How engagements work

From first call to live measurement.

No mystery, no months of mobilisation. The platform runs the engagement, the graph, Anima and the programmes, and our forward-deployed experts fold in alongside your team: heavy support at the start, your team driving directly as confidence grows. Here it is step by step: what lands in the platform, what our people do, and exactly what you see at every stage.

The model

Who does the work?
Both, by design.

Our experts set the direction, run the onboarding, sit at every confirmation gate and shape what the evidence means for your business. The platform is where all of it lands and stays live. How the mix tilts is up to you, heavy consultancy support at the start, your team driving directly as confidence grows, and the price flexes with it.

Every step below runs on two strands, In the platform and Our team, and you set the mix.

Week 0First call, direction set, scope agreed
Week 1Your context ingested and confirmed
+48 hrsFirst analysis lands in the platform
Week 2Task-level evidence and living documents
Week 3+Live measurement, always on
01Week 0 · First call

Set the direction

Every engagement starts with people in a room, not a login. A working session with our experts and your leadership captures where the business is going and what success looks like, so every analysis that follows is calibrated to your ambition, not a generic benchmark.

In the platform

Your direction becomes the yardstick every output is measured against, and the scoped programmes are set up ready to run, visible before they start.

Our team

We run the AI adoption survey with you, pressure-test the goals and agree the scope: which programmes run, on which part of the org, in what order. Usually one department first, then expand.

app.humanlayerlab.com/programs
A Discovery programme before it starts: what it produces, what to have ready, nine steps, about twenty minutes

On screenA scoped programme before it runs: what you'll walk away with, what to have ready, 9 steps, ~20 minutes.

02Week 1 · Ingestion

Ingest your context

We bring your organisation in cleanly: structure, roles, processes, tools and vendors, from HRIS and system exports or entered by hand. Ingestion takes a few days to a week depending on volume and access.

In the platform

Your real stack and structure load in, categorised and ready. Where something is missing, the platform proposes it for your team to confirm.

Our team

White-glove onboarding we run ourselves. Our team works directly with your HR, IT and ops people to gather exports, sort access and fill the gaps, with a shared channel as your direct line to us, every day.

app.humanlayerlab.com/tools
The tools inventory: 43 tools loaded, categorised and active

On screenYour real stack, loaded and categorised: 43 tools, each about to be mapped to the tasks they carry.

03Week 1–2 · Confirmation gates

Build and confirm the graph

We build the Human Layer Graph, one connected model of roles, tasks, people, skills, processes, tools and vendors, and stop at each gate for your team to confirm it. Nothing runs on data you have not signed off.

In the platform

Every entity and link visible, nothing hidden in a model. The agents propose, your people decide, and the graph keeps living and growing, long after the engagement.

Our team

Our AI experts run the build; our domain experts sanity-check it against how your world actually operates. We sit with your team at every gate, so sign-off is a working session, not a form.

app.humanlayerlab.com/graph
The Human Layer Graph mid-build: 581 entities, 1,730 connections, task coverage climbing

On screenThe graph mid-build: 581 entities, 1,730 connections, 28% task coverage and climbing, confirmed gate by gate.

04+24–48 hours · Analysis

Run the programmes

The programmes scoped on day one run as guided flows. Initial analysis lands in as little as 24 hours, 48 for the complete graph.

In the platform

When a programme completes, everything it produced is already in your graph, not in a deck waiting to be re-keyed. First findings within 48 hours of ingestion.

Our team

Our experts drive the first runs side by side with your team, step by step in working sessions, so the method transfers while the analysis happens, and your people can run the next one themselves.

app.humanlayerlab.com/programs
A Discovery programme complete, with everything it produced mapped into the graph

On screenTop-Down Discovery finished: 40 roles, 351 tasks, 558 skills, 43 tools and 14 vendors, landed in the graph.

05Week 2 · The evidence

Read every role, task by task

Every analysed role gets a working read: AI risk, capacity unlocked in hours per week, and a task-by-task view of what automates, what augments and what emerges. This is the evidence everything that follows stands on.

In the platform

Risk, capacity and FTE impact per role at a glance, with the market signals behind every claim one tab away in Citations, and a manager brief and living JD generated from the same read.

Our team

We walk your leaders through the reads, role by role: what the evidence says, what it means for your teams, and where our domain experts would push back or dig deeper before anyone acts on it.

app.humanlayerlab.com/roles
A role analysed: risk, capacity unlocked per week, and task-by-task automation scores with citations

On screenOne role's read: 50% risk, 8 hrs/week unlockable, automation scored task by task, citations one tab away.

06Week 2 · Living documents

Documents that stay live

Branded, living documents generated from your actual org data: AI impact reports, living job descriptions, capacity views, manager briefs, board briefs.

In the platform

They are not exports; they stay connected to the graph and current as the analysis moves. Ask Anima and the next document drafts itself.

Our team

We shape the narrative with you: what the board needs to hear, what managers need in hand, so each document lands with the audience it is written for, board-ready on day one.

app.humanlayerlab.com/chat
Anima drafting a core business processes document live from the graph

On screenAsk for a document and Anima drafts it from the graph: here, a core business processes overview.

07Week 3 onwards · Traction

Measure it landing

Evidence pulls from the systems you already use: development velocity, AI tool usage, adoption at role level. Live signals, not surveys, so you know within weeks whether the investment is landing.

In the platform

Capacity realised tracks against projected, drift shows against the baseline, and the skills picture projects out over the next two years. Traction feeds the next Discovery: a loop, not a project.

Our team

A regular cadence with our team: reviewing what is landing, unblocking what is not, and planning the next cycle from the evidence, for as long as you want us in the loop.

app.humanlayerlab.com/skills
The skills capacity table: 558 skills with hour projections at 6, 12, 18 and 24 months

On screen558 skills across 40 roles, with capacity in hours projected at 6, 12, 18 and 24 months.

After Discovery

Transform picks up where Discovery lands.

The same platform turns the findings into committed plans: role combinations, tool and vendor consolidation, org redesign, L&D programmes, agent rollouts, each one a programme with an owner and a date. Traction measures it landing, and the loop keeps turning.

app.humanlayerlab.com/transform
The Transform hub: programmes to consolidate tools and vendors, combine roles, redesign the org and roll out agents
Explore Transform Browse the programme library
Throughout

We work alongside your team. We don't hand over a login.

A shared channel as the direct line to us, onboarding we run ourselves, and a forward-deployed team in the room with yours, through every step above. Then the same proven programmes run in the platform as you scale.

Meet the experts
a forward-deployed network of AI & domain experts

White-glove from day one, until your team can run it directly.

Shared channelyour direct line, every day
Sign-off gatesnothing runs unconfirmed
The practical detail

Commercials, data and prerequisites.

The three things procurement, security and your sponsor will ask about first.

Scope and commercials

A working session sets scope: which programmes run, on which part of the org, in what order. The platform runs as a subscription with prepaid credits drawn down on actual usage, and the price level flexes with how much consultancy support you want versus your team driving directly.

Your data

Encrypted in transit and at rest, held in a region named in your contract. Sensitive context can stay in your systems. Every analysis version is audited, and nothing runs without your sign-off. Full detail in the Trust Center.

What you need to start

Your direction and the AI adoption survey we run with you, plus the tools, vendors and processes your teams use day to day. Roles help but are not the whole picture. Whatever you do not have, we propose.

FAQ

The things teams ask before they start.

Who actually does the work: your consultants or the platform?+

Both, by design. Our forward-deployed experts set the direction, run the onboarding, sit with your team at every confirmation gate and shape what the evidence means for your business. The platform is where all of that lands and stays live. How the mix tilts is up to you: heavy consultancy support at the start, your team driving directly as confidence grows, and the price flexes with it.

How long does it take?+

First we ingest your context data, which can take a few days to a week depending on volume and access. After that, the initial analysis runs in as little as 24 hours, 48 for the complete graph. The rest is your team confirming the results, not waiting on us.

What do I need to have prepared to start?+

The more context the better: your business direction and the AI adoption survey we run with you, plus the tools, vendors and processes your teams use day to day. Roles help, but they are not the whole picture. Whatever you do not have, we propose.

What does it cost?+

Human Layer Lab is an always-on engine, so it runs as a subscription, not a one-off. Your price level depends on how much consultancy support you want versus your team driving the platform directly. You pay for the analysis you run as prepaid credits on usage.

Where should we start?+

Start on one department with one or two of the pre-built programmes. Feel the results on a real part of the business, then show leadership the effectiveness before you scale.

What if our job descriptions are messy or out of date?+

No problem. We have a library of current job descriptions and market data to draw on. What we need is what people are actually doing at task level, which we capture through a short internal survey. You end up with JDs that finally match the real work.

Can we trust the analysis?+

Every finding traces back to task-level evidence, and nothing runs without your sign-off. Underneath is Anima, our analysis engine: deterministic and observable, with no black boxes and no lock-in to a single AI vendor, and every version audited.

What happens to our data?+

Encrypted in transit and at rest, held in a region named in your contract. Sensitive context can stay in your systems. Full detail in our Trust Center.

What happens after Discovery?+

Discovery builds your company brain. Transform actions off it: org redesign, reskilling, redeployment, L&D, stack and vendor decisions. Traction then measures it landing with live data and keeps running. Always on, feeding the next cycle.

Get started

Ready to see it on your own workforce?

Your first analysis lands within 48 hours of ingestion. Book a call and we'll scope where to start: one department, one or two programmes, results you can show leadership.

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