Bitsinglass
Positioning
Two decades of enterprise automation, now delivering agentic AI inside the workflows that run your business.
Problems Bitsinglass solves
Critical
Legacy systems consume 60–80% of IT budgets while blocking AI adoption, real-time operations, and regulatory compliance; modernization is stalled because understanding old code costs more than running it.
High
Fragmented integration landscapes with point-to-point and batch patterns create brittle, slow, and expensive connections; consolidating platforms and modernizing to event-driven architecture is complex and high-risk.
Large RPA bot estates are brittle, expensive to maintain, and rely on fragile screen-scraping; scaling RPA hits diminishing returns while agentic AI alternatives remain unclear and risky.
Data sprawl across legacy warehouses, lakes, and silos blocks analytics and AI; building unified, governed data foundations requires deep expertise and long implementation cycles.
CRM and workflow platforms (Salesforce, legacy BPM) are expensive, rigid, and difficult to customize; business teams remain dependent on IT for process changes, slowing adaptation.
Regulatory compliance, auditability, and governance are difficult to maintain as automation scales; many organizations lack frameworks to govern AI and decisioning at enterprise scale.
AI pilots stall because they lack production-ready governance, integration with live workflows, and clear ROI; organizations struggle to move from experimentation to scaled, auditable AI operations.
Medium
QA automation is expensive and brittle; teams lack the skills and resources to build and maintain comprehensive test coverage without armies of automation engineers.
Value propositions
AI-Accelerated Legacy Modernization
Proven patterns and AI-assisted tooling to migrate legacy systems (mainframe, COBOL, RPA, legacy BPM) to modern platforms, reducing discovery and validation timelines while cutting risk and compressing implementation cycles.
Production-Ready Agentic AI Embedded in Workflows
Embed agentic AI directly into existing business workflows with no license fees, open runtimes, and agents handling repetitive work from day one, allowing teams to focus on judgment and outcomes rather than routine tasks.
Unified Data & AI Foundations
Build clean, secure, governed data lakehouse architectures that unify data engineering, analytics, and AI on a single foundation, enabling production-ready analytics and machine learning at scale with built-in compliance.
No-Code, AI-Native Platform Consolidation
Consolidate fragmented CRM, workflow, and integration platforms onto unified, no-code, AI-native solutions (Creatio, Boomi) that reduce platform cost, improve configurability, and enable business teams to adapt processes without heavy technical overhead.
Enterprise-Scale Governance & Delivery Discipline
Structured delivery approach (discovery, design, implementation) with Centers of Excellence, reusable templates, and governance frameworks that ensure automation remains transparent, adaptable, and aligned to business outcomes as complexity scales.
Offerings
Frontier AI / Agentic AI for Enterprise Automation
Embed agentic AI directly into workflows that run your business, with agents handling repetitive work while teams focus on judgment and outcomes. Delivered production-ready from day one with no license fees and open runtimes.
Legacy Modernization
AI-accelerated migration of legacy systems (mainframe, COBOL, RPA, legacy BPM) to modern platforms including Pega, Boomi, Creatio, Databricks, and Power BI, with proven patterns and AI-assisted tooling to reduce discovery, validation, and cutover timelines.
AI & Data Engineering
Build clean, secure data foundations and scalable pipelines that make production-ready AI possible, including data lakehouse architecture, governance, and modern analytics enablement.
AI CRM & Agentic Workflows (Creatio)
Implement Creatio's no-code, AI-native CRM platform to streamline sales, marketing, and service workflows with embedded AI agents, reducing platform cost and improving configurability versus legacy CRM solutions.
AI Process Automation & Integration (Boomi)
Design and implement Boomi to connect systems, data, and processes across hybrid and multi-cloud environments with AI-driven automation, API enablement, and agentic readiness.
Enterprise AI Decisioning (Pega)
Implement Pega's real-time AI decisioning and workflow automation platform to drive consistent, adaptive decisions and streamlined operations across mission-critical processes.
Data Intelligence & AI (Databricks)
Build unified data lakehouse architectures on Databricks to enable data engineering, analytics, machine learning, and generative AI with built-in governance and control.
Event-Driven Architecture (Solace)
Design and implement event-driven architectures using Solace to enable real-time event streaming, decouple systems, and prepare integration foundations for AI and agent-based use cases.
AI-Assisted QA Automation
Turn written requirements into working, self-maintaining tests using AI and model-based testing, allowing existing QA teams to own automation without requiring armies of automation engineers.
Ideal customer
Enterprise financial services organizations
- Modernizing legacy mainframe and COBOL systems under regulatory and cost pressure
- Reducing legacy TCO and IT budget allocation to maintenance
- Implementing real-time decisioning and compliance-auditable automation
- Achieving AI readiness while managing integration complexity
Large insurance and claims organizations
- Automating claims, disputes, and underwriting workflows with AI decisioning
- Modernizing legacy BPM and case management systems
- Reducing manual processing and cycle times
- Maintaining full auditability and compliance across automated processes
Logistics and supply chain enterprises
- Automating high-volume operations and reconciliations
- Modernizing legacy systems to support real-time, API-first operations
- Reducing operational costs through intelligent automation
- Enabling event-driven, real-time data movement across complex systems
Mid-to-large enterprises with fragmented integration landscapes
- Consolidating multiple integration platforms and reducing technical debt
- Modernizing from point-to-point and batch patterns to event-driven architecture
- Preparing integration foundations for AI and agentic workflows
- Reducing integration complexity and time-to-value
Organizations with large RPA bot estates
- Rationalizing and modernizing brittle RPA automation
- Replacing screen-scraping with durable, API-driven agentic workflows
- Reducing maintenance costs and bot fleet complexity
- Transitioning to AI-native automation models
Decision makers
Chief Technology Officer · Decision maker
Strategic modernization roadmaps, legacy TCO reduction, AI readiness, enterprise-scale governance, and long-term competitive advantage.
VP of Enterprise Architecture · Decision maker
Integration landscape consolidation, event-driven architecture, data foundation design, governance frameworks, and risk mitigation in complex transformations.
VP of Operations · Decision maker
Workflow automation, cost reduction, cycle time improvement, auditability, and operational efficiency gains from AI and intelligent automation.
Chief Data Officer · Decision maker
Data lakehouse architecture, unified governance, analytics and AI enablement, data quality, and compliance across data and AI assets.
VP of Digital Transformation · Decision maker
End-to-end modernization programs, platform consolidation, business process redesign, and measurable ROI from transformation initiatives.
Head of Compliance & Risk · Influencer
Auditability, governance frameworks, regulatory compliance, security controls, and responsible AI adoption across automated workflows.
VP of IT Operations · Influencer
Platform consolidation, technical debt reduction, operational efficiency, vendor management, and long-term maintainability.
Director of Business Process Management · Champion
Workflow redesign, process automation, no-code enablement, and business team empowerment to adapt processes without IT dependency.
Industries Bitsinglass serves
Financial Services, Insurance, Logistics, Banking, Enterprise Software / SaaS
Proof points
Customer testimonial
Tricon Residential testimonial on Field Services support
"I wanted to send a special thank you the BIG team! Specifically, the support that the team has provided on Field Services has truly been outstanding. The troubleshooting, outside the box thinking, the execution and timelines support, along with their professional and pleasant interactions have been phenomenal. I so appreciate the team's dedication and willingness to go the extra mile." – Reshma Block, Chief Technology Officer, Tricon Residential
Source: https://bitsinglass.com/
Market data
Legacy systems consume 60–80% of IT budgets
Legacy systems consume 60–80% of IT budgets. We lead enterprise banks, insurers, and logistics leaders through high-stakes modernization that cuts risk, unlocks AI readiness, and compresses timelines.
60–80%
Source: https://bitsinglass.com/services/legacy-modernization/
Market data
Fortune 500 companies run software 20+ years old
Fortune 500 companies run software 20+ years old
20+ years
Source: https://bitsinglass.com/services/legacy-modernization/