LensReading which lens this session carries.

Function cockpit

Research & Development

Agents run research operations. Scientists own hypotheses and conclusions.

Autonomy0% / 74%

Phase: Phase 2 — Supervised execution

Connect scientific programs to resources, evidence and decision gates: retrieval, scheduling, data integrity, simulation and reproducibility are agent work; hypothesis selection, safety and scientific conclusions remain human.

Trust score

0

Touchless

0%

Human review

0%

Override rate

0%

Capacity released

20-35% research-operating capacity (no presumption that success rates improve)

Accountable human

Chief Scientific Officer

CoS agent: R&D Chief of Staff

Strategy, policy, observe, workflow, and AI GBS side by side

Five layers

What Research & Development actually runs

A function is not one thing.

Strategy

18 agents

Agents that take positions, argue them, and get held to the outcome.

15 positions on the record

4 ratified, 3 in challenge

Policy

5 agents

The written rules every other agent is bound by, with version and owner.

34 binding rules

29 active, 5 superseded or retired

Observe

19 agents

Continuous sensing of the outside world and of the agents themselves.

19 watchers running

They watch the outside world and the agents themselves

Workflow

35 agents

Doing the work: lines, stations, and live units moving through them.

33 lines, 178 live units

11 held for a person right now

AI GBS

9 agents

Repeatable transaction processing run once for the whole enterprise.

2 shared towers

54 stations on this function run inside AI GBS

Strategy layer — positions on the record

Every position names its author, the agent paid to argue against it, and the conditions that would break it.

Research Direction Position

Superseded

Hold the ceiling at A3 for discovery research.

author Hypothesis Generation Agentchallenged by Discovery Research Challenger Agentratifier Director, Discovery Researchconfidence 79%

Discovery Research Operating Position

Rejected

Keep the repeatable research thread volume in the spine and pull the exception tail back into the function.

author Research Direction Agentchallenged by Discovery Research Challenger Agentratifier Director, Discovery Researchconfidence 66%

Portfolio Bets Position

Draft

Hold the ceiling at A2 for innovation portfolio.

author Portfolio Bets Agentchallenged by Innovation Portfolio Challenger Agentratifier VP Innovationconfidence 83%

Innovation Portfolio Operating Position

Superseded

Keep the repeatable program volume in the spine and pull the exception tail back into the function.

author Portfolio Bets Agentchallenged by Innovation Portfolio Challenger Agentratifier VP Innovationconfidence 66%

Experiment Design Operating Position

Ratified

Hold the ceiling at A3 for experiment design.

author Experiment Design Orchestratorchallenged by Experiment Design Challenger Agentratifier Director, Research Methodsconfidence 64%outcome held

Lab Operations Operating Position

In challenge

Hold the ceiling at A4 for lab operations.

author Lab Operations Orchestratorchallenged by Lab Operations Challenger Agentratifier Director, Laboratory Operationsconfidence 66%
15 positions across 11 sub-functions. Open a sub-function to see dissent, alternatives considered, and break conditions.

Policy layer — what binds the agents

Versioned rules with an owning agent, a human approver, and the agents they constrain.

Discovery Research Decision Envelope

vv2.7

Agents in this lane may act without a human when the research thread sits inside the stated value, risk and confidence envelope.

owner Discovery Orchestratorapproved by Director, Discovery ResearchGlobal · EUbinds 3 agents

Discovery Research Evidence Standard

vv2.3

Every autonomous decision writes inputs, the rule version applied, the model and prompt version, the output and a reversal path.

owner Discovery Orchestratorapproved by Director, Discovery ResearchLATAM · USbinds 3 agents

Discovery Research Escalation Rule

vv1.4

Escalation is mandatory when confidence falls below the floor, when two options sit inside the confidence band, or when a break condition on a ratified position fires.

owner Discovery Orchestratorapproved by Director, Discovery ResearchUS · Canadabinds 3 agents

Innovation Portfolio Decision Envelope

vv5.1

Agents in this lane may act without a human when the program sits inside the stated value, risk and confidence envelope.

owner Innovation Portfolio Orchestratorapproved by VP InnovationEU · UKbinds 4 agents

Innovation Portfolio Evidence Standard

vv2.2

Every autonomous decision writes inputs, the rule version applied, the model and prompt version, the output and a reversal path.

owner Innovation Portfolio Orchestratorapproved by VP InnovationUS · Canadabinds 4 agents

Experiment Design Decision Envelope

vv1.6

Agents in this lane may act without a human when the protocol sits inside the stated value, risk and confidence envelope.

owner Protocol Compliance Agentapproved by Director, Research MethodsEU · UKbinds 3 agents
34 rules in the register. An agent cannot act outside the version in force.

Workflow layer — the lines doing the work

Each line is a workflow.

120 in time47 late11 late and material
LineSub-functionKindUnits / wkTouchlessTimetableActualStations
RD1A

Discovery Sprint

Discovery Researchanalytical4061%82.2h80.0h7
RD1B

Research Direction Position

Discovery Researchjudgment540%334.7h293.1h6
RD1C

Prior Work Sweep

Discovery Researchtransactional2,42674%21.0h23.8h4
RD2A

Stage Gate Review

Innovation Portfoliotransactional5,10667%12.0h11.8h6
RD2B

Kill Signal Escalation

Innovation Portfoliotransactional6,88158%4.5h4.5h5
RD2C

Portfolio Bets Position

Innovation Portfoliojudgment528%198.6h248.6h5
RD3A

Protocol Development

Experiment Designtransactional43070%10.2h12.0h7
RD3B

Protocol Deviation

Experiment Designtransactional7,29267%22.2h19.7h5
RD3C

Design Standard Refresh

Experiment Designtransactional2,91368%24.3h19.6h4
RD4A

Instrument Booking

Lab Operationstransactional5,52293%7.1h6.5h5
RD4B

Consumables Replenishment

Lab Operationstransactional1,31787%7.5h6.3h4
RD4C

Calibration Cycle

Lab Operationstransactional2,88288%6.4h5.5h6
RD5A

Model Development

Data Science & Modelingtransactional2,32676%16.1h13.6h8
RD5B

Drift Response

Data Science & Modelingtransactional7,70782%17.4h14.6h6
RD5C

Model Retirement

Data Science & Modelingtransactional4,99986%7.2h8.3h5
RD6A

Prototype Cycle

Prototype & Pilottransactional4,64477%16.9h17.2h7
RD6B

Pilot Deployment

Prototype & Pilottransactional47577%12.0h11.6h6
RD6C

Scale Readiness Assessment

Prototype & Pilotanalytical1249%49.0h50.9h4
RD7A

Invention Capture

IP Creation & Capturetransactional63473%15.6h19.1h6
RD7B

Trade Secret Registration

IP Creation & Capturetransactional46273%13.6h15.2h5
RD7C

IP Strategy Position

IP Creation & Capturejudgment448%455.0h552.4h5
RD8A

Regulatory Submission

Regulatory Sciencetransactional7,45964%2.6h3.2h8
RD8B

Standards Change Response

Regulatory Sciencetransactional7,27663%13.1h13.4h6
RD8C

Compliance Testing

Regulatory Sciencetransactional7,47964%11.0h10.6h5
RD9A

Research Collaboration Setup

External Collaborationtransactional3,82865%22.8h18.1h7
RD9B

Data Sharing Request

External Collaborationtransactional2,02270%6.1h7.3h6
RD9C

Publication Clearance

External Collaborationtransactional92866%14.4h16.4h6
RD10A

Scouting Cycle

Technology Scoutinganalytical2567%151.9h174.8h6
RD10B

Build-Buy-Partner Position

Technology Scoutingjudgment239%436.0h471.7h5
RD10C

Technical Diligence

Technology Scoutingtransactional3,09780%10.4h13.4h5
RD11A

Quarterly Portfolio Read

Portfolio Analyticsanalytical6466%82.2h75.2h6
RD11B

Success Rate Analysis

Portfolio Analyticsanalytical7673%130.9h122.3h4
RD11C

Benchmark Study

Portfolio Analyticsanalytical3362%186.4h198.9h4

Observe layer — the watchers

Sensing agents and the agents that supervise other agents.

Discovery Orchestrator

Owns the discovery research lane end to end. Sequences the other agents, holds the timetable, and decides what surfaces to a human.

A396%

Discovery Research Challenger Agent

Adversarial reviewer for discovery research. Argues the opposite case on every position and flags where the evidence does not carry the claim.

A297%

Innovation Portfolio Orchestrator

Owns the innovation portfolio lane end to end. Sequences the other agents, holds the timetable, and decides what surfaces to a human.

A296%

Kill Signal Agent

Watches innovation portfolio continuously. Detects drift, quantifies it, and routes what matters without waiting for a reporting cycle.

A290%

Innovation Portfolio Challenger Agent

Adversarial reviewer for innovation portfolio. Argues the opposite case on every position and flags where the evidence does not carry the claim.

A287%

Experiment Design Orchestrator

Owns the experiment design lane end to end. Sequences the other agents, holds the timetable, and decides what surfaces to a human.

A387%

Bias Detection Agent

Watches experiment design continuously. Detects drift, quantifies it, and routes what matters without waiting for a reporting cycle.

A388%

Experiment Design Challenger Agent

Adversarial reviewer for experiment design. Argues the opposite case on every position and flags where the evidence does not carry the claim.

A288%

AI GBS layer — the shared spine

Repeatable transaction processing does not belong to this function.

c2l48,801 units / wk routed

Experiment Design · Lab Operations · Prototype & Pilot · IP Creation & Capture · Regulatory Science

data-analytics15,205 units / wk routed

Data Science & Modeling · Portfolio Analytics

Stations running inside AI GBS

54 of 184 stations(29% of the function's stations)

Read this page as the honest answer to “what would an 80% agentic Research & Development look like?” The strategy and policy layers are where the argument happens. The workflow and AI GBS layers are where the volume goes. The observe layer is the only reason the other four can be trusted.

Sub-function breakdown