Work

Problems we went inside the business to solve.

We work across operations, data, automation, AI, and software because real business problems rarely stay inside one category.

01 Dental recruiting

We automated both sides of dental recruiting.

An automated inflow engine continuously captures candidates and newly posted jobs, keeping the recruiting system current so recruiters can focus on placing people.

~420 hrs

of manual work returned to the team

Candidates coming in 97% automatic

Hygienist · Portlandadded
Assistant · Seattleadded
Hygienist · Tacomaready

500+ added automatically

Jobs coming in ready in minutes

Hygienist · part timeadded
Dentist · full timeadded
Assistant · tempready

500+ added and kept current

runs day and night · fixes its own errors

Problem

Recruiters were spending significant time manually sourcing candidates, capturing inbound interest, finding newly posted jobs, and keeping both sides of the market current inside the CRM.

Solution

We built an automated inflow engine for both candidates and jobs. The system continuously captures supply and demand, processes it, and keeps the recruiting system current without being fed manually.

Impact

The system finds the supply and demand. Recruiters focus on matching, outreach, and placement.

  • 400+hours of manual work saved
  • 1,000+candidates and jobs added automatically
  • Minutesfrom new info to ready, instead of days
Under the hood

Scheduled workers run around the clock; parsing is language-model assisted while matching and dedup stay deterministic and auditable.

Writes verify by reading the record back; failures retry with backoff and self-heal, with alerting when a person is needed.

02 Dental practices

An operating agent that can answer, act, and help the practice improve.

The agent understands a practice's own financial and operating data, answers business questions in seconds, takes action, and turns opportunities into training.

Ask the practice anything

Where should we focus this week?

Hygiene rebooking slipped below target and Thursday has open capacity. Recover both and the week is back on plan.

Follow up with patientsNotify the team

answers from the practice's own data · example values

Problem

Practice owners have financial, operational, staffing, scheduling, and patient data everywhere, but getting from that information to a confident decision or action still takes significant time.

Solution

We built an operating agent that understands the practice's own data, answers business questions, takes actions such as follow-up and team alerts, and turns opportunities for improvement into practical guidance and training.

Impact

One place to understand the business, decide what matters, and act.

  • Answers in seconds, grounded in the practice's data
  • Actions in a few clicks: follow-up, team alerts, workflows
  • Insight becomes training and operating guidance
Under the hood

Practice data syncs into one model; answers ground in that data, and every recommendation traces to the numbers behind it.

Actions run through the tools the team already uses, including Slack notifications and outreach workflows; the training layer builds on an established consulting framework.

03 Healthcare operations

Complex billing data became clear operating decisions.

Across healthcare clients, pipelines and executive views reduce the work of understanding billing performance and surface what deserves attention next.

Billing activity, all day

Your next action

Follow up on 3 overdue payments

thousands of billing rows in · one clear action out

Problem

Healthcare billing creates enormous amounts of detailed information. Leaders often have to dig through claims, denials, aging, payments, and exceptions to understand what actually deserves attention.

Solution

We built pipelines and executive operating views that turn billing and operational data into a concise explanation of what changed, where to look, and what to do next.

Impact

The team spends less time interpreting billing data and more time acting on what matters.

  • Executive visibility without case-by-case digging
  • Quick wins and priorities surfaced automatically
  • A clear action queue instead of raw reports
Under the hood

Pipelines standardize claims, payment, and operational data into one model; views are built for decisions, with case-level drill-down preserved underneath.