Align builds the digital and data infrastructure that makes behavioral health operators controllable at scale. Most organizations have tools. Very few have an integrated system that produces truth, drives behavior, and improves performance. We architect the stack, the workflows, and the insight layer so leadership can manage with confidence: one operating picture, one set of definitions, and real-time visibility into what moves revenue and outcomes.
Who this is for
- Teams with disconnected systems (CRM, EMR, billing, call tracking, scheduling, marketing) and constant manual reporting.
- Operators making decisions from “reports” that conflict and cannot be trusted.
- Leadership who want to scale without adding unnecessary headcount and bureaucracy.
- PE-backed companies that need investor-grade dashboards and repeatable operating controls.
The problem we solve (direct)
Digital infrastructure fails when:
- Systems are purchased for features, not for operational fit and integration.
- Data definitions are inconsistent, so dashboards are fiction.
- Workflows live in email and spreadsheets, creating shadow systems and compliance risk.
- Reporting is lagging, manual, and curated to tell a story rather than reveal truth.
- Leadership cannot connect cause and effect (marketing → calls → conversion → authorization → revenue).
Align fixes this by installing an integrated “truth layer” and the governance to keep it accurate.
What Align delivers
1) Tech Stack Architecture (Fit, Not Fashion)
- Current stack audit: what you have, what it does, what it costs, what it breaks
- Target architecture: CRM, EMR, billing/RCM, call tracking, scheduling, analytics, messaging
- Integration map: systems, data flows, owners, and failure points
- Consolidation plan to reduce tool sprawl and manual work
2) Workflow Automation and Systemization
- Standard workflows designed inside systems (not in people’s heads):
- Lead routing and speed-to-lead
- Intake and clinical screening
- Insurance verification and financial clearance
- UR and authorization tracking
- Discharge planning and aftercare handoff
- Task automation, reminders, required fields, and escalation triggers
- SOP alignment: workflows in the system match written standards
3) Data Definitions and “Single Source of Truth”
- Core definitions standardized: lead, contact, qualified, clinical fit, scheduled, admitted, conversion, churn/AMA, AR aging, denial rate
- Data hygiene rules: required fields, validation, audit cadence
- Exception reporting: identify breakdowns early instead of discovering them in month-end results
4) Insight Layer: Dashboards That Drive Decisions
- Executive dashboards aligned to outcomes:
- Volume, conversion, payer mix, speed-to-lead, show rate, admit rate
- Authorization friction, denial trends, reimbursement leakage signals
- Cost per admit, cost per occupied bed day, capacity utilization
- Role-based scorecards: reps, admissions, UR, billing, clinical leadership
- Trend and cohort views: what is improving, what is deteriorating, why
5) Performance Intelligence and Predictive Control
- Pipeline forecasting: admissions and census projections based on stage velocity
- Staffing and capacity planning based on demand and conversion trends
- Behavior-based performance management: what top performers do differently in the system
- Early-warning indicators for risk (conversion drop, payer pushback, AMA drift)
6) Governance and Sustainability
- System ownership model: who controls definitions, fields, workflows, and reporting
- Change control: how improvements are requested, tested, deployed, and trained
- Quarterly stack review: remove noise, optimize integrations, protect data integrity
- Vendor governance: SLAs, performance scorecards, and escalation protocols
Execution approach (phased)
Phase 1: Audit + Map (Weeks 1–3)
- Stack inventory, workflow mapping, reporting review, pain-point diagnosis
- Identify broken handoffs and “shadow systems”
- Define target architecture and immediate quick wins
Phase 2: Build the Truth Layer (Weeks 4–8)
- Standardize definitions and KPIs
- Configure CRM/workflows, integrate key tools, deploy dashboards
- Implement data hygiene rules and reporting cadence
Phase 3: Optimize + Scale (Weeks 9–16+)
- Automation, performance scorecards, and forecasting
- Governance model and continuous improvement rhythm
- Expand system maturity across sites, levels of care, and teams
Signature deliverables
- Tech Stack Architecture Map (current → future state, integration plan)
- Workflow Blueprints (end-to-end with system ownership)
- Data Dictionary (definitions, required fields, reporting logic)
- Dashboard Suite (executive + role-based scorecards)
- Automation and Escalation Rules (SLAs, triggers, exception reporting)
- Governance Framework (change control, audits, system ownership)
Outcome language you can reuse
- “We eliminate competing reports and establish a single source of truth.”
- “We reduce manual work and increase conversion by systemizing workflows.”
- “We install dashboards that drive decisions, not vanity metrics.”
- “We make operations measurable, forecastable, and scalable.”
What makes Align different
Most firms “implement software.” Align builds operating leverage:
- Systems designed around workflow and accountability
- Insight tied directly to revenue, payer performance, and clinical continuity
- Governance that keeps data truthful and usable over time
- A practical bias: fewer tools, cleaner integrations, better decisions