Healthcare and life sciences process automation
Healthcare and life sciences process automation uses AI agents to run a regulated, repeatable manual process at volume: reading the inputs, doing the routine work, logging every step, and passing a clinician or expert the cases that need judgement. Softblues builds these systems in production, with a human in the loop and a full audit trail. This is process automation, not a medical device, so a qualified person stays accountable for the decision.
Regulated work, done by hand, at volume
The routine reading, checking and reconciling has to happen every day, to a defined standard, with a record of every step. Done manually it is slow and expensive, and the people who should be exercising judgement spend their time on repetition instead. Automating the routine, with a clinician or expert on the exceptions, is what gives that time back.
What can we automate?
Regulated, repeatable work at volume, with a clinician or expert kept in the loop.
Prescription and clinical-data processing
Multi-agent pipelines that read, check and reconcile prescriptions or clinical data to a defined standard, flagging the exceptions for a pharmacist or clinician.
- Read, checked and reconciled to your standard
- Exceptions flagged for a pharmacist or clinician
- Every step logged for the record
Document and records checking
Agents that read forms, files and records, check them against your rules, and return a structured result with every step logged.
- Forms, files and records read
- Checked against your rules
- Returned as a structured result
Research and evidence synthesis
Pipelines that turn a research question into a structured, sourced analysis, drafted for an expert to review rather than accept on trust.
- A question turned into a sourced analysis
- Drafted for an expert to review
- Citations on every claim
Regulated reporting
Assemble the evidence and draft the regulated report, with the audit trail attached, ready for a qualified person to sign off.
- Evidence assembled automatically
- Report drafted with the audit trail
- Ready for a qualified person to sign off
How we build a regulated automation
Three steps, mapped to a regulated process, with a clinician or expert in the loop throughout.
Process Discovery
A short, paid engagement that maps the regulated process and its compliance requirements with your clinical or ops team.
- We map the process and its standard
- We confirm where a clinician or expert signs off
- You get a fixed-price plan with the payback line
The build
Built to the standard your process already has to meet, with a qualified person reviewing the output.
- Built to your HIPAA, HL7 or GxP standard
- A clinician or expert reviews and signs off
- Data handling around ISO 27001 principles
Run it
It goes live with validation and monitoring; regulated work can need extra validation time, which we scope honestly.
- Evals and monitoring in place
- Validation time scoped honestly up front
- Money back if the proof of concept fails
Where this has worked
PoC to betaPharmacy operations
For a US pharmacy operation, an eight-agent prescription pipeline regulated to a HIPAA and HL7 standard, taking a manual 15 to 20 minute check down to seconds with a pharmacist on the exceptions.
In production (beta)Clinical research (Lumono.ai)
A nine-agent pipeline that turns a plain-English research question into publication-ready analysis, compressing 12 to 18 months of work into weeks, with an expert reviewing the output.
What does it cost?
Fixed price, quoted after a paid Process Discovery, with a payback line. As a rule of thumb, a £20,000 build that saves £4,000 a month pays back in about five months. Regulated processes can need extra validation time, which we scope honestly up front.
Estimate your savingHealthcare and life sciences automation: at a glance
- What
- AI agents that run a regulated, repeatable healthcare or life sciences process in production, with a human in the loop.
- For
- Operations, clinical and regulatory leaders in healthcare, pharmacy and life sciences with a high-volume manual workflow.
- Patterns
- Prescription and clinical-data processing, document and records checking, research and evidence synthesis, regulated reporting.
- How
- Paid Process Discovery, fixed-price build with a full audit trail, then evals, monitoring and an SLA.
- Delivery
- Production in 90 days, fixed price, money back if the proof of concept fails.
- Proof
- A US pharmacy operation (PoC validated, moving to beta) and Lumono.ai clinical research (in production, beta).
- Boundary
- Process automation with a clinician or expert in the loop, not a medical device. No medical-efficacy or regulatory-approval claims.
- Based in
- London-based, working with healthcare and life sciences firms.
Common questions about healthcare automation
How do you protect patient and health data?
Builds run with role-based access, audit logging and data handling built around ISO 27001 principles, on the platform you already trust. For health data we work to HIPAA-style handling: minimum necessary access, encryption, and a logged trail of who saw what. We are built around ISO 27001 principles, not ISO certified, and we scope the exact controls in discovery.
Do you keep a clinician or expert in the loop?
Yes, always. The agents do the routine, repeatable work and surface the exceptions. A pharmacist, clinician or qualified expert reviews and signs off wherever judgement or accountability sits with a person. The system supports the decision; it does not make the regulated call.
Is this a medical device or a diagnostic tool?
No. This is process automation for a regulated workflow, with a human in the loop. We do not claim medical efficacy, and we do not seek or imply regulatory approval that a device would need. The qualified person stays accountable for the clinical or regulatory decision.
Can you work to a defined standard like HIPAA, HL7 or GxP?
We build to the standard your process already has to meet. The pharmacy pipeline was built to a HIPAA and HL7 standard. For life sciences we can design around GxP, regulatory-affairs and ISO 13485 evidence requirements. We confirm the exact obligations in discovery rather than assume them.
Where do you start?
With a paid Process Discovery. We map the real process and its compliance requirements before scoping a build, so the plan is grounded in how the regulated work actually happens.
How long until it is live?
Production in 90 days is the standard. Discovery is short, typically one to two weeks; the build timeline is fixed in the discovery plan. Regulated processes can need extra validation time, which we scope honestly up front.
Scope your regulated automation
Start with a paid Process Discovery. We map the real process and its compliance requirements, then come back with a fixed-price build and a clinician or expert kept in the loop.