Outcomes First Software Consultancy

We operate with productized delivery pods, reusable accelerators, and transparent governance

AnySyz Technologies is a boutique software consultancy that ships high impact software with speed, quality, and measurable results. We operate with an outcomes first mindset and a productized delivery model across AI, full stack engineering, rapid MVPs, QA automation, DevOps/SRE, Data/BI, Data Engineering, and ERP transformations.

Our work is powered by lean "delivery pods," reusable accelerators, and transparent governance—so leaders can commit to dates with confidence.

Outcome Guarantee

If we miss acceptance criteria in the timebox, we keep working at our cost until met or credit the fee to the next phase.

Why Productized?

Clear scopes, timeboxed cycles, published artifacts, and price transparency reduce risk and accelerate trust.

10+ Productized Services
24hr Response Time
100% Outcome Focus
6 Week Max MVP Timeline

Productized Services

Clear packages with inputs, timeline, acceptance criteria, and artifacts

10 Days

AI Feature

Ship one production ready GenAI/RAG capability (retrieval Q&A, summarization, classification) with evaluation harness, latency/cost report, and deploy toggle.

  • LlamaIndex/LangGraph implementation
  • Evaluation & monitoring
  • Cost optimization
  • Production deployment
Starting from consultation call
6 Weeks

MVP Development

Next.js/Angular + Django/Spring Boot baseline with auth, payments, 3 core flows, CI/CD, logging, observability, and launch checklist.

  • Full stack architecture
  • Authentication & payments
  • CI/CD pipeline
  • Launch-ready infrastructure
Contact for custom pricing
3 Weeks

QA Automation Sprint

25–40 critical paths in Playwright/Cypress, parallelized CI, flaky test triage, failure taxonomy, and release-readiness gate.

  • Automated test suites
  • CI/CD integration
  • Flaky test detection
  • Release quality gates
Fixed-price packages available
2 Weeks

DevOps & SRE Readiness

IaC, blue/green deploys, rollback drills, alerting & budgets, DORA baseline, OPEX cost guardrails, and incident runbooks.

  • Infrastructure as Code
  • Deployment automation
  • Monitoring & alerting
  • DORA metrics tracking
Starting from assessment
3-4 Weeks

Data & BI Quickstart

Source ingestion, dbt models, semantic layer, and 8–10 decision-grade dashboards with data tests and freshness SLAs.

  • Data pipeline setup
  • Business intelligence dashboards
  • Data quality testing
  • Governance framework
Custom scoping required
4 Weeks

Data Engineering Foundations

ELT pipelines, lakehouse patterns, performance-tuned warehouses with lineage and governance hooks.

  • Scalable data architecture
  • ETL/ELT pipelines
  • Data lineage tracking
  • Performance optimization
Enterprise pricing available
Custom Timeline

ERP Transformations

SAP / IFS / Oracle migrations, configurations, integration blueprints, and change-management kits aligned to business processes.

  • System migrations & upgrades
  • Business process alignment
  • Integration architecture
  • Change management support
Contact for enterprise assessment
2-3 Days

Outcome Audit

Gaps analysis across architecture, delivery, QA, and ops with prioritized improvement plan and scale-readiness assessment.

  • Architecture review
  • Process assessment
  • Quality evaluation
  • Prioritized roadmap
Fixed-price assessment

Delivery Model - Pods

Small, senior, cross-functional teams that own scoped outcomes

How Pods Work at AnySyz

Outcome Charter (1–2 days)

Goals, acceptance criteria, constraints, and risk assessment

Timeboxed Cycles

10 days / 3 weeks / 6 weeks with daily focus and mid-point demos

Transparent Governance

Weekly demos, risk register, decision log, and change control

Complete Artifacts

Code + tests, CI/CD, dashboards, architecture notes, and walkthrough

Operating Principles

  • Design for change: Modular architecture with clear boundaries
  • Quality gates: PR reviews, static analysis, testing thresholds
  • Observability first: Logs/metrics/traces from day one
  • DORA metrics: Deploy frequency, lead time, change failure rate
  • Security by default: Least-privilege access and audit trails
  • Documentation: Runbooks, handover notes, post-launch checklists

Team Composition

Typically 2–5 senior professionals per pod: architects, developers, QA engineers, and DevOps specialists working as a cohesive unit.

Why AnySyz

Proven differentiators that accelerate your success

Key Differentiators

  • Productized outcomes instead of vague "time & materials"
  • Pods that own results, not individuals requiring micromanagement
  • Accelerators that compress setup and raise quality standards
  • Metrics & governance that make delivery auditable and defensible
  • Risk reversal that aligns our incentives with your success
  • Domain fluency in complex business environments

Industries & Problem Spaces

Healthtech

Patient/clinician workflows, privacy by design, auditability requirements

Fintech/Wealth

Data integrity, reconciliation, compliance controls, reporting

Enterprise Operations

Process first transformations, integrations that survive audits

Our Accelerators (Reusable IP)

RAG/GenAI Starter

LlamaIndex/LangGraph, eval harness, cost guards

MVP Starter

Next.js/Angular + Django/Spring Boot, auth, payments, CI

QA Starter

Playwright/Cypress scaffolds + flaky detector

DevOps Blueprints

Terraform, GitHub Actions, blue/green + rollback