LongTermSoftware.com
Compare LongTermSoftware packages for .NET and SQL modernization, human-reviewed AI workflows, governed knowledge/RAG, AI evaluation, reviewer applications, and principal-led architecture.
Service phases
Services are grouped by buyer stage so teams can identify the smallest credible starting point without decoding the full catalog at once.
Use this when the system risk is unclear, legacy behavior is fragile, or the team needs a credible first move before a rewrite or AI pilot.
Use this when the team already has a candidate workflow, knowledge base, or internal review app that must remain human-reviewed and source-bound.
Use this when AI pilots or modernization work need rubrics, release gates, recurring review, and executive-level architecture pressure.
Which service fits?
Use these entry paths to decide whether the first conversation should be assessment, modernization, AI workflow, or governed knowledge.
Not sure where to start
Best first step when risk spans legacy systems, internal AI, knowledge, and governance.
Legacy platform risk
Best fit for Web Forms, Classic ASP, VB.NET, stored procedures, and hidden business rules.
AI workflow risk
Best fit when AI should draft or classify but a human must approve before use.
Knowledge and RAG risk
Best fit when documents and SOPs need source labels, retrieval rules, and review states.
Search-aligned solution guides
These pages use conventional buyer and search terminology while the package pages remain the source of scope, timeline, pricing, and deliverables.
Modernize brittle .NET, SQL Server, Web Forms, Classic ASP, and VB.NET systems by mapping current behavior, hidden business rules, service seams, parity tests, and staged release decisions.
Get principal-led support for aging .NET and SQL systems, recurring architecture decisions, database risk review, testing strategy, delivery repair, and modernization governance.
Design human-reviewed AI workflows with visible sources, explicit blocked actions, named approval ownership, audit events, escalation paths, and limited downstream authority.
Build retrieval-augmented generation with source ownership, access control, provenance, trust states, citations, stale-content handling, evaluation, refusal rules, and human escalation.
Evaluate AI workflows with representative test sets, source-support and refusal checks, blocked-action tracking, reviewer agreement, drift monitoring, release thresholds, and rollback rules.
Service ladder
Each package includes buyer fit, scope boundaries, deliverables, and public starting-price language. Final scope still requires review.
2-week entry engagement
A fixed-scope assessment for legacy systems, internal AI workflows, governed knowledge, or AI reliability before committing to a build.
Scope boundary: Not a replacement for implementation, penetration testing, legal review, or compliance certification.
Legacy-system risk reduction
A modernization plan for brittle .NET, SQL Server, Web Forms, Classic ASP, VB.NET, or stored-procedure-heavy systems that cannot casually change behavior.
Scope boundary: Not a rewrite guarantee; implementation scope should follow the blueprint and be validated by tests.
Review-first pilot
A scoped AI workflow where generated output is drafted, reviewed, accepted, rejected, or blocked before it affects production work.
Scope boundary: Not a fully autonomous system; high-impact outputs stay human-reviewed.
Source-governed retrieval
A knowledge foundation for documents, SOPs, policies, code notes, and support content that need provenance and trust labels, not generic vector sprawl.
Scope boundary: Not a promise that AI answers are always correct; retrieval output remains source-bound and reviewable.
Internal AI product
A reviewable internal AI app such as a documentation reviewer, analyst assistant, triage workbench, or migration-note reviewer with typed UI and audit trails.
Scope boundary: Not a public production outcome claim until deployed, tested, and reviewed in the client environment.
Measure before scaling
A reliability program for AI pilots that need rubrics, fallback rules, drift checks, trace models, blocked-action logging, and reviewer worksheets.
Scope boundary: Not a safety certification or formal compliance certification.
Ongoing delivery stewardship
Quarterly architecture stewardship for vendor/model decisions, backlog shaping, code and data review, governance oversight, and executive updates.
Scope boundary: Not a staff-augmentation bench or managed-service replacement.
Common foundations
The package changes, but the delivery posture stays consistent.
Visible scope boundaries and explicit exclusions.
Source-bound evidence and named system owners.
Human review where output can affect customers, data, money, compliance, or operations.
Regression and parity thinking for legacy behavior.
Practical integration with existing systems rather than detached demos.
Measurable acceptance criteria, failure states, and rollback considerations.
Artifact-driven delivery that can be reviewed and handed off.
Small credible steps instead of broad transformation rhetoric.
Technical environments supported
These environments describe common fits, not a guarantee that every technology or deployment pattern is supported without review.
Security and governance
Public packages do not promise certification or universal safety. They define implementation controls that can be reviewed by engineering, security, compliance, and business owners.
Generated drafts, recommendations, classifications, and summaries do not automatically become production actions.
Each workflow identifies which sources are allowed, what evidence must be visible, and when an answer should refuse or escalate.
Public forms and diagnostics must not receive secrets, credentials, PHI, private code, or regulated records; sensitive work moves to an approved private channel.
A workflow receives only the access required for its bounded task, with privileged writes and irreversible actions gated separately.
What happens after the first engagement
A first package should produce a decision, not pressure the buyer into a predetermined transformation program.
Use when assessment evidence shows legacy behavior needs deeper mapping before implementation.
Use when one workflow has clear sources, reviewers, authority boundaries, and measurable acceptance.
Use when implementation exists but release gates, drift checks, or recurring architecture review are missing.
Use when value, evidence, access, ownership, or risk does not support the next package.
Package selection FAQ
No. It is the best default when risk or scope is unclear. A blueprint, workflow pilot, evaluation program, or advisory path may fit when the problem and evidence are already well defined.
Yes when the workflow is narrow, owners and sources are clear, and acceptance can be defined. Complex legacy modernization generally benefits from a blueprint first.
No. They are public planning floors. Final scope, responsibilities, exclusions, and commercial terms are defined after review.
Yes. Public-safe narratives are separate from private project evidence, which can be reviewed through an approved secure channel and contract boundary.
Choose a starting point
Next step
The first conversation should decide whether the next step is a fixed-scope assessment, modernization blueprint, governed AI pilot, or reliability review.
Book a 20-minute fit call