System Layer
Less Infrastructure Friction
Cloud-native, automated, self-healing systems
Powered by AIFe 2.0
Build Smarter.
Ship Faster.
Scale Fearlessly.
RulesIQ is an AI-native engineering firm that transforms how enterprises build, modernize, and launch software — using human-agent PODs that deliver at 4.3× the velocity of traditional delivery.
4.3×
Delivery Velocity vs. Traditional
+340%
Feature Throughput at AIFe 2.0
$1,592
Cost per Feature (AIFe 2.0)
2
Delivery Locations — USA & India
3
Core Industry Verticals
Industries
Banking & Capital Markets
Healthcare
Manufacturing
Insurance
SaaS Ventures
The AIFe Platform
From copilots to
From copilots to
autonomous delivery
RulesIQ operates on AIFe — the AI-First Engineering framework — a staged journey that transforms how your enterprise builds software. Each stage compounds: copilot-assisted teams lead to autonomous digital worker PODs.
Traditional SAFe
AIFe 1.0 · Copilots
AIFe 2.0 · Digital Workers
+67%
Velocity at AIFe 1.0
+340%
Throughput at AIFe 2.0
4 wks
To Readiness Roadmap
$1,592
Per Feature vs $8k+ Traditional
The Architecture
Three lenses.
Three lenses.
One unified architecture.
Every RulesIQ engagement operates across the System, Model, and Product layers — ensuring no capability gap is left unaddressed on the path to the Intelligent Enterprise.
Model Layer
Less Data Friction
Intelligence woven into every process and workflow
Product Layer
Less Time to
Market
Faster, higher-quality product delivery at scale
Our Offerings
Five ways we
Five ways we
engineer your future.
AI-native engineering delivery across System, Model, and Product layers — powered by human-agent PODs delivering at 4.3× traditional velocity.
Cloud & Infrastructure Engineering
Cloud-native architecture, migration, IaC, and cost optimization for enterprise-scale workloads.
GenAI & Agentic AI Engineering
LLM integration, RAG pipelines, multi-agent orchestration, and enterprise AI governance frameworks.
Full-Stack Application Engineering
End-to-end product development from architecture to deployment using AIFe-accelerated delivery PODs.
ML Engineering & MLOps
Model development, feature stores, experiment tracking, and automated ML pipelines at enterprise scale.
DevSecOps & Quality Engineering
Shift-left security, CI/CD pipelines, AI-powered test automation, and compliance-as-code frameworks.
AI-accelerated modernization that moves enterprises from fragile legacy systems to resilient, AI-ready architectures — industry by industry.
Legacy Assessment & Roadmap
4-week AI-powered discovery that produces a prioritized modernization roadmap with business case and risk analysis.
App Modernization & Cloud Migration
Strangler Fig, COBOL-to-cloud translation, and containerization — with AI-assisted code transformation at scale.
Data Platform Modernization
Lakehouse architecture, real-time streaming, and data mesh patterns that unlock enterprise AI readiness.
Integration & API Modernization
API-first architecture replacing brittle point-to-point integrations with event-driven, scalable platforms.
AI-Readiness Engineering
Retrofit existing systems with AI-readiness gates, vector databases, and intelligent agent integration layers.
From idea to funded venture in months, not years. RulesIQ's Venture as a Service model combines strategy, engineering, and capital enablement in a single integrated studio.
Venture Discovery & Validation
4-week AI-powered discovery sprint — market sizing, competitor mapping, and stage-gate Go/No-Go scorecard.
Venture Design & Blueprinting
Build-ready architecture, investor pitch deck, and hiring plan delivered in a 2-week Sprint Week format.
MVP Engineering — AIFe Accelerated
6–10 week MVP delivery at $75K–$300K vs. industry standard of $400K–$800K over 4–6 months.
Venture Launch & GTM
GTM built in parallel with engineering — first 100 customers and initial revenue targeted before Series A.
Capital & Venture Enablement
Fundraising readiness, investor targeting, technical data room, cap table strategy, and Series A technical preparation.
The Talent Foundry is RulesIQ's proprietary pipeline that sources, trains, and deploys AI-ready engineering talent at scale — bridging the global skills gap with purpose-built AIFe practitioners.
AIFe Talent Pipeline
End-to-end recruitment, screening, and onboarding of engineers trained specifically for human-agent collaboration and AIFe delivery models.
AIFe Academy & Bootcamps
Structured 6–12 week bootcamps transforming traditional engineers into AIFe-certified practitioners across all three layers.
Staff Augmentation — AIFe PODs
On-demand human-agent PODs embedded directly into client delivery teams — plug-in velocity without the hiring overhead.
Build-Operate-Transfer (BOT)
RulesIQ builds and operates your engineering capability in India, then transfers a fully trained, AIFe-native team to your ownership.
Executive & Leadership Coaching
C-suite and VP-level coaching on AIFe transformation leadership, change management, and AI-native org design.
A structured, phased transformation program that moves your engineering org from traditional delivery to full AIFe 2.0 — autonomous, agent-driven, and continuously improving.
AIFe Readiness Assessment
60-point diagnostic across people, process, tooling, and data — producing a scored readiness index and transformation roadmap.
AIFe 1.0 Implementation
Deploy copilot tooling, establish human-AI pairing protocols, and achieve +67% velocity improvement within 90 days.
AIFe 2.0 Implementation
Stand up autonomous digital worker PODs, implement agentic workflows, and achieve +340% throughput at $1,592/feature.
Continuous Governance & Portfolio
Ongoing AIFe portfolio management, KPI dashboards, agent performance monitoring, and quarterly transformation reviews.
Industries
Deep domain expertise
Deep domain expertise
where it matters most.
Three verticals. Purpose-built playbooks. Regulatory and domain expertise baked into every engagement from day one.
Banking & Capital Markets
Modernizing core banking on COBOL-to-cloud migration paths, building DORA-compliant platforms, and accelerating T+1 settlement readiness — all within strict regulatory guardrails.
DORA Compliance
Core Banking Migration
T+1 Readiness
AML / KYC AI
Basel III/IV
Core Modernization
AI Enabled Banking Transformation
Healthcare
Deploying FHIR gateways, HL7-to-FHIR translation layers, TEFCA/QHIN connectivity, and ambient clinical documentation — turning interoperability compliance into a competitive advantage.
FHIR R4 Gateway
HL7 Migration
TEFCA / QHIN
Ambient Documentation
HIPAA Engineering
Manufacturing
Building IT/OT convergence platforms, modernizing MES with AI-driven scheduling, deploying digital twins, and migrating ERP to cloud-native architectures — enabling the AI-first factory floor.
IT/OT Convergence
MES Modernization
Digital Twin
Predictive Maintenance
ERP Cloud Migration
Case Studies
Transforming institutions
Transforming institutions
into tomorrow's leaders.
Real outcomes delivered for some of the world's most demanding enterprises — from COBOL-to-cloud migrations to FHIR gateways and AI-native factory floors.
Global bank cuts core release cycle from 6 months to 3 weeks
A top-30 global bank partnered with RulesIQ to decompose a 40-year-old COBOL monolith into cloud-native microservices using an AIFe-accelerated Strangler Fig approach. DORA controls were embedded into the CI/CD pipeline from day one.
6 mo → 3 wk releases
68% lower change failure rate
DORA compliant
Regional health system achieves TEFCA readiness in 14 weeks
A 12-hospital network needed FHIR R4 gateway deployment, HL7 v2-to-FHIR translation, and QHIN connectivity before a regulatory deadline. RulesIQ delivered a production-ready interoperability layer in 14 weeks — 4 weeks ahead of schedule.
14-week delivery
100% TEFCA ready
2M+ records migrated
Tier-1 auto supplier reduces unplanned downtime by 41%
RulesIQ built an IT/OT convergence platform connecting shop-floor PLCs to a cloud-native data lakehouse. Predictive maintenance AI models reduced unplanned stoppages within 90 days of go-live, delivering measurable ROI ahead of target.
41% less downtime
90-day ROI
IT/OT unified
Insights & Perspectives
Expert thinking on
Expert thinking on
the challenges that matter.
RulesIQ engineers and strategists share actionable perspectives on AI-native delivery, regulatory change, and enterprise transformation.
Perspective
Operationalizing Agentic AI in Enterprise Engineering
Moving beyond copilots to autonomous digital worker PODs requires new governance models, observability tooling, and a people-first adoption roadmap — not just new software.
Learn more
Perspective
Why T+1 Settlement Is a Platform Problem, Not a Process Problem
Firms chasing T+1 compliance with workflow patches are missing the root cause. Sustainable readiness demands real-time data quality, API-first reconciliation, and AI-assisted exception handling at scale.
Learn more
Perspective
FHIR Adoption Is Not the Finish Line for Healthcare Interoperability
Deploying a FHIR gateway is necessary but insufficient. Health systems that turn interoperability into a competitive moat go further — building real-time clinical intelligence layers on top of their TEFCA/QHIN infrastructure.
Learn moreA Decade of Strategic Growth
From a boutique staffing firm to a global AI-native powerhouse, RulesIQ has evolved through strategic pivots and relentless innovation.
1
Founded
— 2015
Launched as a boutique staffing firm in India, focused on placing high-quality technology talent with enterprise clients.
2
Expansion
— 2019
Expanded beyond India, establishing a global footprint and deepening client relationships across key markets.
3
Engineering
— 2021
Launched a dedicated product engineering practice and scaled the team to 200+ professionals delivering end-to-end solutions.
4
Global Scale
— 2023-24
Achieved global scale with 300+ staff, 30+ active clients, and operations across the US, UK, India, and Singapore.
Our Leadership
Deepak Sondhi
CEO
Ashish Kumar
Head of Engg. & Architecture
Prasad B.
Head of Delivery
Aman Jain
Head of Talent Foundry
Our Global Presence
Strategically positioned across four continents to deliver round-the-clock engineering excellence.
🇺🇸
United States
US
Our North American hub drives client relationships and business development across major enterprise markets.
🇮🇳
Noida, India
IN
Our largest delivery center, home to our core engineering, AI, and staffing operations with deep technical talent.
🇬🇧
London, UK
GB
Our European base supports clients across the UK and EMEA, with proximity to top financial and technology sectors.
🇸🇬
Singapore
Our Asia-Pacific gateway enables rapid engagement with high-growth markets across Southeast Asia and beyond.
FAQ
Frequently asked
Frequently asked
questions.
RulesIQ leverages deep domain expertise combined with AIFe — our AI-First Engineering framework — to help banks and financial institutions accelerate digital transformation. We deliver end-to-end solutions across core banking modernization, DORA compliance, digital payments, regulatory controls, and AI-led process automation. Our human-agent POD model means clients get measurably faster delivery without sacrificing quality or governance.
AIFe 2.0 replaces conventional human-only delivery teams with human-agent PODs — small groups of engineers paired with orchestrated AI agents that handle code generation, testing, documentation, and review in parallel. This produces +340% throughput at a cost of $1,592 per feature vs. $8,000+ in traditional models. Unlike staff augmentation, AIFe 2.0 is outcome-driven: we share KPIs and deliver against defined velocity and quality gates.
In healthcare, AI is applied to ambient clinical documentation, FHIR data quality enrichment, and predictive patient flow modelling — always within HIPAA governance guardrails. In manufacturing, agentic AI drives predictive maintenance scheduling, AI-assisted MES work-order triage, and digital-twin anomaly detection. Across all verticals, we implement responsible AI frameworks with explainability, audit trails, and human-in-the-loop controls.
Most engagements begin with a free 60-minute Discovery Call, followed by a 4-week AIFe Readiness Assessment that baselines your architecture, team, tooling, and data maturity. From there we define a phased modernization roadmap with shared KPIs. Delivery occurs in 6–8 week sprints using AIFe-native PODs embedded in your environment. We provide weekly velocity dashboards, quarterly business reviews, and a full knowledge-transfer plan at programme close.
We use the Strangler Fig pattern for incremental migration — new capabilities are built on modern, API-first services while legacy systems remain live and stable. Release risk is managed through feature flags, canary deployments, and automated regression gates. For regulated industries we operate under change advisory processes and maintain full audit trails across every deployment, ensuring zero surprise regulatory exposure.
Ready to build at AI velocity?
Start with a free 60-minute Discovery Call — no obligation, no boilerplate. Walk away with a clear view of your AIFe readiness and next steps.
Call Us
+1 (630) 423-7300
Email Us
info@rulesiq.com