200+ interfaces. No documentation.
200+ integration interfaces. Built over years. Rarely documented.
Estates grow interface by interface until no single team can see the whole map — and migration starts without a reliable inventory.
Modernise integrations. Reduce effort. Move faster.
GenovaIQ is an AI-powered integration migration and modernisation platform that moves enterprise estates from legacy ESBs to modern architectures — faster, more consistently, and with modernisation built in from day one. Migrate from TIBCO, SAP PI/PO, MuleSoft, BizTalk & more to SAP Integration Suite with AI-led automation.
Trusted across integration ecosystems
TIBCO
SAP
MuleSoft
BizTalk
Boomi
Problem Compression Strip
Why traditional migration keeps failing enterprises
Migration copies the problem.
Traditional migration copies what already exists — including technical debt, gaps & inefficiencies.
Lift-and-shift preserves brittle patterns. The new platform inherits yesterday’s compromises at cloud prices.
Modernisation becomes Phase 2 (never happens).
Modernisation becomes a separate project. Delayed, deprioritised, or never completed.
“We’ll fix the architecture later” turns into permanent Phase 2 — while the estate keeps compounding risk.
Dependency on few architects.
Migration depends heavily on a small number of senior architects, limiting speed and consistency.
Knowledge is bottlenecked. Throughput stalls. Quality varies programme to programme — and the few experts burn out.
Enterprises don’t need migration. They need transformation.
Enterprises don’t need migration alone.
They need transformation at scale.
GenovaIQ compresses discovery, redesign & delivery into one governed pipeline — so modernisation is not deferred; it’s built in.
Solution reveal
One pipeline. Not two projects.
GenovaIQ transforms integration migration into a structured, AI-driven execution pipeline. Every interface moves through a defined sequence of analysis, design, build & deployment. Instead of separating migration and modernisation, the platform combines both in one continuous, governed workflow.
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01Discovery
Scans and maps all interfaces into a structured, canonical model
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02Design
Re-architects integrations using modern, validated patterns
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03Build
Generates integration flows, mappings & configurations
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04Test
Validates functionality, performance & consistency
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05Deploy
Pushes fully tested integrations to production environments
AI agents orchestrate every stage of the pipeline
The Multi-Agent Engine
A multi-agent AI system built for integration transformation
GenovaIQ operates as a coordinated system of specialised AI agents, each responsible for a critical phase in the integration lifecycle. Mirroring how expert teams operate, but at scale and with consistency.
Multi AI Agents
GenovaIQ Intelligence Layer
What it does
Surveyor
Maps the entire integration estate and identifies dependencies, interfaces & complexity.
What it does
Functional Analyst
Understands business logic and identifies gaps in current implementations.
What it does
Architect
Designs modern, target-state integration patterns based on best practices.
What it does
Tech PM
Structures execution plans, timelines & governance checkpoints.
What it does
Developer
Generates integration flows, mappings & configurations automatically.
What it does
Validator & Deploy
Tests and deploys integrations into production-ready environments.
What Makes This Different
Built for modernisation. Not just migration.
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Replicates legacy interfaces as-is
Modernises every interface by default
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Requires a separate modernisation effort
Combines migration + modernisation in one pipeline
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Architecture varies across interfaces
AI-driven, standardised architecture output
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Heavily manual and time-intensive
Automated, pipeline-driven execution
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Slow delivery across large integration estates
Faster migration and modernisation at scale
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Effort increases with complexity and volume
Significantly reduced effort across hundreds of interfaces
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Inconsistent results across interfaces
Consistent output across the entire estate
Quantified Impact
60–70% reduction in migration effort
Achieve faster integration transformation with modernisation included, not as an additional phase.
Total programme effort
Manual Effort
~2000 days
With GenovaIQ
~890 days
- Faster time to value
- Reduced operational overlap
- Lower total programme cost
- Consistent output quality
Discovery & Analysis
−81% effort saved in this phase
Architecture & Design
−48% effort saved in this phase
Build
−56% effort saved in this phase
Test & Deploy
−43% effort saved in this phase
Persona Mapping
Designed for every stakeholder in integration transformation
Persona 01
CIO / CTO
Problem
Legacy ESB estates carry mounting cost, risk & retirement uncertainty across the integration portfolio.
What GenovaIQ solves
Gain a lower-risk, faster path to retire legacy systems and reduce long-term integration costs.
Persona 02
Enterprise Architect
Problem
Manual architecture review across hundreds of interfaces doesn't scale — and standards slip under delivery pressure.
What GenovaIQ solves
Ensure every interface meets modern architecture standards, without reviewing each one manually.
Persona 03
Migration Teams
Problem
Migration effort is hard to estimate and output quality varies interface by interface across the programme.
What GenovaIQ solves
Deliver faster migrations with predictable effort and improved output consistency.
Persona 04
Platform Operations
Problem
Migrated estates often arrive opaque, unobservable & difficult to operate from day one.
What GenovaIQ solves
Operate cleaner, more observable integration systems from day one.
How It Actually Works
A structured pipeline with built-in governance
AI scans and maps all interfaces into a canonical data model.
- AI role
- Automated interface discovery, dependency mapping & estate inventory
- Output generated
- Canonical data model with a complete interface catalogue
- Human sign-off gate
- Mapping review before design begins
Each interface is analysed, redesigned & aligned to modern patterns.
- AI role
- Pattern analysis, architecture generation & modernisation recommendations
- Output generated
- Redesigned interface specifications aligned to target platform patterns
- Human sign-off gate
- Sign-off Gate 1 Human-in-the-loop design approval
Integration artefacts are automatically generated from approved designs.
- AI role
- Automated code & configuration generation from signed-off designs
- Output generated
- Platform-ready integration artefacts — flows, mappings, APIs & configs
- Human sign-off gate
- Builds only from approved designs — no unsupervised generation
Interfaces are validated and deployed into the target environment.
- AI role
- Validation orchestration, test packaging & deployment preparation
- Output generated
- Validated interfaces ready for target environment cutover
- Human sign-off gate
- Sign-off Gate 2 Pre go-live approval
Technology + Trust Layer
Built on a grounded, enterprise-ready AI architecture
Capabilities
01
Knowledge-base grounded AI (no free-form generation)
02
Multi-agent orchestration pipeline
03
Canonical data model mapping
04
Platform-agnostic architecture
05
Embedded governance and approval gates
Integration migration is the process of moving interfaces from legacy ESB platforms to modern integration environments like SAP Integration Suite or cloud-native platforms.
AI accelerates discovery, design & build processes by analysing existing interfaces, generating modern architectures & automating development tasks.
ESB modernisation upgrades legacy integrations by introducing API management, event-driven architecture, improved monitoring & scalable configurations.
Timelines vary by size, but AI-driven platforms like GenovaIQ can reduce effort by around 55% in typical enterprise scenarios.
Yes. GenovaIQ supports migration to SAP Integration Suite and is aligned with SAP BTP architecture and patterns.
Modernisation isn’t a second phase anymore
Book a 30-minute technical session with our Hazelcast architects. We will map your current data infrastructure, identify the highest-value use cases for in-memory computing & give you a realistic picture of implementation effort and licensing cost. Including a Redis cost comparison if relevant to your situation.