Concept walkthroughs · Live illustrative mocks

What the autonomous organization
looks like on screen.

Four concept demos that play themselves — watch each one run as you scroll. These are illustrative mocks built to sharpen customer discovery, not finished designs. Each ships with the questions it exists to validate; if a concept fails validation, the mock gets archived and the capital moves on.

The system · How the four fit

One brain. One loop. Four products.

signals triggers playbooks outcomes change the org — and get sensed again context context context CONTEXT Autonomous Org Brain the org graph every agent queries SENSE Org Pulse live org health signals PREDICT Risk & Opportunity Engine forecasts weeks ahead ACT Collaboration Fabric agents execute, humans gate
Sense → Predict → Act.
Why this order matters: the Brain is the foundation — it gives every agent context. The Pulse senses the org in real time; the Engine turns signals into foresight; the Fabric turns foresight into governed action. Outcomes change the org, the Pulse senses the change, and the loop closes. Each box is independently sellable; the loop is the category. Click any box to jump to its demo.
Concept 1 · Autonomous Org Brain

Ask the org anything. Agents do too.

Illustrative mock · Pre-validation

The moment it shows

A leader asks a question no dashboard can answer. The Brain traverses the org graph — people, projects, dependencies, decisions — and returns a grounded answer with evidence. The same API serves every agent needing context before it acts.

What's underneath

  • Org knowledge graph from collaboration signals (meetings, messaging, calendar) plus CRM/HRIS
  • Entity resolution and typed edges: owns, blocks, depends_on, decided
  • Context API for agents — the layer that makes every other concept smarter

Discovery questions to validate

  • Which 5 questions would org leaders pay to have answered instantly?
  • Is graph freshness (minutes vs. hours) a purchase criterion?
  • What privacy guardrails make this deployable in an F500?
Org Brain — Context Explorer MOCK
🧠
Grounded answer · 3 sources

Atlas GA is blocked by the Payments API migration, owned by Team Kilo. Dana flagged a two-week slip in Tuesday's staff meeting; the dependency was confirmed in #atlas-eng. Legal sign-off (Priya) is complete and is not a blocker.

📄 Staff mtg transcript · Jul 14 💬 #atlas-eng · Jul 15 Legal approval thread · Jul 9
Atlas Launch GA target: Sep 12 Payments API ⚠ 2-week slip Legal sign-off ✓ complete · Priya Team Kilo owner · Dana Compliance no open items blocks requires
One question. One grounded answer.
Concept 2 · Predictive Risk & Opportunity Engine

See it weeks before it happens.

Illustrative mock · Pre-validation

The moment it shows

Monday 8am. The engine has scored every team and project overnight. Three signals cross threshold — one attrition risk, one project slip, one expansion opportunity — each with drivers, confidence, and a recommended action.

What's underneath

  • Models trained on historical org signals: velocity, sentiment, workload, tenure patterns
  • 6-week forecast horizon with driver attribution, not black-box scores
  • Feeds the Fabric: high-confidence signals trigger agent playbooks

Discovery questions to validate

  • What prediction accuracy makes leaders act (70%? 85%?)
  • Attrition prediction: valuable or too sensitive to deploy? Who may see it?
  • Would customers pay per-seat or per-signal-domain?
Risk & Opportunity Engine — Forecast Board · horizon 6 weeks MOCK
Attrition risk
Team Orion (Platform)
0.00
Drivers: on-call load +40% QoQ · 2 declined promotions · sentiment −1.2σ over 4 wks
Project slip
Atlas GA (Sep 12)
+0.0 wks
Drivers: velocity −22% · scope +9 stories · Payments API dependency unresolved
Expansion signal
Acme Corp (Enterprise)
$0K
Drivers: usage +61% in 60 days · 3 new departments active · champion promoted to VP
08:02AlertOrion attrition risk crossed 0.75 — briefing drafted for skip-level, awaiting your review
08:02ForecastAtlas slip reforecast from +1.8 to +3.2 weeks after sprint 14 close
08:03ActionAcme expansion playbook queued to Fabric — account team briefing scheduled
Seen six weeks early.
Concept 3 · Agentic Collaboration Fabric

Agents run the workflow. Humans own the judgment calls.

Illustrative mock · Pre-validation

The moment it shows

A 250-seat customer signs. Four agents coordinate the onboarding end-to-end across collaboration, CRM, billing, and comms — pausing exactly once, at the human approval gate for non-standard contract terms. Watch it run.

What's underneath

  • Agent-to-agent protocol (A2A/MCP) with typed handoffs and shared goal state
  • Governance layer: every action logged, human gates configurable per workflow
  • Queries the Org Brain for context; consumes Risk Engine signals as triggers

Discovery questions to validate

  • Which 3 workflows do enterprises trust agents to run first?
  • Where must human gates sit for compliance sign-off?
  • Per-workflow pricing vs. platform license — what clears procurement?
Fabric — Workflow: Onboard customer · Acme Corp (250 seats) MOCK
🗂️
CRM Agent
Queued
⚙️
Provisioning Agent
Queued
🧑‍⚖️
Human Gate
💳
Billing Agent
Queued
📣
Comms Agent
Queued
CRM AgentOpportunity closed-won verified · account record enriched from Org Brain · goal state updated
Provisioning Agent250 seats provisioned · SSO configured against Acme IdP · 4 workspaces created
⏸ Human GateNon-standard term detected: net-90 billing. Routed to Deal Desk (Maria) with recommendation + precedent from 2 similar contracts.
✓ Human GateApproved by Maria (Deal Desk) · net-90 accepted with standard escalation clause · decision logged
Billing AgentInvoice issued on approved net-90 terms · revenue schedule created in ERP
Comms AgentWelcome sequence sent · kickoff booked from both calendars · CSM briefed with account summary
Elapsed: 47 minutes · manual baseline: 6 days
47 minutes. Not 6 days.
Concept 4 · Real-Time Org Pulse

Org health as a live signal, not a quarterly survey.

Illustrative mock · Pre-validation

The moment it shows

A COO glances at the board mid-quarter. Decision velocity is improving, meeting load is creeping up, and one team's sentiment has drifted two weeks running — with an agent already proposing the intervention. Retrospective BI becomes a live operating instrument.

What's underneath

  • Streaming aggregation of collaboration, HRIS, CRM, and delivery-tool signals
  • Privacy by design: team-level aggregates, never individual surveillance
  • Signals feed the Risk Engine and can trigger Fabric playbooks

Discovery questions to validate

  • Which 4 metrics would a COO check weekly, unprompted?
  • Where is the line between org insight and employee surveillance?
  • Standalone product or premium tier on an existing analytics suite?
Org Pulse — Live Board · Engineering Org · wk 29 MOCK
Decision velocity
0.0d ▼ 0.8d
Meeting load / person
0.0h ▲ 1.9h
Sentiment drift · Kilo
0.0σ 2 wks
Cross-team collab index
0.00 — flat
LiveSignalTeam Kilo sentiment −0.8σ for 2 consecutive weeks · correlated with Payments API crunch
LiveProposedAgent drafted a load-rebalance proposal (2 engineers, 3 weeks) — one click to route to eng leadership
LiveInsightMeeting load up 3 weeks running; 61% of growth is recurring syncs with no decisions recorded
Live. Not last quarter.
How these compound: the Brain gives agents context → the Engine gives them foresight → the Fabric lets them act → the Pulse shows the org changing in real time. Four concepts, one architecture. Each is independently sellable; together they define the autonomous organization category.  ← Back to Generic Market