UGS currently relies on a manual, multi-platform customer provisioning process that is time-consuming, difficult to train on, and vulnerable to rework and install-day issues.
The Opportunity
Replace this manual workflow with a custom internal provisioning automation platform that standardizes intake, validates inputs, automates repeatable steps, improves visibility, and shifts staff from manually building each job to reviewing and approving automation outputs.
Current State: The Problem
Build Volume
UGS is currently completing approximately 35 customer builds per week(~140 builds per month).
Each build currently takes approximately 1–2 hours, with an estimated 1.5 hour average.
This equates to approximately:
210 provisioning hours per month
2,520 provisioning hours per year
Estimated Direct Annual Labor Cost
$50,400 cost per year at $20/hr
$75,600 cost per year at $30/hr
These figures do not include:
Employee training time
QA / management review
Error correction / rework
Install-day friction
Customer impact from provisioning mistakes
⏱ 9 Months
Training currently takes approximately 9 months per employee
⚠️ Knowledge Risk
Too much critical process knowledge appears concentrated in Paul
❌ 15-20% Error Rate
The current process has a high error / issue rate on builds
The Solution: UGS Customer Provisioning Automation Platform
We are proposing a customer provisioning automation platform for UGS.
At a high level, the platform will include 3 core layers:
1
Provisioning Wizard
A single structured interface for capturing customer and job data in a standardized way, with validation rules and guided inputs.
2
Automation Engine
The orchestration layer that handles repeatable provisioning steps across the relevant systems and platforms.
3
Operations Dashboard
A centralized place for staff to review jobs, track status, catch exceptions, monitor completion history, and access audit logs.
Customer Provisioning Platform Future State Objective
Capture
Customer data captured once in structured format.
Pre-fill
Submission auto pre-fills provisioning actions.
Review
Staff review and approve automation outputs.
Scale
Knowledge embedded; provisioning scales via UGS engine.
Knowledge becomes embedded in the platform instead of held by Paul and a small number of employees.
UGS gains a scalable provisioning engine that supports growth without adding proportional labor overhead.
Errors are surfaced earlier through validation and system logic.
Staff shift from "doing the build manually" to "reviewing and approving automation outputs."
That submission automatically pre-fills provisioning actions instead of requiring manual re-entry.
Customer data is captured once in a structured format.
Benefits of UGS Customer Provisioning Automation Platform
The numbers speak for themselves…
The UGS Customer Provisioning Automation Platform will delivers tangible improvements across key operational metrics:
1-2 Hours Customer Builds → 10-15 Minutes
Each customer build goes from a manual, multi-platform process to a quick staff review and one-click approval.
High Costs → 80-90% Reduction In Operational Costs
As the workflow is standardized and automated, the cost to complete each customer build drops significantly.
15-20% Error Rate → 5% or Near Zero
Validation and automation take the manual mistakes out of the equation. Less rework, fewer install-day surprises.
9 Months New Hire Training → Weeks
The platform holds the knowledge. New staff learn one tool, not 7 separate platforms.
Onboarding Bottleneck → Scale Without Headcount
As volume grows, the platform keeps up. You don't need to hire at the same rate to handle more builds.
Benefits subject to final API feasibility & agreed scope (technology assessment)
What's Involved
7 platforms, many API calls, one seamless UGS customer provisioning app
7 Platform Integrations → 1 UI
Zoho CRM, NetSapiens, Inteliquent, Yealink YMCS, Grandstream GDMS, TeleDynamics, and AWS Polly into a unified system.
Sequential Job Orchestration
Each build executes 12 to 15 critical steps in the correct order, with dependent steps intelligently waiting for prior tasks to complete.
Error Recovery & Retry Logic
If an API call fails, the system detects it, attempts intelligent retries, and can initiate rollbacks or escalate to human intervention when necessary.
Data Validation & Transformation
Data gets validated and formatted before it touches any platform, so the kind of mismatches that cause build errors today don't happen in the future.
Credential & Secret Management
All API keys and sensitive credentials for the 7 integrated platforms are stored securely, regularly rotated, and never exposed in the browser.
Audit Trail
Maintains a comprehensive log of every action: who initiated it, what changes occurred, which platforms were called, and the outcome of each operation.
Security & Infrastructure
Enterprise-grade from day one.
Role-Based Access
Only authorized staff can trigger builds or access sensitive settings. Permissions are controlled by role.
Encrypted Credentials
All API keys and platform credentials are encrypted at rest and in transit. They never touch the browser.
Hosted & Managed
Runs on dedicated cloud infrastructure with automated backups, monitoring, and uptime guarantees.
Full Audit Logging
Every build action is logged with timestamps, who did it, and what happened. Full traceability for compliance and troubleshooting.
Input Validation
Forms enforce validation rules before anything reaches an external platform, catching mistakes before they become problems.
Ongoing Support
6 to 8 months of post-launch support included, then transitioning to a break/fix support relationship.
Implementation Roadmap
A phased approach to automating customer provisioning across 7 integrated platforms.
Each phase adding measurable value and streamlining operations.
1
Phase 1: Technology Assessment
Review automation feasibility and check for any constraints.
Per new hire accelerated by ~6 months: $19,200 – $28,800 saved annually
Strategic Upside Beyond Direct Savings
Faster onboarding throughput
Lower dependency on key personnel
Reduced install-day surprises
Better internal consistency
Easier scalability as volume grows
Total Estimated Annual Savings: $67,080 - $108,180 per year
Subject to final API feasibility & agreed scope (tech assessment)
Time to ROI: 8-12 months
Why Choose AYB AI
We are well-positioned to help UGS with this initiative…
We have previously developed a healthcare automation platform, which demonstrates our proven approach to automating complex, multi-step provisioning workflows in a single UI.
This is directly applicable to the customer provisioning automation platform UGS requires.
Furthermore, this project needs more than a simple workflow.
It requires a combination of:
Operational Process Design
Workflow Automation
Software Development
Integrations Thinking
Exception Handling
Internal Tooling Design
The objective is not just to automate isolated tasks, but to help UGS build a more scalable provisioning engine to significantly lower operational costs by 80-90%.
Pricing & Terms
Delivery time frame: 3-4 months
Estimated one-time development fee: $54,000
Paid in monthly installments of $13,500 over 4 months.
With monthly check-in calls to review implementation progress.
Monthly service fee:
$1,495 p/mo for the first 6 months (post-launch support period).
After the initial 6 months, we can move to a break/fix model
Go-Live & Support:
After development is complete, UGS will test internally prior to going live.
At go-live, the first month's service fee ($1,495) will be due.
Note: This is a budgetary proposal for internal planning purposes. Final scope, pricing, and delivery timeline will be confirmed after the technology assessment (validation of the workflow, systems, APIs, and edge cases).
SUPPORT & SLA
AYB AI SUPPORT HOURS:
Monday–Friday, 9am–5pm EST via Zoom, Slack, or email.
RESPONSE TARGETS:
P1 (system down / critical issue)
Response within 2-4 business hours.
P2 (degraded performance / non-critical issue)
Same business day.
P3 (all other support request types)
Within 1 business day.
Assumptions, Caveats & Exclusions
Caveats:
Scope May Change
Final scope may decrease or expand after the initial technology assessment
API Dependency
Automation depth depends on workable APIs
Assumptions:
UGS will provide required access, documentation, and workflow clarification
The relevant subject matter experts will be available during tech assessment & implementation
Exclusions:
Infrastructure/hosting fees (will be covered by UGS)
Major workflow changes or custom edge-case provisioning requested after scope confirmation
Unsupported provider limitations (or workarounds) discovered during phase 1 of technology assessment
Key Metrics
After the initial technology assessment and scope confirmation…
UGS can expect to achieve a full return on investment within 8-12 months, followed by significant recurring annual savings.