SAP's own programme for moving customers off legacy integration platforms onto SAP Integration Suite, delivered through partners SAP has vetted for that work.
Recognized migration capability. SAP knows this path and knows who runs it.
SAP Migration Factory for Integration Suite
The proven path ontoSAP Integration Suite.
Tarento combines SAP-recognized migration credibility with iVolve automation to move complex SAP and non-SAP integration estates onto SAP Integration Suite with less manual effort and lower delivery risk.
12+
Source platformsthe DSL reads
50+
Enterpriselandscapes
5,000+
Interfaces migrated toSAP Integration Suite
The number that matters
5,000+
Interfaces across real SAP Integration Suite migration programs
5,000+ interfaces migrated to SAP Integration Suite in the last four years, across real production estates. Real cutovers, real go-lives, not lab benchmarks.
How we got there
The broader foundation is 50,000+ interfaces across 12 years in Tarento's integration centre of excellence. That breadth provides context; the 5,000+ recent migrations provide the SAP Integration Suite proof point.
12+ yrs
Enterprise integration transformation
4+ years
iVolve in production
50,000+
Interfaces across 12 years
SAP recognition
Recognized by SAP.
Migration credibility that does not rest on our own say-so.
A partner solution SAP has reviewed and listed on SAP Store. Tarento's is the Integration Migration Automator, below.
Proven automation from SAP and non-SAP middleware onto Integration Suite.
A partnership tier SAP awards on competency and delivery track record, above the entry level and below Gold.
A structured route from assessment to migration, not a proposal and a hope.
Available on SAP Store
Integration Migration Automator
Automates migrations from legacy sources to target platforms.
View on SAP StoreMDM Lite, Master Data Management and Governance
Master data management and governance.
View on SAP StoreThe problem
Four clocks are already running.
SAP PI/PO 7.5
2027
End of mainstream maintenance
Extended maintenance runs to end of 2030 at a premium of two percentage points on the existing maintenance base.
webMethods 10.15
2027
End of standard support, 31 October
Extended support runs to 31 October 2030.
SAP BTP, Neo environment
2028
End of life, 31 December
New features for SAP Integration Suite are delivered only in the multi-cloud foundation.
SAP Business Connector 4.8.1
2030
End of maintenance
Final release. No successor release planned.
Different platforms. Different dates. The same strategic decision: use the remaining window to modernize deliberately, before support pressure decides the timeline for you.
How iVolve works
One semantic core. Many sources. One strategic target.
The iVolve DSL normalises every source platform into one canonical semantic model, then generates SAP Integration Suite artefacts from it.
Many source platforms
SAP PI/PO
webMethods
MuleSoft
Boomi
BizTalk
SAP BC
iVolveDSL
One strategic target
SAP Integration Suite
Normalise
Every source platform is parsed into one canonical semantic model. Not converted, understood.
Reason
Mapping logic, adapter behaviour and business rules are resolved against that model, not against the source syntax.
Generate
SAP Integration Suite artefacts are produced from the model: iFlows, mappings, scripts and adapter configurations.
Automation benchmark
One page. Every migration path. Measured where proven.
Automation factor is measured at landscape level across delivered engagements. Each row is read in tenths: solid blocks are automated on every engagement, lighter blocks are the observed spread between the low and high water marks.
Destination: SAP Integration Suite
Platform automationTotal automationInitial estimate
How to read the range
Solid blocks represent automation consistently achieved across engagements; lighter blocks show the observed range between the low and high watermarks.
Automation varies by interface complexity. Initial estimates require discovery validation.
Beyond native migration tooling
SAP tooling and iVolve: designed to work together
SAP's native capabilities provide important supported migration paths. iVolve complements them across non-SAP discovery, custom logic, landscape-specific behaviour, testing, documentation, consolidation, governance and operations.
iVolve capabilityWhat it solves
Custom logging and error handling
Rebuilds landscape-specific operational behaviour, not just standard flow structure.
Adapter modification
Handles changes such as SFTP to FTP and HTTP to IDoc as part of migration.
Pub-sub splitting
Transforms source patterns that need to become multiple target-native flows.
Technical documentation
Auto-generates documentation and traceability with the migrated artefacts.
SAP and non-SAP discovery
Discovers SAP and non-SAP stacks through one normalised assessment model.
Multi-source consolidation
Migrates and consolidates several source platforms onto SAP Integration Suite at once.
Integrated automated testing
Builds repeatable testing and evidence into the migration flow.
Named engagements
A few examples.
Migration at scale
Florida Crystals
webMethods B2B/EDI → SAP Integration Suite
450+ interfaces across seven go-lives35–40% improvement in EDI onboarding efficiency80–90% reduction in platform TCO
Mixed legacy and B2B complexity
Plasman
SAP Business Connector and Seeburger EDI → SAP Integration Suite
100 EDI interfacesTwo source platforms consolidatedZero message loss
Speed and business continuity
Solvay
webMethods → SAP Integration Suite
400+ integrations40+ countries9 monthsZero disruption
SAP INNOVATION AWARDS 2026
Florida Crystals' migration from webMethods B2B/EDI to SAP Integration Suite was published by SAP as an SAP Innovation Awards 2026 entry.
In their words
“
Tarento migrated 300+ webMethods interfaces, 164 B2B and 136 MFT, to SAP Integration Suite in under seven months, with zero business disruption.
This helped us retire our legacy infrastructure on time, saved associated licensing costs and enabled the shift from CAPEX to OPEX. The execution is the reason we awarded them our AMS contract.
Trusted by
Confirmed SAP Integration Suite clients.
Watch an integration move
Different technologies.One integration intelligence.
Six stages, one continuous transformation. Select a stage to see what happens inside it, what it produces, and what it saves.
LEGACY
Source
The estate as it exists today.
100%
of artifacts ingested, not sampled
What happens here
We take the estate exactly as it stands: undocumented, partially owned and decades deep, with no pre-work required from your team.
What you get out
A complete, machine-readable inventory of the landscape
SAP PI/POwebMethodsSAP Business ConnectorBizTalkMuleSoftBoomiInformatica
One system, five stages
Not a collection of accelerators. A modernization system.
Select a stage to open it.
Automated crawlers map every interface, dependency and payload before transformation budget is committed.
InventoryComplexityDependenciesCompatibilityRiskEstimation
Target architecture, redesign candidates and wave sequencing decided against measured complexity, not assumptions.
Target architectureMigration strategyRedesign opportunitiesWavesEconomics
iFlows, mappings and business rules regenerated in target-native form, with human-in-the-loop approvals.
Automated conversionAI-assisted transformationDSL / semantic translationReusable patternsSelective re-engineering
Test cases generated from production payloads; replay verifies migrated flows behave identically to source.
TestingCompatibilityTraceabilityHuman assurance
Automated monitoring, failover and DevOps keep integrations resilient long after cutover.
MonitoringGovernanceTransportOptimizationOngoing modernization
The ecosystem, end to end
One governed network of agents, across the whole modernization lifecycle.
More than an architecture diagram, an ecosystem in motion. It shows how capabilities come together across strategy and discovery, migration and delivery, and operate and govern, with governance spanning the entire lifecycle.
Click to enlarge, zoom or download
How iVolve works
AI where intelligence helps.Determinism where certainty matters.
Speed comes from knowing which work is judgement and which work is mechanics, and never confusing the two.
What your landscape already knows
Accumulated integration intelligence
Decades of business logic live inside your interfaces: routing rules, exceptions and partner quirks. iVolve reads that estate first, so modernization starts from what you already know, not from a blank canvas.
Where AI earns its place
AI for meaning and translation
Undocumented intent, mapping logic and scripts written in one platform's dialect are exactly where models are strong. AI carries the meaning across, and a reviewer confirms it.
Where rules stay in charge
Determinism for structure
Flows, routing, connectors and packaging are generated from rules and templates. Re-run the migration and the structural output is identical: testable, explainable and auditable.
Every reviewed decision is remembered, so the next landscape starts smarter than the last one.
Architectural freedom
Intelligence without lock-in.
iVolve is designed around integration intent, not around a particular model, artifact format or platform.
Multi-model
Multi-model intelligence
The right intelligence for the task. Designed to work across commercial and open models rather than being tied to a single AI provider or LLM.
Multi-modal + multi-artifact
Multi-modal understanding
Understand more than code. iVolve can reason across the different artifacts that describe an integration landscape: code, configuration, mappings, specifications, documentation, diagrams/images and other relevant inputs.
Many-to-many by design
Many-to-many transformation
Modernization beyond point-to-point converters. A semantic transformation foundation designed to support multiple source platforms and multiple strategic target platforms as iVolve's coverage evolves.
Models can change. Artifacts can vary. Platforms can evolve. The integration intent remains.
Security and governance
Security, privacy and AI governance.
iVolve runs inside a governed boundary. Interface definitions, mappings and payload structures are processed within the agreed environment. Metadata is never pooled across customers, never retained beyond the engagement, and never used to train models.
AI is scoped to ambiguity, undocumented intent and edge cases. Deterministic work such as flows, routing and connectors is generated from rules and templates, not inferred. Every AI-produced artefact passes a human approval gate.
Discovery and transformation operate on structure and metadata. Where production payloads are required for validation, they are masked and scoped, and handled under the same controls as the source platform. Production data does not go to a model.
Every transformation carries lineage from source artefact to target artefact, recording which stage was deterministic and which was AI-assisted, and who approved each change. The evidence pack is the audit trail.
Security & AI architecture brief
The full control model: data boundaries, model usage, retention, human-in-the-loop gates and audit lineage.
Written for security architects and CISOs, not for procurement. Read it before the first workshop, so the governance conversation is already behind you.
Request the briefBook a security review
Explore REKHAA, our AI trust layer
Inspectable evidence on data flows, retention, isolation and regulatory posture.
ROI calculator
Know your return before you commit to the move.
Licence versus licence is not a business case. This model runs the full cost of ownership for your own landscape, migration included as a first-class variable, and tells you when it pays back.
The full cost stack
- 01LicencesCurrent platform versus target subscription.
- 02InfrastructureServers, environments and runtime footprint.
- 03Support & operationsVendor support, monitoring, incident effort.
- 04Cost of inactionEvery month of delay keeps paying the old estate while postponing the new one.Accruing
- 05Adapters & add-onsThe line items that rarely reach the slide.
- 06PeopleSkills, capacity and developer productivity.
- 07Migration itselfModelled by interface complexity, not assumed.Modelled
Where it turns
These variables change the shape of your payback curve.
Levers you can move
Existing creditsContract discountsVendor incentivesComplexity mixAutomation levelMigration window
If the return is thin, the model says so, and shows which assumption is holding it back. A case you can defend beats a flattering one.
Calculate your ROI
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Start with Discovery
Start with Discovery.
Do not commit to the migration yet. Commit to understanding the landscape.
Discovery is not just PI/PO.
SAP's own migration assessment is built for SAP PI/PO landscapes. Most estates are not one platform. iVolve discovery runs across webMethods, BizTalk, MuleSoft, Boomi, Informatica and SAP Business Connector in the same pass, and returns one inventory, one complexity model, one wave plan. Tarento-funded for qualifying landscapes.
Every credible migration plan begins with a measured picture of the estate you already run.
01Estate usage
Which interfaces actually run, how often, and which are dormant candidates for retirement.
02Documentation coverage
What is documented, what is stale, and where knowledge exists only in the running system.
03Complexity classification
Every interface graded by mapping depth, custom logic, adapter type and dependencies.
04Automation potential
How much of the estate the deterministic core can generate, and what needs hands.
05Effort estimation
A wave plan with effort, sequence and cost grounded in the measured estate, not in averages.
Engagement models
A delivery model for every account shape.
01
End-to-End Migration Partner
Best when one accountable team should own discovery, planning, migration, testing, cutover and stabilization.
02
Subcontractor Model
Best when SAP or a prime integrator leads the account and needs specialist migration capacity behind the program.
03
Extended IT Team
Best when the customer wants embedded expertise and automation while retaining direct program ownership.