Meeting Intelligence
Captures discussions, decisions, risks, actions and implications from meetings — without manual note-taking.
Unerva connects people, meetings, data, risks, decisions, projects, programmes, strategy, operations and AI agents into one intelligent layer that senses, reasons and recommends action across the enterprise.
"Agentic intelligence for the living enterprise."
From fragmented execution to organisational intelligence.
Enterprises are overloaded with dashboards, meetings, reports, emails, project tools and disconnected systems. The signal-to-action loop is broken — not because intelligence is missing, but because it is scattered.
Critical exposures surface days or weeks after the signal first appeared.
Outcomes evaporate into transcripts and inboxes — never linked to action.
Owners, deadlines and dependencies live in twelve tools, owned by no one.
Today's tools depend on humans knowing what question to ask, and when.
Reports describe history. By the time it's in the dashboard, the moment has passed.
Organisations need a system that senses, connects, reasons and advises continuously.
Just as the human nervous system senses signals, interprets meaning and coordinates action, an Enterprise Nervous System connects the signals of an organisation and turns them into coordinated intelligence.
Ingest signals from meetings, emails, WhatsApp, project systems, documents and external sources.
Agents interpret risks, delays, opportunities, dependencies, decisions and consequences.
The system proposes options, implications and next actions — not just answers.
The right people are notified at the right time through the right channel.
Feedback refines future recommendations, decisions and detection thresholds.
Eight composable capabilities. One coordinated cognition layer.
Captures discussions, decisions, risks, actions and implications from meetings — without manual note-taking.
Detects emerging risks, dependencies, delays and escalation needs — before they hit the steering committee.
Tracks decisions, rationale, ownership, impact and follow-through across the organisation.
Connects execution to strategic outcomes, capacity, cost, timelines and benefits.
Generates options, trade-offs, impacts and recommended next steps — ready for human approval.
Signals from email, WhatsApp, meetings, files, project tools and external context — all in one fabric.
Gives leadership a live view of what matters, what is changing, and what needs intervention.
AI recommends and routes, but humans remain accountable for approval, decisions and governance.
Chatbots wait for prompts. Dashboards show what has already been structured. Project tools track tasks. ENS connects signals, understands context, reasons through implications and recommends action — continuously.
| Traditional Tools | AI Chatbots | Enterprise Nervous System | |
|---|---|---|---|
| Input model | Manual data entry, forms, dashboards | Single prompt, single user | Multi-channel signals, continuous ingestion |
| Intelligence model | Reporting on structured data | Generative answers to questions | Multi-agent reasoning across context and history |
| Timing | Periodic, after-the-fact | On request | Continuous, proactive, real-time |
| Scope | Function-specific silos | Conversation-bounded | Cross-functional, portfolio-wide |
| Action orientation | Static records | Answers — not actions | Routed recommendations with options and impact |
| Executive value | Reports to read | Productivity for individuals | Organisational cognition for the enterprise |
ENS is not a copilot. It is an organisational intelligence layer.
Delivery management is one application of ENS. It is not the boundary of what an Enterprise Nervous System is for.
Connect strategic intent to execution across change initiatives, capabilities and benefits.
Real-time visibility across complex multi-vendor, multi-track programmes.
Synthesised intelligence, options and trade-offs — ready for the C-suite.
Detect, classify and route emerging risks to the right owner before they escalate.
Turn every conversation into linked decisions, actions and follow-ups — automatically.
Continuous status, capacity, dependency and benefit intelligence across the portfolio.
Surface weak signals across operations, finance, customer and delivery — before they compound.
Audit-ready intelligence with full traceability of signals, decisions and recommendations.
A critical dependency is mentioned in a meeting. ENS detects that the dependency affects three programmes, creates an issue, identifies accountable owners, estimates possible schedule and cost impact, proposes options, and alerts the relevant executives before the next steering committee.
Six layers, one nervous system. Each layer can be governed, audited and extended.
Gmail, Outlook, Teams, Zoom, Google Meet, WhatsApp, project tools, documents, spreadsheets, APIs.
Meeting transcripts, emails, messages, documents and project data, classified and contextualised.
Meeting, risk, decision, action, portfolio, recommendation and executive intelligence agents.
Decision history, lessons learned, project history and user feedback — the long memory of the enterprise.
Permissions, approvals, audit trails and human-in-the-loop — auditable by design.
Dashboards, alerts, recommendations, reports, emails, WhatsApp notifications, executive briefings.
The first wave of enterprise AI made individuals more productive. It answered questions, drafted documents, and summarised meetings. That was useful — but it kept the organisation reactive.
The next wave is different. It senses what is happening across the enterprise. It reasons about consequences. It recommends action. It learns from feedback. It moves AI from passive assistant to active enterprise sensing, reasoning and recommendation.
An Enterprise Nervous System is not a feature inside another product. It is an emerging model for how the enterprise itself becomes intelligent.
Tell us about your organisation and what you'd like ENS to sense, reason about and recommend. We'll come back with a tailored walkthrough.