COSOLUTION AEGISWISE
AI Customer Service · Multi-Channel · Measurable

You plugged ChatGPT into your support.
How many tickets did it close today? How many right?
How much did it burn?

COSOLUTION AEGISWISE
"AI Customer Service. Finally, With KPIs."

Multi-channel inbox, AI agents, knowledge base, ticketing & KPI review — all in one operations console.
Your AI service is now measurable, closed-loop, and ROI-accountable.

Sample Dashboard platform preview
AI Self-Service
73.1%
▲ +5.2pt
Avg First Response
1m 36s
live
Monthly Token Cost
$52.40
▼ -3.1%
Customer Confirm Rate
88.4%
▲ closed-loop

* Sample dashboard data. After deployment, dashboards are generated from your own channels, team size, and model choices.

ROI MATH · Typical-Scenario Estimate

Why do most AI customer service projects
get killed within 6 months?

Not because AI fails. Because the math is opaque. The boss has no idea how much you burned, how many tickets you answered, how many people you saved. Math you can't show, budget you can't keep. AegisWise's first job is to make the math visible.

Today (a 3–5 person support team)

3 agents × ~$700
+ black-box AI cost
+ missed / dropped tickets
+ manager review hours
≈ $2.2k – $3k / mo

With AegisWise (closed loop)

1 supervisor × ~$850
+ token + ticketing
+ auto-generated KPIs
+ AI night-shift coverage
≈ $850 – $1,150 / mo
COST DOWN
48–70%
Monthly Operating Cost
OUTPUT UP
2–3×
Per-Person Productivity
PAYBACK
1–3 mo
Time to Recoup
Self-service rate, first response time, token spend — all in one KPI view. Your boss can finally do the math.

* Typical-scenario estimate, not specific customer data. Exact numbers depend on your team size, SOP complexity, and chosen models — we'll give you a precise quote and payback timeline in a 30-minute call.

PAIN CHECK · Self-Diagnostic

5 holes. Your support team
is likely hitting at least 3.

01
Telegram, WhatsApp, in-app chat, web widget — customers scattered across N windows. Agents drown switching between them.
RING A BELL?
02
FAQs and SOPs change, no one syncs the front line. Agent answers drift further from the source every week.
RING A BELL?
03
AI hands off to a human and context vanishes. The customer repeats themselves. Complaints follow.
RING A BELL?
04
"Did we answer that well?" is judged by manager spot-checks. No data, no dashboard — all gut.
RING A BELL?
05
Where tokens went, whether productivity actually improved, how many agents AI really replaced — ROI is unknowable.
RING A BELL?
CORE VALUE · 3 Visible Wins

Not another chatbot.
An AI service you can actually operate.

🤖

AI Handling Catches

Unified multi-channel workspace + AI agents + RAG knowledge base. Common questions AI answers first. Complex scenarios hand off in seconds, full context preserved.

🎫

Ticketing Closes

Assign / follow up / customer-confirm / close / reopen. Every unfinished promise has an owner and an SLA. No more dropped tickets.

📊

KPI Review Adds Up

Self-service rate, escalation rate, tokens, cost, first response time — one screen, all of it. The boss can finally answer: is AI working here or not?

CLOSED LOOP · 6-Step Business Cycle

From "message in"
to "review out" — all six steps wired.

STEP 01
Channel Intake

Telegram / WhatsApp / web / native unified — one workspace, any channel.

STEP 02
Live Conversation

AI handling + human takeover on the same screen, full context passed through.

STEP 03
AI Agents

Models / prompts / global policy in one config, bindable per channel.

STEP 04
Knowledge Base

Product / aftersales / SOP via RAG — every answer traceable to source.

STEP 05
Ticket Workflow

Assign / SLA / customer confirm / close — every promise lands.

STEP 06
KPI Review

Self-service / escalation / cost / productivity — continuous tuning.

EIGHT CAPABILITIES · The Core

Each one maps to
real money you're losing right now.

01 — MULTI-CHANNEL INTAKE

One workspace, all your customers

Telegram, WhatsApp, web chat, in-app, social — same interface. Agents stop switching windows. Adding a channel is configuration, not engineering.

02 — LIVE CONVERSATION DESK

AI + human, same screen, context intact

AI mid-answer → human takes over → agent sees the full thread. The customer never has to repeat themselves.

03 — AI AGENT CONFIG

Models / tone / channel bindings

Each agent has its own model, prompt, escalation rules. Support flow becomes standardized. New hires productive in 3 days.

04 — KNOWLEDGE BASE (RAG)

Cite-on-hit, traceable answers

Every AI reply points to the source document. Wrong answers can be traced. Right answers can be reused. Knowledge updates apply instantly.

05 — TICKETING WORKFLOW

5-state loop + SLA + customer confirm

New / In Progress / Awaiting Confirm / Closed / Reopened. Every ticket has an owner, a deadline, and a confirmation. Promises don't slip.

06 — KPI DASHBOARD

One screen, every critical metric

Self-service rate, first response, token cost, productivity — everything the boss, the manager, and operations need, in one view.

07 — UNIFIED ADMIN

Channels / agents / permissions in one place

Multi-account, multi-channel, multi-role permissions centrally managed. Doesn't break at scale.

08 — STAGED ROLLOUT

1-2 weeks to intake, 2-4 to handling

FOUNDATION → ACTIVATION → OPTIMIZATION. Visible deliverables every week. Not a 6-month black hole.

📈
Self-Service · Measurable
AI vs human, second-by-second
First Response · Minute-Level
AI handling + human takeover
💰
Token · Transparent Billing
By conversation, by model, by usage
🔒
SaaS / Self-Hosted
Data & compliance, your call

30 minutes to give
your AI support its first real KPIs.

We don't sell "AI is the future." We deconstruct your current support flow live: which step AI can take, which must stay human, how much token you'll burn, how many seats you can collapse.

  • Live remote demo on your actual scenario — not a deck.
  • On-the-spot math: current cost → with AegisWise → payback in months.
  • Straight answer at the end. If it doesn't fit, no follow-up spam.
Direct Channels

Pick what you prefer →

TELEGRAM @johnjohor EMAIL john@cosolution.cc
⏱ Replies within 1 hour during business hours. Overnight / weekends — next morning.
🔒 All conversations confidential. NDA available on request.
FAQ · 5 Common Questions

Likely the 5 things
you want to know before reaching out.

We already wired ChatGPT into our support. Isn't AegisWise duplicate spend?
ChatGPT is the model. AegisWise is the operations platform. Your ChatGPT is a black box: you don't know what it answered, whether it was right, or what it cost. AegisWise sits on top of ChatGPT and adds knowledge base, tickets, KPIs, escalation, dashboards — not replacing the model, but actually operating it.
Which LLMs are supported? OpenAI / open-source / self-hosted?
All of them. In the agent config, pick OpenAI / Claude / Gemini / DeepSeek / Qwen / Wenxin / self-hosted LLaMA. Bind different models per channel and per use case. Token costs are calculated live based on the model you picked.
How long to deploy? Our support workflow is complex.
Three standard stages: FOUNDATION (1-2 weeks) — channels onboarded, knowledge imported, agent permissions. ACTIVATION (2-4 weeks) — AI agents go live, escalation rules set. OPTIMIZATION (ongoing) — KPI tracking, weekly/monthly review. We run alongside you through the first two stages for complex businesses.
Pricing? Per-message, per-seat?
Platform monthly fee + actual token consumption. Platform fee covers all features, unlimited agents, unlimited channels. Tokens billed by your chosen model based on real usage (typical mid-size team: ~$50-100 / month). 30-minute call gets you a concrete number.
Data security? Will you see our customer conversations?
Two options: SaaS standard (our infrastructure + encrypted storage + isolated tenant per customer) or self-hosted (deployed on your servers, keys held by you, zero vendor backend access). High-sensitivity industries all go self-hosted. Any ops action requires your authorization, with bastion-host video logs available for audit.

AI customer service shouldn't be a toy.
It should be a service asset that reports back every month.

30 minutes. Let's make the math visible.

▶ Chat on Telegram · @johnjohor