• ISO Certified ISO/IEC 27001:2022

AI Accelerators Built for
Enterprise Delivery

AI-first engineering accelerators built to reduce delivery friction, compress timelines, and operationalize enterprise AI faster.

Explore the Accelerators
AI Accelerators

Acceleration Matters More Than
Experimentation

Building every AI initiative from the ground up slows momentum. Accelerators create faster paths into production using proven delivery patterns.

Enterprise Reality

  • AI added onto delivery
  • Public cloud dependency
  • Automation scripts
  • Generic tooling
  • POCs without scale

AI-Native Reality

  • AI-first engineering workflows
  • Sovereign deployment models
  • Multi-agent orchestration
  • Embedded accelerators
  • Production-ready systems

Production-Ready AI Accelerators for
Enterprise Delivery

Connected AI acceleration solutions engineered for transformation programs operating across enterprise environments.

Q-Speak

Agentic Quality
Engineering

AI-driven quality engineering workflows that convert enterprise requirements into production-ready testing. Built for organizations constrained by manual QA cycles and fragmented release processes.

  • Requirement-to-test automation
  • Workflow-aware test generation
  • CI/CD-native pipelines
  • Continuous validation

Outcomes

  • 10x faster QE cycles
  • 60% shorter release timelines
  • 100% requirement coverage visibility

CogniDev

Agentic Application Modernization

Multi-agent modernization workflows designed to transform legacy systems into modern architectures faster. Built for enterprises managing large codebases, aging platforms, and shrinking SME availability.

  • Legacy dependency analysis
  • AI-led code transformation
  • Architecture migration workflows
  • Validation pipelines

Outcomes

  • 10x faster modernization
  • 60% lower delivery effort
  • 95%+ validated accuracy

SHIP AI

AI-Powered Integration Acceleration

AI-powered integration workflows designed to industrialize migration and platform transformation. Built for environments operating across fragmented enterprise systems.

  • Integration discovery
  • Reusable migration blueprints
  • AI-generated transformation logic
  • Cross-platform portability

Outcomes

  • 10x faster integration delivery
  • ~40% lower migration costs
  • ANY-to-ANY portability

How AI Accelerators Work

Every accelerator runs on the same governed multi-agent runtime. Orchestrated, auditable, sovereign, integrated, and governed on day one.

  • Reasoning layer: planning, task decomposition, and adaptive decision-making 
  • Collaboration layer: humans, APIs, other agents, and human-in-the-loop controls
  • Execution layer: ERP, CRM, dev tooling, and operational systems 
Know More

On-prem, air-gapped, private cloud, or hybrid

Plug in your preferred foundation model or use AppsTek’s domain-optimized SLMs 

RBAC, SSO, audit trails, bias and drift monitoring built in, not bolted on

Post-quantum-ready by design 

Consent management, PII discovery, redaction

Review gates, approvals, and reversibility wherever it matters 

Find the Right Agentic AI Accelerator

Build the fastest path from AI strategy to production

Talk to an AI Expert

An Enterprise AI Delivery Framework
Built for Production

A structured rollout model designed to move enterprise AI into production faster.

Phase 01

Assess

Week 1

Use case discovery, readiness review, governance alignment.

Phase 02

Architect​

Week 2

Solution planning, orchestration design, deployment mapping.

Phase 03

Build

Weeks 3 to 5

Accelerator implementation, workflow integration, AI engineering.

Phase 04

Validate

Weeks 6 to 7

Performance benchmarking, operational testing, compliance review.

Assess

Week 1

Use case discovery, readiness review, governance alignment.

Architect

Week 2

Solution planning, orchestration design, deployment mapping.

Build

Weeks 3 to 5

Accelerator implementation, workflow integration, AI engineering.

Validate

Weeks 6 to 7

Performance benchmarking, operational testing, compliance review.

Deploy

Week 8

Production rollout, monitoring activation, operational handoff.

8-week project timeline with 5 phases

USE CASE

Accelerating Enterprise Outcomes

Discover practical use cases that help enterprises modernize systems, improve delivery, and operationalize AI.

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Frequently Asked Questions (FAQs)

AI Accelerators simplify complex modernization and integration initiatives by automating activities such as dependency analysis, code transformation, migration planning, and validation. They also reduce delivery effort, accelerate platform transformation, and help enterprises move legacy applications and integrations into modern environments faster. 

AI Accelerators for Enterprise integrate with existing ERP, CRM, development tools, APIs, and operational systems rather than replacing them. Built on a governed multi-agent runtime, they support on-premises, hybrid, private cloud, and air-gapped deployments while fitting into existing enterprise workflows. 

Agentic AI Accelerators automate the path from business requirements to production-ready testing. They generate workflow-aware test scenarios, integrate with CI/CD pipelines, maintain requirement traceability, and continuously validate application changes to accelerate quality engineering. 

Yes. AI Accelerators for Enterprise are designed to support a wide range of initiatives, including application modernization, enterprise integration, quality engineering, software delivery, and AI transformation. The same governed runtime enables consistent deployment and governance across different teams and business functions. 

Agentic AI Accelerators combine human oversight, validation workflows, governance controls, and continuous monitoring to improve data quality and model performance. Built-in capabilities such as review gates, audit trails, bias and drift monitoring, and human-in-the-loop approvals help maintain reliable and accurate AI outcomes in production.

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Move Enterprise AI into Production

Deploy accelerators and operationalize AI across enterprise systems


    • ISO Certified ISO/IEC 27001:2022