Proof should show the work before the win.

A small design business ran client projects in Trello, but deadlines, payments, fulfillment and long-term follow-ups were easy to miss across different service types.

Three redesigned Trello boards now track every stage and send reminders, so overdue work, unpaid invoices and stalled projects get flagged automatically.

A legal practice handled cases, documents, deadlines, invoices and reports across separate records. Important dates and status changes depended on people remembering them.

A custom Zoho CRM now holds every case, and workflows send reminders and notifications when dates, documents, reviews or invoices need action.

Orders arrived correctly in BigCommerce, but someone still had to move each one into ShipStation. That caused delays and extra admin.

n8n workflows now send each new order to ShipStation as soon as it is placed, and write shipped or cancelled status back to the store.

The supplier's data feed was missing key product details, so the rest sat in a huge CSV file. Entering 35,000 products by hand, translating every description, and keeping categories tidy was not realistic.

A pipeline now processes the CSV, fills the gaps, translates and improves descriptions into Danish, and publishes each product to the store with its category, images, and price.

The team kept school, teacher, and student data in Airtable. Once the staff passed 25 people, the per-seat bill became a major cost, and there was still no single simple place to do the work.

A custom portal built on Softr now sits on top of the same Airtable data. The team uses it for schools, meetings, and messages, and the client reports software costs down by nearly 70%.

Finding good leads meant combing through thousands of public violation records by hand, checking property details one at a time, and making sure no owner was contacted twice.

Every Monday, a workflow pulls the newest violation data, keeps only the properties that match the client's rules, removes anyone already contacted, and launches the outreach campaign on its own.

Every listing was built by hand from source data, with grading status decided manually and titles drifting out of format.

A pipeline that extracts, classifies graded versus ungraded, normalizes titles and descriptions, and creates publish-ready Shopify products automatically.

Case status, communication, scheduling, and documents lived in four different places, and nobody could say where an appraisal stood without asking someone.

An eleven-stage case board with 40+ fields, stage-triggered emails that can be edited or suppressed, and scheduling that books straight from the case.

Scripts, storyboards, and feedback were coordinated across email and scattered channels, with no single view of what stage a project was at.

A pipeline that generates script, storyboard, and final video in sequence, gated by client approvals in Frame.io, with the Drive library mirrored across automatically.

Products, stock, pricing, and orders had to be maintained in both Shopify and the warehouse system, and the two drifted apart constantly.

Custom Node.js middleware running 24/7 that syncs products, inventory, pricing, and orders both ways, with queueing and retries so nothing is lost.

Onboarding and paying notaries meant chasing payments, bank checks, signatures, and ACH transfers across seven disconnected tools, then re-typing it all into accounting.

One Airtable record per notary that every platform reports back into, turning onboarding and payouts into a sequence the admin approves rather than performs.

Every new shipment at a different price overwrote the cost of all existing stock, quietly corrupting margins across 14,000 SKUs.

A costing layer that blends new and existing stock on every receipt, writes the corrected figure back, and logs an auditable ledger row.

The client relied on slow, manual data entry and outdated, restrictive scanners to process sensitive accounting and compliance documents. This bottleneck slowed daily operations and made it incredibly hard to scale.

We built a custom AI system that acts like a digital data-entry clerk. It instantly reads uploaded bank statements, pulls the exact transaction data needed, and securely organizes it into their database, without a single human touch.

The store owner was losing sales to high cart abandonment. Supplier catalogs were messy and in raw foreign languages, so the team spent countless hours manually rewriting titles, fixing pricing errors, and translating descriptions just to look trustworthy to buyers.

We built a one-click AI system. It fetches the raw supplier data, then instantly cleans the text, translates it perfectly into the local language, formats descriptions beautifully, and pushes everything live to the store automatically.

Every lead meant looking up the homeowner by hand, texting contractors one at a time, sending a payment link, then emailing the details over. Leads occasionally got sold twice, which meant a refund and an angry contractor.

New leads are found, enriched with contact details, and pitched to contractors automatically. A locked "preview" proves the lead is worth buying without giving it away. The second someone pays, it's marked sold and delivered, so it can never go out twice.

Every customer and invoice was built once in the operations app, then rebuilt by hand in the accounting system. Quotes sent to customers hit a login wall, so plenty never got read at all.

Customers and invoices now sync both ways automatically, with a safeguard that stops the two systems endlessly "correcting" each other. Quotes go out as branded PDFs straight to the inbox, no login required, with a one-click Accept button that updates both systems at once.

Years of conversations with schools and educators sat in one person's email and calendar. Logging them by hand meant wading through internal chatter, newsletters, and bot invites just to find the real ones.

Emails and meetings now log themselves automatically, with the noise filtered out before it ever reaches the database. Even conversations with people missing from the contact list still get matched to the right organization, so nothing important is lost to a forgotten record.

Booking one client meant a run of emails to find a time, a meeting link built by hand, manual reminders, and clients regularly showing up before finishing their intake forms.

Clients now book themselves. A quiet minimum-notice rule creates the exact window they need to finish intake forms before the session, meeting links and reminders go out automatically, and the CRM updates itself the moment a booking is made, all inside tools the business already owned.

Every inspection produced a form response with 38+ photos and written notes. Someone then spent an afternoon building it into a polished, multi-page document by hand, matching a premium layout the client insisted on.

The finished report now builds itself the moment the form is submitted. Photos arrange into a clean grid, notes and images are handled as separate streams so nothing overlaps, and the document grows to however many pages the job needs.

Empty warehouse locations had to be removed one at a time. Separately, every shipping slip generated left a leftover file behind in cloud storage, thousands of them, and the browser froze every time anyone tried to bulk-delete them.

A single report now clears every empty location in one upload. The shipping slip workflow deletes its own leftover files the moment they're no longer needed, and the existing backlog was cleared automatically in batches, with no browser involved.