Evolve engineering, automate workflows, and validate outcomes. A structured approach that connects goals to measurable results.

Construct™ focuses AI where it creates the most value—within the engineering workflows that already drive impact. Rather than chasing autonomous agents or abstract use cases, it accelerates the proven processes that build and sustain digital platforms and products.

At Gorilla Logic, Construct™ links goals, execution, and validation through AI-driven workflows and accelerators. Each workflow begins with a clear outcome and KPI, applies guardrails and evaluation, and produces evidence leaders can trust. AI surfaces signals and recommendations; engineers make the final call.

The result is engineering that moves faster, learns continuously, and scales with confidence. Construct supports modernization, platform engineering, and product development through consistent, validated delivery.

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Our Offerings

Accelerate modernization, platform engineering, and product development:

  • Applied AI: Art of the Possible Workshop — discovery and prioritization of high-value AI use cases.
  • Responsible AI & Governance Diagnostic — readiness assessment and guardrails for accountable, secure AI adoption.
  • Innovation Sprint — time-boxed validation of AI workflows and business impact.
  • Agentic System Testing (AI Evaluations) Accelerator — evaluation of AI systems for accuracy, safety, and reliability.
  • Modernization Accelerator Suite — automated code translation, architecture refactoring, and system consolidation.
  • AI Workflow Pilot & Integration —implementation and integration of validated AI workflows in production environments.

Outcome-aligned AI workflows by objective. Flexible for your environment and built for measurable impact

Construct™ applies AI to the engineering patterns that repeat across projects, turning them into adaptable workflows that accelerate modernization, platform engineering, and product development. Each workflow targets a defined outcome, measured by KPIs, and stays flexible across architectures, languages, and delivery models without locking teams into rigid code.

The examples below show how Construct™ workflows align to key engineering objectives — modernization, platform engineering, and product development.

Modernize

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  • System Understanding — extract logic and dependencies to guide change
  • Code Translation & Validation — test-backed language migration with auditability
  • Architecture Refactoring — target-state design with validated refactor steps
  • Codebase Simplification:  — detect and remove dead/duplicate code to reduce debt.

Typical impact: 60–80% less engineering effort for modernization

Platform Engineering

  • Platform & Delivery Diagnostic — baseline DevOps/SRE maturity with a prioritized plan
  • Workflow & Tooling Unification — standardize CI/CD, guardrails, and templates across teams
  • Platform Consolidation — plan and execute system unification with verified integrations
  • Observability & Issue Intelligence — AI-assisted detection, correlation, and root-cause insights
  • Incident Triage & Auto-Remediation — faster MTTR with safe, scripted fixes and handoffs

Typical impact: ~20% MTTR reduction and ~30% triage offload

Product Development

  • Documentation & Blueprinting — current-state docs and target designs that speed decisions
  • AI Feature Validation — evaluate accuracy, safety, and reliability before scale
  • Feature Due Diligence — verify behavior, expose redundancy, inform rationalization
  • Release Readiness & Validation — generated tests, regressions, and evidence for go/no-go decisions

Typical impact: 40–50% faster feature delivery and 25–30% shorter onboarding cycles

Make reuse practical across engineering. Flexible AI accelerators proven in delivery.

Construct™ accelerators are the reusable building blocks behind every workflow. Each defines a tested approach to recurring engineering challenges such as modernization, DevOps, QA, and product development. They capture what works, make it measurable, and provide the foundation for repeatable, traceable delivery across teams and projects.

The Construct™ accelerator framework below shows how these building blocks align by function across the engineering lifecycle—from envisioning and enablement to design, delivery, and operations at scale.

Envision & Enable

SYSTEM INSIGHT ACCELERATORS | Understand systems, context, and risks

ARCHITECTURE & PLANNING ACCELERATORS| Shape architecture and execution strategy

Design, Build & Deliver

IMPLEMENTATION ACCELERATORS | Modernize platforms and ship features faster

QUALITY & VALIDATION ACCELERATORS | Validate product quality and AI performance

Operate & Scale

OPERATIONS & RELIABILITY ACCELERATORS | Enhance reliability, monitoring, and support

What Sets Construct™ Workflows Apart

  • Outocome-driven — clear goals, measurable KPIs
  • Evidence-based — validated by data and LLM-based evaluation
  • Flexible — reusable patterns across stacks and teams
  • Governed — secure, compliant and human-in-the-loop-making

Construct helps engineering teams move from experimentation to evidence-backed delivery—scalable, measurable, and dependable.

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