Map the real operating loop.
Current process, manual work, systems, data, volume, risk and the desired business outcome are made explicit.
ENGAGEMENT / IMPLEMENTATION
BUILD THE BUSINESS SYSTEM, NOT ANOTHER DEMO.
A multi-workflow implementation for companies ready to connect AI, automation, software and operating logic into durable infrastructure.
The operating problem / 02
BUILD A SYSTEM
THAT OWNS THE WORK.
This is the point where the work stops being one isolated workflow. A business AI system can coordinate multiple triggers, agents, integrations, data sources, approvals and operating dashboards around one business outcome.
Obsidian Media works from the operating loop outward: what triggers the work, what information is required, which decisions are deterministic, where judgment belongs, which systems need to change state, what can fail and who owns the exception. That is the difference between installing another tool and creating infrastructure.
Engagements are sized to the operating problem. When scope is unclear, start with diagnosis. When the workflow is defined, move directly into a bounded sprint, agent/integration or connected business system without paying for unnecessary discovery.
Scope / 03
WHAT THE
ENGAGEMENT COVERS.
The exact statement of work follows the process, integrations, risk and implementation depth. These are the working boundaries.
- Architecture and implementation plan
- Multiple connected workflows
- Agents / model logic where useful
- APIs and data handoffs
- Monitoring and ownership model
- Documentation and operating roadmap
- Typical architecture: $10,000–$25,000+
- Multi-system scope
- Designed for durability
- Managed support available
How the work moves / 04
Ship the highest-value system.
Architecture becomes implementation: workflows, agents, APIs, data handoffs, approvals, retries and exception handling.
Make the next state obvious.
Testing, documentation, ownership, monitoring and the next system opportunity are handed off instead of leaving an unexplained automation behind.
Engagement levels / 05
THE VALUE
LADDER.
Start with the smallest engagement that can create evidence. Scale only when the operating problem requires more architecture.
AI Automation Audit
Starting at $500Architecture and systems audit that maps the process, bottlenecks, integrations, risk and highest-value implementation path.
See engagement ↗Automation Sprint
Starting at $2,500A bounded implementation sprint that takes one meaningful workflow from manual or fragmented to working software.
See engagement ↗AI Agent / Integration
Starting at $5,000A production AI agent or integration connected to real systems, business rules, data, approvals and human escalation.
See engagement ↗Business AI System
Starting at $10,000A larger connected operating system spanning multiple workflows, data sources, integrations and decision points.
See engagement ↗Managed AI Infrastructure
Custom monthly engagementOngoing ownership of deployed automation, monitoring, iteration, model/provider changes and new system capacity.
See engagement ↗Enterprise AI Architecture
Custom engagementArchitecture and implementation for organizations moving from isolated AI experiments to governed, connected operating systems.
See engagement ↗Boundaries / 06
WHAT THIS IS NOT.
— No fake labor-savings or revenue guarantees.
— No unsupervised high-stakes autonomous decisions.
— No raw-password collection.
— No hidden third-party platform fees.
Operating standard
PROOF BEFORE PROMISES.
✓ Defined scope and implementation milestones.
✓ Human approval where judgment or accountability matters.
✓ Tested failure paths, not just happy-path demos.
✓ Documentation and ownership after launch.
FAQ / 07
REMOVE THE
UNCERTAINTY.
Do I have to know which tool I need?
No. The engagement begins with the business process, systems, data and decision points. Tool choice follows the architecture.
Are third-party software costs included?
No unless a written scope explicitly includes them. Model, messaging, CRM, automation platform, hosting and other usage fees normally remain the client’s responsibility.
How is scope confirmed?
The current process, desired outcome, integrations, volume, access and risk are reviewed before the final statement of work or implementation milestone is confirmed.
Do you guarantee a revenue result?
No. The work is sold as architecture and implementation. Revenue, labor savings, rankings and conversion outcomes depend on the business, traffic, offer, adoption and other factors outside the implementation itself.
How is access handled?
Platform-native collaborator, staff, role-based or temporary access is preferred. Raw passwords should not be emailed.
Can the system be managed after launch?
Yes. Production systems can move into a managed AI infrastructure engagement with monitoring, iteration and defined technical ownership.
Next move / 08
FIND WHAT
YOU CAN AUTOMATE.
Bring the manual process, disconnected system or operating bottleneck. The first job is to determine the smallest architecture that can create meaningful leverage.