Software Project Rescue and Vendor Handover Services

Our team facilitates complete credentials transfer to ensure your internal access is fully secured.

• Access and ownership transfer. We use a checklist to make sure all critical project assets are transferred.
• Parallel transition during notice period. We run the takeover in parallel with your outgoing vendor, so access changes hands without halting delivery.
• Codebase and knowledge reconstruction. We rebuild the system map from commit histories, PR discussions, infrastructure files, schemas, and live API traffic when no documentation or handover exists.
• Uncooperative exit and dispute recovery. We manage difficult vendor exits, disputes, or IP transfer demands. We draw the line early between what engineering can recover and what may need legal escalation.
• Contract, jurisdiction, and MSA governance review. We review cross-border jurisdiction, MSA terms, IP assignment triggers, and escrow provisions to prevent transfer surprises.

We agree on the assessment scope before we start a software project recovery. Stabilization is separate.

• Getting to the root of delivery issues. We get to the root of why delivery stopped by looking at the code, the release process, and the vendor relationship.
• Risk and fragility map of the codebase. We identify the parts of the system that break most often by analyzing commit and incident histories rather than relying on code reads alone.
• Release and environment map. We document how changes reach production, highlighting manual steps, missing procedures, or steps that only one person knows how to run.
• Actionable recovery roadmap. The report gives you a prioritized recovery plan, cost estimate, and clear next steps.
• Stay-refactor-rebuild recommendation. A clear recommendation backed by documented findings.

SAPinsider’s 2026 benchmark shows that 55% of organizations are deploying S/4HANA, but only 34% have completed their transition. That gap is where programs often lose momentum: scope shifts, data issues surface, and migration work gets stuck halfway.

• Cutover state audit. We compare transport logs with module transaction volumes to confirm which parts of the system handle live work, so you can see what has actually been migrated and what hasn’t.
• Data migration integrity. We compare the migrated data with the source system, so Finance knows which numbers it can trust.
• Custom extension review. We check which custom extensions are used and which ones block the upgrade.
• Integration and interface map. Using middleware configs and live traffic, we map all interfaces to identify manual steps and unowned processes that break order or inventory flows.
• Program governance reset. The result is a steering-committee-ready plan with clear decision rights and work sequenced by dependency.

AI-generated code can help teams move fast early—and leave them paying the price later. During a vendor rescue, we identify what’s slowing new features and fix the underlying issues.

• AI-generated code inventory. We spot AI-generated code using commit patterns and structural indicators, so engineers spend their time reviewing the code that needs the most attention.
• Secret and credential sweep. We scan your full commit history to find exposed keys deleted from current files but remaining in git logs, assigning rotation owners and deadlines for each key.
• Security review of generated code. We prioritize vulnerabilities by their accessibility in production, so your team gets a short list of issues that need fixing.
• Architecture consolidation. We identify duplicate business logic based on runtime behavior rather than text similarity, so we can consolidate duplicate code and make future changes easier.
• Guardrails for continued delivery. The payoff is faster delivery with fewer defects. We bake code reviews and automated test gates into the CI/CD pipeline.

MIT’s State of AI in Business report shows that 95% of generative AI pilots produce no measurable business value. Our AI Solution Accelerator™ and recovery process help turn these investments into scalable enterprise tools.

• Failure classification. We analyze telemetry and stakeholder feedback to determine if issues stem from model performance, data quality, or user adoption…before you throw more money at the problem.
• Data asset review. We check data origins and verify that labels align with business definitions, so you know what’s worth carrying forward and what to cut.
• Model and evaluation audit. We evaluate models against test datasets and compare results with manual processes, so leadership has a number to judge the model.
• Production readiness gap. We estimate what monitoring and integrations will cost at production scale, so you can decide whether the project is worth continuing.
• Governance and documentation. You come out with audit-ready documentation, including live model inventories and decision logs mapped to the EU AI Act and NIST AI RMF.

Unresolved security issues delay sales deals and block procurement approvals. A smooth vendor handover often reveals failed penetration tests or compliance gaps, which we fix to keep deals moving.

• Credential rotation after handover. We rotate all credentials held by the outgoing vendor using our handover access inventory, removing former contractor access on a set schedule.
• Findings triage. We separate real production exposure from noise, then tackle the risks that can actually hurt you.
• Dependency and license position. We inspect your full dependency tree to uncover end-of-life packages and license terms that conflict with your commercial model.
• Audit readiness gap analysis. We measure your compliance gap for SOC 2, HIPAA, or NIST, assigning clear owners and effort estimates to each required control.
• Evidence and logging. We automate access logging and deployment tracking to deliver continuous audit evidence without manual preparation.

We transfer cloud accounts to your ownership during handover. We also take control of cloud spend early, so you know exactly what you’re paying for.

• Billing ownership transfer. We transfer payer accounts and reserved capacity from the vendor to you during the notice period, ensuring uninterrupted service.
• Resource inventory. We catalog all active cloud services, storage buckets, and server instances to give you a full overview of your infrastructure.
• Unused and orphaned spend. If a resource is sitting idle, we shut it down so you stop paying for infrastructure you don’t need.
• Environment consolidation. We streamline active environments based on your documented release process, replacing redundant legacy setups.
• Cost baseline after handover. We provide a usable monthly cost baseline broken down by service and environment to support stay-vs-rebuild decisions.

For buyers and investors, we use the same assessment to answer a different question: what are you actually buying?

• Build reproducibility and test coverage. We test building the system from scratch to uncover hidden dependencies and confirm whether external teams can maintain the codebase.
• Architecture and scalability limits. We stress-test the data model and historical load data to identify architectural limits under future growth.
• IP and license position. We audit contributor agreements and open-source licenses across git history to confirm legal ownership and compliance before closing the deal.
• Key-person and delivery risk. We analyze commit distributions to highlight single-developer dependencies and inform key-employee retention strategies.
• Post-close cost model. That puts the repair bill on the table before you sign.

When clients switch software development vendors, one concern comes up again and again: “Are you going to make us rewrite everything?”

• Build reproducibility and test coverage. Whether the codebase builds cleanly from scratch and how thoroughly tests cover functionality.
• Dependency and framework support status. Identifying end-of-life frameworks and confirming whether viable upgrade paths exist.
• Data model integrity. Assessing schema capacity and identifying where structure breaks when adding features.
• Incident and release history. Analyzing 12 months of deployments, rollbacks, and Sev-1 incidents to spot systemic trends.
• Twelve-month cost under each option. Comparing maintenance, refactoring, or full replacement via legacy modernization services. Details are available on our legacy software audit and assessment page.

You get a clear verdict supported by 12-month projections. We recommend a rewrite only when the numbers and technical evidence leave no better option.