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AI for Financial Services Firms

Custom AI tools for boutique investment firms, RIAs, M&A advisors, family offices, and wealth managers. We automate the high-volume, low-judgment work that's eating your team's time so they can focus on deals, clients, and decisions.


The work that scales the slowest

Boutique financial services firms run lean. The same handful of professionals source deals, run diligence, manage clients, and handle compliance. The bottlenecks are predictable.

Manual deal pipelines

New opportunities arrive by email, in conversations, and through referrals. Logging them, tagging them, and routing them to the right partner happens by hand, when someone has time.

Document review backlogs

NDAs, term sheets, LPAs, vendor contracts, KYC packets. Reviewing each one takes a senior person an hour they don't have, so things sit in inboxes for days.

Investor and client reporting

Quarterly letters, monthly updates, ad-hoc requests. Pulling the data, drafting the narrative, and formatting the deliverable consumes a disproportionate share of the team's time.

Compliance and operational drag

Internal questions about IT, HR, expense policy, and compliance interrupt deal work. Smaller firms can't justify dedicated ops staff, so the burden falls on partners.

Custom AI tools for financial services firms

We don't sell off-the-shelf products. We build the version that fits your stack, your data, and your way of working.

Deal pipeline automation

Inbound opportunities are captured from email, calls, and referrals; tagged by sector, stage, and source; and routed to the right partner. Per-deal intake drops from 20-30 minutes to seconds.

NDA and contract markup

Draft NDAs, term sheets, and engagement letters arrive marked up against your firm's playbook in minutes, not days. Senior reviewers spend their time on judgment calls, not redlining boilerplate.

Internal Slack or Teams ops bot

Answers routine questions about IT, HR, expense policy, and internal SOPs. Logs every interaction. Cuts the 30-50 small interruptions that fragment partner time each week.

Investor letter and update drafter

Pulls portfolio data, prior letters, and market context to draft monthly or quarterly updates in your firm's voice. You edit, approve, send. Hours of staff time become minutes.

Diligence document Q&A

Drop a data room, get an indexed assistant your team can ask questions of: "What's the customer concentration?" "What's in the indemnity carve-outs?" Cuts diligence reading from days to hours.

Pitch and memo generators

Investment memos, IC decks, and pitch materials drafted from underlying data and your firm's templates. Standardizes quality across the team and frees senior bandwidth.

KYC and onboarding intake

Client intake documents are parsed, validated against your KYC checklist, and flagged for the missing items. Onboarding moves faster and the audit trail builds itself.

Research aggregator

Pulls news, filings, and tracked-company updates into a single morning brief tailored to your portfolio and watchlist. Replaces 45 minutes of manual scanning.

How a boutique investment firm cut deal intake from 30 minutes to seconds

A three-part AI stack: deal pipeline workflow, NDA markup generator, and an internal Slack ops bot. Same partners, same headcount, materially more bandwidth for actual deal work.

Financial services

Boutique investment firm: deal pipeline, NDA markup, and a Slack ops bot

NDA turnaround dropped from one to two days down to minutes. The ops bot handles routine internal asks 24/7 so partner time goes back to deals. Read the full breakdown.

Read case study →

Operators first, coders second

Most AI shops can build a polished app. Fewer can tell you whether it's the right thing to build.

Our team's background spans private equity, M&A, operating small businesses, and serving on boards. We've been the ones drowning in NDAs and quarterly letters and one-off diligence asks. We know which work is judgment-heavy and worth your team's time, and which work is structured enough to automate cleanly.

That filter shows up in every engagement: we design tools that strengthen the firm underneath, not pretty interfaces that gather dust on a shelf.

What financial services firms ask

Specific to the questions we hear most often from FS prospects. For general questions, see our main FAQ.

How do you handle confidential deal data and MNPI?
We use enterprise AI providers (Anthropic, OpenAI) under their no-training data policies, which means your data is not used to train models. For sensitive workflows, we deploy to your own cloud accounts and follow least-privilege access on every tool we connect. We can sign NDAs, BAAs, or confidentiality addenda as needed, and we scope additional controls upfront for firms handling MNPI or regulated data.
Will this integrate with our existing stack (Salesforce, DealCloud, Affinity, etc.)?
Yes. Most of the systems financial services firms run, including Salesforce, DealCloud, Affinity, HubSpot, Box, SharePoint, and Microsoft 365, expose APIs we can build against. We integrate where it adds value and avoid duplicating systems of record. Discovery includes mapping your current stack so the build extends what you have rather than competing with it.
We're a small firm. Is this overkill?
The opposite. AI-assisted development has collapsed the cost of building tailored software. For decades, only large firms could justify custom internal tools. A boutique can now ship a deal pipeline workflow or a markup engine for less than a year of subscription fees on the off-the-shelf alternative, and own it outright. The firms that capture the most upside from these tools are the ones small enough to deploy them across their whole team in a week.
Can we start with one workflow before committing to more?
Yes, and that's how most engagements begin. We typically scope a single highest-ROI tool first, ship it in two to six weeks, and let it pay for itself before discussing what to build next. If the first tool doesn't deliver, you don't owe us a second engagement.

See what we'd build for your firm.

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