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Data-Ready Blueprint
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Data - Ready BluePrint

AI Managed Services Agreement

Put AI to Work Inside Your Business Applications, a structured, fixed monthly engagement where CloudFronts identifies, builds, deploys, and continuously improves AI agents - grounded in your own data, inside your existing Dynamics 365, Azure AI Foundry, and Databricks environment.

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Your AI Roadmap, Managed End-to-End

Most businesses already have powerful platforms ā€” Dynamics 365, Azure data lakes, Databricks. The gap isn't technology. It's knowing which AI use cases will genuinely move the needle, and having the capacity to build, tune, and sustain them without pulling your core team away from the business.

CloudFronts' AI-First Managed Services Agreement is a 12-month annual engagement with a fixed monthly hours model. We partner with you across the entire AI lifecycle ā€” from the very first discovery workshop through agent design, deployment, adoption monitoring, and iterative improvement. Think AI agents on top of your existing business applications, grounded in your data, with every use case documented, scoped, and signed off before we build anything.

Purpose of the MSA

Establish an annual AI-first managed services model where CloudFronts partners with the you across the full AI lifecycle.

Identify & Prioritize

Discover and rank high-impact AI use cases aligned to business goals.

Design & Build

Architect, prototype, and configure AI agents for Customer applications.

Deploy & Support

Production deployment with managed support within agreed monthly hours.

Continuously Improve

Iterative tuning, adoption tracking, and enhancement of approved AI solutions.

Every engagement phase is included within your fixed monthly hours ā€” from the first workshop to production monitoring.

Deliverables

Discovery & Prioritization Pack
Business challenge definition, process map, risk classification. Documented in a signed-off FRD.
Agent Design Document
Intended use, inputs/outputs, systems, human review checkpoints, assumptions, exclusions.
Configured AI Agent
Hosted in Azure AI Foundry or Databricks, ready for output generation.
Connectors & Integrations
Approved knowledge sources, orchestration configuration for the agreed use case.
Prompt & Guardrail Config
Prompting, grounding, workflow, and guardrails. Prompt training via UAT with user guides and tutorials.
Testing & Evaluation Pack
Sample prompts, UAT scripts, acceptance scenarios, defect log, and remediation notes.
User Guide & Admin Runbook
End-user guide for the agent plus admin/support runbook for triage.
Knowledge Transfer Sessions
Training for business users, administrators, and customer project owners.
Optimization Backlog
Managed backlog for tuning, enhancements, adoption feedback, and iterative improvements.

Service Scope

[xx] Hours/Month

AI-first advisory, solutioning, implementation, tuning, and managed support under an annual contract.

End-to-End Lifecycle

Discovery, prioritization, architecture, prototyping, agent design, prompt config, integration, testing, training, deployment, and ongoing support.

Documented Use Cases

Each AI use case formalized via Work Order or SOW with objectives, personas, data sources, assumptions, exclusions, and acceptance criteria.

Azure AI Foundry / Databricks

Agents deployed in customer-owned environments. Production go-live requires customer approval, environment readiness, and agreed testing.

Adoption Monitoring

CloudFronts tracks AI adoption outcomes, identifies implementation gaps, and works with Customer to drive usage to agreed metrics.

Outcomes & Acceptance

AI-Enabled Capabilities

Design, configuration, deployment, and support of AI capabilities to assist authorized users with agreed business tasks.

Approved Use Cases Only

AI agents used only for documented and customer-approved use cases, with end-user discretion.

Productivity Enhancement Tools

AI agents produce draft summaries, recommendations, analyses, and preliminary business outputs.

Acceptance Criteria

Based on agreed deliverables, successful deployment, test completion, and documentation delivery. Not withheld due to variable AI outputs.

Outputs Are Preliminary

AI-generated content is draft material only, not final or authoritative results.

Benefits Are Intended

Productivity and efficiency gains depend on data quality, user adoption, process adherence, permissions, and third-party platforms.

Human Review Required

Customer and end users must review, validate, and approve all outputs before operational, legal, financial, or compliance use.

Why This Approach Matters

  • Trust is built early and reinforced continuously
  • Organizations don't skip foundational maturity steps
  • Analytics and AI initiatives are scalable and sustainable
  • Business and technical teams stay aligned throughout

SUCCESS STORIES

Explore how CloudFronts has helped organizations strengthen data foundations, improve analytics maturity, and prepare for AI-driven decision-making.

Enabling Trusted, Connected Data

  • Unified systems using Azure Integration Services
  • Improved access to reliable business data
  • Built a foundation for innovation and analytics maturity
View Case Study

Executing Data & Analytics Modernization at Scale

  • Strengthened data foundations
  • Improved analytics maturity
  • Prepared for AI-driven decision-making
View Case Study

WHY CLOUDFRONTS

A Trusted Partner for Your Data & AI Maturity Journey

CloudFronts combines strategy, engineering, and Microsoft platform expertise to help organizations build trust in data and move confidently toward AI-driven outcomes.

We don't just explain the curve, we help you progress along it.

Proven execution across mid-sized enterprises

Deep experience with Azure, Power BI, and data integration

Business-first, maturity-led approach

Know Where You Stand. Know What Comes Next.

Whether you're strengthening data foundations or preparing for AI-led automation, CloudFronts helps you take the next step with clarity.

Talk to our Expert

FREQUENTLY ASKED QUESTIONS

Everything You Need to Know

How are costs and billing structured?
The engagement is a 12-Month Agreement at [xxxx] USD/month. Any approved Time and Materials work outside included hours is billed at [xx] USD/hour. Azure consumption, model usage, storage, and third-party license costs are excluded and borne by the Customer.
What are the Customer's responsibilities?
No. However, AI success depends on the right level of data readiness. CloudFronts helps organizations assess their current maturity and focus on the next logical step, ensuring clean, reliable data before scaling predictive or prescriptive AI use cases.
How is Acceptance Criteria defined?
Acceptance is based on agreed deliverables, successful deployment, test completion, and documentation delivery. It is not withheld due to variable AI outputs inherent to probabilistic systems.
What is the cancellation and renewal policy?
The MSA can be cancelled by either party with a 60-day written notice and a business justification. Renewal protocols involve reviewing utilization, roadmap, and service performance at least 60 days prior to expiry.
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