Four reps handled 40,000 cases, forcing 3-day waits for routine swaps. AI now resolves them in seconds, cutting costs to $2 per case.
One of Germany’s largest digital healthcare platforms supports nearly 200,000 patients with in-home care supplies, relying on just four medically trained representatives to handle 40,000 annual support cases.
Manual workflows for routine tasks like product swaps forced patients to wait up to three days for simple answers. This administrative burden drove...
“We want to be available for every customer, right when they need us. But with a team of our size, we couldn’t scale fast enough.”
Digital platform for managing elder care services and benefits.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
deinePflege's Customer support is part of this use case:
Related implementations across industries and use cases
70k monthly queries overwhelmed manual triage. Strict AI guardrails now resolve admin tasks, routing medical needs to licensed clinicians.
Surging demand overwhelmed staff. AI agents now handle refills, cutting call volume 15% so teams can focus on complex diagnoses.
Reps took 24 hours to address 180,000 annual cases. AI now replies instantly, freeing the team to capture high-value leads.
70k monthly queries overwhelmed manual triage. Strict AI guardrails now resolve admin tasks, routing medical needs to licensed clinicians.
Surging demand overwhelmed staff. AI agents now handle refills, cutting call volume 15% so teams can focus on complex diagnoses.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Four reps handled 40,000 cases, forcing 3-day waits for routine swaps. AI now resolves them in seconds, cutting costs to $2 per case.
One of Germany’s largest digital healthcare platforms supports nearly 200,000 patients with in-home care supplies, relying on just four medically trained representatives to handle 40,000 annual support cases.
Manual workflows for routine tasks like product swaps forced patients to wait up to three days for simple answers. This administrative burden drove...
“We want to be available for every customer, right when they need us. But with a team of our size, we couldn’t scale fast enough.”
Digital platform for managing elder care services and benefits.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
deinePflege's Customer support is part of this use case:
Related implementations across industries and use cases
70k monthly queries overwhelmed manual triage. Strict AI guardrails now resolve admin tasks, routing medical needs to licensed clinicians.
Surging demand overwhelmed staff. AI agents now handle refills, cutting call volume 15% so teams can focus on complex diagnoses.
Reps took 24 hours to address 180,000 annual cases. AI now replies instantly, freeing the team to capture high-value leads.
70k monthly queries overwhelmed manual triage. Strict AI guardrails now resolve admin tasks, routing medical needs to licensed clinicians.
Surging demand overwhelmed staff. AI agents now handle refills, cutting call volume 15% so teams can focus on complex diagnoses.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.