04 / DATA & INTEGRATION
Connect the workflow without losing control of the data.
Fragmented systems, unreliable data, and sensitive workflows with compliance requirements all need a design approach that accounts for the real operating conditions—not just the happy path.
WHERE CLIENTS GET STUCK
- —CRM and back-office systems holding different versions of the same record
- —Reports that require manual reconciliation before anyone trusts them
- —Sensitive data moving through tools or workflows without clear access controls
- —A migration that carried the data but lost the context, history, or relationships
- —An API integration that works in test but fails on edge cases in production
SENSITIVE DATA NOTE
Healthcare, financial services, and regulated environments require more than a generic integration approach. We design with explicit consideration for minimization, authorization, audit, and human accountability.
Gated Enterprise provides HIPAA-aligned implementation support and works with client legal, privacy, security, and compliance stakeholders. Scope and safeguards depend on the client, data, vendors, and use case.
REGULATED DATA FLOW ARCHITECTURE
Control at every node, not just the boundary.
SOURCE
Origin system or data provider
MINIMIZE
Filter and reduce to required fields only
AUTHORIZE
Validate role, context, and consent
TRANSFORM
Map, clean, and structure the data
REVIEW
Human checkpoint where consequence warrants
DESTINATION
Target system with audit trail
CONTROL LAYER — PRESENT AT EVERY NODE
MINIMIZE
Collect only what the workflow requires. Do not carry sensitive data further than necessary.
AUTHORIZE
Grant access by role and need, not convenience. Enforce at the data layer, not just the UI.
GROUND
Anchor AI and automation responses to verified, scoped data sources. Prevent hallucination and drift.
REVIEW
Keep a person accountable at decision points where consequences justify it.
LOG
Record what entered, what changed, who acted, and when. Immutable where required by compliance.
DELIVERY SEQUENCE
Built on a clear data model.
Data & workflow mapping
Document current data flows, identify gaps, ownership issues, and integration dependencies.
Architecture & design
Design the target state—integration patterns, data model, access controls, transformation logic, and audit approach.
Build & integrate
API development, ETL/migration scripts, and connection work in structured review cycles.
Testing & validation
Integration testing with real data volumes. Edge case review. Compliance and access control verification.
Handoff & documentation
Operating documentation, runbook, and ongoing support options.
Bring the integration problem.
A 30-minute call is enough to understand the data flow, identify the critical control points, and map a practical next step.
Book a free strategy call →