LongTermSoftware.com
Pricing for AI Consulting and Software Modernization
See current public starting prices for assessments, .NET and SQL modernization blueprints, reviewed AI workflows, governed RAG, reviewer applications, AI evaluation, and architecture access.
Package pricing
Keep package scope and starting prices clear before a sales conversation.
LongTermSoftware publishes starting prices to help buyers qualify the fit and brief internal stakeholders. Final scope still requires human review; the amounts are planning floors, not fixed bids, guarantees, certifications, or service-level agreements.
Best default first step
AI and Modernization Assessment — from $15k.
Use it before a rewrite, migration, AI pilot, RAG build, reviewer app, or retainer decision.
Book a 20-minute fit call
2-week entry engagement
AI and Modernization Assessment
Starting from $15k; detailed ranges belong in the buyer packet.
- Timeline
- Typical duration: 2 weeks.
- Best for
- Teams that need a first move without a broad transformation program.
- Core outputs
- Risk map, Use-case shortlist, Integration seams
See scope and pricing
Legacy-system risk reduction
.NET / SQL Modernization Blueprint
Starting from $30k.
- Timeline
- Typical duration: 3–5 weeks.
- Best for
- Application owners facing rewrite pressure, undocumented rules, or fragile release paths.
- Core outputs
- Service seams, Parity risk map, Test strategy
See scope and pricing
Review-first pilot
Human-Reviewed AI Workflow Accelerator
Starting from $55k.
- Timeline
- Typical duration: 6–8 weeks.
- Best for
- Teams with one internal workflow where AI output could help but cannot be trusted blindly.
- Core outputs
- Prompt contracts, Retrieval pattern, Reviewer UI spec
See scope and pricing
Source-governed retrieval
Governed Knowledge / RAG Foundation
Starting from $75k.
- Timeline
- Typical duration: 8–10 weeks.
- Best for
- Knowledge, support, compliance, product, or engineering teams with scattered internal context.
- Core outputs
- Provenance metadata, Trust labels, Retrieval design
See scope and pricing
Internal AI product
AI Reviewer App MVP
Starting from $95k.
- Timeline
- Typical duration: 8–12 weeks.
- Best for
- Organizations ready to build a concrete internal AI tool rather than another detached chat surface.
- Core outputs
- Typed UI, Auth-aware workflow, Audit trail
See scope and pricing
Measure before scaling
AI Evaluation and Reliability Program
Starting from $60k.
- Timeline
- Typical duration: 6–10 weeks.
- Best for
- Teams already piloting AI but lacking measurable release gates and operational confidence.
- Core outputs
- Metric families, Test sets, Drift checks
See scope and pricing
Ongoing delivery stewardship
Fractional AI / Modernization Architect
Starting from $45k per quarter.
- Timeline
- Typical structure: quarterly retainer.
- Best for
- Companies that need senior architecture pressure without hiring a full-time executive or launching a large consultancy program.
- Core outputs
- Weekly reviews, Decision memos, Backlog repair
See scope and pricing
Ad hoc architecture help
$150/hour
Focused architecture review, decision support, code/design discussion, or targeted modernization triage.
Boundary: Best for narrow questions; not a substitute for a fixed-scope assessment or implementation plan.
Monthly advisory minimum
From $2,000/month
Recurring advisory access for teams that need periodic architecture pressure and review.
Boundary: Scope and cadence must be confirmed before engagement.
Annual modernization support minimum
From $3,200/month
Long-running modernization support where backlog, testing, and architecture decisions need continuity.
Boundary: Not a managed-service or staff-augmentation bench by default.
Fractional AI / Modernization Architect
Starting from $45k per quarter
Weekly architecture reviews, decision memos, backlog repair, vendor/model decisions, and executive updates.
Boundary: Scope, cadence, responsibilities, and exclusions are confirmed in the written proposal.
What can change scope?
Number of systems, stored-procedure complexity, regulated-data exposure, review workflow depth, integration count, and deployment constraints.
Public starting points
Package starting points are $15k, $30k, $55k, $75k, $95k, $60k, and $45k per quarter for the corresponding engagements.
What happens next?
Start with a fit call, then use assessment or blueprint scope only when the evidence supports a paid engagement.
We need to understand rewrite risk before funding modernization.
AI and Modernization Assessment
Starting from $15k
Review scope and deliverables
We have SQL-heavy business logic and no reliable parity coverage.
.NET / SQL Modernization Blueprint
Starting from $30k
Review scope and deliverables
We want AI assistance, but output must be reviewed before use.
Human-Reviewed AI Workflow Accelerator
Starting from $55k
Review scope and deliverables
We need internal knowledge retrieval with source visibility.
Governed Knowledge / RAG Foundation
Starting from $75k
Review scope and deliverables
We need a reviewer workbench with typed states and audit trails.
AI Reviewer App MVP
Starting from $95k
Review scope and deliverables
We already have teams, but need recurring senior architecture governance.
Fractional AI / Modernization Architect
Starting from $45k per quarter
Review scope and deliverables
Normally included
- Named artifacts and review points
- Documented scope, timeline, responsibilities, and exclusions
- Public price floor and package-specific buyer fit
- Private handling path when system evidence requires it
Normally excluded unless scoped
- Penetration testing or legal advice
- Compliance or safety certification
- Unlimited production support or managed-service SLAs
- Unrestricted autonomous production actions
Before a proposal
- Confirm buyer decision and system owner
- Identify sensitive-data handling needs
- Clarify evidence and integration access
- Choose fixed package, advisory, or no-go path
Why publish starting prices?
Public price floors help buyers self-qualify and prepare internal discussions before a sales call. They are planning posture, not fixed bids.
What most often expands scope?
Additional systems, undocumented SQL behavior, regulated-data handling, identity integration, review-workflow depth, deployment constraints, and evidence requirements.
When is assessment-first recommended?
Assessment-first is recommended when the problem spans several systems, the business rules are not mapped, or the buyer is comparing several AI or modernization paths.
When does a fixed package fit?
A fixed package fits when the buyer problem, owners, evidence access, systems, and deliverable boundaries are sufficiently clear.
When is advisory access a better fit?
Advisory or retainer access fits when an internal team already owns implementation and needs recurring senior review, decision support, or roadmap governance.
Does regulated data change the commercial process?
It can. Sensitive environments may require secure channels, additional review, restricted access, or client-controlled tooling that changes scope and timeline.
Next step
Start with a short fit call, then scope the assessment.
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