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Industry · Healthcare & Life Sciences

Healthcare Automation That Stays Validated and Reliable

Healthcare and life sciences run on systems that must be both always available and provably compliant, patient data, lab and manufacturing batch, and regulated reporting. Symphony runs and recovers that operation on one governed engine, across SAP and the systems around it, with the evidence and control that validated environments demand.

★★★★★4.7 / 5 on Gartner Peer Insights
In short

Healthcare batch automation runs and recovers the operations that keep clinical and life sciences systems reliable and compliant.

It coordinates the batch behind patient data, lab and manufacturing systems, and regulated reporting across SAP and non-SAP systems on one governed engine, recovering failures in flow. Symphony keeps the operation reliable and validated, with every action evidenced for data integrity and compliance.

0+
Prebuilt Actions
Across SAP, lab, manufacturing, and clinical systems, extended by custom scripts for validated needs
0
Core Modifications
Standard interfaces only, with no changes to validated systems or the ERP around them
0×7
Reliable Operations
Batch, recovery, and controls run around the clock, so patient-critical systems stay available
What healthcare and life sciences face

It Has to Be Reliable, and Provably Compliant

Healthcare and life sciences carry two demands at once, systems that cannot go down and processes that must prove they followed the rules. The operation has to recover in flow and evidence every action for validation and data integrity.

01

Downtime affects care

Clinical, lab, and supply systems support patient outcomes, so a failed job cannot wait for a person to notice and fix it by hand.

02

Everything must be validated

Regulated systems demand change control, data integrity, and evidence, so automation that cannot prove itself creates compliance risk, not relief.

03

Data integrity is non-negotiable

Records must be complete, attributable, and unaltered, so every automated action has to carry identity and a tamper-evident trail.

04

Systems are many and specialised

SAP runs alongside LIMS, MES, and clinical systems, and the handoffs between them are where jobs quietly break and data drifts.

Lab to record

The Result Does Not Wait for a Rerun

When a result is due and a batch is releasing, a failed job is a delay that reaches patients. Symphony keeps the operation moving from the lab and clinical systems to ERP to the compliance record, recovering failures and evidencing every step.

Clinical and lab LIMS and clinical systems
Core systems SAP and integration
Compliance records and reporting
Failed job recovered in flow, integrity evidenced
One platform, every layer

The Full Platform, Applied to Healthcare and Life Sciences

Symphony runs the healthcare and life sciences operation as one governed platform, from the validated batch to the systems beneath it and the intelligence on top, so every layer is covered by one engine and evidenced for data integrity.

01

Job scheduling and recovery

Background Job Management runs clinical, lab, and release jobs and restarts a failed job from the point of failure, holding downstream steps until data is validated.

02

Full-stack orchestration

Full Stack Cloud Management keeps the validated estate patched inside the window, with change-control evidence captured on every action.

03

Monitoring and alerting

Harmony agents monitor validated systems and thresholds and raise alerts wired to remediation before a result or a release is delayed.

04

Operational analytics

Symphony Insights turns clinical, lab, and supply data into live operational KPIs, evidenced and ready for compliance review.

05

Change and test validation

Replay runs automated validation so a change to a GxP system is proven and documented before release, defensible under change control.

06

Governed AI resolution

Recurring interface failures self-heal through agentic isAI, and an exception is decided from Microsoft Teams with Maestro, every action evidenced.

Compliance and control

Governed for Validation and Data Integrity

Life sciences carries validation, data-integrity, and patient-safety obligations, so automation has to be as controlled as it is reliable. Symphony builds the controls into every step rather than bolting them on afterwards.

The engine executes, not the model

AI diagnoses and proposes, but the action runs through Symphony under defined policy, so a model never touches a validated system directly.

Runs under real identity

Every action carries a real identity mapped to each system's native authorisations, never a shared or elevated account.

Human approval where it matters

Actions outside policy route to an approver in Microsoft Teams with full context, so control never means a job waits for someone to notice.

Segregation of duties

Separation of duties is enforced on every step, so no single actor can both raise and approve, automated or manual alike.

Immutable audit trail

Every action is logged with identity, cause, and outcome as it happens, so validation and data-integrity evidence is captured during execution.

Change control friendly

Orchestration runs through governed nodes with retained evidence, so maintenance and change are defensible under a validated regime.

The shift

From Manual Compliance to Governed, Evidenced Operations

The difference is not a bigger scheduler, it is one governed engine that recovers in flow and evidences every action, so reliability and compliance stop pulling against each other.

Today

Many tools, manual evidence

  • Each system runs its own scheduler and interfaces
  • A failed job delays a result or a release, fixed by hand
  • Stuck HL7 and interface records are replayed manually
  • Validation evidence is assembled after the fact
  • SAP, LIMS, and clinical systems run in separate tools
  • Maintenance risks breaking a validated state
With Symphony

One engine, evidence in flow

  • One governed engine runs the operation across systems
  • Failed jobs recover from the point of failure, on their own
  • Interface records heal automatically, with duplicate protection
  • Data integrity is evidenced with identity as it runs
  • SAP, LIMS, and clinical systems run on one engine
  • Maintenance is validated inside the window, with evidence
One validated operation

Every System, One Governed Operation

Clinical, lab, manufacturing, and ERP systems all draw on the same batch, controls, and data integrity. Symphony orchestrates them as one governed, validated operation rather than a set of disconnected interfaces.

Clinical and lab
Manufacturing
ERP and quality
Symphony one governed engine
One operation reliable, validated, evidenced
One governed engine

The Operation Runs on a Governed AI Engine

The engine that runs the healthcare and life sciences operation applies intelligence in three governed modes, so automation gets exactly as much autonomy as the risk allows, and no more.

01 · Rules

Rule-based orchestration

Deterministic execution for the well-understood, validated batch, running straight through under fixed policy without reasoning.

02 · Conversational

Maestro co-pilot

Human and AI in dialogue for an ambiguous exception, proposing the next action in Microsoft Teams and executing on approval.

03 · Ambient

isAI autonomy

Continuous AI that watches the operation, resolves known failure patterns on its own, and escalates only what it has not seen before.

Any ERP, any system

Run One Operation Across Every Clinical and Lab System

A healthcare and life sciences estate spans ERP, LIMS, MES, and clinical systems, so Symphony connects them all through prebuilt nodes and custom scripts, with no changes to validated systems.

ERP and quality
SAPOracleMicrosoft DynamicsMESQuality systems
Clinical and lab
LIMSHL7 and FHIRClinical systemsEHR interfaces
Supply and cold chain
Warehouse systems3PL and carriersSerializationTrack and trace
Data and integration
REST and SOAP APIsKafkaDatabasesIDOC and interfaces
Productivity
Microsoft TeamsOutlookExcelServiceNow

400+ prebuilt nodes plus custom scripts, with data integrity evidenced on every action. See how it works for failed job recovery across the estate.

Built for regulated enterprises

Automation That Earns a Place in a Validated Estate

Self-hosted
Deploys on VM, Kubernetes, or Docker Swarm inside the enterprise perimeter
Deployment
Audit-ready
Every action logged with identity, cause, and outcome, aligned to SOC 2
Governance
BYOM
OpenAI, Azure, Bedrock, Gemini, or a private model, with no lock-in
Any model
4.7 / 5
Rated by enterprise reviewers on Gartner Peer Insights
Verified
15 years
Business Core Solutions, with global follow-the-sun support
Track record

Frequently Asked Questions

Refer to this section for answers to frequently asked questions related to healthcare and life sciences automation.

What is healthcare batch automation?

Healthcare batch automation runs and recovers the operations that keep clinical and life sciences systems reliable and compliant, the batch behind patient data, lab and manufacturing systems, and regulated reporting, on one governed engine. Symphony coordinates jobs across SAP and non-SAP systems, recovers failures in flow, and evidences every action for data integrity.

How does Symphony support validated and GxP environments?

Automation runs through governed nodes with change-control evidence, ordered execution, and post-validation captured on every run. Identity, cause, and outcome are logged as each action happens, so maintenance and processing are defensible under a validated regime rather than supported by a manual paper trail assembled afterwards.

How is data integrity protected?

Every action carries a real identity and a tamper-evident audit trail, so records stay complete, attributable, and unaltered. Dependent jobs are held until data is validated, and stuck interface records are reprocessed with duplicate protection, so the operation never runs downstream steps on incomplete or unverified data.

Can it run across LIMS, MES, and clinical systems, not just SAP?

Yes. SAP runs alongside LIMS, MES, HL7 interfaces, and clinical systems, and the handoffs between them are where jobs break and data drifts. Symphony orchestrates across all of them on one engine through 400+ prebuilt actions and APIs, with no changes to the validated systems themselves.

How does it maintain reliability for patient-critical systems?

Symphony diagnoses a failed job, restarts it from the point of failure, and protects everything downstream, so a break does not delay a result or a batch release. Known failure patterns self-heal without a person, and maintenance runs inside the window with validation, so availability holds without loosening control.

See Symphony Run a Healthcare and Life Sciences Operation

The conversation is exploratory and shaped by the operation walked through during the session, from where reliability and compliance are at risk today to how it runs, recovers, and evidences itself on one governed engine.

Request a Demo
Built for validated, regulated environments · 30-minute discovery session*