One accountable partner from legacy modernization to AI in production
Explore our growing services catalog — structured AI Evolution as Software engagements across transformation, mainframe and cloud migration, enterprise platforms, AI acceleration, strategic advisory, and industry outcomes. Each offering addresses a specific business challenge with clear scope, governance built in, and results your leadership can measure.
Transformation, platforms, AI acceleration, advisory, and industry outcomes — mapped in one view. Select any tile to explore the challenge it addresses and how Innoart can help.
Legacy exit · APIs · Data pipelines
Rehost · Replatform · AWS cutover
Salesforce · MuleSoft · Oracle · ERP AI
Studio · Agentic AI · Copilot · Domain Brain
Assessment · Roadmap · Governance
Banking · Healthcare · Manufacturing
Transformation & Modernization
Legacy exit · APIs · Data pipelines
Mainframe & Cloud
Rehost · Replatform · AWS cutover
Enterprise Platforms
Salesforce · MuleSoft · Oracle · ERP AI
AI Accelerator
Studio · Agentic AI · Copilot · Domain Brain
Strategy & Advisory
Assessment · Roadmap · Governance
Industry-Vertical
Banking · Healthcare · Manufacturing
Scan by challenge, explore the approach, and connect when the fit is clear — structured for fast comprehension, not delivery checklists.
Challenge
Your transformation estate is slowing every initiative — and each release still feels like a gamble.
The Innoart Approach
Legacy System & Application Modernization is how you move off aging transformation platforms and outdated application stacks without losing the business logic your operations depend on. We work across MuleSoft, TIBCO, IBM, Oracle, Boomi, SAP, BizTalk, and similar estates — assessing what you have, refactoring code toward modern, maintainable application stacks, and validating every change before it hits production.
Problem — Sound familiar?
Critical transformations run on unsupported platforms with shrinking vendor support and rising security exposure.
Small changes take months because nobody fully understands the dependencies buried in decades-old code.
Leadership wants cloud and AI readiness, but the legacy layer keeps blocking every transformation program.
What you gain
A clear modernization path with lower risk, faster releases, and a platform your teams can actually maintain.
Reduced technical debt and transformation cost — so budget shifts from firefighting to innovation.
Recognize your challenge? Let's talk about the fastest path forward.
Request a Modernization AssessmentChallenge
Transformation demand outpaces your team — and quality, cost, and speed never seem to align.
The Innoart Approach
API & Transformation Management is end-to-end ownership of how your organization designs, builds, tests, and runs transformations at enterprise scale. Instead of every project reinventing connectors, pipelines, and governance, you get a consistent model — accelerated with AI for code generation, test automation, and CI/CD review — so engineering leaders can promise delivery dates with confidence.
Problem — Sound familiar?
Transformation backlogs grow while business teams wait weeks for simple API or connector changes.
Production incidents trace back to untested pipelines, unclear API contracts, or runaway cloud/API spend.
Teams use different tools and patterns — so knowledge walks out the door when people leave.
What you gain
Predictable transformation delivery with automated testing and governed API lifecycle control.
Lower total cost of transformation ownership and faster time-to-value for new digital initiatives.
Recognize your challenge? Let's talk about the fastest path forward.
Explore Transformation ServicesChallenge
You have hundreds of APIs — but no practical path to the agentic, AI-native experiences leadership expects.
The Innoart Approach
API-to-Agentic Transformation bridges the gap between your current API estate and the agentic future. We assess which services are ready for AI agents, design MCP servers and custom agents that understand your middleware and data boundaries, and operationalize them in production — not as demos, but as governed enterprise capabilities.
Problem — Sound familiar?
AI pilots work in isolation but cannot securely access the ERP, CRM, or transformation layers they need.
Middleware and API complexity make it unclear which systems can be agent-enabled — and which cannot.
Competitors talk about agentic AI while your architecture still treats APIs as static point-to-point connections.
What you gain
Production-ready agent architectures built on code-level understanding of your existing APIs.
Faster path from AI strategy to real autonomous workflows your business can trust and govern.
Recognize your challenge? Let's talk about the fastest path forward.
Start Your Agentic JourneyChallenge
Your data platform cannot keep up — and every migration raises compliance and privacy alarms.
The Innoart Approach
Database, Cloud-Native Modernization & GRC is how you replatform schemas, ETL, and data infrastructure for cloud-native scale while building privacy and governance in — not bolting them on after an audit failure. We rearchitect data models, move pipelines to modern cloud patterns, and align controls to SOC 2, GDPR, HIPAA, and ISO expectations with AI-assisted monitoring and masking.
Problem — Sound familiar?
Legacy schemas and batch ETL cannot support real-time analytics or AI workloads the business already promised.
Privacy teams cannot confidently answer who accessed sensitive data — or whether PII is properly masked.
Cloud migration stalls because nobody has mapped data risk, retention rules, and compliance gaps.
What you gain
Cloud-ready data infrastructure with embedded GRC — auditable, secure, and built for AI consumption.
Faster, safer data modernization with fewer compliance surprises during and after migration.
Recognize your challenge? Let's talk about the fastest path forward.
Modernize Your Data InfrastructureChallenge
Batch pipelines lag behind the business — and your data layer cannot scale to real-time without a rewrite.
The Innoart Approach
ETL Pipeline Modernization is how you move from brittle batch jobs and overloaded relational pipelines to governed, real-time data movement on cloud-native infrastructure — accelerated by AI across assessment, design, and delivery. We inventory legacy ETL estates, map lineage and dependencies, design CDC and streaming ingest through event buses, orchestrate pipelines with observable SLAs, and right-size data models for scale and schema evolution.
Problem — Sound familiar?
Overnight batch jobs miss SLAs, delay reporting, and break when source systems change without warning.
Vendor roadmaps push seven-figure platform bets — when AI-guided data engineering could modernize pipelines incrementally at a fraction of the cost.
Data teams spend more time fixing pipelines than delivering the analytics and AI use cases the business funded.
What you gain
Real-time, governed data movement on a platform-flexible foundation — built for scale, schema evolution, and zero-downtime cutover.
Lower pipeline operating cost and a data foundation ready for streaming analytics and AI — without proprietary platform lock-in.
Recognize your challenge? Let's talk about the fastest path forward.
Modernize Your Data PipelinesChallenge
Mainframe costs keep climbing — but a full rewrite feels impossible and every year of delay is millions lost.
The Innoart Approach
On-Prem Mainframe to AWS Rehosting is a pragmatic exit from expensive on-premise Rocket Software estates by rehosting COBOL, PL/I, JCL, CICS, and IMS/DB2 workloads in AWS — without converting source code or rewriting decades of proven business logic. We map dependencies, plan parallel-run cutover, migrate data from DB2 and VSAM to cloud-native data stores, and optimize cost after landing in cloud.
Problem — Sound familiar?
Mainframe licensing and infrastructure consume budget that leadership wants redirected to cloud and AI.
The team that understands COBOL and JCL is retiring — and hiring replacements takes years.
Previous modernization attempts stalled because rewrite scope exploded and business could not accept downtime.
What you gain
Predictable lift-and-shift to AWS with validated cutover — business logic intact, risk controlled.
Immediate cost visibility and a platform path to modern transformation and analytics around core workloads.
Recognize your challenge? Let's talk about the fastest path forward.
Plan Your Mainframe ExitChallenge
Your core workloads run in cloud — but batch-centric monoliths still block APIs, real-time channels, and the AI use cases leadership already promised.
The Innoart Approach
Mainframe Replatforming is the next step after rehost — refactoring COBOL, PL/I, and batch-centric workloads into modern services, APIs, and event-driven patterns on AWS while preserving business rules your organization has trusted for decades. We decompose monoliths in phased waves, validate parity at each boundary, and open data for analytics and AI without a risky big-bang rewrite.
Problem — Sound familiar?
Rehosted workloads still behave like mainframe batch — limiting real-time channels and partner APIs.
Teams cannot iterate quickly because code structure mirrors decades-old job streams and copybooks.
Leadership wants AI and analytics on core data — but monolithic runtimes keep information locked in legacy patterns.
What you gain
Cloud-native services and APIs around core business logic — phased cutover with validated functional parity.
A modernization runway for transformation, digital channels, and AI acceleration on top of trusted rules.
Recognize your challenge? Let's talk about the fastest path forward.
Plan Your Replatforming JourneyChallenge
Salesforce was supposed to unify the customer view — instead it became another silo next to ERP and data lakes.
The Innoart Approach
Salesforce & CRM AI Integration connects Agentforce, Data Cloud, and Sales, Service, and Marketing Cloud to the rest of your enterprise — ERP, data platforms, and AI services — so CRM teams work from one trusted customer picture. We implement Salesforce capabilities, activate Data Cloud, and wire real-time integrations that power AI agents and automated workflows, not just dashboards.
Problem — Sound familiar?
Sales and service reps switch between six systems to answer one customer question — eroding NPS and productivity.
Agentforce and AI CRM ambitions stall because underlying customer data is fragmented and unreliable.
CRM-to-ERP integrations are fragile point solutions that break every time either platform upgrades.
What you gain
A connected Salesforce stack with unified data and AI-ready workflows across the customer lifecycle.
Faster CRM program ROI — less swivel-chair work, more automated resolution and upsell insight.
Recognize your challenge? Let's talk about the fastest path forward.
Connect Your Salesforce StackChallenge
Point-to-point transformations multiply every year — and your API strategy exists only on slides.
The Innoart Approach
MuleSoft Implementation & Migration establishes API-led connectivity as an operating model, not a one-off project. Whether you are greenfield on Anypoint Platform or migrating from legacy ESBs and iPaaS tools, we design the architecture, build reusable APIs, move Runtime Fabric workloads, and enable your developers to sustain the platform.
Problem — Sound familiar?
Duplicate transformations between the same systems waste money and create conflicting versions of the truth.
Legacy ESB or custom middleware cannot support the API volume and speed digital channels require.
Internal teams lack MuleSoft depth — so platform investment sits underused after the initial implementation partner leaves.
What you gain
A governed MuleSoft estate with reusable APIs, clear ownership, and faster delivery for new connections.
Reduced transformation TCO and a foundation for agentic AI, cloud, and partner ecosystem growth.
Recognize your challenge? Let's talk about the fastest path forward.
Plan Your MuleSoft JourneyChallenge
ERP modernization is overdue — but disconnected finance, HR, and supply chain systems make every decision slower.
The Innoart Approach
Oracle Fusion Cloud Implementation delivers a unified ERP, HCM, SCM, and CX footprint — implemented through Functional Setup Manager (FSM) configuration and connected to Salesforce and MuleSoft so data flows across finance, people, supply chain, and customer operations. We handle module rollout, FSM-driven setup, data migration, cutover planning, and the transformation fabric that keeps Fusion from becoming another isolated cloud silo.
Problem — Sound familiar?
Finance closes take too long because HR, procurement, and operations data live in incompatible systems.
Fusion programs fail silently at the transformation layer — CRM and ERP still do not agree on customer or order truth.
Leadership lacks confidence in cutover planning after seeing peers miss go-live dates and overrun budgets.
What you gain
Fusion live with connected Salesforce and transformation layers — one enterprise record for critical processes.
Clearer operational visibility, faster close cycles, and a platform ready for AI enrichment on top.
Recognize your challenge? Let's talk about the fastest path forward.
Start Your Oracle Fusion JourneyChallenge
Your ERP is powerful — but users still fight clunky screens while competitors ship AI-first experiences.
The Innoart Approach
ERP AI Customization layers conversational AI, autonomous workflows, and intelligent interfaces on the platforms you already run — Oracle, Salesforce, ServiceNow, and others — so teams interact in natural language instead of memorizing transaction codes. We design governed AI extensions, connect ERP data to agents and copilots, and manage token and compute spend so innovation stays FinOps-friendly.
Problem — Sound familiar?
Knowledge workers avoid the ERP because simple tasks require ten clicks and specialist training.
AI experiments bypass ERP controls — creating shadow automation that finance and audit cannot approve.
Token and AI compute costs spike with no governance tied back to business transactions or ROI.
What you gain
AI-native ERP experiences — conversational, automated, and still governed by your existing controls.
Higher user adoption, fewer errors, and measurable productivity gains without replacing core ERP investment.
Recognize your challenge? Let's talk about the fastest path forward.
Explore ERP AI CustomizationChallenge
AI pilots impress in demos — but nothing reaches production with the governance your enterprise requires.
The Innoart Approach
Full-Stack AI Solutions on AI Studio is how you move from scattered experiments to production AI — model strategy, prompt engineering, evaluation, responsible AI guardrails, and observability in one platform-aligned delivery model. We design hybrid open and closed model approaches, benchmark performance, and deploy with SOC 2 and ISO 42001-aligned controls so CIOs and risk teams sign off with confidence.
Problem — Sound familiar?
Dozens of disconnected AI pilots create cost sprawl, duplicate data prep, and inconsistent safety practices.
Legal and risk teams block go-live because nobody can explain model behavior, audit trails, or fallback logic.
Engineering lacks a standard platform — so every team picks different models, tools, and deployment patterns.
What you gain
Production AI on AI Studio with end-to-end governance, evaluation, and operational visibility built in.
Faster path from AI ambition to measurable business outcomes — with a platform your teams can scale.
Recognize your challenge? Let's talk about the fastest path forward.
Explore AI StudioChallenge
Single chatbots answer questions — but your business needs AI that can act across systems, teams, and approvals.
The Innoart Approach
Agentic AI Engineering connects specialized agents that reason over enterprise context, invoke tools and APIs, coordinate handoffs, and complete multi-step workflows — with human-in-the-loop checkpoints, audit trails, and policy guardrails on AI Studio. We design agent roles, orchestration patterns, and observability so operations and risk teams trust what runs in production.
Problem — Sound familiar?
Workflows span five systems and three teams — but AI pilots only automate a single screen or prompt.
Leaders worry agents will take unchecked actions without traceability, rollback, or approval gates.
Transformation backlogs prevent connecting AI to the APIs and data agents need to finish real work.
What you gain
Governed multi-agent workflows in production — with tool access, escalation paths, and full auditability.
Measurable throughput gains in operations that depend on cross-system coordination, not one-off answers.
Recognize your challenge? Let's talk about the fastest path forward.
Explore Agentic AIChallenge
Your people have the data — but only analysts with SQL skills can actually use it.
The Innoart Approach
Intelligent Interface is an embedded AI Copilot that meets users inside the systems they already work in — translating plain language into queries, federated data access, dynamic dashboards, and guided workflows without requiring SQL or BI expertise. We connect to your cloud and on-prem sources, enforce human-in-the-loop governance, and deploy copilots that proactively surface insight instead of waiting for report requests.
Problem — Sound familiar?
Business users file ticket after ticket for custom reports — creating a permanent backlog for data teams.
Dashboards are static snapshots; by the time leadership sees a number, the operational moment has passed.
Self-service BI tools were rolled out but adoption stalled because non-technical staff still cannot query safely.
What you gain
Conversational access to live enterprise data — governed, explainable, and embedded where work happens.
Faster decisions and less analyst bottlenecks — so data teams focus on strategy, not report factory work.
Recognize your challenge? Let's talk about the fastest path forward.
See the Copilot in ActionChallenge
Engineering capacity is the bottleneck — and every transformation or modernization project competes for the same scarce team.
The Innoart Approach
Acceleration Engine uses governed AI generation to translate business intent into production-ready technical assets — APIs, transformation connectors, workflow definitions, and modernized code — with validation, traceability, and RBAC-safe deployment built in. It is how platform and delivery leaders compress months of hand-coding into reviewed, auditable output without sacrificing enterprise standards.
Problem — Sound familiar?
Transformation and modernization queues are measured in quarters — while the business measures urgency in days.
Developers spend most of their time on boilerplate connectors and mappings instead of differentiated features.
Ungoverned AI coding tools create security and quality risk that release managers cannot sign off on.
What you gain
Dramatically faster delivery of transformation assets and modernized code — with enterprise validation gates intact.
More output from existing teams — freeing senior engineers for architecture instead of repetitive build work.
Recognize your challenge? Let's talk about the fastest path forward.
Accelerate Your DeliveryChallenge
Generic LLMs hallucinate on your domain — and sending proprietary data to public APIs is not an option.
The Innoart Approach
Domain Brain is your organization's own fine-tuned small language model — trained on curated, anonymized enterprise data for expert-level accuracy in your vocabulary, processes, and regulations without the cost and privacy risk of always calling large public models. We handle data curation, model selection, fine-tuning, bias audits, and edge or on-prem deployment so you own the intelligence layer.
Problem — Sound familiar?
Public LLMs give plausible but wrong answers on internal policies, products, or clinical protocols.
Legal blocks cloud LLM usage because sensitive corpus data cannot leave your perimeter.
Large-model inference costs scale unpredictably as usage grows across departments.
What you gain
A proprietary domain model you control — accurate, cost-efficient, and deployable on your terms.
Regulator-ready AI with curated training data, bias review, and responsible AI guardrails included.
Recognize your challenge? Let's talk about the fastest path forward.
Build Your Domain BrainChallenge
Business teams know exactly what should be automated — but IT cannot keep up with the request queue.
The Innoart Approach
Low / No-Code & Process Automation empowers citizen developers and operations teams to describe workflows in plain English and receive validated, executable process automation — BPMN diagrams, forms, and governed connector actions — integrated with platforms like Power Platform, OutSystems, and Appian. We enable safe self-service automation without opening security holes or creating untraceable shadow IT.
Problem — Sound familiar?
Manual approval chains and email-driven processes consume hours and introduce costly human error.
Citizen developers build fragile automations that bypass security and break when APIs change.
IT lacks bandwidth to translate every business process improvement into production-ready workflow code.
What you gain
Governed self-service automation — business-led speed with IT-grade connector and validation controls.
Measurable productivity gains in weeks, not quarters — without uncontrolled shadow automation risk.
Recognize your challenge? Let's talk about the fastest path forward.
Automate Your Business ProcessesChallenge
The board wants an AI strategy — but your organization is unsure where to start, what to prioritize, or how to govern it.
The Innoart Approach
AI Consulting & Transformation is independent, expert guidance from first assessment through roadmap, vendor selection, change management, and ongoing governance — aligned to frameworks like ISO 42001, GDPR, and the EU AI Act and grounded in the Genesis delivery model so strategy connects to execution. We map capabilities, model ROI, and help CIOs, CDOs, and transformation leaders make defensible investment choices.
Problem — Sound familiar?
Executive pressure for AI collides with unclear ownership, duplicated initiatives, and no enterprise roadmap.
Risk and legal teams ask governance questions nobody has answered — slowing every funding decision.
Vendor pitches blur together; leadership cannot separate durable platform bets from hype-cycle experiments.
What you gain
A prioritized AI strategy with ROI models, architecture direction, and governance your board can approve.
Confidence to invest — knowing what to build, buy, partner on, and defer with clear accountability.
Recognize your challenge? Let's talk about the fastest path forward.
Book a Strategy SessionChallenge
Horizontal technology stacks fail in your industry — because regulation, data, and operations do not look like anyone else's.
The Innoart Approach
Industry-Vertical AI Solutions applies Innoart's transformation and AI capabilities to the specific constraints of your sector — open banking APIs, HIPAA-aligned healthcare data flows, education student-journey transformation, manufacturing OT/IT connectivity, retail omnichannel AI, and financial-services compliance automation. We combine domain patterns with Genesis and platform delivery so you are not forcing generic templates onto regulated or operationally unique environments.
Problem — Sound familiar?
Generic integrators underestimate industry regulation — causing rework, audit findings, and delayed go-live.
Operational technology and customer channels stay disconnected — so AI initiatives lack the real-time data they need.
Competitors launch industry-specific digital products while your programs stall on one-size-fits-all architecture.
What you gain
Industry-tailored AI and transformation — compliant, connected, and aligned to how your sector actually operates.
Faster time-to-value with patterns proven in banking, healthcare, public sector, manufacturing, and retail.
Recognize your challenge? Let's talk about the fastest path forward.
Find Your Industry Solution