Operating challenge
The delay, workload, risk, or customer expectation that made the workflow worth reviewing.
Case studies
Browse practical AI workflow case studies by industry.
See the operating challenge, the role AI played in the workflow, the safeguards around it, and the business impact for each team.
Healthcare
How a clinic got calls, intake, and recalls moving again
The clinic was missing calls during peak booking windows. We mapped reception and intake, then helped the team route requests, keep recalls moving, and reduce repeat manual chasing.
Read the case study DentalHow a dental practice recovered missed calls and treatment follow-up
Missed calls and treatment-plan follow-up were going cold. We connected response, recall, and approval workflows so patient conversations moved faster without losing clinical control.
Read the case study Medical AestheticsHow a medspa kept enquiries and consultations moving
Booking enquiries and consultation follow-up were slipping while staff served clients. We connected enquiry response, reminders, no-show follow-up, and approval rules that protected the client experience.
Read the case study HospitalityHow a restaurant kept admin moving before service
The manager was losing pre-service time to booking changes, review replies, roster admin, and menu updates. We mapped the repeat admin, built approval-led workflows, and kept public messages under manager control.
Read the case study HospitalityHow a hotel kept guest requests and service recovery moving
Guest requests, booking questions, housekeeping updates, and review follow-up were landing across the front desk, inboxes, and shift handovers. We built request routing, escalation rules, housekeeping tasks, and manager-approved service recovery paths.
Read the case study Legal ServicesHow a law firm sorted intake, matter context, and client updates faster
New matter enquiries, conflict details, client updates, and internal knowledge requests were moving through inboxes without a consistent path. We built intake routing, review checkpoints, and permissioned knowledge access.
Read the case study Real EstateHow a real estate agency followed up open-home leads faster
Buyer enquiries and open-home follow-up were competing for attention after inspections. We set up enquiry triage, lead routing, follow-up sequences, and approved listing support before interest cooled.
Read the case study AccountingHow an accounting firm moved deadline work earlier and reduced chasing
Client requests, deadline reminders, missing information, and advisory prep were spread across email, portals, and practice systems. We built reminder paths, missing-information routing, and deadline visibility so work moved earlier.
Read the case study Trades & Field ServicesHow a trades business turned quote requests into scheduled jobs
Quote requests and booking changes were landing while the team was on site. We built enquiry capture, quote triage, follow-up reminders, and approval points for pricing and availability.
Read the case study AutomotiveHow an auto repair shop kept bookings and approvals moving
The workshop was juggling calls, quote approvals, service reminders, and customer updates while advisors served the front desk. We separated safe automation from diagnosis and pricing, then kept customers informed from real job status.
Read the case study Fitness & WellnessHow a gym kept enquiries, onboarding, and renewals moving
Membership enquiries, trial bookings, missed visits, and renewal reminders were spread across reception, inboxes, and class systems. We built enquiry capture, onboarding follow-up, retention prompts, and approval-led member communication.
Read the case study Mining & ResourcesHow a mining team made reports and safety knowledge easier to act on
Field reports, safety procedures, maintenance issues, and procurement requests were scattered across site and office workflows. We built permissioned knowledge access, action routing, approval trails, and operational visibility.
Read the case studyWhat each case study covers
What each case study shows.
Each one follows the operating challenge, the role AI played, the safeguards around the workflow, and the impact the team saw.
AI's role
How AI helped capture requests, triage work, route tasks, trigger follow-up, handle repetitive steps, surface context, or support approvals.
Safeguards
The data boundaries, approval points, escalation rules, and human review that kept the workflow accountable.
Business impact
What changed once the work moved more reliably: response time, capacity, consistency, visibility, or cost control.
Map your case
Map a similar AI workflow for your team.
Tell us your industry, operating challenge, and the workflow you want to improve. We will outline the role AI could play, the safeguards needed, and a practical next step.