Local-first AI infrastructure Governed agent systems Deployment defined by SOW

Enterprise AI systems integration

Install an AI operating layer your company can actually run.

Bring local AI infrastructure, governed agents, CRM and workflow automation, training, and operational support into one controlled deployment—sized to the systems, teams, and risk profile you actually have.

Every tier has a defined outcome and boundary. Equipment is included only where the package and final bill of materials say so; licenses, implementation, training, and support remain separately identified in the proposal and statement of work.

DGM / operating-layer architecture Full-scope reference
05 Business interfacesSales · service · marketing · content user layer
04 CRM + workflowsRouting · records · approvals · reporting integrated
03 Hermes agentTools · policies · orchestration · audit trail configured
02 Local AI runtimeModels · retrieval · knowledge collections local-first
Mac Studio / APrimary compute node
Mac Studio / BSecondary compute node
Local-firstCompute + knowledge
GovernedTools + permissions
ConnectedCRM + workflows
MeasuredTests + acceptance

Engagement paths

Buy the next useful layer—not more system than you need.

Each package has a reference boundary. Final deliverables, dates, dependencies, licenses, hardware, and support obligations are established in the executed statement of work.

Foundation01
$25k 4–6 week sprint

For a company that needs one high-value use case defined, tested, and translated into an implementation roadmap.

  • AI readiness and process assessment
  • One controlled workflow prototype
  • Data, access, and risk register
  • Executive and operator training
  • Prioritized implementation roadmap
Workflow Launch02
$75k 8–12 week implementation

For one operating team ready to connect AI to a core system and release a focused automation lane.

  • Up to three approved workflows
  • One core CRM or service integration
  • Scoped Hermes agent configuration
  • Role controls, tests, and documentation
  • Training plus 60-day support window
AI Operations03
$100k 3–4 month implementation

For cross-functional teams that need a governed knowledge, agent, and workflow layer across more than one system.

  • Business knowledge retrieval layer
  • Up to five approved workflows
  • Up to two core system integrations
  • Evaluation, approvals, and operating guides
  • Training plus 90-day support window
EnterpriseAbove reference scope
Contact sales Custom program and commercial structure

For multi-department, multi-entity, multi-site, regulated, high-availability, or otherwise higher-complexity programs beyond the $250,000 reference deployment.

  • Custom infrastructure and deployment architecture
  • Multiple agents, teams, and system integrations
  • Expanded security, governance, and evidence scope
  • Change management and adoption workstreams
  • Negotiated support, service levels, and rollout plan

Reference prices exclude applicable taxes and out-of-scope third-party charges. Hardware is included only when expressly listed. Enterprise pricing is provided after discovery.

One accountable engagement

Infrastructure, integration, and adoption—designed together.

Smaller engagements establish a focused capability. Larger deployments connect the physical, technical, and human layers under one acceptance plan. In every tier, the delivered system and service boundaries are explicit.

01

Physical compute

Where included, client-owned compute and approved accessories are separately listed in the final bill of materials. The full $250,000 deployment uses a two-node Mac Studio reference.

02

Configured systems

Local model runtime, business knowledge retrieval, Hermes agent tooling, CRM integration, and tested workflows mapped to agreed use cases.

03

Operational adoption

Role-based training, operating procedures, support, change control, acceptance testing, and a documented transition to the client team.

Deployment modules

A complete operating layer, not a loose collection of tools.

Packages select from the same six modules at different depths. Not every tier includes every module, integration, hardware item, or support period.

M1

Compute + data foundation

Approved runtime or compute environment, backup plan, access model, knowledge preparation, and configuration records at the depth defined by the package.

M2

Local AI + retrieval

Locally installed model runtime and retrieval workflows for designated business content. Final models depend on workload testing and license review.

M3

Custom Hermes agent

A configured agent with approved tools, role permissions, human approval points, logging, and business-specific instructions—not an unbounded autonomous employee.

M4

CRM + workflow automation

Lead routing, task creation, lifecycle stages, notifications, record updates, and agreed workflow automations connected to the client’s CRM.

M5

AI-assisted business systems

Prioritized marketing, sales, customer-service, and content workflows with human review, brand rules, and channel-specific controls.

M6

Training + managed transition

Role-based training, maintenance, and support with a package-specific term, documented response targets, change requests, and handoff materials.

Delivery scaled to scope

The same controls, with a timeline matched to the package.

The full $250,000 deployment uses the six-month sequence below. Focused tiers compress or combine gates without removing agreed testing and acceptance.

Month 1

Discover

Use cases, systems, data, risks, and success criteria.

Month 2

Design

Architecture, BOM, permissions, workflows, and test plan.

Month 3

Install

Hardware, local runtime, backup, monitoring, and baseline models.

Month 4

Integrate

Hermes agent, CRM, APIs, automations, and staging workflows.

Month 5

Validate

User acceptance, security review, workflow testing, and training.

Month 6

Transition

Production stabilization, documentation, final acceptance, and handoff.

Commercial clarity

The $250,000 full deployment remains itemized by what is actually delivered.

It is one path in the five-tier catalog—not the entire offer. The executed proposal replaces allowances with approved configurations, named licenses, final service scope, payment terms, and any applicable taxes.

Equipment $36k Software allowance $24k Engineering $116k Training $24k Support $30k Program + acceptance $20k

Trust by design

Boundaries documented before capabilities are promised.

DGM uses the statement of work, data map, access matrix, license schedule, and acceptance plan to define exactly what will—and will not—be deployed.

A

Local-first, not “never cloud”

Designated workloads can run locally. Any enabled third-party API path is disclosed because those requests may leave the local environment.

B

Human-controlled actions

High-impact workflows use approval steps, role permissions, logs, and rollback procedures appropriate to the use case.

C

Measured acceptance

Delivery is tested against agreed functional criteria—not promised revenue, model perfection, or guaranteed business outcomes.

Start with scope

Build the evidence before the system.

The first conversation identifies business priorities, systems, data sensitivity, client responsibilities, and which package—or custom Enterprise scope—fits the next useful outcome.