Administration crowds out care
Scheduling, referrals and follow-up consume clinical and support time. Skilled people spend their day on tasks that do not need their training.
HEALTHCARE & LIFE SCIENCES
Healthcare and life sciences leaders see what AI agents could take off their teams, and they know the cost of getting privacy wrong. We help you choose where Agentforce is appropriate, set the guardrails and govern the programme, designed with compliance, privacy and clinical leaders from the first workshop.
The pressure
Demand is rising faster than capacity, and sensitive data raises the stakes of every decision.
Sensitive data, unclear boundaries
Teams are unsure which data an AI agent may use, and with what consent. Uncertainty stops progress before it starts.
Disconnected systems and journeys
Patient, provider and customer information sits across clinical, commercial and support systems. Journeys break at every handover.
Field teams short of insight
Commercial and medical teams prepare for engagements by hand. Useful context arrives late or not at all.
Our advisory approach
Four stages, with privacy and clinical oversight present in each.
01
Discover
We map patient, provider and customer journeys, the data behind them and the consent that governs its use.
Outputs
- AI and agent readiness assessment
- Data and consent map
- Opportunity longlist
02
Define
We prioritise administrative and engagement use cases, and set aside those that would touch clinical judgement.
Outputs
- Prioritised use case portfolio
- Business case
- Boundaries for agent use
03
Design
We shape the operating model, oversight and roadmap for Agentforce, designed with compliance and data privacy teams from the first workshop.
Outputs
- Target operating model
- Agent governance framework
- Phased roadmap
04
Direct
We guide, govern and assure the work your teams and chosen partners carry out, and report on value and safeguards together.
Outputs
- Independent programme assurance
- Value realisation tracking
- Executive reporting
Where agents fit
Administrative and engagement work only. Clinical decisions stay with clinicians.
Patient access and scheduling
An agent helps patients book, move and prepare for appointments. Anything that sounds like a symptom or a clinical question goes to a member of staff.
Patient support programme assistant
An agent answers programme and logistics questions from approved content. Nurses and support staff handle every clinical or medication query.
Field team engagement preparation
An agent prepares a summary of past interactions and open requests before each engagement. The representative decides the message, within approved materials.
Referral and intake coordination
An agent gathers missing information and keeps referrals moving between teams. Staff review each case and make the acceptance decision.
Service case summarisation
An agent summarises enquiry histories for support teams and drafts a reply. A person checks and sends every response.
Approved content assistant
An agent helps staff find current, approved materials and procedures, with sources shown. Content owners control what it can draw on.
Outcomes
Agreed with operational, clinical and privacy leaders before work starts.
Targets are set with each client against their own baseline.
Administrative time
The time clinical and support staff spend on scheduling, chasing and data entry.
Access to appointments
How easily and quickly a patient can book or change an appointment.
Missed appointments
How often booked appointments go unattended.
Field team preparation time
The effort needed to prepare for each provider or customer engagement.
Safe handover rate
How reliably an agent passes clinical or sensitive queries to the right person.
Value against business case
Realised benefit compared with the approved case, reviewed at each stage.
Engagement pattern
IllustrativeA hospital group easing pressure on patient access
Situation
A multi-site provider has long call queues for appointments and a support team that spends much of its day on rebooking. Patient information sits in several systems that do not agree with each other. Leaders see a role for an agent in scheduling, and privacy and clinical leads have reasonable concerns about where it would stop. The organisation needs a plan all three groups can support.
How we would approach it
- 01We would map access journeys, data sources and consent with operational and privacy leads.
- 02We would define which requests an agent may handle and which must reach staff.
- 03We would set out the business case, oversight model and roadmap for executive approval.
- 04We would then assure the work carried out by the provider and its chosen partners.
What we would measure
- Time to book an appointment
- Missed appointments
- Administrative time
- Safe handover rate
An illustrative scenario describing a typical situation. It is not a client case study and reports no results.