Use Cases

Life Sciences & Pharma

Validated systems demand verifiable authority.

Abstract Dipp AI illustration for Life Sciences & Pharma: agentic execution governed by named human authority

In a validated environment, an unverifiable step invalidates the process around it. That is not a stylistic preference; it is the operating logic of data integrity. If a record cannot be attributed to a person, tied to a moment, and shown to be unaltered, then the process that produced it is not in a validated state, and the conclusions drawn from it are unsupported.

Agentic systems entered life sciences through exactly the workflows where this matters most: submission assembly, safety case processing, batch review, and medical information response. They are attractive because those workflows are enormous, repetitive, and deadline-bound. They are hazardous because they are the workflows an inspector selects first.

Orcher supplies the attribution and evidence that computerized-system controls already assume. Every action carries the qualified person, investigator, or reviewer whose authority permitted it. Every write is reconciled against source data before commit. Every commit is hashed, so contemporaneity and integrity are properties of the record rather than claims about it.

Where liability lands

Data-integrity expectations treat attribution as a first-order control rather than documentation, and computerized-system validation requires a known, controlled configuration. Safety reporting timelines, promotional review obligations, and good-practice regimes across clinical, laboratory, and manufacturing operations all name qualified individuals. Orcher binds those individuals to each action and produces contemporaneous, tamper-evident records of what was verified.

Pressure points

What breaks in life sciences & pharma without a control plane

01

Attribution is a first-order control

ALCOA+ expectations treat attributable, contemporaneous, and original as non-negotiable. A model-generated record with no attributable author fails the standard before anyone evaluates whether it was accurate.

02

Validation cannot cover a moving target

A workflow that dynamically selects among model providers has no fixed configuration to validate. Without a control plane recording which provider processed what, the validated state cannot be asserted.

03

Safety timelines are legally fixed

Expedited safety reporting clocks do not pause for verification debt. Automation that accelerates drafting while leaving reconciliation manual moves the bottleneck rather than removing it.

Named use cases

6 directives, verified end to end

Real life sciences & pharma workflows, each bound to the authority that permits it and reconciled against the systems of record before anything commits.

01

Regulatory submission assembly

Every assembled element traces to a verified execution record with an accountable author, so a submission's provenance is inspectable module by module rather than reconstructed under deadline.

02

Pharmacovigilance case processing

Case intake, coding, and narrative generation execute under qualified-person authority with reconciliation against source data before the case is locked, and expedited-reporting clocks tracked as directive constraints.

03

Manufacturing batch record review

Review steps produce hashed evidence aligned to data-integrity expectations, with deviations dispositioned under named quality authority rather than closed by a model's confidence.

04

Clinical trial operations and monitoring

Query generation, protocol-deviation identification, and site communications run under the investigator or monitor role, with criteria verified against the protocol version in force.

05

Medical information and promotional review

Responses to healthcare-professional inquiries verify against the approved label and reference set before release, with the reviewer's authority bound to each response.

06

Quality management and CAPA

Investigations and corrective actions carry an evidence chain that an inspector can follow, including what was checked, by whom, and under whose authority the disposition was made.

01 · In depth

Data integrity is an architecture problem

Organizations often treat data integrity as a documentation discipline: write the SOP, train the staff, audit the records. Agentic execution breaks that model because the actor is not a person who can be trained and the record is a vendor log the organization does not control.

Orcher restores integrity architecturally. The attributable author is the human whose directive authorized the work. The contemporaneous record is written at commit. The original is hashed, so alteration is detectable rather than a matter of trust. Nothing depends on a person remembering to document what happened.

02 · In depth

Inspection readiness as a steady state

Inspection preparation typically consumes months because evidence lives in fragments across systems that were never designed to answer 'show me what happened'. Every fragment must be located, correlated, and explained.

When the evidence is produced at execution, readiness stops being a project. A request for the provenance of a specific record resolves to a retrieval: the authority, the verification, the source data consulted, the provider that processed it, and the moment it committed.

Components engaged

How Orcher governs life sciences & pharma

These are the components that carry the weight in this industry. Each one is a control, not a recommendation.

A domain workflow chain with verification checkpoints between each station
Verified execution across the life sciences & pharma workflow chain.

Mechanism

One life sciences & pharma directive, end to end

Four stages, in order. Layer 1 components gate execution; Layer 2 components run continuously and never block.

  1. 01

    The directive is stated and frozen

    A qualified person or study lead who signs for the action states the outcome in plain language — for example, "Prepare this safety report for submission on the current data cut." It is signed and versioned before any model is called.

  2. 02

    Authority is minted for this directive only

    The Role Identity Fabric resolves the person and their current life sciences & pharma role, then mints task-bound, time-bound credentials — median scope around 14% of the underlying account.

  3. 03

    The proposed action is verified, not reviewed

    Before a submission artifact, safety report, or gxp record change commits, the Logic Scrubber re-derives the facts it depends on from Clinical trial master file, regulatory submission records, GxP validated systems, pharmacovigilance database. The proposed report is built on a data cut that no longer matches the locked source — that is a halt, not a warning.

  4. 04

    The cycle is hashed into the record

    The action, the human, the role, the verification and the cost are hashed together. A health authority inspection, a GxP audit, or a data integrity review receives an evidence package, not a reconstruction project.

Operational contract

Authority holder
The qualified person or study lead who signs for the action
Systems of record
Clinical trial master file, regulatory submission records, GxP validated systems, pharmacovigilance database
Governed action
A submission artifact, safety report, or GxP record change
Halt condition
The proposed report is built on a data cut that no longer matches the locked source
Data classes controlled
Subject-level clinical data, adverse event detail, and unpublished research
Evidence consumer
A health authority inspection, a GxP audit, or a data integrity review

What this is not

This is not a validated system replacement

Orcher supplies the authorization and verification evidence GxP asks for around agentic work; your validated systems remain the systems of record.

Failure behaviour

The proposed report is built on a data cut that no longer matches the locked source. The directive halts, nothing partial is written, and the halt is recorded with its reason.

Rollout outcomes

ALCOA-aligned records

Attributable, legible, contemporaneous, original, accurate — by construction.

Inspection readiness

Evidence packages scoped to a study, a period, or a submission.

Subject data governed

Clinical payloads route only to destinations the classification allows.

What the record proves

Evidence a life sciences & pharma reviewer can actually use

Orcher writes the proof at execution time. Nothing here depends on reconstructing intent from logs after the fact.

Part 11

Attributable, legible, contemporaneous records by construction

Protocol-checked

Actions reconciled against the protocol version in force

Inspection-ready

Evidence assembled at execution, not before an inspection

Deployment path

How a life sciences & pharma rollout actually starts

One workflow, one role, one verified execution cycle. Scope widens only after the first cycle holds up under review.

01

Scope one directive

Choose one GxP-adjacent workflow: safety case intake, protocol deviation handling, or regulatory document assembly.

02

Bind the role

Qualified-person, investigator and reviewer roles come from the identity fabric with their real scope attached.

03

Verify before commit

Protocol version, SOP state and source data are verified before any record is written or submitted.

04

Prove the cycle

The ledger provides ALCOA+ characteristics as a property of execution rather than a documentation exercise.

Questions

Life Sciences & Pharma teams ask us this first

Direct answers, in the language of the people who carry the consequence.

Is this compatible with 21 CFR Part 11?

The verified execution cycle is attributable, legible, contemporaneous, original and accurate by construction. Signatures bind a qualified human to the record at the moment it is written.

Can agents touch clinical data?

Under an investigator or delegated role, with protocol criteria verified before anything surfaces or commits. Residency and training exclusion are checked per call.

What about pharmacovigilance intake volumes?

Case triage runs under a named safety role, with seriousness and expectedness reconciled against the reference safety information before a case is classified.

How does this survive an inspection?

Inspectors ask who did what, when, and on what basis. That is precisely the six-fact record Orcher writes at execution time.

Do we need to validate the models?

You validate the controls around them. Because verification is against systems of record and authority is bound structurally, the control evidence does not depend on model behaviour.

Request a briefing

Bring one life sciences & pharma workflow. We will map it.

A working session, not a pitch: your workflow, the role that holds authority for it today, and the seven components that would govern it. Sixty minutes.

We use this only to arrange the briefing. No list, no sequence.

Go deeper

Where to read next on life sciences & pharma

The solutions that carry this industry, the research behind the model, and the neighbouring industries with the same accountability problem.

Keep reading

Components, solutions, and neighbouring industries

Surfaced automatically from the Orcher components this industry relies on.

Orcher for life sciences & pharma.

Every deployment starts with one workflow, one role, and one verified execution cycle. Bring the workflow; we will map it to the seven components before you commit to anything.