Who it's for
Built for local operators who know the business could run cleaner.
Med spas & clinics, home services, restaurants, local SMBs, private lenders, venture firms, and content creators — different businesses, same problem. Weak sites and stacked tools are the visible signal. The deeper issue is operational: leads fall through handoffs, staff copy data between tools, owners cannot see the business clearly, and AI experiments sit outside the actual workflow.
The pattern
Different businesses, same underlying problem.
Across every vertical YInfra works in, the operating problem looks the same: leads arrive through one channel, bookings happen in another, follow-up depends on staff memory, and the owner has no single place to see what the business is actually doing. The tools are different; the structural friction is identical.
YInfra fixes this by building one owned operating layer — branded to the client, scoped to their sector — and retiring the disconnected stack that was creating the problem. The signals below are what we look for when we assess a new business.
Vertical
Med spas, dental, and clinics
We start with public presence, intake, and non-PHI operational workflows — clarifying the offer, capturing leads cleanly, and tightening booking and follow-up. No patient-data handling until a compliance posture is explicitly scoped.
Signals we look for
- Strong reviews the website does not carry
- Booking buried or missing online
- Staff handling DMs, calls, and intake by hand
- No-show rate visible only in memory or manual log
- Follow-up for consultations falling through the cracks
AI in this sector
- Intake summarization — first-inquiry context surfaced for the front desk before a call
- Follow-up drafts — post-consult messages drafted from the CRM record
- Lead triage — OpenClaw flags inquiries that have gone quiet beyond a configurable window
Graph layer: Client → treatment → referral → provider graph maps which clients refer others, which treatment paths retain clients, and which providers drive the strongest referral networks. A flat CRM shows contacts; the graph shows warmth.
Vertical
Home services companies
We replace the messy layer between website, intake, CRM, follow-up, and internal workflow so leads stop falling through handoffs and the owner gets one clean view of booked work.
Signals we look for
- Missed-call and form leads with no clear next step
- Quoting and scheduling run from memory
- Follow-up and review requests done manually
- Owner visibility into booked work comes from calling staff
- Estimates sent with no tracking of whether they were viewed
AI in this sector
- Missed-call triage — OpenClaw routes and scores incoming leads by source and urgency
- Follow-up drafts — estimate follow-up and review-request messages drafted from CRM records
Graph layer: Referral-source tracking surfaces which job sources produce the highest-value customers over time — not just the first lead, but the downstream work that follows from each intake channel.
Vertical
Under-modernized local SMBs
We map and replace the overlapping tools with owned workflows, then add AI only where the workflow is stable enough to support it — less rented software, fewer manual steps.
Signals we look for
- Weak web presence and lackluster social proof
- Several SaaS tools doing overlapping jobs
- Manual steps staff repeat every day
- Owner cannot see business health without calling the front desk
- Leads arrive from multiple channels with no unified inbox
AI in this sector
- Tool audit summary — OpenClaw cross-references your stack against the diagnostic to identify the highest-friction overlap first
- Workflow automation — Activepieces eliminates the manual steps staff repeat every day
Graph layer: Customer-referral and repeat-visit patterns surface over time — which acquisition channels produce loyal customers and which produce one-off transactions, giving the owner a view that a flat CRM cannot produce.
Vertical
Private lenders & lending firms
We start with the operational layer around the regulated core: public presence and credibility, inbound deal and borrower intake, a clear deal pipeline and CRM, follow-up, and investor/referral tracking. Underwriting, servicing, and borrower financial data stay out of scope until a compliance posture is explicitly scoped.
Signals we look for
- Deal and borrower inquiries handled over email, calls, and spreadsheets
- No single pipeline view of deals from inquiry to funded
- Investor and referral relationships tracked from memory
AI in this sector
- Deal memo drafts — OpenClaw drafts borrower summaries and follow-up sequences from the deal record
- Portfolio Q&A — natural-language queries across the deal pipeline (which deals are stalled, which borrowers need follow-up)
Graph layer: Merchant → funder → broker → deal trees track deal velocity across the relationship graph — which brokers close fastest with which funders, where deals stall, and which merchant segments convert most reliably. The graph makes the invisible broker network visible.
Vertical
Content creators & media operators
We give creators an owned operating layer around the business behind the audience — a branded site and intake, a CRM for sponsorships and brand deals, booking, payments and invoicing, and email — connected to the platforms they keep (newsletter, storefront, socials) rather than forcing a migration.
Signals we look for
- Sponsorships, brand deals, and collabs tracked in DMs and spreadsheets
- Audience and email list locked inside one rented platform
- Payments, invoicing, and deliverable tracking done by hand
AI in this sector
- Brand deal drafts — OpenClaw drafts pitch decks, rate cards, and follow-up emails from the sponsorship CRM record
- Deliverable tracking — automated reminders and status updates keep brand partnerships on schedule without manual follow-up
Graph layer: Audience → brand → deal → content chains surface which brand partnerships drove the strongest audience engagement, which deal structures repeat, and which audience segments convert best on specific content types.
See how YInfra works for Content creators & media operators →
Vertical
Venture capital firms
We start with the operational layer around the regulated core: a branded presence and inbound founder intake, a clear sourcing-to-decision pipeline, a relationship CRM for founders, co-investors, and LPs, and structured follow-up. Fund administration, LP financial data, valuations, and investment decisioning stay out of scope until a compliance posture is explicitly scoped.
Signals we look for
- Deal flow tracked across inboxes, spreadsheets, and a partner's memory
- No single pipeline from first intro through diligence to passed or funded
- Founder, co-investor, and LP relationships scattered with no clear owner
- Portfolio intros and follow-ups that fall through once the check clears
AI in this sector
- Memo drafts — OpenClaw drafts first-look summaries and intro follow-ups from the deal record
- Pipeline Q&A — natural-language queries across deal flow (which deals are stalled, which founders are waiting on a reply)
Graph layer: Founder → company → co-investor → LP graphs map who introduced which deal, which co-investors syndicate together, and which sources surface the strongest pipeline — making a warm-intro network visible instead of trapped in one partner's inbox.
Vertical
Restaurants
We start with the public presence and guest-facing layer — a branded site, reservation and private-event intake, review visibility, and follow-up — then connect the ordering, payment, and POS tools you already run rather than ripping them out. Kitchen hardware, POS replacement, and food-safety compliance stay out of scope unless explicitly scoped.
Signals we look for
- Reservations, waitlist, and private-event inquiries spread across phone, DMs, and third-party apps
- Strong reviews the website does not carry, with the booking link buried or missing
- Online ordering, loyalty, and email each run from a separate rented tool
- Owner cannot see covers, repeat guests, or event leads without asking staff
AI in this sector
- Inquiry triage — OpenClaw routes and drafts replies to reservation and private-event requests from the CRM record
- Follow-up drafts — review-request and repeat-visit messages drafted from the guest record
Graph layer: Guest → visit → event → referral patterns surface which guests drive repeat covers and private-event bookings, and which channels bring the highest-value regulars — visibility a flat reservations list cannot give.
The first step
See where your stack is leaking time, money, and control.
The Business OS Diagnostic maps your customer handoffs, marks each tool to keep, replace, or integrate, and shows the owned operating layer that would replace the mess.
You get a concise teardown of where leads, time, and money are leaking — not a sales call disguised as a form.