Start with a defined product, price, outcome, and next decision.
Dream Beyond packages common technology decisions into bounded assessments, sprints, implementations, and managed engineering. The goal is to make the first commercial step clear before a buyer commits to a larger program.
Commercial progression
Commitment grows only as evidence gets stronger. The shape widens from a bounded diagnosis into implementation and ongoing ownership.
01
Diagnose
Establish evidence, scope, risk, and priorities.
02
Prove
Validate the approach on one controlled production slice.
03
Implement
Deliver the defined production capability.
04
Support
Keep the software observable, changeable, and owned.
Diagnose
Diagnose the decision before committing more budget.
Start with a bounded assessment or discovery sprint when leadership needs evidence, scope, priorities, or a roadmap before implementation.
Diagnose · Assessment
$7,500 fixed
Legacy Application Health Check
The Legacy Application Health Check gives leadership a current view of the architecture, technical debt, concentrated dependencies, reliability constraints, and modernization risk inside an existing application. Dream Beyond reviews the system and produces a prioritized risk map, modernization priorities, and a recommended roadmap that the buyer can use whether Dream Beyond implements the next phase or another team does.
Typical working window: within 2 weeks after access to the relevant application, technical artifacts, environments, and key stakeholders.
The AI Opportunity Assessment maps important workflows, identifies where AI can reduce effort or improve a business process, and ranks those opportunities by expected value, feasibility, data readiness, system access, risk, and implementation complexity. The result is a practical roadmap that identifies which opportunities should come first and what must be true before each one moves into production.
Typical working window: within 2 weeks after access to representative workflows, system owners, data context, and business stakeholders.
The Application Rescue Assessment establishes the technical and delivery facts behind a troubled software initiative. Dream Beyond reviews the implemented system, codebase, architecture, data, integrations, environments, tests, delivery status, and ownership, then determines what can be preserved, what must be stabilized or replaced, and what recovery sequence gives leadership the safest path forward.
Typical working window: 2 to 3 weeks after access to the codebase, environments, project evidence, and the people responsible for delivery and business acceptance.
The Custom Software Discovery Sprint converts an unclear application idea or operational problem into an executable implementation plan. Dream Beyond maps requirements, users, workflows, data, system boundaries, integrations, architecture direction, delivery backlog, assumptions, and implementation estimate so the buyer can move into delivery with a defined scope or use the package to obtain competitive implementation bids.
Typical working window: 2 to 3 weeks with access to business stakeholders, current workflows, representative systems, and decision owners.
The Azure Architecture & Cost Review examines the current cloud architecture, major workload dependencies, cost drivers, reliability posture, security-relevant design choices, deployment model, and operational controls. Dream Beyond turns those findings into prioritized remediation opportunities so leadership can see where architecture, resilience, security, and Azure spend can be improved before approving a larger cloud initiative.
Typical working window: within 2 weeks after access to the relevant Azure architecture, cost data, deployment context, and technical stakeholders.
The Microsoft Fabric & Power BI Assessment reviews the current data and reporting environment, identifies where trust or scalability breaks down, and defines a practical target architecture. Dream Beyond documents priority data sources, KPI and semantic-model needs, reporting responsibilities, Fabric or Power BI opportunities, governance concerns, and a sequenced roadmap for building a reporting foundation leadership can rely on.
Typical working window: within 2 weeks after access to representative data sources, reports, KPI owners, and current Microsoft data-platform context.
The System Connection Audit examines one defined handoff between two systems and one business transaction. Dream Beyond maps ownership, identifiers, data movement, timing, failure points, manual work, reconciliation, and downstream business consequences, then produces a bounded fix plan with acceptance criteria and a technical path for implementation.
Typical working window: within 5 business days after access to the two systems, representative transaction evidence, and the people who own the workflow.
Prove the approach on a controlled production slice.
Use a bounded sprint to validate one workflow, integration, or modernization approach before expanding into a broader program.
Prove · Sprint
Starting at $12,500
AI Workflow Automation Sprint
The AI Workflow Automation Sprint selects one defined business workflow and automates it using AI, agents, APIs, orchestration, or conventional automation as appropriate. Dream Beyond establishes the current process, measurable success criteria, system boundaries, exceptions, approvals, and production controls before implementation so the sprint can deliver one observable workflow improvement without allowing adjacent scope to consume the engagement.
Typical working window: approximately 3 to 4 weeks after the workflow, systems, access, and measurable acceptance criteria are agreed.
The Integration & API Sprint connects one defined business workflow across selected systems. Dream Beyond maps system ownership, authentication, data contracts, timing, idempotency, retries, exception states, reconciliation, monitoring, and operating ownership, then implements the bounded production integration with documentation so the business is no longer relying on people to move critical state between those systems manually.
Typical working window: approximately 3 to 4 weeks after the systems, workflow boundary, access, APIs, and acceptance criteria are confirmed.
The Legacy Modernization Sprint selects one meaningful module, service, or bounded application component and modernizes it under explicit acceptance criteria. Dream Beyond uses the slice to validate architecture, dependencies, testing, deployment, compatibility, data or integration concerns, and the operating transition so leadership can evaluate the modernization approach on real software before expanding the program.
Typical timing is defined from the selected slice, dependencies, environments, and acceptance criteria before the sprint is committed.
Move into production AI or Microsoft data implementation after the business responsibility, architecture, and acceptance criteria are clear.
Implement · Implementation
Starting at $20,000
AI Agent Implementation
AI Agent Implementation delivers a production agent around one clearly defined business responsibility and measurable success criteria. Dream Beyond designs the agent's tools, system integrations, data access, identity, authority boundaries, approval steps, evaluation, observability, exception handling, and operating ownership so the agent can perform useful work inside the business without relying on an uncontrolled demonstration architecture.
Implementation timing is defined after paid discovery or clearly agreed workflow, system, authority, data, evaluation, and acceptance criteria are established.
Microsoft Fabric / Power BI Implementation delivers a production reporting foundation around agreed business KPIs and data responsibilities. Dream Beyond designs and implements the required ingestion or transformation pipelines, semantic model, reporting layer, dashboard experiences, access and governance foundation, validation, and operating documentation so the organization can move from fragmented reporting toward a controlled Microsoft data environment.
Implementation timing is defined from the selected sources, KPI scope, target architecture, data quality, reporting requirements, security, and rollout sequence.
Use ongoing engineering capacity when the application needs predictable development, fixes, technical oversight, and continuity.
Support · Managed Engineering
Starting at $5,000/month
Managed Application Engineering
Managed Application Engineering provides ongoing engineering capacity for software the business depends on. Dream Beyond can take responsibility for a defined mix of development, fixes, enhancements, technical oversight, release support, architecture decisions, and operational continuity under clear capacity and service boundaries, giving leadership a predictable engineering relationship without requiring the company to rebuild an internal team before work can continue.
Engagements can begin month to month or with a defined initial term, with capacity, priorities, escalation, support expectations, and service boundaries agreed before work begins.
Each product shows a fixed or starting price so a buyer can self-qualify before a sales conversation.
Useful standalone output
Assessments and discovery products produce artifacts the buyer can use even when Dream Beyond does not perform the next phase.
Explicit expansion
Additional systems, workflows, or responsibilities require a new scope decision with explicit commercial approval.
Need a larger custom engagement?
Large application builds, enterprise transformations, and multi-system programs are scoped around the actual operating and technical boundary, with pricing built from that defined scope.
