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CONVERSATIONAL AIService

Conversational Bots & Multi-Agent Systems

Engage customers and enable teams with text/audio experiences that actually get work done.

  • 3.5k calls handled per month
  • <2s median response
  • 30% reduction in labour time
Service details

Agents that finish the job, not just answer

Most “AI agents” stop at a suggestion someone still has to act on. Ours read the request, look up the record, take the action in your systems, and hand off cleanly when unsure. Every step is logged and reviewable.

Task completion

Agents call your systems and complete the request, rather than deflecting it.

Multi-agent routing

Specialised agents hand off with shared context instead of restarting the conversation.

Voice and chat

One behaviour layer serving both channels, so answers never diverge.

Guardrails

Scope, tone and escalation rules enforced and testable, not left to the prompt.

Graceful escalation

When a human is needed, they arrive with the full transcript and context.

Conversation analytics

Where agents succeed, stall or get overridden, broken down by intent.

Every action traceable to a decision

Every action traceable to a decision

The review console shows what the agent saw, what it decided and why, and lets a teammate approve, edit or roll back. Overrides feed straight back into the evaluation suite.

  • Full decision log, exportable for audits
  • Per-step confidence and escalation rules
  • Scoped permissions per tool and system
How we work

How we work

Fixed-scope engagement. You see a working agent on real cases by week three.

  1. WEEK 1

    Script the reality

    We start from real transcripts, not an idealised happy path.

  2. WEEKS 2-3

    Build the spine

    One intent completed end to end, including the system calls behind it.

  3. WEEKS 4-5

    Harden

    Guardrails, escalation and failure modes tested against recorded traffic.

  4. WEEK 6

    Expand

    Intents added in order of volume, each measured before the next.

FAQ

FAQs

Something else? Ask us directly →

How is this different from a chatbot?

A chatbot answers. These agents execute — they call your systems, complete the task and confirm the result.

What happens when the agent cannot help?

It escalates to a person with the full transcript and context attached, so the customer never repeats themselves.

Can it work on phone as well as chat?

Yes. Both channels run off the same behaviour layer, so the answers and the guardrails stay identical.

How do you stop it going off-script?

Scope and tone are enforced by guardrails that are tested against recorded traffic, not left to prompt wording.

Would an agent actually close your loop?

Send us the intent you handle most. We will tell you whether an agent can complete it end to end.

Find out in 20 seconds