AI Companion

Work, understood and actioned.

AI should not sit outside your work. It should understand conversations, capture intent, and help complete tasks as they happen.

Across meetings, calls, and messages — embedded where the work happens, not in another tab.

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The challenge

Most of the work happens in the conversation. Most of the value is lost after it.

Decisions get made. Commitments get spoken. Then everyone goes back to typing notes, copying detail, and reconstructing what already happened.

This is not a tooling problem. It is a placement problem.

Where it shows up
  • 01
    Lost context.
    Conversations end and the detail goes with them. Decisions are remade from memory.
  • 02
    Manual note-taking.
    Time is spent capturing what was said instead of acting on it.
  • 03
    Missed actions.
    Commitments live in heads and inboxes — not in systems that drive follow-through.
  • 04
    Fragmented systems.
    Meetings, calls, and messages each leave separate trails that never join up.
  • 05
    AI as separate tools.
    AI lives outside the work — another tab to open, another step to remember.
The shift

From AI as a separate tool, to AI embedded in the work.

Old · Adjacent

AI as a separate tool.

Another tab. Another login. Another step. Used after the work, not during it.

Outside the workflow
New · Embedded

AI inside the workflow.

Live in the meeting, the call, and the message. Capturing context and starting the work as the conversation happens.

Inside the workflow
Where it fits

A real-time productivity layer — not a replacement.

AI Companion sits alongside the broader AI portfolio — focused on the moment of conversation, while other capabilities address the deeper work around it.

This page

AI Companion

Real-time productivity inside meetings, calls, and messages.

Alongside

Custom AI

Bespoke models and assistants built around proprietary data and workflows.

Alongside

Workflow Automation

Repeatable, rule-driven processes that move work between systems without intervention.

Alongside

Conversation Intelligence

Pattern analysis across recorded interactions to inform coaching, compliance, and strategy.

What it enables

Conversations turned into structured outcomes.

  • Summaries
    Every conversation distilled into a clear, structured record.
  • Action capture
    Commitments and next steps surfaced as the conversation happens.
  • Reduced admin
    Fewer notes, fewer recaps, fewer status updates after the fact.
  • Faster execution
    Outcomes move forward in the same window the conversation closes.
  • Continuity
    Context carries from meeting to call to message without restarting.
AI in practice

The same companion. Three working contexts.

The capability adapts to where it is placed. The value comes from understanding the conversation it is sitting in.

Context

Voice & Telephony

How it works

Embedded into calling and softphone environments, the companion listens with consent, transcribes, and structures the conversation in real time. Numbers, names, and commitments are captured against the right contact.

Impact

Agents and knowledge workers leave every call with a written record, surfaced actions, and a clear handover — without typing a word.

AI-powered dashboards

The operational intelligence layer.

Conversation outputs become a live data layer the rest of the business can read, route, and act on.

Not another dashboard. A signal layer underneath the ones you already use.

  • APIs

    Direct programmatic access to conversation data, transcripts, and structured outputs.

  • Webhooks

    Event-driven triggers that move outcomes into CRM, ITSM, and operational systems.

  • Real-time data

    Live signal flow across teams, channels, and conversations as they occur.

  • AI insights

    Pattern, sentiment, and intent surfaced as operational intelligence — not buried in transcripts.

Who it serves

Different roles. The same conversation.

For End Users

End Users

Get the meeting back. Stop typing notes. Walk away with the work already started.

For Operations & IT

Operations & IT

Govern AI placement, data flow, and integration without managing another isolated tool.

For Leadership

Leadership

See how the organisation actually communicates — and where decisions are made or missed.

Where it applies

Different industries. Different conversations. The same operational gap.

AI Companion creates value when capture, structured outputs, and system handoff are tailored to the workflow.

Industry - Utilities

Capture regulated customer and field conversations so service work moves forward with structure and control.

  • 01
    Conversation capture
    Record service, complaint, DNC, outage, and field-to-back-office conversations with the context intact.
  • 02
    Structured outputs
    Turn conversations into complaint categories, service notes, actions, and evidence teams can use.
  • 03
    System handoff
    Move structured outcomes into CRM, case, field, and compliance workflows without retyping.
The complexity

The technology itself is rarely the biggest challenge. Operational alignment is.

Embedded AI is straightforward to switch on. Making it useful — and trusted — is where most deployments either succeed or quietly fail.

01

Context gaps

Out-of-the-box AI rarely understands your terminology, your customers, or your processes. The output is generic when it needs to be specific.

02

Integration challenges

Capturing the conversation is only half the work. Moving structured outputs into the systems where work actually happens is where most deployments stall.

03

Workflow misalignment

AI placed at the wrong point in a workflow creates noise, not value. The decision of where it sits matters more than the model itself.

The advisor layer

Technology alone is not enough. How it is applied determines its value.

We sit between the capability and the workflow — placing AI where it earns its keep, integrating it into the systems you already run, and designing for adoption from day one.

AI placement advisor. Integration specialist. Workflow designer.

  • 01
    Identify where AI assistance creates measurable workflow impact
  • 02
    Design integration into voice, CX, and collaboration platforms
  • 03
    Align AI outputs with how teams actually operate
  • 04
    Govern data flow, consent, and retention by design
  • 05
    Drive adoption so the capability is used, not just deployed
Business impact

Conversation as a business asset.

When AI is placed inside the workflow rather than beside it, the impact compounds across operations.

Outcome 01

Productivity

Hours returned to the people doing the work, not redirected into admin.

Outcome 02

Visibility

A clear record of what was said, agreed, and committed — across every channel.

Outcome 03

Consistency

The same standard of capture and follow-through, regardless of who is in the room.

Outcome 04

Efficiency

Outcomes initiated in the conversation, not deferred to the next working day.

The next step

AI should not create more work. It should remove the work that should not exist.

We help you decide where embedded AI earns its place — and design the workflow around it.

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