Platform
Overview

The platform and the AI infrastructure

The Human Layer Graph

One living model of your workforce

Anima, the engine

Ingest, analyse, transition, traction

Agents, MCP and CLI

Let agents drive the platform

Security and TrustEXT

Trust Center

The journey
01
Where are we?
Discovery

Baseline the workforce, task by task

02
What do we change?
Transform

Redesign roles, stack and process

03
Is it landing?
Traction

Measure adoption from live systems

Consulting
Our approach

How AI reshapes work, and how we tackle it

Programmes

A growing library, outcome-led

Our experts

AI and domain experts who run engagements

How engagements work

First call to live measurement

The programmes
Discovery
01See how AI has impacted your roles02Find which tools and SaaS AI has disrupted03Map your business processes04Measure your team's AI competency
Transform
05Redesign your org to be AI-first06Create a rightsizing plan mapped to your processes07Consolidate your tool and vendor stacks08Build transformation scenarios for your board
Traction
09Track an AI tool or agent rollout10Track rightsizing progress11Track L&D progress12Track vendor consolidation
Browse all programmes
Partners
Why partner

An engine to lead transformations

How it works

You in front, the platform behind

Partner tooling

The MCP and CLI layer, partner-framed

Resources
Insights

Frameworks, research and points of view

Roles

Task-level analysis across roles

Industries

AI impact by sector

By team and leader

Built for every leader

Compare

See how the model stacks up

Trust CenterEXT

trust.inc

Featured
Perspective
Your AI transformation is firing your greatest asset
Frameworks
What is AI workforce transformation?
Partner tooling

Your agents. Every client's graph.

The same agent interface that drives the platform, scoped to your partner workspace. An MCP server and a CLI let your consultants scope, deliver and report across the whole book from the tools they already work in.

Apply to partner How the interface works
In your workflow

One agent across your whole book. Scope a prospect, generate a client deliverable, or review the portfolio: Anima answers from each client's live graph, with every figure grounded in task-level evidence.

Prompt

We're pitching a 400-person logistics company on an AI workforce programme. Draft the Discovery scope: which departments to baseline first, the data we need, and the capacity story for the proposal.

Context
ClientMeridian Logistics (prospect)
Headcount~400 · 6 departments
TemplateDiscovery scope
GroundingSector patterns · your book
Anima · scoped to your partner workspace

Meridian Logistics: Discovery Scope

Proposal-ready scope · generated for your engagement letter
The pitch in one line
Baseline the workforce task by task before anyone buys another AI tool. Comparable logistics organisations in your book surfaced 400+ freed hours a month in Operations alone.
Departments to baseline first
Operations120 roles · heavy routine coordinationWave 1
Customer Service80 roles · high task overlapWave 1
Finance35 roles · known automation surfaceWave 2
Data requests to send
  • HRIS export: roles, departments, reporting lines
  • Tool and vendor inventory, or access to expense data to derive it
  • Two process walkthroughs per Wave 1 department
The CLI

Script the delivery you repeat.

Standing up workspaces, launching programmes, exporting branded deliverables: the parts of an engagement you do every time become one-liners your firm owns.

your-firm — hll cli
hll clients list
NAME PHASE CAPACITY FREED
meridian-capital Transform 640 hrs/mo
northwind Discovery baselining
cloudify Traction 1,240 hrs/q
hll clients onboard "Atlas Retail" --programme discovery
workspace provisioned · atlas-retail
Discovery queued · 3 data requests sent
hll graph query --client meridian "top automation opportunities by dept"
hll docs generate board-brief --client meridian --brand yourfirm
board-brief.pdf · grounded in 847 task-level evidence points

Illustrative session · the CLI is in early access for partners.

Over MCP

Point your firm's agents at every client graph.

Connect Claude Code, cowork, or any MCP client to a client's graph through your partner workspace. Your consultants keep their tools; the evidence keeps its provenance.

Early access

One MCP server, your whole book behind it.

The same MCP server, API and CLI that drive the platform, scoped to your partner workspace. Switch clients with a flag; every call runs inside that client's governance boundaries and lands in the same audit trail as the portal.

MCP server

Claude Code

Give your coding agent full context on every role, system and dependency as it works.

MCP server

Claude cowork

Let cowork agents reason over your live org: plan headcount, model changes, draft JDs.

Open protocol

Any MCP client

Cursor, Cline, your own internal agents: anything that speaks MCP can query the graph.

Early access
Request accessIn closed beta. Opening to select customers.
Vector semantic search across all org knowledgeAutomatic memory from every conversationFull RBAC: admin, analyst and viewer scopes
Built to be trusted

Fast for your firm. Safe for your client.

Partner tooling only works commercially if the client can trust it completely. So the controls aren't optional.

01

Attributable by design

Tooling access runs through the same audit trail as the portal. Every call is logged by consultant and by client, and stays visible to the client.

02

Governance intact

Your agents inherit each client's governance boundaries. Agents propose; your people, and the client's, decide.

03

Deterministic underneath

The measurement and execution layer is deterministic and observable. No black boxes, so every engagement is traceable and reproducible.

Agents, MCP and CLI

The full picture of how agents drive the platform on the Human Layer Graph.

Learn more
Get set up

Put the platform in your consultants' hands.

Apply to partner and we'll get your firm set up on the portal and the tooling.

Apply to partner

We use cookies to improve your experience and analyze traffic.