Transparent Price Book
Clear 2026 pricing with explicit scope, exclusions, payment terms, and upgrade paths. No hidden scope drift and no hourly ambiguity.
Fast plan selection
Use this matrix to choose the right starting offer without overbuying.
Need a baseline before any build spend
Fastest path to clear risk, cost, and compliance priorities.
Need production-ready Azure foundations
Landing zone delivery with governance controls and explicit handoff.
Need private AI in production with governance
Moves from AI strategy to governed implementation with fixed scope.
Need ongoing architecture leadership
Maintains velocity and control quality after implementation.
Scenario Selected
Need production-ready Azure foundations
Landing zone delivery with governance controls and explicit handoff.
Book Platform Build Scoping CallAI AND DATA
AI decision framework, private AI deployment, pilot factories, and governance operations.
Foundry Zero
Your own Private AI. Data stays within your Azure perimeter.
- Azure AI Foundry (Private)
- Private Link (No Public IP)
- VNET Injection
- OpenAI Service (Opt-out Logging)
50% at SOW, 50% at handoff
No custom LLM training or app-layer feature engineering.
I-06 AI Control Tower plus R-03 Secure Platform Pod
SecOps AI Enforcer
AI-assisted threat detection and response.
- Microsoft Sentinel Workspace
- Security Copilot Integration
- Automated Playbooks (Logic Apps)
- Threat Intelligence Feeds
50% at SOW, 50% at handoff
No full SOC outsourcing.
R-02 Platform Engineering Pod
M365 Copilot Extension Pack
Make Copilot speak your business language.
- Graph Connector Deployment
- Declarative Agent Configuration
- Custom Data Source Integration
- Security Trimming Validation
50% at SOW, 50% at handoff
No enterprise application buildout.
I-05 AI Governance Framework
AI Governance Framework
Track every agent. Set policies for every action.
- Agent Registry Setup
- Lifecycle Policy Configuration
- Permissions Audit & RBAC
- Observability Dashboard
50% at SOW, 50% at handoff
No external legal or compliance counsel.
R-01 Fractional Architect Core
AI Control Tower
Run AI operations with executive visibility and policy control.
- AI Ops Dashboard
- Lifecycle Governance Controls
- Policy Baseline Enforcement
- Executive KPI Reporting
50% at SOW, 50% at handoff
No model lifecycle MLOps for custom ML training pipelines.
R-03 Secure Platform Pod
AI BXT Envisioning Sprint
Prioritize the right AI bets before committing build budget.
- BXT Viability/Desirability/Feasibility Scorecard
- AI Opportunity Prioritization Matrix
- ROI and Feasibility Framing
- Executive Decision Workshop
100% upfront
No production implementation or model operations.
I-08 AI Architecture Decision Blueprint
AI Architecture Decision Blueprint
Choose the right AI stack with defensible architecture rationale.
- Nine Critical Decision Question Workshop
- Technology Grouping and Selection Matrix
- Trust-Boundary Architecture Design
- Security and Governance Constraints Mapping
50% at SOW, 50% at delivery
No build execution.
I-09 AI Pilot Factory (Governed MVP)
AI Pilot Factory (Governed MVP)
Convert AI architecture into a governed production pilot.
- Governed AI MVP Build
- Guardrails and Safety Controls
- Observability and Telemetry
- Deployment and Rollback Runbooks
40% at SOW, 40% midpoint, 20% at acceptance
No enterprise-wide rollout or portfolio migration.
I-10 AI Governance and Trust Baseline
AI Governance and Trust Baseline
Operate AI under continuous governance and compliance controls.
- Agent Inventory and Lifecycle Controls
- Policy Baseline Assignments
- Monthly Governance Reporting
- Risk and Compliance Tracking
Monthly upfront
No 24/7 SOC or dedicated model training operations.
R-03 Secure Platform Pod
Package Matrix Snapshot
Offers are grouped into tiered packages so buyers can choose by outcome and risk posture, not only by line-item deliverables.
Recon Sprint
Executive findings report with prioritized remediation roadmap.
Exclusion: No implementation work.
Upsell: Foundation Sprint
Foundation Sprint (Commercial)
Production-ready commercial landing zone.
Exclusion: No migration of existing workloads.
Upsell: R-03 Secure Platform Pod
Foundation Sprint (Federal)
CMMC-aligned Azure Gov baseline.
Exclusion: No external assessor or certification services.
Upsell: I-05 + R-03
Enterprise Platform Build
Multi-subscription platform with policy automation.
Exclusion: No 24/7 managed operations.
Upsell: R-04 Elite Transformation Office
Secure Platform Pod
Blended architecture and engineering pod tied to outcomes.
Exclusion: No permanent staff replacement.
Upsell: Future marketplace access
AI Decision-to-MVP Accelerator
Nine-question technology selection, scenario design, and governed pilot implementation.
Exclusion: No enterprise-wide rollout.
Upsell: I-10 AI Governance and Trust Baseline
Bundle Economics for ACV Growth
Bundles are pre-priced to reduce buying friction and move teams from assessment to implementation with clear value transfer.
B-01: Audit to Foundation Credit
Save 15%A-01 + F-01
Why it sells: Fast trust plus implementation handoff.
B-02: Federal FastTrack
Save 10%A-02 + F-02 + I-05
Why it sells: Compliance-first buying motion.
B-03: Secure AI Launch
Save 11%A-03 + I-01 + I-05
Why it sells: AI approval acceleration.
B-06: AI Strategy to Governed Pilot
Save 10%A-03 + I-07 + I-08
Why it sells: Executive-backed AI roadmap with target architecture.
Commercial guardrails before proposal
Aligned with RedDogSME contract playbook defaults for payment terms, scope control, and risk limits.
- •Payment terms: Assess upfront, Build 50/50, Retainer monthly upfront.
- •Scope changes require signed change order before execution.
- •No uncapped liability; cap defaults to fees paid in prior 12 months.
- •Client owns paid deliverables; RedDogSME retains reusable platform methods.
- •Objective acceptance criteria in SOW with bounded review window.
Why Fixed Pricing Works
You buy accountable outcomes, not billable drift.
RedDogSME
- Fixed-price statements of work with milestone acceptance criteria
- Explicit exclusions and upgrade routes before signature
- Senior architecture ownership through delivery and handoff
- Package matrix supports faster, defensible buying decisions
Hourly Consulting
- Time-based billing with uncertain final spend
- Budget pressure from scope interpretation changes
- Resource swapping risk across project phases
- Higher forecasting and approval friction
DIY Hiring
- Hiring and onboarding lag before delivery can start
- Single-point knowledge concentration risk
- Continuity dependency on retention outcomes
- Longer time-to-value on strategic initiatives
Lead with RECON, credit into implementation where indicated, and expand into recurring pods only when governance and adoption KPIs are met.
Common buying objections, answered
How do we know scope will not drift?
Each engagement includes fixed deliverables, exclusions, and acceptance criteria in the SOW. Scope changes require formal change order approval.
What if the RECON audit finds limited value?
RECON includes a risk-reversal guarantee. If fewer than three actionable improvements are identified, refund conditions apply under the SOW.
Can we apply RECON spend toward implementation?
Yes, eligible implementation packages can credit RECON fees when stated in the signed scope.