01All three
Shared customer graph
One contact record holds video and live-stream engagement, every conversation across every channel, and the account's retainer entitlements. Any module opens the same customer.
Architecture
One operating system, not three products
Reach, Relay and Run are specialized business modules. LGQ / LoGiQu is the intelligence layer above and between them, connecting their data, context, decisions and actions into one continuous business operating system.
REACH RELAY RUN
REVENUE / DEMAND CUSTOMER / SERVICE OPERATIONS / DELIVERY
──────────────── ────────────────── ─────────────────────
Attract Communicate Plan
-> Engage -> Understand -> Deliver
-> Convert -> Resolve -> Account
| | ^
+------------> v <---------+ |
┌─────────────┐ |
│ LGQ │--------------------------+
│ LOGIQU │
│ INTELLIGENCE│
│ │
│ Understand │
│ Reason │
│ Decide │
│ Orchestrate │
└─────────────┘
|
============ UNIFIED CUSTOMER + BUSINESS GRAPH ============Seven connections
What actually flows between the modules
02Relay → Run
Conversation → work
An unresolved ticket escalates into a task with priority, assignee and due date. Time logged against it burns retainer hours automatically and appears in the client portal.
03Reach → Relay
Engagement → conversation
A live-stream drop-off, an abandoned cart or a stalled product question triggers a Relay AI agent to reach out on the customer's preferred channel.
04Run ← All
Delivery → revenue proof
Reach's attributed revenue and Relay's deflection savings roll into the same client-facing report as delivered hours, turning utilisation into an ROI story.
05LGQ → All
Intelligence → action
LGQ continuously analyses Reach, Relay and Run data, identifies risks and opportunities, recommends the next best action and triggers the module that executes it — then measures the result.
06LGQ
One reasoning brain
Catalog, policies, past tickets and account terms sit in one knowledge base powering the shopping agent, the support agent and the reporting summariser — so answers never contradict.
07Shared
Unified command center
Revenue, resolution and utilisation on one screen, with per-account drill-down showing all three streams on a single timeline.
One screen
Everything above, rendered as a single command center
Command center — Acme Beauty Co.
Last 30 days Attributed revenue
$85k
+31% vs last month
AI resolution rate
78%
6,140 conversations
Retainer utilisation
62%
23 hrs available
Live2,418 watching
Isabelle · Skincare drop
63
Items sold
40%
Engagement
$118
AOV
“Help me find a lightweight moisturiser”
Conversations12 unassigned
- AAvery MaxwellOrder status enquiryWhatsApp
- EElin PatelCannot log inEmail
- LLinnea LundMissing saved dataWeb chat
AI agent
Resolved 41 of 53 conversations today · avg. first reply 8s
Agreement
136 hrs/mo
Spent
Projected
Rollover
Ticket #4821 → Task2.5 hrs billed
Escalated from Relay · assigned to Priya · due 04/18
One customer timeline:watched live drop asked on WhatsApp escalated to task hours billed & reported
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