Collection stays local
The collector is run inside the client environment. It does not require inbound access from a hosted service.
Process
A local evidence workflow for restricted enterprise estates.
TangleMap separates collection from interpretation. The client-side collector creates an encrypted evidence bundle; analyst-local tooling turns it into the inventory, dependencies, caveats, scoring, and recommendations needed for a modernization readout.
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Collection
Collect local evidence
Run inside the client environment and gather metadata, raw artifacts, warnings, and coverage signals. -
Evidence
Build the evidence model
Normalize assets and relationships across reports, jobs, packages, models, and SQL objects. -
Complexity
Score the hard parts
Expose complexity drivers with confidence and coverage caveats instead of false precision. -
Findings
Review what matters
Separate critical, stale, risky, ambiguous, and incomplete areas for assessment discussion. -
Roadmap inputs
Shape next decisions
Use the assessment readout to support pilot scope, modernization paths, roadmap options, and partner planning.
The assessment question
The useful workflow starts with a decision, not a scan.
Collection is deliberately separated from interpretation so the assessment can show what was found, what remains uncertain, and what the team should validate next.
- Question
Can useful evidence be collected without opening the estate to a hosted service?
- Evidence
The collector runs inside the client environment and creates an encrypted bundle for an explicit analyst-controlled handoff.
- Caveat
Available evidence depends on permissions, deployment patterns, retained history, and supported metadata surfaces.
- Decision
Agree the estate slice, collector host, access model, handoff, and validation criteria before collection begins.
- Next action
Review the security posture and scope a representative pilot.
The handoff is explicit
The encrypted bundle is the boundary between client-side collection and analyst-controlled assessment.
Evidence stays caveated
Relationships are direct, parsed, or inferred. Coverage gaps and low-confidence findings remain visible.
Interpretation is explicit
TangleMap accelerates discovery, but consultant review turns evidence into recommendations and next-step options.
Operational detail
The flow is simple, but the review is deliberate.
The process page is about what happens when an assessment runs. The methodology page explains how evidence, confidence, coverage, scoring, and caveats are interpreted.
Before collection
Confirm the estate slice, systems in scope, collector host, access model, and what decision the assessment needs to support.
During collection
Gather metadata and selected raw artifacts where permitted, while recording partial access, unsupported surfaces, and scan warnings.
After ingestion
Normalize assets, correlate relationships, attach evidence and confidence, then review complexity, coverage, warnings, and recommendation signals.
During readout
Use the evidence to discuss retain-and-investigate, phased modernization, priority planning, and open questions with the consulting or delivery team.
Next step
Move from evidence flow to modernization decisions.
After the assessment flow is clear, review how TangleMap evidence supports retain-and-investigate, phased modernization, priority planning, and open questions.