LGQ / LoGiQu — Intelligence

Business intelligence. Reasoning. Action.

LGQ is not a fourth product. It is the intelligence, reasoning and orchestration layer connecting Reach, Relay and Run — turning what the business knows into what the business does next.

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
LGQ Core — live

Ask the intelligence layer

LGQ Core reasons across Reach, Relay and Run, then names the module that should act.

LGQ Core

Business intelligence. Reasoning. Action.

Ask about revenue, customers or delivery. LGQ Core reasons across Reach, Relay and Run and tells you which module should act.

Try asking

  • Conversion on our live shopping dropped 12% this week — what should we do?
  • Turn this week's unresolved Relay tickets into a Run delivery plan.
  • Which accounts are at risk of burning their retainer early?
  • Explain how Reach, Relay and Run share one customer graph.
What LGQ answers

From signal to decision to executed work

01

What is happening?

Signals from every module, normalised onto one customer and business graph.

02

Why does it matter?

Causal reasoning across revenue, conversations and delivery — not isolated charts.

03

What should we do?

A ranked next-best action with the evidence that produced it.

04

Can we act on it?

One click orchestrates Reach, Relay or Run to execute the work.

The LGQ loop

Context → Reason → Decide → Act → Measure → Learn

Every executed action returns as evidence. The system gets sharper with each cycle.

  1. Step 1

    Context

  2. Step 2

    Reason

  3. Step 3

    Decide

  4. Step 4

    Act

  5. Step 5

    Measure

  6. Step 6

    Learn

Intelligence → Action

One chain, four modules, one measured outcome

LGQ continuously analyses Reach, Relay and Run data, identifies risks and opportunities, recommends the next best action and triggers the module that can do it.

Reach detects declining conversion

Step 1

LGQ identifies the likely cause

Step 2

Relay contacts affected customers

Step 3

Run creates operational work

Step 4

LGQ measures the result

Step 5

LGQ is not…

  • Just a chatbot
  • Just analytics
  • Just a dashboard
  • Just a CRM
  • Just an AI agent

LGQ is…

Business intelligence, reasoning and orchestration — the layer that sits above and between the modules, holding the whole business context and deciding what happens next.

Revenue

LGQ Reach

Customer

LGQ Relay

Operations

LGQ Run

See LGQ reason across your own data