Product

The platform your transformation runs on.

AI infrastructure for the workforce. Data in, intelligence out, on one living model your organisation owns and keeps building on.

The engine

Data in. Intelligence out.

Run a programme and the platform ingests your data, runs structured analysis through Anima, and produces living documents you can act on.

Ingestion

Data in

  • HRIS and exports
  • Tools and vendors
  • Processes
  • System signals
The engine

Anima

Breaks roles into tasks, scores each for automation potential, maps the dependencies, and generates the outputs.

Outputs

Intelligence out

  • AI impact reports
  • Living JDs
  • Capacity ledgers
  • Risk maps and board briefs
Anima at work

Ask a question. Get the deliverable.

One flow from question to boardroom-ready output: the co-pilot researches your graph, role agents advise your people, and every insight lands as a living document.

Prompt

We're considering sunsetting Salesforce next year. What breaks, who is affected, and what would the transition cost us in capacity?

Context
OrganisationNorthwind
ScopeWhole org · 320 people
Systems mapped43 tools · 14 vendors
Data freshnessUpdated 2h ago
Anima · multi-model synthesis

Salesforce Sunset: Impact Brief

Dependency analysis across roles, tasks, tools and processes
Key insight
Salesforce touches 61 tasks across 9 roles, but 70% of that surface is already duplicated by your existing stack or automatable. A staged 2-quarter transition frees 240 hours a month at steady state.
Who is affected
Account Executives31 tasks touch SalesforceHigh
RevOpsowns 6 dependent integrationsHigh
Customer Successreporting workflows onlyMedium
Generated artifacts
  • Board-ready transition scenario deck with costs, risks and timeline
  • Updated living JDs for the 9 affected roles
  • Capacity ledger tracking the 240 hrs/month as they land
The journey

Three phases, one repeating cycle.

Each phase is anchored to outcomes, not outputs. Traction feeds the next Discovery.

01Discovery
Where are we?
Discovery · Role analysis
Senior Product Manager
24 tasks
Write PRDs & specs82%
Analyse product metrics67%
Prioritise backlog44%
Run stakeholder reviews18%
Hours freed / week11.4 hrs

Where does AI hit hardest?

Map your workforce, tools, vendors and processes. Score AI exposure at the task level, role by role.

Explore Discovery
02Transform
What do we change?
Transform · Workforce stack
4 dimensions
6 initiatives
Roles redesigned42
Tools consolidated18
Vendors reviewed6
Agents deployed8
Capacity redeployed3,180 hrs / mo

What do we change, and when?

Redesign roles, consolidate the stack, plan capability programmes. Commit to transitions with real dates.

Explore Transform
03Traction
Is it landing?
Traction · Adoption signal
AI tools this week
Live
Claude 612 prompts↑ 92
Cursor 1.2k completions↑ 88
Copilot 523 completions→ 56
Manual reporting declining↓ 34
Capacity realised vs projected+14% MoM

Is your AI investment landing?

Track rollouts, measure real adoption, detect drift. Live evidence from the systems you already use.

Explore Traction
A continuous cycle. Traction feeds the next Discovery.
Start with Discovery

See what AI means for your workforce.

Start with Discovery. We baseline your workforce task by task, and show you where the capacity is hiding.

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