Sales24 for large organizations

Customer operations that scale without scaling headcount

One AI workforce across every channel, with your team in control of what goes out.

Sales24 by Datacode

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01 The pressure

Volume grows faster than any team can be hired

Each new channel and campaign adds conversations. Hiring to match adds cost every month.

Sales24 by Datacode

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02 The idea

Automate the routine. Keep people for the exceptions.

Sales24 answers, qualifies and follows up across every channel, under rules you set.

Routine

Answered at once

Order status, hours, prices and policies go out without waiting.

Uncertain

Drafted, then approved

New situations and edge cases wait for a person to confirm.

Sensitive

Handled by your team

Complaints, disputes and escalations arrive with full history.

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03 See it work

One conversation, end to end

Customer asks, the AI drafts, a person approves, the follow-up is booked.

Sales24 by Datacode

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04 How it works

Every message passes the same gate

The AI sends only what clears your threshold. The rest waits for a person.

Sales24 by Datacode

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05 Channels

Every channel, one conversation history

Customers stay on the apps they already use. Your team works from a single inbox.

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06 Control

Autonomy is earned, not assumed

Start with every reply approved. Raise the threshold only when your own results support it.

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07 Learning

It learns from your team’s decisions

Only human verified outcomes teach the AI. It never retrains a model and never rewrites its own base instructions.

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08 Your data

It answers from your facts, not guesses

Three sources ground every reply, and the AI can only read what you connect.

Your knowledge base

Policies, product data and FAQs, searched by meaning, so the wording does not have to match.

Your systems, read only

Order status, stock and delivery come live from your own APIs, through tools you define.

Known customers

Customers are identified before account data is used. What they see is filtered, and a person approves the reply.

Sales24 by Datacode

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09 Enterprise

Built for many teams, brands and sites

Isolated workspaces

Every record is scoped to its workspace, and database rules deny cross access.

Roles and access rules

Owner, admin, manager and agent roles, narrowed further by rule per section.

A person has the last word

Hard approval floors keep sensitive replies from sending on their own.

One agent per brand

Each brand or channel gets its own agent, prompt and knowledge base.

Three languages

Arabic, Kurdish Sorani and English, including transcribed voice notes.

Metered, not open ended

Prepaid credits and per conversation plans, with usage visible per workspace.

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10 Dedicated edition

Separate from everyone else, current with the product

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11 Quality

Quality is measured, not assumed

APPROVALS

What your team does with drafts

Sent unchanged, edited, rejected or replaced, tracked over 30 days for each agent.

ANALYTICS

Volume, speed and resolution

Conversation volume, AI handling rate, response time and resolution rate on one page.

AUDIT

Every AI conversation graded

A repeatable review against a 17 point rubric finds the root cause of weak replies.

TRIPWIRES

Automatic reply checks

Stacked questions, length, language mismatch and unanswered endings are flagged.

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12 The model

What capacity looks like

A worked example. In the pilot we replace every input with your own figures.

Example inputs: 10,000 interactions a month, calls included; one person handles 1,500 a month today; AI drafts double that; in the third column the AI fully resolves 70% of volume. An illustration, not a forecast.

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13 The path

A phased path with a decision at every step

No big bang. Each phase ends with evidence you can review.

PHASE 1

Connect

One channel, your knowledge base and read only access to the systems that matter.

PHASE 2

Review mode

Every reply approved by your team. We measure what is sent unchanged.

PHASE 3

Selective autonomy

Raise the threshold for low risk topics, backed by your own approval history.

PHASE 4

Scale out

More channels, sites and voice. Team size adjusts through attrition and redeployment.

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14 Next step

Start with a pilot on one channel

What we need from you

  • Your top 20 customer questions and their volumes
  • The channels and languages in scope
  • Policies and product data for the knowledge base
  • The systems the AI should read, with API access
  • Who approves replies and who owns exceptions

Proposed first step

A review mode pilot

Nothing sends without your team’s approval. You see the results before any scope widens.

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