Case study · StonegateOS

One connected system for a complex operation.

A custom business operating platform developed around the practical requirements of a service business—and an ongoing proving ground for applied AI engineering.

Internal platform · Source reviewed October 2026

Project overview

Built from the operation outward.

StonegateOS connects the customer journey, office coordination, field execution, partner work, financial context, and intelligent workflows within one operating environment.

TypeCustom operating platform
SurfacesPublic site, Team Console, mobile, customer proposals, Partner Portal
ArchitectureNext.js applications, PostgreSQL, API service, durable workers, provider integrations
StatusActively developed internal system; individual capability enablement varies by deployment configuration
Explore the platform · Synthetic interface
SStonegateOS
?2AM
Connected operations · AI Intelligence

AI-assisted work, connected to the record.

Recorded calls become structured documentation, next steps, and coaching signals.

Review queue
Morgan EllisCall · 12:48 · Processed
CRM synced
00:53 · Morgan

“Ideally Thursday the 24th, sometime after 10. We have freight elevator access.”

Office cleanoutDecaturHigh intent
Extracted requirementsStructured from conversation
✦
ServiceCommercial cleanoutTargetThu 24 · After 10AccessFreight elevatorFollow-upEmail + text
Prepared CRM note

Customer requested office cleanout in Decatur. Quote by email; text when ready. Confirm item volume before booking.

Review queueHuman decision points
3 open
✦Call noteMorgan EllisReady
✦Follow-up draftJordan ReedReview
✦Coaching insightNora PatelOpen
Illustrative interface · Synthetic data
Business challenge

Operational truth was spread across too many handoffs.

Customer information, conversations, lead follow-up, scheduling, quoting, field execution, partner coordination, and reporting all depend on one another. Treating each as a separate tool creates duplicated work and incomplete context.

Selected systems

A platform, not a single feature.

01

Customer quoting & booking

Public service flows collect structured requests, produce quotes, manage availability, and hand confirmed work into operations.

02

CRM & unified communications

Customer, property, lead, conversation, and job context are brought together for office and field teams.

03

AI call analysis

Recorded-call workflows can transcribe conversations, extract structured information, and prepare CRM documentation.

04

Sales coaching

Conversation analysis can identify next steps and coaching signals for review by sales leadership.

05

Lead & follow-up automation

Durable events coordinate notifications, reminders, follow-up sequences, and provider work outside user-facing requests.

06

Job & media intelligence

Field workflows manage scope, media, payment, completion evidence, and recovery for unreliable connectivity.

07

Marketing analytics

First-party web data, advertising integrations, and analysis workflows support campaign and search-term review.

08

Partner management

A dedicated portal and staff workspace support accounts, locations, requests, jobs, proof, approvals, and commercial records.

09

Mobile operations

A protected, phone-first experience supports daily work, communication, receipts, media, payments, and job completion.

Technical approach

Designed around durable system boundaries.

01 · Model

Structured records

Core customer, property, lead, job, quote, conversation, and partner data create shared context.

02 · Connect

APIs & events

Provider webhooks and application APIs move information through explicit service boundaries.

03 · Process

Background workers

Queued work handles retries, notifications, analysis, documents, and scheduled activity.

04 · Govern

Access & approval

Individual sessions, permissions, feature gates, and human review control sensitive operations.

Engineering considerations

Capability requires more than code.

Source review can establish what an application implements. It cannot, by itself, prove that every provider, feature flag, protected route, or workflow is active and healthy in a particular production environment.

Controls in the system

  • Individual and role-based access
  • API-side authorization boundaries
  • Deployment-controlled feature gates
  • Approval before sensitive agent actions

Operational posture

StonegateOS documentation explicitly distinguishes source implementation from runtime certification. That discipline—clear evidence, bounded claims, and proportional verification—is part of the engineering work.

Presentation note

The interface shown here is an intentionally designed conceptual demonstration using synthetic data. It communicates the shape of the operating system without exposing customer records or presenting a fabricated screenshot as production evidence.

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