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Overview

ASIMOV is Accion Labs' AI engineering platform for enterprise software modernization and controlled transformation. It reconstructs system knowledge, maps source applications to target architecture, orchestrates agentic engineering, and validates outcomes with traceable evidence.  

ASIMOV treats modernization as enterprise knowledge reconstruction, not code conversion, making code, configuration, data, business rules, dependencies, interfaces, and operational flows explicit before agents change the system. One intelligence core supports many outcomes: discovery, documentation, migration readiness, full modernization, rationalization and convergence, controlled enhancements, new engineering, and long-term maintenance.

The Challenge

Modernization risk lives between the files. Enterprise applications connect code, data, jobs, screens, APIs, reports, business rules, and dependencies, yet much of that knowledge is undocumented, outdated, or held by a few specialists, leaving the code as the most reliable record of how the business runs. Manual discovery is slow, conventional rewrites lose hidden behavior, and generic AI coding tools work from repositories or prompts without reconstructing the application as a system. Faster code generation does not answer the harder questions: what to preserve, what to change, how to apply the target architecture, and how to prove the result correct. 

What We Deliver

  • Connected source and target intelligence. The source view maps code, data models, business rules, dependencies, batch flows, interfaces, and user-facing behavior to evidence. The target view captures approved architecture, transformation decisions, retained and retired components, and source-to-target relationships.

  • Function-level documentation as the baseline. Technical, integration, data, test, and architecture artifacts are produced where the engagement requires them.

  • Governed agents and reusable playbooks. Agents operate against shared context to support discovery, documentation, impact analysis, migration planning, code transformation, target-code generation, test creation, and validation, with human review gates over material decisions and exceptions.

  • Grounded enhancements and new engineering. The same foundation supports controlled enhancements and new modules by grounding approved changes in existing-system knowledge, dependencies, and architecture constraints.

  • Secure, flexible deployment. ASIMOV supports managed secure environments, customer cloud or private tenants, on-premises or restricted ecosystems, and hybrid patterns, with pluggable model endpoints inside the required trust boundary so code, data, artifacts, and logs follow customer requirements.

  • Flexible engagement models. Customers can engage ASIMOV for documentation only, discovery and documentation, readiness and estimation, a controlled proof wave, full modernization, rationalization or convergence, controlled re-engineering, or ongoing maintenance, without forcing every engagement into a full migration.

How We Do It 

Define the engagement

Set the business objective, application boundary, evidence sources, target-state direction, validation expectations, deployment constraints, and governance model. 

Reconstruct and review

Accion engineering teams use ASIMOV to reconstruct the system, review the extracted understanding with business and technical owners, and translate approved decisions into controlled modules, work packages, or transformation waves.

Execute within controls

Model-agnostic agents operate inside approved scope, architecture constraints, playbooks, and human review gates, applying compilation, automated tests, data and interface reconciliation, behavioral comparisons, source-to-target traceability, and exception management as the scenario requires. 

Deliver at scale with accountability

Common intelligence and controls support parallel workstreams and repeatable delivery across modules and applications. Accion remains accountable for the agreed engineering outcome, and ASIMOV is not left as a standalone tool for the customer to operationalize.

How ASIMOV Works 

Discover

Discover

Build system-level understanding from source code, configuration, schemas, interfaces, batch assets and supporting evidence. Identify components, dependencies, execution paths, business rules, data flows and change impact.

document-1

Document

Convert verified understanding into function-level functional documentation and, where appropriate, technical, integration, data and test artifacts linked to the source intelligence.

engineer or Migrate

Engineer or Migrate

Apply the approved target architecture, transformation rules, business changes and module-level scope. Decide what should be retained, modified, replaced, consolidated, exposed, rewritten or retired.

generate

Generate

Use governed AI agents and reusable engineering playbooks to generate or transform target code, interfaces, configurations, data objects, automated tests and supporting assets.

Validate

Validate

Continuously check conformance to the approved specification and target blueprint through compilation, testing, reconciliation, traceability, exception reporting and human quality gates.

Maintain

Maintain

Preserve and refresh the system intelligence as the application evolves. Support change-impact analysis, onboarding, knowledge search, documentation evolution, maintenance, rationalization, convergence and transition to customer teams. 

Go deeper into the technology and engineering approach behind ASIMOV.

Explore How ASIMOV Works in Detail

What You Get 

Depending on the selected engagement path, ASIMOV can provide:

Function-level functional documentation grounded in source evidence 

Business-rule, dependency, interface, data-flow and change-impact intelligence 

Lower key-person dependency through captured, reusable system knowledge 

Modernization scope, target fitment, risk, sequencing and wave plans 

Governed transformation specifications and release-ready work packages 

Generated or transformed code, configurations, interfaces, data objects and tests where in scope 

Validation, reconciliation, traceability, exception and review evidence 

Reusable patterns and controls for parallel execution across modules and applications 

Living engineering knowledge for future change, support, rationalization and convergence 

A modernized and validated application where full transformation is in scope 

Proof Points

Program-scale modernization, not isolated code generation.

01

Large Java framework and version modernization across complex inventory, logistics and warehouse-management applications.

02

COBOL and AS/400 transformation toward modern services and web experiences while accounting for batch, job and interface dependencies. 

03

Delphi desktop-to-web modernization into cloud-ready .NET application architectures.

04

VB.NET and Struts-era monolith re-architecture into modular, maintainable modern stacks after earlier automation approaches had stalled. 

Why Accion

Semantic Engineering at the core

Deterministic, explainable AI grounded in your enterprise knowledge, not generic models.

Engineering depth

Decades of product, platform and data engineering behind every AI build.

Outcome-led delivery

Measurable business impact, not proofs of concept that stall before production.

IPs and accelerators

AI Prism, BreezeAI, ASIMOV, SPEX and more shorten time to value.

Governed by design

Security, compliance and Responsible AI built in from the first sprint.

Why Accion

Semantic Engineering at the core

Deterministic, explainable AI grounded in your enterprise knowledge, not generic models.

Engineering depth

Decades of product, platform and data engineering behind every AI build.

Outcome-led delivery

Measurable business impact, not proofs of concept that stall before production.

IPs and accelerators

AI Prism, BreezeAI, ASIMOV, SPEX and more shorten time to value.

Governed by design

Security, compliance and Responsible AI built in from the first sprint.

Relevant Links

Accelerate modernization through ASIMOV

Bring a representative application, your target direction, and the constraints that matter. We will assess fit and recommend the right path, from documentation and discovery through modernization, rationalization, or ongoing maintenance. 

Request for Services

FAQ

ASIMOV is Accion Labs' AI engineering platform for enterprise software modernization and controlled software transformation. It reconstructs system knowledge, connects source applications to target architecture, and governs discovery, documentation, engineering, migration, generation, validation and maintenance through one traceable intelligence core. 

AI coding agents typically generate or modify code from a repository, task or prompt. ASIMOV first reconstructs the application as a connected system, maps it to the approved target architecture, and governs how models operate against business rules, dependencies, engineering playbooks, source-to-target traceability and validation gates. 

Yes. ASIMOV can be applied to documentation-only work, discovery, dependency and impact analysis, modernization readiness, estimation, application rationalization, a controlled proof wave, targeted re-engineering, convergence or ongoing maintenance. Full modernization is one engagement path, not a prerequisite. 

Yes. ASIMOV can ground new modules, major enhancements and controlled replacement work in the verified context of the existing application and approved business requirements. It can identify impact and dependencies, incorporate approved changes, engineer target components, generate software and tests, and validate the result against the agreed specification. 

Function-level functional documentation is the baseline. Depending on scope and available evidence, an engagement may also produce business-rule views, dependency maps, interface documentation, data mappings, architecture artifacts, transformation specifications, test assets and traceability evidence. Comprehensive business or technical documentation is not assumed by default. 

Validation is designed for the selected scenario and may include compilation, static analysis, automated tests, data and interface reconciliation, behavioral comparisons, source-to-target traceability, exception management and human approval gates. Intentional changes are recorded and approved rather than incorrectly treated as parity defects. 

ASIMOV supports an approved managed environment, a customer cloud or private tenant, an on-premises or restricted ecosystem, and hybrid deployment. Models, storage, compute, logs and integrations are aligned to the customer trust boundary, security controls and operating ownership. 

Yes, and this is one of the primary scenarios ASIMOV is built for. The AGIE pillar reconstructs a complete semantic map of dependencies, relationships and business logic directly from your source code, without requiring the original engineers to be present. That knowledge is captured in the ASIMOV Specification Format and survives the migration as a durable asset for future maintenance. 

Your team’s involvement is required at two key stages. Firstly, business and technical SMEs to review and approve the modernization scope, defining which modules should be retained, modified, replaced, or retired. Second, final review to approve the deployment readiness from technical and functional per se. Between these two checkpoints.