Bodhee
Bodhee Quality Control Scheduling

From Backlog
to Breakthrough.

Bodhee Quality Control Scheduling rebuilds the lab plan from first principles every cycle — with analyst competency, instrument capability, method hold times, and upstream production events treated as a single model. So release dates hold.

Analyst-, instrument-, and method-aware. Rebuilds the lab queue before release dates slip.
Industry context

The lab is the bottleneck nobody is budgeting for.

40–60%
Of total batch release time spent in QC testing and review
Industry directional
20–30%
Of analyst time lost to rework, rescheduling, and queue re-sequencing
Typical QC lab observation
Days
Typical delay when an OOS investigation disrupts a pre-built queue
Release timeline impact
≤24 h
Method hold-time windows that get missed because the queue was fixed Monday
Stability & IPC risk

Figures are directional industry benchmarks — not Neewee customer outcomes.

The problem

QC scheduling is broken in four specific ways.

Labs run on spreadsheets, whiteboards, and tribal knowledge. The schedule is built weekly, patched daily, and invalidated hourly.

01

Spreadsheet-native, event-blind

The weekly queue is built in Excel on Monday. Nobody rebuilds it when Production moves on Tuesday.

02

Analyst & instrument capability not modelled

Skill matrices sit in HR. Instrument calibration sits in LIMS. Neither touches the schedule.

03

Method hold times treated as soft targets

IPC and stability pulls have tight windows. A static queue cannot honour them when priorities shift.

04

Disconnected from upstream production

When a batch finishes 4 hours early or late, the QC queue has no way to know until an analyst chases it manually and rebuilds the plan.

Meet Bodhee Quality Control Scheduling

Rebuild the lab plan from scratch — every cycle.

Constraint-aware.

Analyst competency, instrument capability, method hold times, and batch priority — modelled as hard constraints the engine must satisfy.

Natively integrated.

Events from Bodhee Production Scheduling trigger QC rescheduling within minutes. The batch didn't move — the plan moved with it.

Rebuilt, not patched.

Every cycle — shift, day, week — the engine rebuilds the optimal plan. Not a drag-and-drop repair of yesterday's queue.

The five pillars

What Bodhee QC Scheduling does.

Pillar 01

Lab Events & LIMS Integration

Every sample, OOS, and retest — visible live.
  • LIMS, CDS, MES connectivity
  • Sample registration in real time
  • OOS, retest, deviation events unified
Pillar 02

Analyst & Instrument Master Data

Your lab, modelled as it actually runs.
  • Skill matrices per analyst
  • Instrument capability and calibration state
  • Supervisor-editable without IT
Pillar 03

Native Sample Types

Stability, OOS, IPC, batch release — first-class.
  • Method hold-time windows honoured
  • Priority rules per sample type
  • Regulatory due-dates respected
Pillar 04

Rebuild from Scratch

Optimal plan every cycle.
  • Constraint programming engine
  • Multi-objective optimisation
  • Explainable recommendations
Pillar 05 · Lead differentiator

Production Event Integration

The lab re-plans when the plant moves.
  • Bodhee Production events consumed live
  • Batch release forecast auto-updates
  • IPC pull-times re-synced automatically
Measurable outcomes

What Bodhee QC Scheduling delivers.

Ranges observed across regulated QC deployments. Outcomes vary by lab scale and integration scope.

0–35%

Batch release cycle time

faster release decisions across active lab queues

0–25%

Analyst utilisation

with analyst and instrument constraints honoured together

Hours → Minutes

Reschedule cycle time

after OOS events, rush samples, and queue changes

0%

Method hold-time adherence

for tighter control of time-sensitive samples

−30–50%queue re-sequencing effort

Based on Neewee deployment observations in regulated QC environments.

How it works

Inputs → Engine → Outputs.

Bodhee connects into your existing stack, runs the optimisation, and publishes schedules and events back out.

Inputs · 7

Source systems feeding the engine.

  • LIMS
  • Chromatography Data System CDS
  • MES / Batch events
  • Analyst HRMS / LMS
  • Instrument calibration
  • QMS deviations, OOS
  • Bodhee Production events
Engine · 5

Five internal capabilities.

  • Sample-method-analyst matching
  • Hold-time constraint modelling
  • Priority & due-date optimisation
  • Event-driven rescheduling
  • Batch release forecasting
Outputs · 5

What Bodhee publishes back.

  • Daily analyst schedules
  • Instrument utilisation plan
  • Batch release forecast
  • IPC pull-time schedule
  • Events → Bodhee Production
Who it's for

Four roles in the QC lab — each with a specific reason.

Primary user

QC Analyst / Supervisor

“I want my day to start with a queue that reflects what's actually waiting — not what we thought was coming when the week started.”

A live queue, re-ranked against today's reality. Hold-time risks surfaced before they become OOS.

Economic buyer

Head of Quality

“I need a batch release forecast I can commit to — and a lab that absorbs disruption without extending cycle time.”

A release forecast that moves in minutes, not days. Cycle time compresses 20–35%.

Operational

QA & Regulatory

“Every deviation from the plan must be explainable and auditable. I don't want AI magic — I want traceable decisions.”

Every scheduling decision traced to its trigger event. Audit trail native, not retrofitted.

Technical buyer

Digital / IT Leaders

“How does this integrate with our LIMS, CDS, and MES — without creating a validation nightmare?”

API-first integration with validated connectors for major LIMS and CDS platforms. GxP-ready.

Customer journey

Three phases to a live lab plan.

1

Assess

Lab maturity assessment. LIMS/CDS landscape review. Sample-type inventory and constraint catalogue.

2

Configure

Analyst skill matrix, instrument capability, method hold-times, integrations with LIMS / CDS / MES / Bodhee Production.

3

Go Live

Parallel run against the existing queue. Calibrate. Cut over by lab area. Ongoing tuning with the QC team.

How Bodhee QC Scheduling is different

Three reasons this isn't a LIMS module.

01

Native integration with upstream production.

The only QC scheduler designed from day one to consume production events as first-class inputs — not a downstream reporting bolt-on.

02

Rebuilt from scratch every cycle.

Constraint programming finds the optimal queue — instead of drag-and-drop repair of yesterday's whiteboard.

03

GxP-ready, LIMS-agnostic.

Deployed against Veeva, LabWare, Thermo SampleManager, Labvantage — without forcing a rip-and-replace.

Release faster. Without shortening the science.

A 30-minute tour of Bodhee QC Scheduling — the engine, the upstream integration, and how it fits your lab.