From first call to live measurement.
Practical detail on what actually happens: what we do, what your team does, how long each step takes, and what you see in the product at every stage.
Set the direction
We start with a working session and an AI adoption survey, run with you, that captures where the business is going. This calibrates every analysis to your ambition, not a generic benchmark, and sets the scope: which programmes run, on which part of the org, in what order.
- Your goals become the yardstick every output is measured against
- Scoped to start on one department and expand
Ingest your context
We bring your organisation in cleanly: structure, roles, processes, tools and vendors, from HRIS exports or entered by hand. Ingestion takes a few days to a week depending on volume and access. Where you do not have something, the platform proposes it for your team to confirm.
- A shared channel as the direct line to us, every day
- Onboarding we run ourselves, white-glove from day one
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. The agents propose, your people decide.
- Every entity and link visible, nothing hidden in a model
- The graph stays yours, long after the engagement
Run the programmes
The programmes scoped for your goals run as guided flows in the platform. Initial analysis lands in as little as 24 hours, 48 for the complete graph, depending on scope. Every finding traces back to task-level evidence with cited market signals.
- Guided step by step to completion, in-app
- Everything produced lands back in your graph
Living documents out
Branded, living documents generated from your actual org data: AI impact reports, living job descriptions, capacity views, manager briefs, board briefs. They are not exports; they stay connected to the graph and current as the analysis moves.
- Board-ready on day one, still accurate in month six
- Ask Anima and the next document drafts itself
Measure with Traction
Evidence pulls from the systems you already use: development velocity, AI tool usage, adoption at role level. Capacity realised tracks against projected, drift shows against the baseline, and the skills picture projects out 6, 12 and 24 months. Live signals, not surveys.
- Know within weeks whether the investment is landing
- Traction feeds the next Discovery: a loop, not a project
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
plus a forward-deployed team of AI & domain expertsWhite-glove from day one, until your team can run it directly.
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.
The things teams ask before they start.
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.
Ready to see it on your own workforce?
Book a call and we will scope where to start.