Execution-ready blueprints.
Not strategy decks.

Knowing what needs to change isn't the same as knowing how to follow through with it. A defined problem still has to become a plan a team can execute: the right architecture, the right sequence, the right place to start. Most engagements stall in the gap between a clear diagnosis and an empty backlog. SourceFuse uses Discovery Sprints to move through the gap fast, turning the problem into something your team can act on. That's the difference between a plan and a wish list.

  • 2 - 4 Weeks Sprint
  • AI-Accelerated Discovery
  • Discover
  • 2 – 4 Weeks
  • Collaborative

A Discovery Sprint is a short, focused engagement scoped to a specific pillar and workstream.

It uses the same AI tools and accelerators that power our delivery so the output isn’t produced by a consulting team working separately from the build team. The result is a set of artifacts that an engineering team can execute against immediately.

DISCOVER

Most Expensive Mistake Is Committing To Build Before You Know What To Build

A Discovery Sprint changes that equation.

Before a single line of production code is written or a migration is executed, SourceFuse runs a 2 to 4 week sprint that produces the artifacts that make everything downstream faster, cheaper, and less risky.

  • Architecture Diagrams
  • PoC (where feasible)
  • Tailored Delivery Plan
  • TCO Models

Built using the same AI tools and accelerators we use in the build itself. The sprint ends with an execution-ready output your team can fund immediately.

Observed scenarios

You have a defined workstream, modernization, a product build, a data platform, a DevOps overhaul, but no architecture or delivery plan you can actually fund.

You've been given a vendor SOW with a scope that was written before anyone looked at your environment.

You have a deadline, SQL Server 2016 EOL, an AI pilot mandate, a board commitment, and you need to move fast without making expensive architecture mistakes.

You want to see a proof of concept before you commit to a full engagement. You need to validate that the approach works in your environment.

The 4 Pathways to Discover

SPRINT: One DURATION: 2–4 Weeks

AI-Led Legacy Modernization

Trigger

You have legacy applications, infrastructure, or databases that are slowing delivery, driving up cost, or blocking AI readiness.
Or you're facing a hard deadline; SQL Server 2016 EOL (July 2026), VMware exit, Windows dependency.

WHAT YOU GET

A clear picture of your legacy estate; what exists, what it's costing you, and what needs to happen first. You leave with:

  • Dependency map
  • 5R classification
  • TCO model
  • Target-state architecture
  • Phased roadmap you can fund immediately
  • Powered by SF Agents, Partner Tooling, and the ARC accelerator stack
SPRINT: Two DURATION: 2–4 Weeks

AI-Powered Product Development

Trigger

You have a product to build or a SaaS platform to launch.

You need architecture aligned to business goals, a realistic scope and timeline, and confidence that delivery will move fast without cutting corners.

WHAT YOU GET

A future-state architecture designed around your product goals

  • Clear technology stack recommendation
  • Working proof of concept where feasible
  • Formal SOW with team composition, timeline, and cost model
  • Assessment of which requirements get uncovered and how they are prioritized
  • Powered by SF Agents, Partner Tooling, and the ARC accelerator stack
SPRINT: Three DURATION: 2–4 Weeks

Data & AI Solutions

Trigger

You want to get value from AI copilots, analytics, agentic workflows, predictive models but you're not sure if your data foundation is ready, what use cases to prioritize, or how to get from a PoC to a governed production system.

WHAT YOU GET

An honest assessment of your data maturity and what it can support today.

  • Prioritized AI use case list ranked by business value and feasibility
  • Scoping for the highest-priority GenAI use cases
  • Scoping for agentic solution architecture, governance, and an execution plan to take it to production
  • Powered by SF Agents, Partner Tooling, and cloud-native data platform tooling aligned to your environment
SPRINT: Four DURATION: 2–4 Weeks

DevOps & Platform Engineering

Trigger

Your delivery pipeline is slow, fragile, or inconsistent.

Your infrastructure isn't ready to support modern product delivery or managed operations.

Or you're evaluating whether to move to AIOps-led managed services post-go-live.

WHAT YOU GET

A clear view of your DevOps maturity, delivery capabilities, and operational risks.

  • DevOps maturity scorecard
  • CI/CD pipeline redesign blueprint
  • Observability gap analysis
  • Operational risk register
  • MSP readiness assessment
  • Powered by SF Agents, Partner Tooling, and a cloud-native tech stack

What Takes Most SIs Months, We Deliver In Weeks.

Working with other partners

  • A simple slide deck with recommendations you cannot execute against
  • Multiple handoffs with lost context you have to repeat with each stage
  • Months of assessments and scoping
  • Subtle bias toward particular cloud platforms
  • A report tailored to your specific business and ambition, backed by market intel

A SourceFuse engagement

  • Architecture docs, dependency maps, TCO models, AI-generated backlog items (where possible).
  • The same architects who assessed your landscape lead the build.
  • 2–4 week sprints using AI tooling, accelerators, and 20+ years of industry experience.
  • A cloud-agnostic assessment of your environment.
  • Outputs engineered to your specific environment and findings.

The SourceFuse advantage

  • You can fund the next phase immediately. Nothing needs to be re-created.
  • Zero context lost. No re-explanation. No gap between what was assessed and what gets built.
  • You’re in execution within a month, not a quarter.
  • You get the right recommendation, not the one aligned to a partner incentive.
  • Every sprint output is reused directly in delivery, not translated from a template.

Ready to scope your sprint?

Know your workstream. Ready to move.