SAGE

Fast first replies without sounding robotic.

SAGE reads new customer messages, answers the simple stuff quickly, routes the messy stuff safely, and leaves a visible queue so nothing just sits there. It is not here to bluff. It is here to shorten response time, keep tone tight, and escalate properly when the answer needs a human.

Start with the repetitive inbox work. Hold the risky stuff on purpose.

47s first response 62% handled without human chase 100% flagged risk keywords routed
What SAGE handles well

The honest page wins.

Start with the repetitive messages teams are bored of answering, not the edge cases nobody should automate.

Filter the queue by clicking a lane above.
What gets held immediately

Trust comes from the stop rules.

Complaints, refunds, clinical keywords, policy exceptions and anything outside the approved answer base should stop and route.

No guessing. No fake certainty. No “AI has decided” nonsense.
incomingNew message
heldRule boundary hit
escalatedOwner review
Fast does not mean off-brand

Use the business's real answers, voice and red lines.

SAGE should sound like the business, not like a generic bot with a help-centre fetish.

Approved answers

Use the real FAQs, booking rules, address wording and next-step language the team already trusts.

Brand tone

Friendly, direct, formal, premium or clinical — whichever is true for the business.

Red lines

No pretending to know what it does not know. No fake confidence where a human should step in.

One queue across the channels that matter

Customers do not care which inbox the message landed in.

Email, WhatsApp, web chat, social messages, booking forms and internal handoff summaries can still follow one visible operating model.

Email

How the queue moves

Catch, classify, answer if safe, hold if not, log everything.

The useful part is not the reply in isolation. It is the visible queue state after the reply.

Step 1

Message arrives

Inbox, chat, form or DM lands in the queue.

Step 2

Intent and risk checked

Channel, topic and red-flag wording are matched first.

Step 3

Approved answer pulled

If the answer is safe, the system uses approved wording.

Step 4

Reply sent or hold triggered

Safe cases move fast. Risky cases stop on purpose.

Step 5

Summary logged

The team sees what happened, what held and what still needs a person.

Different sectors need different hold rules

The same queue should behave differently by sector.

That is how the page stops feeling generic.

Dental

Simple starting points

Launch approval-led if you want. Widen only after the queue earns trust.

First Reply

from £299/mo

Fast first replies, FAQ handling and basic queue visibility.

Service Desk Stack

from £999/mo

Broader workflow setup, approvals and cross-channel coordination.

Need sales replies, cash chasing or bookings as well? Bundle SAGE into a wider Agent Networks stack.

FAQ

Short honest answers.

Will this sound like a chatbot?

Not if the approved answers and tone rules are set properly.

Can it answer everything automatically?

No, and it should not.

What happens with complaints?

Held and routed.

Can it work on WhatsApp as well as email?

Yes, where the workflow and permissions are set correctly.

Can we review replies first?

Yes. Approval-led launch is a normal starting point.

Does it log what it did?

Yes. Every message should leave a visible queue state and summary.

Give us one inbox queue first.

We will show what SAGE answers, what it holds, how it sounds, and what the team still owns before anything wider goes live.

First repliesFAQ handlingHold statesEscalation routing
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