IT Legacy Modernization Services for Enterprise Applications

ASIMOV Variants

One Platform Across Multiple Engagement and Technology Variants

Each ASIMOV variant uses the same graph intelligence, specification, agentic execution and validation principles, adapted to the source estate and target outcome.

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The Challenge

People spend too much time searching for information, interpreting fragmented knowledge, switching between systems, and repeating routine work, all of which directly limit productivity. At the same time, enterprises are rolling out copilots and AI platforms that often lack role-specific context, trusted enterprise knowledge, or a clear adoption model. Instead of improving productivity, AI can become another tool people need to learn, verify, and work around.

What We Deliver

Role-aware AI assistance. We give employees and customers assistance across the moments where people lose time, context, and productivity: finding and applying knowledge, supporting decisions, completing common requests, and learning new ways of working with AI.
Knowledge and adoption foundation. We build the enterprise knowledge foundation and adoption model required for these capabilities to become trusted parts of everyday work and deliver sustained productivity improvement.
Trusted, grounded answers. Assistance draws on governed enterprise context rather than raw retrieval, so people get consistent, cited answers they can act on with confidence.

ASIMOV Legacy

Enterprise Application Modernization

For large, interdependent applications requiring deep discovery, source-to-target transformation and retained target intelligence.

Framework and language change
Monolith re-architecture
Portfolio modernization
Business-critical traceability

ASIMOV Mainframe

Mainframe & Midrange Transformation

For COBOL, CL, RPG, AS400 and batch-heavy estates where operational logic must be reconstructed before change.

Program, paragraph and job relationships
Files, tables and batch sequencing
Coexistence and cutover waves
Behavioral and data evidence

ASIMOV UI

Design & Legacy UI Transformation

Transform approved designs and existing interface behavior into working modern UI code connected to journeys and backend contracts.

Legacy screen reconstruction
Figma-to-code workflows
Design-system alignment
Accessibility and regression

ASIMOV BI

Business Intelligence Migration

Reconstruct metrics, calculations, dependencies, filters, security rules and report intent before platform migration.

Tableau-to-Power BI patterns
Calculation equivalence
Data reconciliation
Report rationalization

ASIMOV Low-Code

Low-code & Custom-code Transitions

Move between low-code platforms and custom engineering while preserving workflows, rules, data and integrations.

Platform exit
Custom-code fitment
Connector remapping
Governed regeneration

ASIMOV Engineering

New Builds & Major Enhancements

Ground new engineering in approved business intent, existing-system context, target constraints and continuous validation.

New modules around existing platforms
Major feature expansion
Controlled product re-engineering
Continuous modernization

Source intelligence and target blueprint established before migration

Agents perform the code transformation and self-correction cycle

Engineers improve agents, patterns, prompts and validation rules

Human experts govern ambiguity, architecture and release acceptance

Enterprise AI Strategy & Advisor

Shape and prioritize AI opportunities across people, processes, and products, with clear value, readiness, and execution paths.

AI-Led Legacy Modernization

Reconstruct complex applications, define the target state, and execute controlled modernization or software transformation with ASIMOV.

Forward Engineering

Carry modernized system knowledge forward into new features and services so the application can evolve without immediately rebuilding architectural debt.

Product Portfolio Rationalization

Use business and engineering evidence to decide where to invest, consolidate, re-engineer, maintain, or retire across the product portfolio.

AI-Augmented Software Engineering

Extend AI beyond coding into impact analysis, development, testing, documentation, review, and release.

SaaS Agentification & Embedded AI Features

Add intelligent capabilities and agentic experiences to existing SaaS products while respecting the product architecture, user experience, and operating constraints.

AI-Led Brownfield Support

Make complex live applications easier to understand, support, enhance, and transition toward modernization when the business is ready.

Semantic source graph

Target blueprint graph

ASF specification

Migration agents

Validation framework

Target intelligence

Enterprise AI Strategy & Advisory

Shape and prioritize AI opportunities across people, processes, and products, with clear value, readiness, and execution paths.

AI Copilot & Knowledge Assistants

Help people find, synthesize, compare, and apply enterprise knowledge with role-aware, source-grounded assistance.

Customer and Employee Self-service

Make routine service easier for users and lighter for service teams through grounded answers, approved actions, and context-aware human handoff.

AI Enablement and Workforce Adoption

Redesign how roles work with AI, build practical skills and confidence, and measure whether adoption is creating real productivity value.