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Consulting

Consulting led by architects who have built it before.

When the system has to work — at scale, under scrutiny, for real users — you want the people who've done it. Our practice is led by architects with 20+ years of experience who served as Chief Architect on platforms trusted by over a billion citizens, are AWS-certified, and have been recognised by the Government of India and the UNDP.

Advisory practices

Where senior guidance changes the outcome

Enterprise & Solution Architecture

Target-state architecture, technology selection, integration patterns and reference designs for systems that must scale, stay secure and stay up.

AI & GenAI Advisory

Where AI actually pays off — use-case shaping, RAG and LLM architecture, data readiness, build-vs-buy and responsible-AI guardrails.

Cloud & Infrastructure Strategy

Cloud strategy and well-architected reviews across AWS, Azure and GCP — cost optimisation, resilience and high-availability design.

Application Modernisation

Monolith-to-microservices, re-platforming and migration roadmaps that de-risk delivery and protect the business while you change the engine.

Data & Analytics Strategy

Data platform design, warehousing, vector stores for AI, governance and the analytics roadmap that turns data into decisions.

Security, Compliance & Reviews

Architecture and security reviews informed by delivering audited, compliance-grade public systems at national scale.

The Orrizonte difference

You get the architect, not the org chart.

We keep our advisory deliberately senior. The person shaping your architecture has personally delivered mission-critical, compliance-grade systems — so the advice is grounded in what actually ships and survives production.

  • 20+ years of senior architecture experience
  • Chief Architect on national-scale public platforms
  • AWS Certified Solutions Architect
  • Built for 1B+ citizens, audited for security & compliance
  • Recognised by MoHFW (Govt. of India) and the UNDP

AI & engineering excellence

Playbooks we bring to every engagement

Concrete, battle-tested approaches — not slideware. A sample of what senior guidance looks like in practice, from adopting AI to keeping cloud spend and code quality in check.

01

Adoption

How to actually use AI

AI pays off when it's pointed at the right problem with the right pattern — not bolted on for hype. We help you separate high-value use cases from distractions and ship them safely.

  • Use-case discovery and ROI scoring — back problems that move a real metric
  • Choose the pattern: prompting vs RAG over your own data vs fine-tuning
  • Human-in-the-loop and guardrails for accuracy, safety and compliance
  • Start with a focused pilot, measure, then scale only what works
02

Cost · GenAI

How to reduce AI usage cost

Token bills scale faster than you expect. With model routing, caching and disciplined prompt design, teams routinely cut GenAI spend sharply without losing quality.

  • Right-size the model — route easy calls to small/cheap models, reserve frontier models for hard tasks
  • Prompt and context trimming plus semantic caching to kill repeat token spend
  • Batch, stream and cap output tokens; cache embeddings and reuse retrieval
  • Self-host open models where volume justifies it; track cost per request
03

Cost · Cloud

How to reduce cloud cost

Most cloud bills carry 20–40% waste. We run Well-Architected and FinOps reviews to find it — and put guardrails in place so it doesn't creep back.

  • Right-sizing, autoscaling and killing idle / zombie resources
  • Savings Plans, Reserved Instances and committed-use discounts for steady workloads
  • Spot / preemptible for fault-tolerant jobs; storage tiering and lifecycle rules
  • Tagging, budgets, anomaly alerts and per-team cost dashboards
04

Quality

How to monitor code quality

Quality you can see is quality you can keep. We wire automated gates into CI so problems are caught in the pull request — not in production.

  • Static analysis, linting and type checks enforced on every commit
  • Coverage thresholds and quality gates (e.g. SonarQube) that block risky merges
  • Security and dependency scanning (SAST, SCA) plus secret detection
  • PR standards, code owners and trend dashboards to keep tech-debt visible
05

Governance

How to build SOPs for adherence

Repeatable delivery comes from clear, lightweight standard operating procedures the team actually follows. We codify them and bake them into the workflow so the right way is the easy way.

  • Documented SOPs for branching, releases, incidents and on-call
  • Definition-of-Done, runbooks and Architecture Decision Records (ADRs)
  • Automation and templates that enforce standards without slowing teams
  • Onboarding playbooks and periodic audits to keep adherence high

How we engage

A path from question to working system

01

Discovery call

A senior architect — not a salesperson — listens to where you are and where you want to be.

02

Assessment & roadmap

We assess the current state and deliver a clear, prioritised roadmap with trade-offs made explicit.

03

Architecture & design

Reference architecture, technology choices and a delivery plan your teams can execute with confidence.

04

Build or hand-off

We deliver it end-to-end, embed alongside your team, or hand off a plan you can run yourselves.

Start with a conversation.

A 30-minute call with a senior architect to pressure-test your direction — no obligation.