Outcomes, not outputs.
Most transformation is measured in activity: workshops run, decks delivered, tools deployed. Ours runs on a platform: the graph, Anima and the programmes do the work, with forward-deployed experts folded in as much, or as little, as you want, and outcomes measured from your live systems. Everything we build stays yours.
Jobs don't disappear.
Tasks do.
This kind of change isn't new.
Thirty years of gradual change. Email replaced memos. Travel sites replaced agents. Manageable.
Then AI arrived. The pace is new.
More tasks will transform in the next two years than in the last thirty combined.
The real challenge isn't job loss.
It's staying ahead of continuous task change.
Change at this pace can't be managed with an annual org review and a slide deck. It needs a modern approach: task-level, platform-backed, measured live.
The Job
Executive Assistant
Job persists. Tasks evolve.
Task Bundle
6 core tasks. Stable for decades.
The Job
Executive Assistant
Job persists. Tasks evolve.
Tasks transform. The role evolves.
Everyone is deploying AI.
Almost no one can prove what it changed.
The failures share a pattern: initiatives measured in activity, aimed at the wrong level of the organisation.
Cited third-party figures. Sources: McKinsey State of AI 2025; S&P Global Market Intelligence 2025; CHRO Association 2026.
AI disrupts tasks.
Not roles.
Every role is a bundle of tasks. AI automates some, augments others, and creates new ones. The risk and the opportunity both live at the task level, so that is the level we analyse at, and the level we map and plan transformation from.
Customer Success Manager
- Ticket triage
- FAQ responses
- Status updates
- AI conversation oversight
- Exception handling
- Sentiment analysis
Account Executive
- Lead research
- Email drafting
- CRM updates
- AI demo customisation
- Deal strategy synthesis
- Relationship orchestration
Financial Analyst
- Data gathering
- Report formatting
- Variance calculations
- AI model validation
- Scenario design
- Strategic narrative
Software Engineer
- Boilerplate code
- Test writing
- Documentation
- AI code review
- Architecture decisions
- System design
Illustrative role archetypes, not client data.
Tools are churning
Agent-native tools are replacing seat-based software and whole categories are collapsing into platforms. The tool map you drew last year is already stale. We track which tools carry which tasks, and which are next to turn over.
So are vendors
Work that lived with agencies and BPOs is coming in-house to AI-augmented teams, and some internal work is heading the other way. The line between your organisation and its vendors is being redrawn, task by task.
If the change is task-level and continuous, the response has to be too. So we rebuilt consulting around a platform.
The platform does the work.
Experts fold in.
Task-level, continuous, evidence-cited work is platform work, not deck work. This is what AI-native consulting means: a living graph of your organisation, an agentic consultant reasoning over it, and programmes that run end to end, with a network of AI and domain experts you fold in, from full-service to your team driving directly. You set the mix; the price flexes with it.
Human Layer Graph
A living model of your organisation: roles, tasks, skills, processes, tools, vendors. It never goes stale.
Anima
An agentic consultant that reads the whole graph: every analysis runs with full context, and gets sharper with every programme.
Run end to end
A library of proven engagements. Each captures the data, runs the analysis, and lands living documents wired to outcomes.
Experts, folded in
Forward-deployed AI and domain experts, as much or as little as you want. You set the mix, and the price flexes with it.
Three phases, one repeating cycle.
The platform runs every engagement through one repeating cycle — Discovery, Transform, Traction — each phase anchored to outcomes rather than outputs. Traction feeds the next Discovery, so each pass sharpens the next.
A continuous cycle. Traction feeds the next Discovery.
Here's how each phase works in practice.
Start from the operation.
Layer on the people.
The cycle starts with the map. Transformation only holds if it is grounded in how the business actually operates: the processes, the workflows, how work gets done, which roles, doing which tasks, with which tools and vendors. We build that picture from two directions at once.
Process mapping
Map the engines, derive everything elseWe start with org structure and the core business processes: acquisition, delivery, product, operations, and derive roles, tasks, tools and vendors from how work actually flows through each engine. Faster, cleaner and more consistent for larger organisations.
People enrichment
Layer on the people viewRole-level task decomposition, self-reported data and AI-exposure scoring add ground-truth depth to the process map: how the work really gets done, person by person, and where the lived reality differs from the org chart.
Both converge on the same org map, analysed at the task level, with every finding traced to evidence your team has confirmed. That map is what transformation is planned from.
Explore DiscoveryWhen tasks compress,
roles can combine.
With the map built, transformation is planned from evidence. AI automates routine tasks across roles, and the high-value work that remains can fit in one enhanced role. New role combinations, new ways of working: a redefined human layer. Time freed is capacity to redeploy, not a reason to remove the people the transformation runs on.
Product Manager
45% automatableEngineer
35% automatableUX Designer
40% automatableBuilder
- +40% velocity on the end-to-end flow
- AI handles the execution layer
- Focus shifts to vision + craft
Unlock your super talent.
AI doesn't just make people faster at one thing. It lets them go deep on multiple skills. The T-shape becomes a rectangle.
Deep in one skill, surface awareness of others.
The math changes.
Being good at two things isn't twice as valuable, it's exponentially more valuable. The engineer who truly understands design and product becomes a triple threat: someone who can do what no single-skill specialist can.
These people are rare. They're often already in your organisation. You just need to find them and unlock them.
AI enables depth across multiple domains.
We help you:
- Identify high-potential role combinations early
- See which employees have latent multi-skill potential
- Build actionable pathways to unlock super talent
Measure traction. Bank the outcomes.
Redesign is only half the job. A transformation only counts when it shows up in the numbers. We measure adoption and capacity from your live systems, in hours, and bank each outcome against the baseline before moving to the next.
Live signal, not surveys
Adoption is measured from the systems your teams already work in: real usage on real workflows, updated continuously, not a pulse survey at quarter end.
Hours, banked
Capacity freed is counted in hours per week, tied to the tasks it came from, and banked as redeployed capacity against a baseline you agreed up front.
Compounding cycles
Every banked outcome resets the baseline. Traction feeds the next Discovery, so each cycle starts from evidence and compounds on the last.
Then the cycle runs again — and everything it produces accrues in one place. Here's what you run, what you keep, and who you get.
Pick a programme. Get a clear outcome.
You don't buy the cycle as a retainer — you run it through programmes. Each phase comes with a library of proven, pre-built ones: each captures the right data, runs structured analysis through the engine, and produces living documents you can act on.
Discovery
01See how AI has impacted your roles02Find which tools and SaaS AI has disrupted03Map your business processes04Measure your team's AI competencyA curated showcase from a growing library · plus bespoke programmes built to your exact requirements.
The work lands in a product, not a PDF.
Every programme runs step by step to completion in the platform, and everything it produces lands in your Human Layer Graph: one living model of roles, tasks, skills, processes, tools and vendors that stays yours.
Forward-deployed experts. Not a report over a wall.
The platform does the work — the experts you fold in decide how fast it lands. Every engagement pairs AI experts who run the engine with domain experts who know your world. A shared channel, onboarding we run ourselves, and a team in the room with yours from day one.
plus a forward-deployed team of AI & domain expertsReal people, in the room with yours, backed by the engine.
See what AI means for your workforce.
We baseline your workforce task by task, and show you where the capacity is hiding, what to do with it, and how to prove it's landing.