Large People Model
The framework
A way to diagnose how ownership, decisions, communication, information, platforms, governance, and AI shape an operating outcome.
Explore the Seven LayersLapemo · Organizational Intelligence Platform
Keep the operating model visible as work changes.
Large People Model explains the conditions that shape work. Lapemo is the software platform being designed to connect those conditions in governed operating records, so leaders can see who owns an outcome, how a decision should move, what information it depends on, and where AI may assist.
Product status: design-partner development. The workflow below explains the intended operating experience; it is not a claim that every capability is live today.
Framework and product
One explains the system. One is designed to operate it.
You can use Large People Model without software. Lapemo becomes relevant when the organization needs the same ownership, decisions, information, controls, and review state to stay connected over time.
Lapemo
The platform
An organizational intelligence platform being designed to connect those conditions as governed operating records for recurring work.
Framework → operating record
Hypothetical worked example
See the product relationship through one exception.
A customer asks for an exception. A governed agent can collect the facts and recommend a response, but the organization still needs a named human owner, a decision rule, trusted information, and a reviewable record.
Before · disconnected work
The exception moves through messages, memory, and manual handoffs.
- The agent finds the request but cannot confirm who owns the exception.
- Policy, order, payment, and customer context live in separate places.
- Approval happens in a message with no durable decision record.
- The organization cannot easily review why the exception was granted.
With Lapemo · intended product workflow
One operating record connects the context without transferring accountability to AI.
- 01
Ownership
The head of customer operations owns the quality and risk of refund outcomes.
- 02
Decisions
A service manager decides exceptions. The agent may recommend, but it does not own the outcome.
- 03
Communication
The decision, reason, and next action reach the customer, support team, and finance through defined channels.
- 04
Information
The case uses the current refund policy, order history, payment status, and customer record, each with a trusted source.
- 05
Platforms
The service, customer, and payment systems pass the case context without manual copying or hidden side work.
- 06
Governance
Approval thresholds, an audit record, an escalation path, and a review cadence make the exception controllable.
- 07
AI
The agent assembles evidence and drafts a recommendation. A named human approves the exception and remains accountable.
Intended result: The customer receives a faster answer, the decision remains traceable, and AI increases capacity without inheriting authority it should not hold.
What the software makes visible
The operating questions stay attached to the work.
Lapemo is designed to connect the records leaders otherwise reconstruct across meetings, documents, dashboards, and workflow tools.
01 · Owner
Who remains accountable for the outcome?
02 · Decision rights
Who may decide, recommend, approve, or escalate?
03 · Trusted information
Which current sources support the decision?
04 · Controls
Which rules, thresholds, and approvals apply?
05 · Exceptions
What is outside policy, and where does it go next?
06 · Review status
What happened, why, and when should it be reviewed?
Current product status
Clear about what exists now—and what is still being designed.
This page describes a product direction under design-partner development. It does not present design sketches, planned integrations, or intended automation as shipped customer capability.
Available now
Framework and working tools
The LPM framework, diagnostic, metrics, guides, and public working artifacts can be used manually from this site.
Being designed
Connected operating records
Lapemo's product direction connects owners, decisions, knowledge, controls, exceptions, evidence, and review state around recurring work.
Not claimed here
Unverified live capability
This page does not claim production integrations, automated monitoring, customer outcomes, or universal availability without verified evidence.
Optional product depth
Explore the product architecture after the workflow makes sense.
These are architectural concepts and product-direction descriptions, not screenshots or a live-feature inventory.
Optional product depth
Explore the product architecture after the workflow makes sense.
These are architectural concepts and product-direction descriptions, not screenshots or a live-feature inventory.
Knowledge Objects
Governed, owned, and versioned operating knowledge that can be used by people, workflows, and software.
Knowledge Layer
The connected context behind a workflow: owners, policies, sources, decisions, and evidence.
Control Layer
Decision rights, autonomy boundaries, escalation paths, approvals, and review requirements.
Intelligence Engine
The product direction for matching governed context to a situation and explaining a recommended next action.
Connection Point
The product direction for bringing the same governed context into the systems where work already happens.
Design partner conversation
Bring one workflow where coordination keeps breaking.
This is relevant for leaders accountable for operations, transformation, or AI adoption who can name a recurring workflow with unclear ownership, fragmented context, inconsistent decisions, or weak control.
Start with the workflow, the people affected, and the decision that needs to become more visible. The conversation will determine whether the design-partner path is a practical fit.