Introduction
Most large enterprises are not running on modern cloud-native stacks. They're running on SAP ECC instances from 2008, COBOL mainframes that predate the internet, and Oracle EBS environments that no one wants to touch. These systems have become increasingly expensive to maintain while competitors automate faster and at lower cost.
According to McKinsey, technical debt accounts for roughly 40% of IT balance sheets and adds 10–20% to project costs. Companies in the bottom quintile for tech-debt severity are 40% more likely to have incomplete or canceled modernization programs.
Hyperautomation consulting addresses this directly. Rather than demanding a full rip-and-replace, the right partner layers RPA, AI, process mining, and intelligent document processing on top of existing infrastructure. The result is modern operational efficiency without the disruption that derails most modernization programs.
What follows is a practical breakdown of the top hyperautomation consulting firms purpose-built for legacy IT in 2026 — including the evaluation criteria that separate firms with real legacy depth from those that will push you toward a replatforming you don't need.
TL;DR
- Hyperautomation for legacy IT = RPA + AI + process mining layered on aging infrastructure, no full replacement required
- The best firms combine legacy platform compatibility with deep industry and compliance expertise
- Evaluate firms on legacy stack fit, tooling breadth, regulated-industry experience, and measurable outcomes
- Firms below range from global integrators (Accenture, IBM) to vertical specialists focused on specific industries and compliance needs
- Cygnet.One stands out for finance, BFSI, and FMCG organizations running compliance-heavy workflows on legacy ERP
What Is Hyperautomation Consulting for Legacy IT?
IBM defines hyperautomation as a business-driven approach to identify, vet, and automate as many business and IT processes as possible — combining RPA, AI/ML, process mining, intelligent document processing, and orchestration into a single coordinated layer.
That's a meaningful distinction from standard RPA. Where RPA automates individual repetitive tasks, hyperautomation covers entire end-to-end processes, adapts to exceptions, and learns from data across multiple systems at once.
Why Legacy IT Is the Critical Context
Most large enterprises in BFSI, manufacturing, and FMCG still run core operations on mainframes, monolithic ERP, or on-premise systems. Consider:
- 43 of the world's top 50 banks run mainframes as core platforms (IBM IBV)
- At end-2024, only 39% of SAP ECC customers had migrated to S/4HANA — roughly 21,000 of 35,000 still on legacy ECC (CIO.com)
- Large enterprises held 67.95% of hyperautomation market share in 2025, with on-premise deployments accounting for 53.48% due to data-sovereignty requirements
For these organizations, hyperautomation consulting offers a practical path forward: modern process efficiency without the cost, risk, or disruption of full system replacement.
The hyperautomation market is valued at USD 18.64 billion in 2026, projected to reach USD 45.17 billion by 2031 at a 19.36% CAGR — driven by enterprises in BFSI, which controls 27.05% of hyperautomation revenue share.
Top Hyperautomation Consulting Firms for Legacy IT — 2026
These firms were selected based on legacy platform compatibility, hyperautomation tool depth, industry certifications, client outcomes, and vertical specialization — not brand size alone.
Accenture
Accenture's hyperautomation practice spans UiPath, Automation Anywhere, AI-led process mining, and intelligent document processing — with dedicated delivery across mainframe-era and monolithic enterprise environments.
Its SynOps platform — launched in 2019 as a human-machine operating engine combining data, applied intelligence, and digital technologies — is the delivery backbone for automation at scale. One SynOps engagement delivered USD 30 million in savings, equivalent to 15% average annual savings. Accenture's RPA partnerships with both UiPath and Automation Anywhere give it broad tooling coverage across legacy SAP, Oracle, and mainframe environments.
| Category | Details |
|---|---|
| Core Services | RPA deployment, AI process mining, intelligent document processing, workflow orchestration, legacy API wrapping |
| Legacy Compatibility | SAP ECC, Oracle EBS, COBOL mainframes, monolithic ERP; cloud-hybrid integration |
| Best Suited For | Large enterprises in banking, insurance, and public sector requiring compliance-grade automation at scale |
IBM Consulting
IBM's legacy modernization capabilities run deeper than most firms on this list — particularly for mainframe environments. Its Analysis and Renovation Catalyst (ARC), part of the IBM Consulting Cloud Accelerator, supports detailed discovery of mainframe applications, identifies dead or unreachable code, and extracts business rules from current-state systems without requiring decommissioning.
IBM RPA can automate applications running on terminal/mainframe environments, connecting to zSeries applications over 3270 protocol and System i/AS400 systems over 5250. The Garanti BBVA case demonstrates what's possible: by retaining IBM Z and Db2 for z/OS while adding analytics acceleration, the bank cut a regulatory report from two days to one minute and reduced mainframe CPU consumption by 45 hours per day.
| Category | Details |
|---|---|
| Core Services | AI-powered process discovery, mainframe automation, intelligent document processing, decision automation |
| Legacy Compatibility | z/OS, COBOL, IMS, JCL, legacy BFSI platforms; hybrid cloud via IBM Cloud |
| Best Suited For | Enterprises with mainframe-centric environments in banking, government, and healthcare |
Infosys
Infosys brings global scale to hyperautomation through its Cobalt platform — a suite of services and solutions for enterprise cloud and ERP transformation. The firm partners with SAP, Oracle, and Microsoft and supports legacy ERP landscapes alongside home-grown and custom-built systems.
AI-powered diagnostics paired with human-in-the-loop governance let enterprises automate finance, supply chain, and HR workflows while maintaining full auditability. The firm's presence across India, UK, and North America makes it a practical choice for enterprises with distributed operations and mixed legacy environments.
| Category | Details |
|---|---|
| Core Services | Process mining, RPA at scale, AI-driven workflow automation, legacy ERP integration, intelligent analytics |
| Legacy Compatibility | SAP ECC, Oracle, legacy custom applications, monolithic middleware; multi-cloud capable |
| Best Suited For | Mid-to-large enterprises in manufacturing, FMCG, and financial services with distributed legacy landscapes |
Cognizant
Everest Group's PEAK Matrix assessments ranked Cognizant's Intelligent Process Automation (IPA) practice in 2024, 2025, and 2026 — a consistent track record reflecting real delivery depth. For healthcare, its TriZetto platform automates core administration tasks on legacy systems; in 2024, Cognizant and Microsoft announced collaboration to layer Azure OpenAI on TriZetto to reduce hidden costs for payers and providers.
The most concrete KPI in Cognizant's public portfolio: intelligent automation cut manual fraud processing by 90% for a banking client. Its outcome-based commercial model and AI-enabled architecture assessments help identify high-ROI automation opportunities in legacy workflows before deployment begins — reducing rework risk.
| Category | Details |
|---|---|
| Core Services | Intelligent automation, AI-led process assessment, RPA + AI fusion, legacy workflow digitization, compliance automation |
| Legacy Compatibility | Legacy insurance, healthcare, and banking platforms; COBOL and Java-based enterprise systems |
| Best Suited For | Regulated enterprises in BFSI, healthcare, and insurance with complex legacy workflow automation needs |
Cygnet.One
Cygnet.One (by Cygnet Infotech) is a 25-year-old technology firm that has built its entire delivery model around finance and compliance automation for enterprises running legacy ERP infrastructure.
With 250+ successful ERP integrations and 412 million+ e-invoices processed through its platform, the scale figures speak directly to its depth in this vertical.
Its hyperautomation platform works without requiring ERP replacement. Integration options include API connectors, file-drop workflows, and RPA bots — for SAP environments specifically, the platform integrates via Z-program or API, with payment-block logic embeddable directly within the ERP cockpit. Clients begin with file-drop for speed, then graduate to full API integration.
Documented client outcomes:
- 95% reduction in report processing time for a leading Indian NBFC (from 4–5 days to seconds)
- For a leading FMCG group in the GCC: 60% reduction in invoice processing time
- 80% faster decisions on GST reconciliation and vendor payment compliance for a BFSI client
- 350 man-hours saved on indirect tax return filing for a banking client
The regulatory recognition footprint is extensive:
| Geography | Recognition |
|---|---|
| India | GSTN-approved IRP and GSP; processes 15–19% of India's e-invoice volumes |
| UAE | FTA recognized VAT platform; PEPPOL certified AP and SMP |
| UK | HMRC recognized VAT platform |
| Saudi Arabia | ZATCA recognized e-invoicing provider |
| Belgium | BOSA registered e-invoice compliant software |
| Category | Details |
|---|---|
| Core Services | Finance workflow automation, e-invoicing, GST/VAT compliance, ERP integration, IDP, CFO dashboard automation |
| Legacy Compatibility | SAP, Oracle, and custom legacy ERP; 250+ ERP integrations; on-premise and cloud-hybrid |
| Best Suited For | BFSI, FMCG, and enterprise finance teams in India, UAE, UK, and GCC running compliance-heavy workflows on legacy ERP |
How We Chose the Best Hyperautomation Consulting Firms
Many enterprises default to brand recognition when selecting a hyperautomation partner. That's how you end up with automation debt layered on top of existing technical debt — bots that break every time a legacy screen changes, or RPA implementations that ignore the compliance requirements baked into the underlying ERP. Each criterion below was chosen specifically to avoid those failure modes.
The five criteria used to evaluate each firm:
Legacy platform compatibility — Firms must demonstrate hands-on experience automating workflows on COBOL, SAP ECC, Oracle EBS, or custom monolithic systems — without requiring full replacement. Firms operating exclusively in cloud-native environments were excluded from consideration.
Hyperautomation tooling depth — Real hyperautomation requires breadth: RPA, AI/ML, process mining, and intelligent document processing working together. We deprioritized firms whose practice is built around a single tool or platform.
Industry and regulatory expertise — In BFSI, manufacturing, and similarly regulated verticals, an automation error isn't just a process failure — it can trigger a compliance violation. Firms needed demonstrated vertical depth, not just general IT consulting credentials.
Outcome evidence — Measurable KPIs from real engagements: processing time reduction, error rate improvement, cost savings. Vendor case studies without verifiable metrics were excluded.
Post-deployment support and scalability — Hyperautomation doesn't end at go-live. Firms were evaluated on their ability to support ongoing operations, absorb compliance updates, and scale automation as enterprises expand beyond the initial deployment.
Conclusion
Choosing the right hyperautomation consulting firm for legacy IT comes down to fit, not size. A global integrator with mainframe depth suits a COBOL-dependent bank. A specialist with 250+ ERP integrations and GSTN/HMRC/ZATCA recognition suits a finance team running compliance workflows on SAP ECC.
Start with legacy compatibility, then assess tooling breadth. Before signing anything, demand proof of measurable outcomes — not case study summaries, but actual metrics.
If your organization runs legacy finance, ERP, or compliance workflows across BFSI, FMCG, or enterprise finance and needs a partner with documented delivery in these exact environments, Cygnet.One is worth evaluating. Their 25-year track record and regulatory recognition across India, UAE, UK, and GCC translate to fewer integration surprises and faster compliance coverage.
Frequently Asked Questions
What is hyperautomation in the context of legacy IT?
Hyperautomation in legacy IT refers to combining RPA, AI, ML, and process mining to automate end-to-end workflows running on aging infrastructure — without decommissioning or replacing the underlying systems. In practice, this means legacy systems keep running while an intelligent automation layer handles exceptions, learns from transaction data, and orchestrates workflows across them.
Which tools accelerate legacy modernization?
Leading tools include UiPath and Automation Anywhere for RPA, IBM ARC and Watson for mainframe discovery, and Infosys Cobalt for ERP-layer automation. Tool selection depends on your stack: mainframe environments favor IBM's tooling; SAP and Oracle landscapes suit UiPath or platform-native connectors.
What is an example of legacy modernization without replacement?
Garanti BBVA kept IBM Z and Db2 intact while adding analytics acceleration, cutting a regulatory report from two days to one minute. Cygnet.One's FMCG client in the GCC achieved 60% faster invoice processing by layering e-invoicing automation over their existing ERP, with no underlying system replaced.
What industries benefit most from hyperautomation consulting for legacy IT?
BFSI, manufacturing, FMCG, and healthcare benefit most. BFSI alone controls 27% of hyperautomation revenue share due to high volumes of rule-based workflows, strict compliance mandates, and deep existing investment in legacy ERP and mainframe infrastructure.
What is the difference between hyperautomation and traditional RPA for legacy systems?
Traditional RPA automates individual repetitive tasks using bots. Hyperautomation combines RPA with AI, process mining, and ML to automate entire end-to-end processes — handling exceptions intelligently, learning from data, and orchestrating workflows across multiple legacy systems at once.
