0–15 days
Foundation & momentum
Offerings live, alliance activated, target accounts identified.
Execution timeline
60 days
Two-week sprint
First deals closed, delivery activated, projects in execution.
90 days
Present & earn
Revenue realized, Managed Services launched, scale decision made.
30 days
Matched & trained
Active pipeline, proposals and estimates delivered.
Early staffing and presales wins are structured to offset engagement costs within the first 90 days. Directional only — figures are illustrative.
Execution timeline
Staffing
20–30%
Gross margin · predictable cash flow
Gross margin · strong uplift vs staffing alone
30–40%
Project implementation
Gross margin · recurring, predictable revenue
35–45%
Managed services
Advisory Area 3
Fractional Practice Management
Build a Microsoft practice without building the overhead. Embedded offering leadership, outcome-based presales, and fractional delivery — activated only when you're closing work.
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Embedded offering leadership — acts as extension of your team
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Weekly working sessions and live participation in pursuits
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Access to D365 collateral, demo systems, and solution architects
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Ongoing GTM, pricing, and pipeline shaping
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Continuous Microsoft field and partner engagement
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Presales support provided upfront — compensation triggered only when projects close
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Joint pursuit qualification and deal shaping
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Solution architecture, estimates, and proposal development
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Client presentations, negotiations, and Microsoft co-sell motion
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Delivery leadership activates only when projects are sold — no bench cost
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Lean onshore contract leadership + offshore teams (Central Europe, Africa, South America, Asia)
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Governance, quality, and margin oversight
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Transition planning into Managed Services
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D365 staffing: permanent, contract, contract-to-hire
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D365 Sales, CS, Finance, Field Service, Supply Chain, Business Central
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Copilot Studio, Power Apps, Power Automate, Power BI, Microsoft Fabric
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Implementation: assessments, mid-size builds, and large enterprise programs
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Managed Services: post-implementation support, enhancements, optimization
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Advisory Services
Technology advice that's earned, not theorized.
20+ years of hands-on enterprise delivery. We combine deep Microsoft expertise with emerging AI capabilities to help you move faster, smarter, and with less risk.
70%+
Reduction in processing time — intelligent intake, in production today.
90 days
From zero D365 practice to closed deals and Managed Services launched.
20+ yrs
Architect-level leadership across global enterprise programs.
Advisory Area 1
DURATION
3 weeks · guided sprint
Agentic AI advisory
Agentic AI isn't coming — it's here. We help organizations understand where to start, what architecture is needed, and how to scale AI agents responsibly across the enterprise.
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Understand the agentic AI ecosystem and where it applies
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Identify high-value automation opportunities
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Prioritize use cases by ROI and feasibility
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Define value hypotheses and adoption strategies with leadership
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Agent lifecycle framework and RACI model
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Benchmarking against industry peers
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Capability building for internal teams
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Continuous optimization: data, prompts, KPIs
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Copilot Studio orchestration design
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Prompting, retrieval and grounding strategy
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Azure AI Search / Azure OpenAI / D365 Dataverse patterns
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Safety guardrails, access controls, compliance architecture
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Multi-agent collaboration models
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Cost takeout analysis and quantification
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Cycle-time reduction modeling
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Employee productivity improvements
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Customer experience uplift measurement frameworks
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MVP definition and pilot governance
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Architecture evolution planning
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Scaling strategy across sales, service, ops, HR, finance, supply chain
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Advisory Area 2
CRM and Dynamics 365 Advisory
Modern CRM is a system of intelligence, not just a system of record. With 20+ years of D365 delivery experience, we help you maximize your Microsoft investment and build something that actually works for your business.
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CRM roadmap and capability model
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Sales and service process alignment
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Customer journey mapping and data strategy
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Centre of Excellence design and governance
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D365 Sales: pipeline, forecasting, CPQ, relationship insights
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D365 CS: omnichannel, case management, field service integration
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Power Apps and Dataverse custom apps
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Azure + Dataverse architecture
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ERP/HR/finance/LOB integrations
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Solution architecture and data model review
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Performance, scalability, and security analysis
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Role model and compliance evaluation
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Adoption and change management strategy
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Standards, guardrails, build vs buy guidance
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Environment strategy and ALM governance
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Iterative enhancement and release cycle design
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