Work

What “fixed” actually looks like.

Each example follows the same shape: what was costing the business, what we did, and what changed. Where a result isn’t yet a named client engagement, we label it plainly — we’d rather show you the thinking than borrow someone else’s logo.

Your tools don’t talk to each other Illustrative scenario

Three systems that finally talk

~35-person multi-crew field-services company

Before

Quotes lived in the CRM, jobs in a scheduling app, and invoicing in QuickBooks — all re-keyed by hand. Roughly 15 staff-hours a week went to double entry, invoices trailed completed jobs by about nine days, and billing mistakes were routine.

What we did

We built an integration layer that syncs the CRM, scheduling, and accounting, and generates invoices automatically the moment a job is marked done. AI was used only to map and validate records during the migration. No rip-and-replace — their existing tools stayed.

After

Double entry disappeared, invoices go out same-day, and billing errors all but vanished — so cash arrives faster with less effort.

~15 hrs/wk Staff time reclaimed
9 → 1 day Invoice lag
−90% Billing errors

Scope: Built on their current stack; staff approve every automated invoice before it sends.

You need software that doesn’t exist yet Illustrative scenario

The tool they couldn’t buy

~60-person specialty manufacturer

Before

Their process was genuinely unusual, so no off-the-shelf system fit. They’d bolted together three SaaS tools and a maze of spreadsheets, and every attempt to integrate the half-built options broke within weeks — staff worked around the software instead of with it.

What we did

Instead of forcing another integration, we designed and built a custom application around how they actually work — one source of truth, their real workflow, owned by them. AI assists data entry and surfaces exceptions; people stay in control.

After

The spreadsheet maze is gone and the workarounds with it. Onboarding a new hire dropped from weeks to days, and the system finally matches the business instead of fighting it.

Eliminated Spreadsheet workarounds
Weeks → days New-hire onboarding
One, owned by them System of record

Scope: We build it to be maintainable and hand it over — you own the code, not a dependency on us.

Reporting is late, manual, or untrusted Illustrative scenario

The month-end that closes itself

~80-person professional-services firm

Before

Month-end close meant six business days of manual spreadsheet reconciliation by two staff, and leadership reporting was always days behind reality.

What we did

We automated the reconciliation pipeline and built an exception dashboard where AI flags anomalies and the controller reviews and approves them, plus a live leadership KPI view.

After

The close is now a day and a half, leadership sees numbers by the second business day, and skilled staff time went back to higher-value work.

6 → 1.5 days Close time
~$45k/yr Staff time redeployed
Days → day 2 Reporting lag

Scope: Decision support only — the controller signs off. We don’t replace the qualified finance lead.

Manual work is eating staff hours Illustrative scenario

When manual work was eating a third of the week

~25-person e-commerce / distribution business

Before

Order processing, inventory updates, and customer status emails were all manual — about 1.5 full-time-equivalents of repetitive work, error-prone, with slow customer responses.

What we did

We automated the workflow end to end — order intake to inventory sync to notifications — on no-code plus a few custom glue scripts. AI drafts customer replies for a human to approve.

After

Around 50 hours a week of busywork is now automated, order errors dropped sharply, response time went from hours to minutes, and the team was freed for growth.

~50 hrs/wk Work automated
Hours → minutes Response time
Down sharply Order errors

Scope: Humans approve customer-facing messages; automation handles the repetitive middle.

Document-heavy work is slow and error-prone Illustrative scenario

From 200-page plan sets to a review you can trust

Regional construction / AEC firm (~120 staff)

Before

Reviewing 200-plus-page plan and spec sets was manual and slow — two to three weeks — and missed conflicts surfaced late as costly RFIs and rework.

What we did

We built an AI-assisted plan-review tool that surfaces likely conflicts, missing items, and spec mismatches into a checklist workflow. A licensed professional makes every call.

After

First-pass review dropped from weeks to days, conflicts get caught before construction, and estimators spend their time where it matters.

Weeks → days First-pass review
Reduced Rework exposure

Scope: Decision support — licensed engineers and architects retain final approval. The tool assists; it does not certify.

Your site is slow, dated, or invisible Illustrative scenario

Showing up in the AI answer, not just page two

Local B2B services firm

Before

The firm was invisible in AI-answer and zero-click search, inbound was declining, and the site was slow and hard to convert on.

What we did

We fixed the technical foundation and structured data, did GEO/SEO and content intelligence, and improved conversion. AI was used to cluster intent and draft content for human editing.

After

The firm now shows up in AI-generated answers for target queries, with a measurable lift in qualified inbound and conversion.

Gained AI-answer visibility
Lifted Qualified inbound

Scope: Outcomes depend on market and competition; we report honestly on what moved.

Your turn

The first one of these could be yours.

The Software & Ops Audit ($2,500, 10 business days) is how every engagement starts — a fixed-scope look at where you’re losing time and money, and what to fix first.

Book a 20-minute call