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Sustainable Gaps

Built by Sustainable Gaps

Find relevant opportunities before they reach your CRM.

Before an opportunity reaches your CRM, Signal Engine monitors selected public sources, preserves evidence, applies your criteria, and prepares each source-backed opportunity for human review.

Public-source monitoringEvidence preservedHuman decision before action

Signal Engine Command

Complete view
Preview of the complete Signal Engine Command tab using demonstration data

Complete Command tab. Demonstration data shown.

Operating proof

See what the system does before judging the dashboard.

Each view answers an operating question. The interface shows scoring and work; the description explains the inputs, decision, and foundation.

Review queue triage
Signal Engine review queue separating monitored, out-of-scope, research, outreach, and urgent-review records

Review lanes

Keep research, monitoring, and action from becoming one undifferentiated list.

Signal Engine separates research from action so low-priority patterns remain available and approved records stay visible for human review.

Aggregate operating capture from August 22, 2026. No contact or client records are shown.

Illustrative weekly workload

Model - not a quote

A short list can hide almost 25 hours of weekly research and review.

Apply this to your team

Enter staff, daily time, and pay. Nothing is saved.

24 h 56 m

workload represented by one illustrative weekly cycle

1,247 h

annual reference at 50 comparable weeks

12
public sources
80
items reviewed
12
leads prepared

How the time builds

Check selected public sources
12 public sources x 5 checks x 10 minutes
10 h
Research possible opportunities
80 possible opportunities x 6 minutes
8 h
Apply the review criteria
80 possible opportunities x 4 minutes
5 h 20 m
Prepare reviewed leads
12 reviewed leads x 8 minutes
1 h 36 m

This is a workload baseline, not a cost-reduction estimate. It does not mean every hour disappears. Human review, judgment, and relationship decisions remain necessary.

A source is a page SG monitors. A possible opportunity is an item found there; it becomes a lead after research and human review.

Command map and source activity
Signal Engine geographic intelligence showing a demonstration map, source activity, and score distribution

Complete Command demonstration cropped to its map and activity region.

Geographic intelligence

See where relevant activity is concentrating and what is driving the pattern.

Purpose
Show where relevant activity is concentrating and how the pattern is changing.
Inputs
State, region, source, organization, score, and collection time.
Decision
Where should the team investigate, compare, or allocate attention next?
Foundation
Every aggregate view is connected to the source-backed records beneath it.
CRM collection workbench
Signal Engine CRM collection workbench showing evidence review, contact research, promotion readiness, and work assignment controls

Operating capture from August 22, 2026. Aggregate workflow status only; no contact details are shown.

Controlled follow-through

Turn approved intelligence into owned work without promoting incomplete records.

Purpose
Move qualified intelligence into responsible, visible follow-through.
Inputs
Approved signal, source trail, contact research, responsibility, due date, and next action.
Decision
Who follows up, what must happen, and when is the record ready to move?
Foundation
Azure SQL remains the governed record while CRM, Power BI, and Teams use controlled views.

Configured around the client

Wire the framework to the business model, not the business to a fixed dashboard.

Signal Engine can be configured around the client's market, decisions, responsibilities, and technology. The interface changes with the use case; evidence, human approval, governed records, and client ownership remain foundational.

Sources
Public and approved internal sources.
Decision criteria
Fit, timing, evidence, risk, and readiness.
Review lanes
Research, monitor, approve, hold, or stop.
Working systems
Client-approved CRM, Power BI, Teams, SharePoint, and Planner.
Governed product architecture
Signal Engine governed operating path from selected sources through human review and Azure SQL into CRM, Power BI, and Microsoft Teams

What remains controlled

One record can support several working views.

Azure SQL holds the governed record. The CRM action workspace, Power BI, and Teams use approved views without making another uncontrolled copy.

SG builds inside the client's existing Azure and Microsoft 365 environment. Work product stays within that boundary under the client's complete oversight.

Environment
Existing client Azure and Microsoft 365 resources.
Access
Microsoft Entra, multifactor authentication, and client-defined roles.
Records
A client-controlled system of record.
Handoff
Configuration, records, and guidance remain with the client.

How implementation begins

Signal Engine is configured around the decisions your team needs to make.

SG defines the sources, criteria, human review, records, and handoff with the client.