Observe
Discovery is not proof. Potential signals enter a review lane with the original source and date preserved.
Built by Sustainable Gaps
Turn scattered market and project activity into decisions your team can defend.
Signal Engine monitors selected sources, preserves the original evidence, and prepares each bounded claim for human review before the team decides whether to research, pursue, monitor, hold, or stop.
Selected-source monitoringIndependent checks stay distinctHuman decision before action
Signal Engine Command
Governed product capture from September 1, 2026. Named records and internal release material are excluded.
Inspect all viewsA complete answer
The governed process behind the decision—not merely a scraper, lead list, CRM, or dashboard.
- Who uses it
- Business-development, preconstruction, market-intelligence, project, and operating leaders who need an earlier, defensible view.
- Decision it supports
- Research, pursue, monitor, hold, or stop—and identify the evidence and next action required.
- What it protects
- The original source, date, project identity, independent evidence, contradictions, and unresolved unknowns.
- What it does not do
- A headline, repeated claim, or model score cannot approve an opportunity, create a CRM record, or replace human judgment.
Verify
Independent sources are separated from repeated reporting, and conflicts remain visible instead of being averaged away.
Decide
A person determines what is supported, what is missing, and whether to pursue, monitor, hold, or stop.
Learn
Later outcomes are compared with earlier expectations without rewriting history, improving future qualification while preserving the record.
Operating proof
See what the system does before judging the dashboard.
Each view connects its operating question to the inputs, scoring, decision, evidence, and work.
Review queue triage
01
Capture
02
Evidence review
03
POC research
04
Promotion ready
05
Monitor
Review lanes
Keep research, monitoring, and action in distinct lanes.
Separate research from action so low-priority patterns remain available and approved records stay visible.
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.
Decision intelligence
Show what must be evidenced before a schedule or investment conclusion is treated as defensible.
Turn a project claim into a testable decision.
Illustrative energization decision
Captured September 1, 2026. Illustrative values; not a live forecast.
- Purpose
- Turn a project claim into a testable decision.
- Inputs
- Project phase, utility path, equipment commitment, constraints, evidence, and cost-of-delay inputs.
- Decision
- What can the team conclude now, and what evidence is still required?
- Foundation
- Illustrative values are clearly separated from live forecasts.
Guarded follow-through
Keep an aged feed or incomplete candidate from quietly becoming a prospect.
Separate research and review from outreach.
CRM collection and freshness controls
Captured September 1, 2026. Freshness warning retained; no personal contact details shown.
- Purpose
- Separate research and review from outreach.
- Inputs
- Source age, evidence checks, contact status, responsibility, next action, and promotion gate.
- Decision
- Is the record current and complete enough to move?
- Foundation
- Azure SQL remains the governed record for connected views.
Configured around the client
Wire the framework to the business model, not the business to a fixed dashboard.
Configure Signal Engine around the client's market, decisions, responsibilities, and technology. The interface adapts; 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.
What remains controlled
One record can support several working views.
In SG's current implementation, Azure SQL holds the governed record. A client implementation uses the client's approved system of record, with Azure SQL as the reference pattern when appropriate.
The CRM action workspace, Power BI, and Microsoft Teams use approved views and handoffs without becoming separate decision authorities. SG builds within the client's approved environment, preserving client ownership and oversight of the work product.
- Environment
- The client's approved Azure and Microsoft 365 environment.
- Access
- Microsoft Entra, multifactor authentication, and client-defined roles.
- Records
- A client-controlled SQL 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.