How do you manage risk if something goes wrong?

Every migration step has defined success criteria, reconciliation checks and a rollback procedure agreed before it runs. We migrate the lowest risk components first to validate the approach, then work up to core functions.

What does it cost and how long does it take?

A typical mid market modernization runs five to seven months and is scoped after the audit phase, because cost depends entirely on the size and condition of the estate. We recommend starting with the three week audit so both sides are pricing against facts rather than assumptions.

Our legacy code is undocumented and the original developers have left. Can you still work with it?

Yes, and that is the normal situation. The audit phase includes reverse engineering the behaviour and data model, and we document what we find as a deliverable. That documentation has standalone value even if you pause the migration afterwards.

How do you guarantee data integrity?

Migration runs with automated reconciliation between source and target at every stage, including record counts, checksums and business rule validation. You receive integrity evidence before cutover is approved, not after.

Can we do this in phases across business units?

Yes, and we usually recommend it. One unit or one component goes first as a controlled proof, then the approach is repeated. This is what makes the programme approvable when a full rewrite would not be.

AI Solutions

Modernize the core systems that are blocking your AI programme.

Incremental, zero downtime modernization for organisations that cannot risk a big bang rewrite. We make your core platform integrable, secure and ready for AI to be applied on top.

Talk to an AI Solutions Architect All AI Solutions

HIPAA awareSOC 2 (in progress)ISO 27001 (in progress)5.0 on Clutch

Where organisations get stuck

Our core system is old and nothing integrates with it.

Our data is locked inside a platform we cannot query.

A full rewrite has been proposed twice and rejected both times.

Security and compliance risk is increasing every year we wait.

The cost of getting this wrong

AI blocked at the foundation

Without APIs or accessible data, no agent or model can be applied to your core operations regardless of budget.

Escalating maintenance cost

Ageing platforms consume a growing share of engineering capacity to keep running, leaving nothing for new capability.

Compliance and security exposure

Unsupported dependencies and missing access controls become audit findings and breach risk.

Rewrite paralysis

Big bang replacement projects are rejected because the business cannot absorb the risk, so nothing changes.

What we deliver

Legacy assessment and architecture audit

We document the current estate, dependencies, data model and risk areas including undocumented code. You get a clear picture before committing to a migration approach.

Re architecture and migration plan

A sequenced plan that modernises in slices with rollback at every step. Designed so the business can approve it.

Incremental zero downtime migration

We run old and new in parallel and cut over component by component. Operations continue throughout.

Data migration and remediation

Data is migrated, validated and cleaned with reconciliation at every stage. You get integrity evidence, not assurances.

API and integration layer

A documented API surface over your core platform so other systems and AI agents can finally interact with it. This is what unblocks everything downstream.

AI readiness layer

Clean data access, event streams and integration points designed specifically so agents and models can be deployed on top afterwards.

How we deliver

Phase 1

Audit

Codebase, architecture, dependency, data and risk assessment.

Deliverable:: Current state and risk report.
Timeframe:: Weeks 1 to 3

Phase 2

Plan

Target architecture, migration sequencing, rollback strategy and business case.

Deliverable:: Modernization plan and target architecture.
Timeframe:: Weeks 3 to 5

Phase 3

Migrate incrementally

Component by component migration with parallel running and reconciliation.

Deliverable:: Migrated components in production, no downtime.
Timeframe:: Weeks 5 to 20

Phase 4

Make AI ready

Build the API layer, event streams and data access patterns AI needs.

Deliverable:: Documented API layer and AI ready data access.
Timeframe:: Weeks 18 to 24

Phase 5

Support and handover

Documentation, runbooks, knowledge transfer and hypercare.

Deliverable:: Full documentation and trained internal team.
Timeframe:: Weeks 24 to 26

What you get

A modernised, documented, API enabled platform.
A migration runbook with rollback procedures.
Data integrity and reconciliation evidence.
Architecture documentation.
An AI ready integration layer.
A trained internal team and full IP ownership.

Security, governance and compliance

Phased rollback plan at every migration step.
Role based access control implemented during migration.
Audit logging across the new platform.
Encryption in transit and at rest.
Compliance requirements mapped before cutover.
No client data used to train foundation models.

Integrates with your existing stack

Systems we connect to

SAP and ERP systemsSalesforceEHR and practice management systemsOracleSQL ServerMySQLSnowflakeBigQueryDatabricksIdentity providersAWSAzureGoogle Cloud

Technology we use

Platforms and frameworks

Node.jsPythonJava.NETPostgreSQLMySQLMongoDBRedisDockerKubernetesTerraformAWSAzureGoogle CloudREST and GraphQL APIs

Where this applies

Enterprise

Core platform modernization at multi unit scale.

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Healthcare & Dental

Clinical and practice systems made integrable.

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Proof

Aggregate results from Appnox engagements. Individual outcomes vary by scope and starting point.

Enterprise operations platform modernization

300+ employees, 6 month engagement.

25 to 30%

increase in operational efficiency

Client name withheld under NDA.

How we engage

AI Readiness Assessment

A fixed scope, fixed price assessment that produces a costed, prioritised plan before you commit build budget.

Production Build

A senior delivery team building and shipping the system to production, with agreed scope, milestones and success criteria.

Dedicated Pod

A monthly engineering pod embedded with your team for continuous delivery, iteration and support.

You own all IP. We never train foundation models on your data.

Frequently asked questions

We never do a single cutover. Old and new run in parallel, traffic moves component by component, and each step has a tested rollback. If a slice fails validation we revert that slice without affecting anything else.

Talk to us

Talk to an AI Solutions Architect

Tell us what you are trying to solve. A senior architect, not a salesperson, will reply within one business day with a view on scope, sequence and realistic timelines.

Senior team, no junior handoff after the pitch.
Fixed scope and fixed price wherever the scope allows it.
You own all IP, source code and documentation.