What we do, and how we do it.
Most AI agencies complicate things. We built Claura to do the opposite—helping businesses cut through the noise and build automation that actually delivers results.
The Process
PHASE 1
Discovery & Foundation
Ingest the legacy codebase, run SME walkthroughs, resolve their contradictions before we build.
PHASE 2
Backend & core services
Generate migration tooling, implement modern REST APIs, harden identity and runtime.
PHASE 3
Frontend reconstruction
Every screen rebuilt in the agreed modern framework, on a single shared component library.
PHASE 4
Integration & cutover
Data migration rehearsed and runnered, integrations re-pointed, CI/CD unified, runbooks delivered.
PHASE 5
Validation & HyperCare
Equivalence and security testing, client-authorised go-live, fixed- duration tiered support.
The Process
PHASE 1
Discovery & Foundation
Ingest the legacy codebase, run SME walkthroughs, resolve their contradictions before we build.
PHASE 2
Backend & core services
Generate migration tooling, implement modern REST APIs, harden identity and runtime.
PHASE 3
Frontend reconstruction
Every screen rebuilt in the agreed modern framework, on a single shared component library.
PHASE 4
Integration & cutover
Data migration rehearsed and runnered, integrations re-pointed, CI/CD unified, runbooks delivered.
PHASE 5
Validation & HyperCare
Equivalence and security testing, client-authorised go-live, fixed- duration tiered support.
The Process
PHASE 1
Discovery & Foundation
Ingest the legacy codebase, run SME walkthroughs, resolve their contradictions before we build.
PHASE 2
Backend & core services
Generate migration tooling, implement modern REST APIs, harden identity and runtime.
PHASE 3
Frontend reconstruction
Every screen rebuilt in the agreed modern framework, on a single shared component library.
PHASE 4
Integration & cutover
Data migration rehearsed and runnered, integrations re-pointed, CI/CD unified, runbooks delivered.
PHASE 5
Validation & HyperCare
Equivalence and security testing, client-authorised go-live, fixed- duration tiered support.
We should aim to get a customer quote here – maybe a testimonial of an existing customer or perhaps even a personal testimonial from soneone about working with Patrick and Boyd
Person
Role at Company
We should aim to get a customer quote here – maybe a testimonial of an existing customer or perhaps even a personal testimonial from soneone about working with Patrick and Boyd
Person
Role at Company
We should aim to get a customer quote here – maybe a testimonial of an existing customer or perhaps even a personal testimonial from soneone about working with Patrick and Boyd
Person
Role at Company
Our Leadership Team
Software modernisation and management experts with decades of combined experience in the software and SaaS space.
Our Leadership Team
Software modernisation and management experts with decades of combined experience in the software and SaaS space.
Our Leadership Team
Software modernisation and management experts with decades of combined experience in the software and SaaS space.
Your questions answered.
What is Paradym Switch?
A platform and engagement model for modernising legacy applications into cloud-native systems without losing business logic. Engagements run through five phases: Discovery, Backend, Frontend, Integration & Cutover, and V alidation & Go-Live. Clients track progress live on Paradym Shift.
Who benefits most?
Software vendors and enterprises running systems that have become hard to change. Typical triggers: rising maintenance cost, attrition of SMEs, compliance or cloud-strategy pressure, acquisition integration, or a prior modernisation that fell short. Common profiles: mainframe, monolithic .NET or Java, bespoke in-house, end-of-life vendor.
How is Switch different from lift-and-shift, transpilation or rewrite?
Lift-and-shift preserves the original constraints. Transpilation produces output no more maintainable than the source. A full rewrite carries high risk because original behaviour is rarely documented. Switch extracts the real business rules, reconciles them with SME knowledge, and rebuilds against a single agreed specification
How does Switch capture what the legacy system does?
The code base is ingested into Switch, which generates a complete code graph and extracts embedded business rules: posting logic, validations, calculations, lifecycle states. In parallel, consultants run recorded SME sessions, module walkthroughs and stakeholder interviews to capture the institutional knowledge code alone doesn't hold.
What if the code, SMEs and docs disagree?
Switch cross-references all three sources and surfaces the conflicts. Discrepancies are mapped, prioritised and resolved jointly with the client before they're carried into the target design — so the modernised system is built against a single agreed specification, not an inherited contradiction.
How long does a typical engagement take?
Most run b etween 6 and 18 months. Actual duration depends on code base size, third-party integrations, whether the target data model preserves the existing schema or replaces it, and client decision pace at architecture and approval gates.
What does my team need to provide?
Four commitments: availab ility of SMEs and engineers at Discovery, UAT and approval gates; access to source code, databases and integration docs; timely decisions on architecture, APIs and UI/UX in agreed windows; and continued operation of the legacy system during parallel development. Specifics are in the SOW.
Which legacy and target stacks do you support?
Switch is stack-agnostic. On the source side, the platform ingests the code base and extracts rules regardless of language or runtime. On the target side, Paradym commits to stacks in common production use, aligned with current industry standards, built on open-source foundations wherever it serves you. Target stack is agreed jointly in Discovery.
Does Switch use AI to generate code, and how do you make it trustworthy?
Yes. AI is used to build the code graph, extract rules and generate migration tooling and code. Trust comes from a gated CI/CD stage that verifies b ehaviour against the extracted business rules. Where the schema is preserved, golden-master testing compares output to the legacy baseline. Where it isn't, targeted b ehavioural test suites are written against the rules.
How is cutover risk managed?
Cutover strategy fits the migration shape. Where the schema is preserved, parallel-running with golden-master comparison is the default. Where the data model changes, Paradym delivers the migration process, tooling and run books and the client retains cutover ownership. Every engagement gets a run book, roll back plan and post-cutover verification.
How do you prove the new system matches the old?
Two patterns. Where the data model is preserved, golden-master testing compares against the b legacy baseline. Where like-for-like isn't possi le, equivalence comes via b ehavioural test suites against the extracted rules. Coverage sign-off is a gated CI/CD stage. Performance testing under realistic load and an OW ASP T op 10 review and pen test precede release.
Where does our data and code reside?
Data residency is selectab le across supported regions: US, Canada, EU and UK. The client's business-logic context does not leave their tenancy within the supported pub lic cloud hosting environment.
Who owns the resulting code and IP?
The modernised application code is owned outright by the client on delivery
What happens after go-live? Do we stay dependent on Paradym?
A fixed-duration HyperCare period follows go-live under tiered P1–P4 SLAs, with daily health reports, weekly status meetings and joint severity adjudication. Beyond HyperCare, ongoing use of Paradym is your choice. Handover includes a pattern cook book, A DRs, recorded walkthroughs, run books and a developer guide.
Can our own developers use Switch after go-live?
Yes. Post-launch, clients can deploy the Switch coding and context engine to their engineering teams, giving every developer AI-assisted context on the modernised code base and business rules to accelerate further development. Switch can continue as your long-term context platform.
Your questions answered.
What is Paradym Switch?
A platform and engagement model for modernising legacy applications into cloud-native systems without losing business logic. Engagements run through five phases: Discovery, Backend, Frontend, Integration & Cutover, and V alidation & Go-Live. Clients track progress live on Paradym Shift.
Who benefits most?
Software vendors and enterprises running systems that have become hard to change. Typical triggers: rising maintenance cost, attrition of SMEs, compliance or cloud-strategy pressure, acquisition integration, or a prior modernisation that fell short. Common profiles: mainframe, monolithic .NET or Java, bespoke in-house, end-of-life vendor.
How is Switch different from lift-and-shift, transpilation or rewrite?
Lift-and-shift preserves the original constraints. Transpilation produces output no more maintainable than the source. A full rewrite carries high risk because original behaviour is rarely documented. Switch extracts the real business rules, reconciles them with SME knowledge, and rebuilds against a single agreed specification
How does Switch capture what the legacy system does?
The code base is ingested into Switch, which generates a complete code graph and extracts embedded business rules: posting logic, validations, calculations, lifecycle states. In parallel, consultants run recorded SME sessions, module walkthroughs and stakeholder interviews to capture the institutional knowledge code alone doesn't hold.
What if the code, SMEs and docs disagree?
Switch cross-references all three sources and surfaces the conflicts. Discrepancies are mapped, prioritised and resolved jointly with the client before they're carried into the target design — so the modernised system is built against a single agreed specification, not an inherited contradiction.
How long does a typical engagement take?
Most run b etween 6 and 18 months. Actual duration depends on code base size, third-party integrations, whether the target data model preserves the existing schema or replaces it, and client decision pace at architecture and approval gates.
What does my team need to provide?
Four commitments: availab ility of SMEs and engineers at Discovery, UAT and approval gates; access to source code, databases and integration docs; timely decisions on architecture, APIs and UI/UX in agreed windows; and continued operation of the legacy system during parallel development. Specifics are in the SOW.
Which legacy and target stacks do you support?
Switch is stack-agnostic. On the source side, the platform ingests the code base and extracts rules regardless of language or runtime. On the target side, Paradym commits to stacks in common production use, aligned with current industry standards, built on open-source foundations wherever it serves you. Target stack is agreed jointly in Discovery.
Does Switch use AI to generate code, and how do you make it trustworthy?
Yes. AI is used to build the code graph, extract rules and generate migration tooling and code. Trust comes from a gated CI/CD stage that verifies b ehaviour against the extracted business rules. Where the schema is preserved, golden-master testing compares output to the legacy baseline. Where it isn't, targeted b ehavioural test suites are written against the rules.
How is cutover risk managed?
Cutover strategy fits the migration shape. Where the schema is preserved, parallel-running with golden-master comparison is the default. Where the data model changes, Paradym delivers the migration process, tooling and run books and the client retains cutover ownership. Every engagement gets a run book, roll back plan and post-cutover verification.
How do you prove the new system matches the old?
Two patterns. Where the data model is preserved, golden-master testing compares against the b legacy baseline. Where like-for-like isn't possi le, equivalence comes via b ehavioural test suites against the extracted rules. Coverage sign-off is a gated CI/CD stage. Performance testing under realistic load and an OW ASP T op 10 review and pen test precede release.
Where does our data and code reside?
Data residency is selectab le across supported regions: US, Canada, EU and UK. The client's business-logic context does not leave their tenancy within the supported pub lic cloud hosting environment.
Who owns the resulting code and IP?
The modernised application code is owned outright by the client on delivery
What happens after go-live? Do we stay dependent on Paradym?
A fixed-duration HyperCare period follows go-live under tiered P1–P4 SLAs, with daily health reports, weekly status meetings and joint severity adjudication. Beyond HyperCare, ongoing use of Paradym is your choice. Handover includes a pattern cook book, A DRs, recorded walkthroughs, run books and a developer guide.
Can our own developers use Switch after go-live?
Yes. Post-launch, clients can deploy the Switch coding and context engine to their engineering teams, giving every developer AI-assisted context on the modernised code base and business rules to accelerate further development. Switch can continue as your long-term context platform.
Your questions answered.
What is Paradym Switch?
A platform and engagement model for modernising legacy applications into cloud-native systems without losing business logic. Engagements run through five phases: Discovery, Backend, Frontend, Integration & Cutover, and V alidation & Go-Live. Clients track progress live on Paradym Shift.
Who benefits most?
Software vendors and enterprises running systems that have become hard to change. Typical triggers: rising maintenance cost, attrition of SMEs, compliance or cloud-strategy pressure, acquisition integration, or a prior modernisation that fell short. Common profiles: mainframe, monolithic .NET or Java, bespoke in-house, end-of-life vendor.
How is Switch different from lift-and-shift, transpilation or rewrite?
Lift-and-shift preserves the original constraints. Transpilation produces output no more maintainable than the source. A full rewrite carries high risk because original behaviour is rarely documented. Switch extracts the real business rules, reconciles them with SME knowledge, and rebuilds against a single agreed specification
How does Switch capture what the legacy system does?
The code base is ingested into Switch, which generates a complete code graph and extracts embedded business rules: posting logic, validations, calculations, lifecycle states. In parallel, consultants run recorded SME sessions, module walkthroughs and stakeholder interviews to capture the institutional knowledge code alone doesn't hold.
What if the code, SMEs and docs disagree?
Switch cross-references all three sources and surfaces the conflicts. Discrepancies are mapped, prioritised and resolved jointly with the client before they're carried into the target design — so the modernised system is built against a single agreed specification, not an inherited contradiction.
How long does a typical engagement take?
Most run b etween 6 and 18 months. Actual duration depends on code base size, third-party integrations, whether the target data model preserves the existing schema or replaces it, and client decision pace at architecture and approval gates.
What does my team need to provide?
Four commitments: availab ility of SMEs and engineers at Discovery, UAT and approval gates; access to source code, databases and integration docs; timely decisions on architecture, APIs and UI/UX in agreed windows; and continued operation of the legacy system during parallel development. Specifics are in the SOW.
Which legacy and target stacks do you support?
Switch is stack-agnostic. On the source side, the platform ingests the code base and extracts rules regardless of language or runtime. On the target side, Paradym commits to stacks in common production use, aligned with current industry standards, built on open-source foundations wherever it serves you. Target stack is agreed jointly in Discovery.
Does Switch use AI to generate code, and how do you make it trustworthy?
Yes. AI is used to build the code graph, extract rules and generate migration tooling and code. Trust comes from a gated CI/CD stage that verifies b ehaviour against the extracted business rules. Where the schema is preserved, golden-master testing compares output to the legacy baseline. Where it isn't, targeted b ehavioural test suites are written against the rules.
How is cutover risk managed?
Cutover strategy fits the migration shape. Where the schema is preserved, parallel-running with golden-master comparison is the default. Where the data model changes, Paradym delivers the migration process, tooling and run books and the client retains cutover ownership. Every engagement gets a run book, roll back plan and post-cutover verification.
How do you prove the new system matches the old?
Two patterns. Where the data model is preserved, golden-master testing compares against the b legacy baseline. Where like-for-like isn't possi le, equivalence comes via b ehavioural test suites against the extracted rules. Coverage sign-off is a gated CI/CD stage. Performance testing under realistic load and an OW ASP T op 10 review and pen test precede release.
Where does our data and code reside?
Data residency is selectab le across supported regions: US, Canada, EU and UK. The client's business-logic context does not leave their tenancy within the supported pub lic cloud hosting environment.
Who owns the resulting code and IP?
The modernised application code is owned outright by the client on delivery
What happens after go-live? Do we stay dependent on Paradym?
A fixed-duration HyperCare period follows go-live under tiered P1–P4 SLAs, with daily health reports, weekly status meetings and joint severity adjudication. Beyond HyperCare, ongoing use of Paradym is your choice. Handover includes a pattern cook book, A DRs, recorded walkthroughs, run books and a developer guide.
Can our own developers use Switch after go-live?
Yes. Post-launch, clients can deploy the Switch coding and context engine to their engineering teams, giving every developer AI-assisted context on the modernised code base and business rules to accelerate further development. Switch can continue as your long-term context platform.
Time to switch.
Book a conversation and we'll start to map your legacy system against your target stack, together.
Time to switch.
Book a conversation and we'll start to map your legacy system against your target stack, together.
Time to switch.
Book a conversation and we'll start to map your legacy system against your target stack, together.