineering, not software.
Built to move fast Intro call in days, discovery in weeks.
Deep AI engineering Recommendations from build experience, not theory.
Focused on operations Your investment process and IP stay your own.
Where value shows up first

AI transforms the day-to-day.

The highest-return AI work at a fund or firm is rarely glamorous: it's the slowness and manual effort around research production, post-trade processing, and firm reporting. That's where we focus.

Research & deal process

Memos, call notes, diligence support, and workflow automation built on the firm's own materials. Analysts and deal teams spend their time on judgment and conviction, not on assembly, formatting, and re-reading what the firm already knows.

Post-trade & fund operations

Allocation and commission breaks, trade reconciliation, and the recurring exception hunt. Agents surface the breaks instead of your team hunting for them, so ops reviews exceptions rather than re-checking everything.

Business & team productivity

Meeting capture, reporting packs, investor and LP reporting, and firm-wide summarization. The operational reporting that consumes COO and IR time gets assembled continuously instead of rebuilt for every cycle.

Governance & AI expense

A living AI policy framework that stays compliant, safe, and investor-ready as the technology moves, plus expense management: tracking token and tooling spend, measuring utility, and keeping costs under control.

Proof, not promises: a ~60% cut in annual software spend at a private-capital firm. Read the case study →

Engagement path

Intro call, then discovery, then build.

The same three steps as every Soligence engagement, and every step is designed to transfer capability: custom systems are handed to your team, not held as a dependency on us. Discovery for a fund covers architecture, tool and model selection, cost and token spend, performance, and security posture, and produces a practical roadmap.

Step 1 · Free

Intro call

30 to 45 minutes. You describe the bottleneck; we tell you honestly whether AI is the right lever and what discovery would cover. No deck, no pitch.

Step 2 · Paid, credited

Discovery

Two to four weeks. We map the workflows, data, and controls, baseline the value, and return a scoped plan with timeline and pricing. Starts at $5K, credited in full toward project work that begins within 60 days.

Step 3 · Shaped together

Project work

Argus360 for the core customer and deal intelligence, custom builds by our AI Factory for what a module does not cover. Structured the way you and we agree is best: a fixed-scope sprint, a multi-phase build, an ongoing operations partnership, or fractional AI leadership.

Most engagements follow this pattern. See how we work.

Two things worth knowing

Built for new launches. Focused on operations.

Launching a new fund?

New launches are the natural adopters: lean teams, no legacy systems, and every incentive to build the operating stack around AI from day one. The diagnostic and roadmap show concretely how: which workflows to automate first, what to buy vs. build, and how to stay investor-ready while doing it.

Focused on operations, not the investment process

We focus on the process, operations, and productivity side of the firm, and your investment IP, models, signals, and research edge stay your own. That focus is also why our recommendations never end in a pitch for our own product: we assess, design, and build with whatever tools are genuinely best for the firm.

Next step

Start with an intro call. Leave with a straight answer.

Tell us where the operational drag is: research production, post-trade processing, or reporting. Tell us whether you're evaluating plans or already building, and we'll tell you honestly whether AI is worth it for your firm right now.

Step 1 · Free

Intro call

30 to 45 minutes. You describe the bottleneck; we tell you honestly whether AI is the right lever and what discovery would cover. No deck, no pitch.

Step 2 · Paid, credited

Discovery

Two to four weeks. We map the workflows, data, and controls, baseline the value, and return a scoped plan with timeline and pricing. Starts at $5K, credited in full toward project work that begins within 60 days.

Step 3 · Shaped together

Project work

Argus360 for the core customer and deal intelligence, custom builds by our AI Factory for what a module does not cover. Structured the way you and we agree is best: a fixed-scope sprint, a multi-phase build, an ongoing operations partnership, or fractional AI leadership.

Most engagements follow this pattern. See how we work.