Integrations
Connect Verified Readiness Data to Your Enterprise Architecture
Vector fits into your existing stack as a readiness evidence layer, connecting identity, learning, workforce context, verification records, dashboards, and analytics outputs without replacing the systems your organization already uses.
Vector Adds a Readiness Evidence Layer. It Does Not Replace Your Systems.
Vector is designed to connect with the enterprise stack, not displace it.
Your identity provider remains the source of truth for authentication.
Your HRIS or workforce system remains the source of truth for people and organizational context.
Your LMS or LXP can remain the source of truth for broader learning administration.
Your BI environment can remain the source of truth for enterprise reporting.
Vector maintains the source records for scored readiness verification, proof-bearing performance evidence, and the readiness views built from those records.
Where Vector Connects
Vector can connect readiness data to the systems and workflows your enterprise already uses:
Identity and access
SSO, role-based access, and user provisioning where applicable.
Learning systems
Assignment alignment, completion or status sync, and LMS record updates where needed.
Workforce context
Role, site, shift, cohort, team, manager, instructor, and organization mapping.
Analytics and BI
Exports, event data, dashboards, BI-ready datasets, or reporting pipelines.
Evidence workflows
Proficiency reports, evidence packs, verification extracts, and audit-ready outputs.
Governance systems
Approvals, version records, retention policies, and audit metadata.
What Data Moves Through Vector
Vector integrations are designed around the readiness data lifecycle: context in, verification records generated, evidence and analytics out.
Vector can ingest
Roster data, identity context, role, site, shift, cohort, team, assignment, scenario, and SOP or content version information.
Vector can generate
Session activity, task-step telemetry, decision paths, Coach Mode learning signals, Verify Mode scoring records, critical errors, verified readiness status, evidence artifact IDs, and audit metadata.
Vector can output
Proficiency reports, evidence packs, verification result extracts, coverage snapshots, drift and version reports, action status, and BI-ready datasets where supported.
Start With the Minimum Data Required. Expand as the Program Matures.
Vector integrations can be staged around program maturity, proof needs, and enterprise constraints.
Level 0: Standalone Proof
Roster import, scenario metadata, verification results, and PDF/CSV evidence exports.
Level 1: Identity and Learning Alignment
SSO, user provisioning where applicable, and LMS completion or status sync.
Level 2: Workforce Context
HRIS or roster mapping for role, site, shift, cohort, team, manager, instructor, and version context.
Level 3: Enterprise Analytics and Governance Reporting
BI exports, reporting feeds or event pipelines where supported, governed evidence outputs, and cross-program readiness reporting.
This staged approach helps teams avoid integration overreach while still supporting a path toward enterprise-scale readiness reporting.
Data Is Structured for Readiness Slicing
Vector data is organized so leaders and analysts can examine performance across the dimensions that matter.
Common dimensions may include, depending on implementation and customer policy:
- program
- learner or anonymized learner key
- role
- site
- shift
- cohort
- manager or instructor, where applicable
- scenario or module
- SOP or content version
- evidence artifact ID, where applicable
- time
- mode: Coach or Verify
This structure helps teams compare like with like, monitor drift, understand coverage, and connect verified performance to the enterprise reporting environment.
Separate Learning Signals From Verification Evidence
Not every event should carry the same weight.
Coach Mode can create learning telemetry: practice attempts, hints, retries, debrief activity, and improvement signals.
Verify Mode creates proof-bearing records: rubric scores, threshold results, pass/fail outcomes, critical errors, verification attempts, evidence artifact IDs, version metadata, and approver or audit details where applicable.
Vector keeps the distinction clear so practice data does not get mistaken for readiness proof.
What Vector Can Output
Depending on integration maturity and customer requirements, Vector can support human-readable and machine-readable outputs.
Human-Readable Outputs
- Vector Proficiency Reports
- Vector Evidence Packs
- PDF exports for review, oversight, or governance
Machine-Readable Outputs
- verification result extracts
- coverage snapshots
- critical error summaries
- drift and version reports
- remediation and action status
- CSV exports
- BI-ready datasets or reporting feeds
The goal is to make readiness evidence usable in the systems where leaders, analysts, and governance teams already work.
Built for Controlled Enterprise Rollout
Vector supports controlled integration planning with governance in mind.
That includes role-based access, customer-controlled retention, audit trails for rubric, threshold, version, and export changes, deletion support where applicable, and policy-gated handling of sensitive signals.
Sensitive signals are disabled by default and should only be enabled under explicit customer policy.
Integrations are staged based on proof and sustainment needs, not integration wishlists.
Review How Vector Fits Your Data Architecture
Bring one integration requirement, data flow, reporting need, or evidence-export use case. We’ll map how Vector can connect readiness verification to your existing systems.
This is not a generic platform walkthrough. We’ll focus the conversation on your architecture, source-of-truth assumptions, data flow, reporting needs, and governance constraints.
