How Azure and AI Architecture Services Are Priced

Quick Answer

RedDogSME prices AI and cloud architecture work as fixed scope services first. The normal paths are Azure Architecture Assessment, Architecture Blueprint Sprint, Pilot to Production Build, Architecture Office, and Managed AI and Cloud Governance.

Hourly work is not the public front door.

When This Matters

Pricing matters when a team needs to fund AI or cloud work but does not yet know whether the initiative is ready for production.

Use this guide when the team asks:

• Do we need assessment or implementation help?
• Is the architecture approved enough to build?
• What changes the price?
• Is this an hourly consulting model?
• Can the first engagement lead into a build or retainer?

What To Decide

Match the work to the service:

Current situation	Recommended service
Azure or AI scope is unclear	Azure Architecture Assessment
Architecture, backlog, and SOW need approval	Architecture Blueprint Sprint
Pilot scope is approved and needs implementation	Pilot to Production Build
Architecture guidance needs to recur	Architecture Office
AI risk, cost, and architecture need recurring review	Managed AI and Cloud Governance

Do not sell implementation before target architecture, assumptions, exclusions, and QA gates are clear.

Pricing Bands

Offer	Price	Duration
Azure Architecture Assessment	$15K to $35K	2 to 3 weeks
Architecture Blueprint Sprint	$35K to $85K	3 to 6 weeks
Pilot to Production Build	$75K to $250K	8 to 16 weeks
Architecture Office	$12K to $35K per month	6 to 12 months
Managed AI and Cloud Governance	$8K to $50K per month	Annual

Azure Components

Price changes when the work touches more of the production system:

• Azure subscriptions, tenants, workloads, and applications
• Entra ID, RBAC, PIM, managed identities, and vendors
• private endpoints, DNS, VPN, firewall, and network design
• Azure Landing Zone maturity and policy gaps
• Azure AI Foundry, AI Search, model access, tool use, evaluation, and cost
• monitoring, log retention, alerting, and runbook ownership
• compliance, customer review, audit, or board level timing

Each component adds review time, delivery risk, or specialist involvement.

Microsoft Alignment

Microsoft tools and frameworks help define the work, but they do not replace architecture judgment.

Use Cloud Adoption Framework, Well Architected Framework, Azure Landing Zone guidance, Azure Policy, Defender, Azure Monitor, and AI Foundry guidance where they help the team approve practical work.

Common Mistakes

• Publishing hourly rates as the main offer.
• Discounting without reducing scope.
• Selling implementation before architecture is approved.
• Treating AI readiness, architecture approval, and implementation as the same service.
• Hiding pricing bands from qualified teams.

Clear pricing protects both sides. The team knows what they are buying, and delivery quality has a defined boundary.

RedDogSME Recommendation

Start with Azure Architecture Assessment when production risk, cost, ownership, or scope is unclear. Use a Blueprint Sprint when architecture and implementation scope need approval. Use Build only after scope is approved. Use retainers when architecture guidance or governance needs to recur every month.

Reduce scope before reducing price.

Related Topics

• AI readiness for production
• Architecture blueprinting
• Azure governance
• Pilot to production delivery