Nikunj Verma / Systems Integration / Applied AI

I build the connective tissue between business systems.

APIs, webhooks, data warehouses and connectors that turn fragmented operations into one reliable source of truth.

Explore systems work Book a discovery call

Scroll through the system

LIVE SYSTEM MAP / 001

BIDIRECTIONAL DATA FLOW

01ERP

02Finance

03CRM

04Expense

05On-prem

ValidatedSingle source
of truthSTAGING / CLEAN / SYNC

Power BI

APIs

AI ready

QUEUEWebhook events

RULESData validation

SYNC99.98%

EVENTS2.4K

LATENCY184MS

01 / The work

Businesses rarely need another isolated tool. They need their existing systems to speak clearly, move data safely and hold up under pressure.

02 / Architecture

From scattered inputs to operational clarity.

I map the business logic first. Then I design the movement of data across boundaries, with validation, observability and handover built into the system.

API architecture

REST, webhooks, authentication, retries, idempotency

Data foundations

PostgreSQL, staging layers, schemas, validation, cleanup

Business systems

ERP, finance, travel, expense, HR and reporting platforms

Operational clarity

Single source of truth, Power BI, auditability, handover

03 / Interactive system composer

Compose an enterprise integration landscape.

Select the source systems and target outcome. The control layer adapts to show how business events move through validation, orchestration and trusted data.

01 / SELECT BUSINESS SYSTEMS

02 / SELECT TARGET OUTCOME

ACTIVE ARCHITECTURE3 sources → Reporting

Validated, observable and ready for operational handover.

BUSINESS LANDSCAPE

ERP

CRM

Finance

Expense

Documents

TECHNICAL CONTROL LAYER

API gateway

Orchestration

Validation rules

Trusted staging

BUSINESS OUTCOMES

Reporting

Automation

Applied AI

03 / Data in motion

Every connection has a direction, a contract and a consequence.

A good integration is more than movement. It is a controlled path from source to validation to destination, with errors visible and business rules intact.

01 / SOURCE02 / VALIDATE03 / TRANSFORM04 / SYNC05 / OBSERVE

Fibre optic cables connected to network infrastructure

INFRASTRUCTURE / PHYSICAL LAYERConnections made visible

API gateway

Event queue

Data layer

04 / Selected work

Systems designed to be understood, trusted and run.

01 / Anonymized proof of concept

A bidirectional finance integration pattern for complex operations.

A proof-of-concept integration layer connecting ERP master data, suppliers, purchase orders and goods receipts with an expense platform. Event-driven changes, scheduled exports and structured PostgreSQL staging show how business-critical finance data can move reliably in both directions.

ERPYokoyPostgreSQLPythonSQL triggersWebhooks

INTEGRATION LOGIC SYSTEM FLOW

EVENTsupplier.updated

ENTITYpurchase_order

RULEvalidate → stage → retry

MODEwebhook + scheduled sync

EXAMPLE TARGET OUTCOMES / PROOF OF CONCEPT

SYNC RELIABILITY99%+POC TARGET

MANUAL TOUCHPOINTS-60%TARGET REDUCTION

RECOVERY< 15 MINTARGET MTTR

Open full case study

01ERP

02DWH

03API

04Finance

ARCHITECTURE STORY / 01 OPERATING MODEL

01DISCOVER

Map ERP entities, finance ownership and reconciliation rules before touching the transport layer.

02CONTROL

Stage validated payloads in PostgreSQL so retries and exceptions remain inspectable.

03MOVE

Combine webhook events with scheduled synchronization for dependable bidirectional flow.

04HANDOVER

Expose logs, business rules and recovery paths so the connector remains operable.

02 / Anonymized proof of concept

One connector foundation, adaptable across complex system landscapes.

A proof-of-concept connector architecture for suppliers, tax rates, cost objects, invoice exports, expenses and card transactions. Designed as a reusable platform rather than a collection of fragile scripts.

AzureData qualityScheduled jobsObservabilityPower BI

INTEGRATION LOGIC SYSTEM FLOW

EVENTexpense.exported

ENTITYfinancial_booking

RULEtransform → reconcile → log

MODEobservable batch pipeline

EXAMPLE TARGET OUTCOMES / PROOF OF CONCEPT

REUSABLE MODULES6+POC SCOPE

TRACEABILITY100%TARGET COVERAGE

ONBOARDING-40%TARGET EFFORT

Open full case study

01Sources

02Clean

03Sync

04Report

ARCHITECTURE STORY / 02 OPERATING MODEL

01STANDARDIZE

Create reusable connector modules for shared entities instead of separate one-off scripts.

02CLEAN

Normalize incoming records, validate business constraints and preserve traceability.

03OBSERVE

Track scheduled jobs, payload outcomes and failures through a visible operational layer.

04EXTEND

Adapt the same foundation to new client systems without rebuilding the core.

05 / Scroll-driven integration story

From operational friction to a trusted system.

Fragmented landscape

Disconnected applications create manual reconciliation and invisible operational risk.

Integration control layer

APIs, webhooks and scheduled jobs route every business event through validation.

Trusted data foundation

A staging layer standardizes entities, catches exceptions and preserves auditability.

Operational outcome

Reporting, automation and AI work from one reliable source of truth.

ANONYMIZED POC / LIVE ARCHITECTURE

ERP

EXPENSE

CRM

TRUSTED
DATA LAYER

REPORTING

AI READY

ACTIVE STEPFragmented landscape

05 / Applied AI

AI becomes valuable when it is connected to the work.

I design applied AI layers on top of reliable enterprise data: secure retrieval, document intelligence, copilots, agents and workflow automation with human review where it matters.

RAGDocument intelligenceCopilotsAgentsWorkflow automation

Corporate AI workshops translate the same architecture into practical decisions for leadership and technical teams.

APPLIED AI WORKFLOW / LIVE CONTROLLED

01Enterprise data

02Retrieval

03Reasoning

04Human review

05Action

ACCESSROLE AWARE

EVALUATIONACTIVE

AUDIT LOGCAPTURED

HUMAN REVIEWENABLED

Reporting layer / Fictional preview

A single source of truth should be visible.

Clean integrations make reporting trustworthy. This fictional dashboard previews the outcome: consolidated flows, visible exceptions and clear operational signals.

OPERATIONS CONTROLFinancial data overview

LAST SYNC / 08:42 CET

SYNCED RECORDS24,860+12.8%

AUTO MATCHED97.4%+3.1%

OPEN EXCEPTIONS18REVIEW

OVERVIEW / 30 DAY SIGNALLIVE PREVIEW

PIPELINE HEALTH

ERP ingestHEALTHY

Validation layerHEALTHY

Expense exportREVIEW

BI refreshHEALTHY

EXCEPTION QUEUE

EX-018 Supplier reference2 MIN

EX-017 Cost object mapping11 MIN

EX-016 Tax rule validation28 MIN

07 / AI workflow demonstrator

Watch an invoice become an approved booking.

Document intelligence, business rules, human review and ERP automation shown as one understandable operational workflow.

BUSINESS PROCESS LANDSCAPEAP / INVOICE OPERATIONS

Incoming document → approved financial booking → reporting refresh

01Invoice receivedBUSINESS INBOX

02OCR extractionDOCUMENT INTELLIGENCE

03Rule validationCONTROL LAYER

04Human reviewEXCEPTION DESK

05ERP bookingFINANCE SYSTEM

06BI refreshREPORTING

SYSTEM SIGNAL98.7% EXTRACTION

SYSTEM SIGNAL12 / 12 RULES

SYSTEM SIGNALAUDIT CAPTURED

PROCESS STATEInvoice received

IIT DELHIEngineering Physics

MITComputational Science

SWITZERLANDSenior Consulting

API ARCHITECTUREIntegration Systems

APPLIED AIWorkflow Intelligence

THE ACADEMYCoaching & Workshops

09 / CREDENTIAL JOURNEY

A technical practice shaped across disciplines and borders.

2013–17IIT DELHI

Engineering Physics

2017–19MIT

Computational Science & Engineering

INTERNATIONALEPFL + GLOBAL

Academic & technical perspective

2023–26BASEL

Senior integration consulting

NOWINDEPENDENT

Systems, AI & Academy

ONE PRACTICE / TWO EXPRESSIONS SYSTEMS PRECISION → HUMAN PROGRESS

Nikunj Verma / Switzerland

06 / The Academy

The same precision, applied to learning.

Structured teaching for ambitious students and teams. Mathematics, physics, chemistry, computer science, AI and machine learning, taught with clarity, prepared material and measurable progress.

Matura & GymnasiumUniversityCorporate AI workshops

Enter The Academy

07 / Profile

Engineering physics at IIT Delhi. Computational science at MIT. Senior integration consulting in Switzerland.

I work independently with the discipline serious systems demand: clear ownership, NDA-grade discretion and solutions that do not become black boxes after handover.

About Nikunj Verma

08 / Personal introduction

A direct introduction, in your own words.

This space is prepared for a short personal video. Record once, place the file in the documented folder, and the placeholder will automatically become the video player.

60–90 SECLANDSCAPE / 16:9MP4 / H.264

DROP-IN VIDEO SLOT / READYnikunj-intro.mp4

Replace this card by adding your recorded introduction.

09 / Start a conversation

What needs to connect?

Tell me where the friction sits. I will reply personally and map the next useful step.

Start a project Book a discovery call