Work

Real problems. Measured results.

ERPs built for six industries, and the problems they solved, from repeat support tickets to a marketplace built from zero. Each one owned end to end.

results.dashboardkey results
Revenue · ARR$14.4M
AI adoption80%
On-time delivery95%+
Cycle time−28%
Implementations150+ERP · HRMS · CRM · Payroll · SaaS

By industry

ERPs built around how each industry works.

Real estate, F&B, finance, telecom, HR and retail each run on different rules. Each ERP is shaped around them, then delivered end to end, from discovery to go-live.

01 · Real estate

From enquiry to renewal, one tenant record.

Where it gets stuck
Units, leases, cheques and service charges sit in separate spreadsheets, so nobody sees a tenant’s full picture.
What gets built
Property and unit inventory, sales and payment plans, leases and renewals, rent and cheque tracking, service charges, maintenance and broker commissions.

02 · F&B

Food cost you can see before month end.

Where it gets stuck
Each outlet orders, prepares and counts stock its own way, so food cost stays a guess until the books close.
What gets built
Outlet POS integration, menus and recipe costing, central kitchen production, stock and wastage, purchasing, delivery-app orders and food-safety checks.

03 · Finance

A month-end close without the exports.

Where it gets stuck
Closing the month means exporting from several systems and reconciling by hand.
What gets built
General ledger, payables and receivables, bank reconciliation, multi-entity consolidation, budgets and cost centres, VAT and e-invoicing, approvals and an audit trail.
Track record
Financial portals on Backbase and AngularJS, delivered with a 12-member team.

04 · Telecom

One order, from sign-up to first bill.

Where it gets stuck
A single order passes through sales, provisioning, field teams and billing, each in a different system.
What gets built
Order management, service provisioning and fulfilment, field service, network asset inventory, dealer and partner management, billing sync, and SLA and incident tracking.

05 · HR

Hire to exit, with payroll that runs clean.

Where it gets stuck
Attendance, leave and payroll live in separate tools, and every payroll run ends in manual fixes.
What gets built
Employee records, attendance and shifts, leave and approvals, payroll with WPS files, end-of-service, document-expiry alerts and a self-service app.
Track record
HRMS and payroll implementations, and payroll automation that reads documents with AI in a private environment.

06 · Retail

One stock count, in every store and online.

Where it gets stuck
Stores, the warehouse and the online shop each keep their own stock count, so customers see items that aren’t there.
What gets built
Store POS, multi-store stock, warehouse and replenishment, e-commerce sync, pricing and promotions, purchasing and loyalty.
Track record
E-commerce platforms and admin portals for global clients.
erp · real-estatesix industries · end to end

Modules

PRPProperties & units
SALSales & payment plans
LSELeases & renewals
CHQRent & cheques
SVCService charges
MNTMaintenance
BRKBroker commissions
CRMLeads & tenants
Every ERPUsers & rolesApprovalsFinance & ledgerReportsIntegrations

The process it runs, end to end

EnquiryBookingLeaseCollectMaintainRenew

By problem

Problems solved, with the numbers.

Filter

AISupport

The same tickets, answered by hand, every day.

The problem
Every support answer needed a person, even for issues the team had solved many times before.
What shipped
An AI-driven support system, built into the products, that resolves known issues without manual intervention.
The result
Repeat tickets resolve themselves. The team spends its time on what’s new.

Owned end to end discoverydesignbuildQAgo-live

support.inboxAI first, team second
  • Password resetOpenResolved · AI
  • Payslip not showingOpenResolved · AI
  • Leave balance queryOpenResolved · AI
  • How do I export a report?OpenResolved · AI
  • New: bank file formatOpenTo the team
repeat issues resolved by AI new issues to the team

AITransformation

AI tools only pay off when people use them.

The problem
AI had to become part of everyday work in every role, not a tool people try once and forget.
What shipped
Role-specific AI agents and developer copilots for engineering, QA, product, project management, onboarding and support, rolled out in phases with onboarding and change management.
The result
80% adoption across six functions.

Owned end to end use casespilotsrolloutonboardingadoption

adoptionrole-specific agents · copilots
80%adoption across six functions
EngineeringQAProductProject managementOnboardingSupport

GrowthProduct

Revenue started at zero. It didn’t stay there.

The problem
A portfolio of enterprise products across ERP, HRMS, CRM, Payroll and SaaS had to earn, starting from $0.
What shipped
A 20+ product portfolio with roadmaps, OKRs and KPI tracking, and dynamic rate cards priced by requirement complexity.
The result
$0 to $1.2M+ a month, or $14.4M ARR, through 150+ implementations.

Owned end to end portfolioroadmapspricingdelivery

revenue2020 → 2026
$14.4MARR · $1.2M+ MRR
20+ products ERPHRMSCRMPayrollSaaS

DeliveryLeadership

200+ people, three countries, one way of delivering.

The problem
Make delivery predictable for a 200+ person organisation, including 120+ engineers, spread across the UAE, Kenya and the Philippines.
What shipped
Restructured technology and delivery operations: Agile, Scrum and hybrid governance, OKRs and KPI tracking, risk management and business continuity planning.
The result
Cycle times 28% shorter and 95%+ on time, across 150+ implementations.

Owned end to end strategyarchitectureengineeringdelivery

delivery.dashboardUAE · Kenya · Philippines

Releases · 95%+ on time

Cycle time

BeforeAfter−28%
the team 200+ people120+ engineers3 countries

Zero to oneMarketplace

Booking a lab test, without the guesswork.

The problem
Booking a lab test meant guessing the price and visiting a clinic.
What shipped
The full journey (compare labs and prices, book online, home sample collection, digital reports with AI interpretation), a commercial model with a standard partner rate card, price floors and payout logic, and DPDP Act 2023 data-protection terms with partner labs.
The result
Launched in Thane, pathology first and radiology next, with 16 search campaigns across 1,200+ keywords in English, Hindi and Marathi.

Owned end to end journeycommercial modelbuild plango-to-market

marketplace · journey0 → 1
  1. 01Compare labs and prices
  2. 02Book online
  3. 03Home sample collection
  4. 04Digital report with AI interpretation
Build plan25 tickets
LaunchThanePathology first, radiology next
Search1,200+ keywords16 campaigns · English, Hindi, Marathi

AIProduct

Answers buried in data and documents.

The problem
Management and product users needed answers from product, usage and customer data, and payroll needed documents processed accurately and privately.
What shipped
A RAG system that answers plain-language questions over product, usage and customer data, and LLM-powered payroll automation with document intelligence, both in a private, access-controlled environment.
The result
Insights on demand for management and product users, and payroll documents read by AI without leaving a private environment.

Owned end to end use casesarchitectureMVPproduction

insights · askprivate · access-controlled

Which modules are new clients using most this quarter?

usage dataCRMproduct
payslip.pdf · extractedEmployee✓Pay period✓Gross pay✓Deductions✓

Also shipped

Smaller problems, same ownership.

AI

Sales calls, analysed and coached by AI

AI sales-call analysis and coaching for the sales team.

AI

An AI performance platform

Performance insight drawn from Outlook, Teams and Git, in one place.

Delivery

UAE client projects, scoping to launch

Requirements, solution design and delivery plans for digital marketing, AI, website and custom portal projects.

Delivery

A Centre of Excellence saving ~$100K a year

Founded and led it, alongside a 12-member team delivering financial portals.

Data

Real-time dashboards for global clients

Admin portals, e-commerce platforms and data visualisation with Tableau and D3.js.