One AI business operating system

Business intelligence. Reasoning. Action.

LGQ / LoGiQu is the intelligence layer connecting three business modules — Reach for revenue, Relay for customers, Run for operations. It sees the signal, explains the cause, decides the next best action and runs it.

Attract → Understand → Decide → Deliver → Measure

Operator reviewing an LGQ recommendation across revenue, customer and operations data

Signal · Reach

-18%

Conversion on the spring drop, last 7 days

LGQ insight

Checkout failures on mobile are the likely cause. 27 customers affected, 9 already in the inbox.

Recommended action

Relay contacts affected customers · Run opens a P1 fix task

Execute

Outcome

+$42k

recovered revenue · 14 hrs of work

RakutenNCRmonday.comMetaDropboxGumroad
The problem

Your customer journey is fragmented.

Demand lives in one tool, conversations in another, delivery in a third — and nothing reasons across them. LoGiQu runs them as connected stages of one business journey.

Reach

Create demand.

Relay

Understand and serve customers.

Run

Deliver the work.

LGQ

Understand everything and decide what happens next.

Underneath all four sits a single unified customer + business graph — one record of every person, conversation, hour and outcome.

Specialized modules

Three modules. One operating system.

Not three SaaS products stitched together — specialized surfaces on shared data, context and intelligence.

Revenue

LGQ Reach

Attract → Engage → Convert

Create demand.

  • Shoppable & interactive video
  • Live-stream shopping with multi-host
  • AI shopping agents that close
  • Real-time conversion tracking
Customer

LGQ Relay

Communicate → Understand → Resolve

Understand and serve customers.

  • Omnichannel inbox: WhatsApp, email, chat
  • AI agents resolving 24/7
  • Smart routing and assignment
  • Full customer context on every ticket
Operations

LGQ Run

Plan → Deliver → Account

Deliver the work.

  • Tasks, projects and team capacity
  • Retainer hours: spent, projected, rollover
  • Asana, Monday, Trello, ClickUp sync
  • Client portals and accountability reporting
Intelligence

LGQ / LoGiQu

Understand → Reason → Decide → Orchestrate

The intelligence, reasoning and orchestration layer connecting the three business modules — above and between them, never competing with them.

Explore Intelligence
  • What is happening?
  • Why does it matter?
  • What should we do?
  • Can we act on it?
The connective tissue

A signal becomes a decision. A decision becomes work.

The modules aren't bundled — they're wired, and LGQ reasons across all of them.

  1. 01

    Unified customer + business graph

    One record carries engagement, every conversation, hours, entitlements and outcomes.

  2. 02

    Conversation → work

    An unresolved Relay ticket becomes a Run task, burning hours against the retainer.

  3. 03

    Engagement → outreach

    A live-stream drop-off or abandoned cart triggers a Relay AI agent on WhatsApp.

  4. 04

    Delivery → ROI proof

    Revenue attribution and deflection savings roll into one client-facing report.

  5. 05

    Intelligence → action

    LGQ finds the risk or opportunity, recommends the next best action and triggers the right module.

See the full architecture
Unified command center

What matters right now?

Revenue, customer, operations and LGQ intelligence on one home screen — with the reasoning behind every recommendation and a button to execute it.

LGQ — What needs your attention?

Context → Reason → Decide → Act
HIGH PRIORITY LGQ

Payment issue affecting 27 customers

Why it matters
Failed checkouts on the live drop are suppressing conversion and will surface as tickets within 24h.
Evidence
Reach: 27 failed payments · Relay: 9 related conversations · Run: no owner assigned
Recommended action
Notify affected customers via Relay and open a P1 fix task in Run
MEDIUM LGQ

Acme approaching retainer capacity

Why it matters
At the current burn rate Acme exceeds its 136 hrs on day 24, triggering an unbudgeted overage.
Evidence
Run: 62% used on day 14 · 11 escalations from Relay this month
Recommended action
Draft a capacity note to the client and propose a scope adjustment
OPPORTUNITY LGQ

3 customers showing expansion signals

Why it matters
Repeat high-intent engagement plus zero open issues is the strongest expansion predictor in your data.
Evidence
Reach: 4+ sessions each · Relay: CSAT 4.8 · Run: 100% on-time delivery
Recommended action
Queue an expansion outreach sequence in Relay with the ROI report attached
Command center — Acme Beauty Co.
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

On track
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

80%

reduction in manual communication

2–4x

higher engagement than point tools

40%

increase in customer retention

Luke Lewis

Founder, Lumen Agency

$85k

monthly retained revenue

“We were running a video tool, a helpdesk and a spreadsheet of hours. LoGiQu collapsed all three — and LGQ tells us every morning what actually needs attention, with the reasoning attached.”

Luke Lewis · Founder, Lumen Agency

Run revenue, customers and operations as one intelligent system

See Reach, Relay, Run and LGQ working on the same customer in a 30-minute walkthrough.