Your Systems Blueprint

Acme Field Services — Generated 4/7/2026

Systems Blueprint

Based on our support-stack audit of Acme Field Services, we identified critical gaps in environment hygiene, security controls, workflow coverage, and AI readiness. The strongest initial commercial path is the Growth Stack, with AI Infrastructure as a follow-on when you need governed agent capabilities, private knowledge, or tool-connected assistants.

Recommended package: Growth Stack

Recommended Setup
$7,500
Recommended Monthly
$1,497

Recommended Packages

Tier 1: Starter Stack

Audit-led baseline for smaller teams that need a cleaner environment, stronger support coverage, and a supportable starting stack.

Setup Cost
$3,500
Monthly Cost
$799/mo
StackAudit
Managed IT Baseline
Security Controls & Access
Workflow Foundation

Tier 2: Growth Stack

Recommended

Default support stack for growing teams that need recurring support, security pathing, workflow foundations, and structured intake systems.

Setup Cost
$7,500
Monthly Cost
$1497/mo
StackAudit Pro
Managed Support Plan
Security & Compliance Path
ChatFunnel Intake Layer
Workflow Automation
AI Gap Analysis

Tier 3: Enterprise Stack

Higher-touch support stack for complex environments that need private systems, governed AI, compliance pathing, and executive-level oversight.

Setup Cost
$15,000
Monthly Cost
$2997/mo
StackAudit Enterprise
Managed Support + Security
AgentForge Runtime
Private Knowledge Base + RAG
MCP Tool Access Layer
Credential Vault & Secure Access

Strategic Analysis

Acme Field Services depends on clean handoffs between the office, technicians, and the tools that keep jobs moving. The audit shows that the company already has useful operational software, but the environment around it is still too manual and inconsistent. **Managed IT Baseline:** Device standards, backups, and support processes are not aligned. That creates avoidable downtime, uneven service quality, and harder troubleshooting. **Security and Compliance:** Access policy and MFA enforcement are incomplete. This increases operational risk and weakens the company before larger client requirements or compliance expectations show up. **Workflow Coverage:** Requests, follow-up, and internal coordination still move through too many manual steps. This creates support drag and slows both response time and billing confidence. **Private Infrastructure and AI:** Knowledge is scattered, AI usage is ad-hoc, and there is no governed runtime or tool access layer yet. That means the business is not ready for reliable agents or private AI workflows without additional foundation work. The strongest path is to stabilize the environment first, then layer workflow automation, intake routing, and private AI infrastructure in the right order so the stack stays supportable over time.

AI Infrastructure Add-Ons

Your AI Readiness score is 3/20 — these packages close the gap

AI Foundation

Set up the first layer of governed AI usage with provider access, core workflows, and staff enablement.

Setup
$5,000
Monthly
$997/mo
LLM provider setup with usage governance
3 AI-enabled workflow activations
Prompt library and staff enablement
Monthly optimization review

AI Infrastructure

Add the runtime, knowledge, tool access, and memory architecture needed for reliable agent systems.

Setup
$15,000
Monthly
$1997/mo
AgentForge runtime deployment
3 governed MCP integrations
Private knowledge base + RAG pipeline
Context and memory block design
Monthly maintenance and model updates

AI Operations

Operate a larger AI program with governed voice, multi-agent orchestration, and ongoing oversight.

Setup
$40,000
Monthly
$4497/mo
Everything in AI Infrastructure
Voice agent and intake routing
Custom skills library (10+ business-specific workflows)
Dedicated multi-agent orchestration
Monitoring, retention, and governance dashboard
Quarterly AI strategy review

Implementation Plan

1
Review and approve the recommended stack and any optional AI infrastructure add-on
2
Confirm environment access, scope, and implementation assumptions
3
Sign service agreement and data-handling terms
4
Schedule stack planning and onboarding kickoff
5
Phase 1: Environment cleanup and managed IT baseline
6
Phase 2: Security controls, access policy, and intake routing
7
Phase 3: Workflow automation and operational handoffs
8
Phase 4: Private knowledge, tool access, and governed AI systems if selected
9
Quarterly support review and stack expansion planning
Verification Requirements

A deeper technical review is required before implementation begins so the scoped stack, integrations, and governance assumptions are validated.