diagnostic
LaborMap™ diagnostic
A diagnostic that maps labor bottlenecks across your organization. LaborMap™ identifies where a Human + Machine workforce can recover margin.
what it is.
your labor bottlenecks, mapped
The LaborMap™ diagnostic is Jo from's proprietary task-level audit that evaluates operational bottlenecks across Input, Throughput, and Output factors. It identifies which tasks require human judgment versus machine execution, quantifies the margin loss of misallocated labor, and delivers an auditable, outcome-priced staffing allocation plan.
The output is not a slide deck that sits on a shelf. It is a prioritized operational blueprint that maps your entire organization department by department, proving exactly which clerical workflows can move to machine teammates and what the expected cost recovery looks like in audited numbers.
framework.
the four layers of work
LaborMap™ looks beyond job titles. It maps work across organization, function, role, and task layers so leaders can see whether the right intervention is staffing coverage, role redesign, task migration, workflow cleanup, or a managed operating cadence.
01
Organization
Where work sits in the operating model and which business outcome it supports.
02
Function
Which department owns the outcome and where cross-functional handoffs slow the flow.
03
Role
Who is answerable for the work, what capacity they have, and what work mix they carry.
04
Task
Which repeated activities require human judgment and which fit machine execution with oversight.
task lens.
the task layer decides the Human + Machine mix
At the task layer, LaborMap™ evaluates work across input, throughput, and output factors. That prevents leaders from moving too much work too quickly or leaving repeated execution inside roles where it creates avoidable cost.
Input (F1–F5)
Knowledge, Answerability, Communication, Problem-Solving, and Available Tools
Tech E&O Protection: Verifies statutory prerequisites, licensing tiers, and answerability boundaries before work enters the pipeline.
Throughput (F6–F10)
Decision-Making, Information Processing, Coordination, Adaptability, and Learning
Cyber & Drift Mitigation: Constrains machine execution to deterministic rules and flags out-of-distribution exceptions in real time.
Output (F11–F15)
Deliverables, Service, Recommendations, Performance Impact, and Knowledge Transfer
CGL & ISO CG 40 47 Preservation: Requires named human gatekeeper sign-off before any external deliverable or financial commitment leaves the organization.
process.
how the diagnostic works
01
Discover
We review staffing structure, workflows, and the metrics that matter to your business to locate where work slows down and what it costs.
02
Design
LaborMap™ pinpoints the roles, tasks, and handoffs where labor constraints slow output and separates human judgment from repeatable machine execution.
03
Deploy
We stand up the Human + Machine workforce mix, connect your existing tools, and verify throughput and governance week after week.
safety.
responsible Human + Machine governance
No organization is mandated by the NIST AI Risk Management Framework—it is a voluntary federal guidance standard. LaborMap™ is designed to help operators voluntarily adopt and align with NIST AI RMF principles to design, develop, deploy, and use machine capabilities responsibly and safely.
By embedding the four NIST functions—Govern, Map, Measure, and Manage—directly into your task allocation audit, LaborMap™ ensures every workflow operates under auditable human gatekeeper oversight. This voluntary alignment satisfies commercial insurance underwriters, protects your P&C coverage, and ensures zero uninsurable algorithmic drift.
01 / Govern
Human Accountability
Assigns accountable human owners to every workflow outcome.
02 / Map
Context & Hazards
Identifies operational constraints, failure modes, and data dependencies.
03 / Measure
Audited Metrics
Quantifies task accuracy, cycle times, and margin recovery targets.
04 / Manage
Runtime Controls
Enforces human gatekeeper review before critical work is delivered.
telemetry.
an engineering-derived risk prior refined by runtime telemetry
LaborMap™ bridges the gap between static workforce consulting and commercial insurance underwriting. Every deployment combines a pre-deployment structural prior with cryptographic runtime telemetry, powering both Affirmative P&C coverage and the Output Allocation Decision Report.
01 / Cold-Start Prior
Two-Tier (Static > Fluid) 0–1,000 Prior
Scores every workflow across the 4 layers of work and the j0b_catalog (E1–E5, M1–M5, L1–L5), establishing a deterministic 0–1,000 risk prior before the first task executes.
02 / Architectural Boundary
Out of the Loop, by Construction ($0.00 Machine Money Authority)
Machine teammates prepare the 80% procedural draft while human Player/Coaches execute 100% of money movement and external commitments across 5 E | M | L policy gates in Start -> Inbox.
03 / Credibility Updating
Bühlmann Credibility & Behavioral Learnability Profile (BLP)
Continuously refines the cold-start prior using live L2 RunEvent (I/O/R/C/Cw/U/t) and sha256 HandoffRecord telemetry across three references: Absolute Governance Bounds, Peer Deployment Population, and Longitudinal Fleet Trend.
04 / Dual-Use Corpus
Layer A/B/C Separation & Epiplexity
Grounded in From entropy to epiplexity (Finzi et al., CMU/NYU), strict separation of Layer A (Signed Fact), Layer B (LaborMap™ Classification), and Layer C (Isolated Claims Outcome) powers Affirmative underwriting with HSB / Munich Re (aiSure), Chaucer / Lloyd's Syndicate 1084 + Swiss Re, Relm, and Testudo as well as the Output Allocation Decision Report that bolts onto Mercer (Mercer IPE), WTW (Global Grading), and Aon's Future of Work Consulting Tech Practice.
output.
what you get from the audit
- A complete map of labor bottlenecks across your organization
- Cost quantification for each bottleneck in margin, throughput, and compliance terms
- Human + Machine workforce model recommendations prioritized by impact
- Expected recovery projections with measurable targets
faq.
frequently asked questions
What is the LaborMap™ diagnostic?
LaborMap™ is an engineering-derived risk prior refined by runtime telemetry that maps labor bottlenecks across Organization, Function, Role, and Task layers, quantifies operational impact, and designs a governed Human + Machine workforce mix to recover throughput and margin.
How does LaborMap™ function as an engineering-derived risk prior refined by runtime telemetry?
LaborMap™ establishes a Two-Tier (Static > Fluid) 0–1,000 Cold-Start Risk Prior across the j0b_catalog (E1–E5, M1–M5, L1–L5) and Input, Throughput, and Output factors (0–350 Machine-Optimal, 351–650 Coordinated Soft HITL, 651–1,000 Human-Required Hard HITL). In production, live L2 RunEvent (I/O/R/C/Cw/U/t) and sha256 HandoffRecord telemetry continuously refine that prior via Bühlmann credibility and the Behavioral Learnability Profile (BLP) across Absolute Governance Bounds, Peer Deployment Population, and Longitudinal Fleet Trend — while enforcing strict Layer A/B/C separation grounded in epiplexity (Finzi et al., CMU/NYU: 'From entropy to epiplexity').
Who underwrites Affirmative AI and machine labor policies today, and how does LaborMap™ cure ISO CG 40 47?
Affirmative AI, Tech E&O, D&O, and P&C coverage is actively underwritten today by HSB / Munich Re (aiSure), Chaucer (Lloyd's Syndicate 1084 + Swiss Re), Relm Insurance, and Testudo, alongside Marsh Fast Track, Aon Client Treaty, and WTW follow-form facilities. LaborMap™ cures ISO CG 40 47 generative AI exclusions across the 80%+ of back-office tasks where machine teammates beat human cost today (contrasted with standalone physical-robotics MGA peer trustboop.com, where physical robots beat human cost on only 0.3% of tasks today).
How do $0.00 machine money authority, the 80/20 Player/Coach Law, and the Future of Work Consulting Tech bolt-on work?
By construction, machine teammates hold $0.00 money authority (out of the loop, by construction): they prepare the 80% procedural draft while human Player/Coaches execute 100% of money movement and external commitments across 5 E | M | L policy gates in Start -> Inbox. Simultaneously, LaborMap™ and the j0b_catalog generate the Output Allocation Decision Report, bolting directly onto Mercer (Mercer IPE), WTW (Global Grading), and Aon's Future of Work Consulting Tech Practice.
How long does a LaborMap™ engagement take and what deliverables do teams receive?
The diagnostic takes 15 minutes to initiate and produces a complete bottleneck map, impact quantification, role-level Human + Machine staffing recommendations, and an Output Allocation Decision Report with measurable recovery targets.
