We design and build software, MIS, databases, automation, and digital platforms that improve how organizations operate. From business-process analysis to production deployment and long-term support — every system we ship is engineered to last.
We are a software and digital systems studio that treats the business process as the source of truth. Software, MIS, databases, automation, and AI all serve the work — not the other way around.
Every engagement at MACROOSOFT begins with the business process, not the technology stack. We sit with operators, walk through the actual work, and model the canonical data and workflow underneath before we commit a single line of code. That business-process-first lens is what separates systems that get adopted from systems that get abandoned after the pilot.
From that analysis we move into architecture, automation, and reporting — designing a system that is modular enough to evolve, automated enough to remove manual work, and instrumented enough to surface decisions. We treat maintainability, security, and user experience as first-class requirements throughout, not as finishing touches tacked on at the end of the project.
After deployment we stay. Production systems need long-term support, monitoring, and iteration as the organization learns what its data is telling it. We operate what we build, keep the system healthy, and plan the next phase of evolution so the platform grows with the organization rather than becoming the next piece of legacy to be replaced.
Six years of building operational software for institutions, enterprises, and government agencies. Every metric below is a system that real teams rely on every day.
A focused set of practices that cover the full lifecycle of business software — from discovery workshops through production deployment, monitoring, and long-term iteration.
We design and engineer bespoke web applications and internal business platforms built precisely around the way your teams actually work. Every system we ship is modular, well-documented, and architected to scale with the organization rather than forcing the organization to work around the software. From procurement trackers to operations consoles, we ship production-grade platforms that real users want to log in to every morning.
We deploy and extend ERPNext and Frappe-based platforms to centralize HR, finance, procurement, projects, operations, and reporting under a single source of truth. Rather than handing you an off-the-shelf install, we model your real business processes, customize doctypes and workflows, and wire departments together so the data flows where the work actually flows. The result is one system your whole organization can trust.
We design, optimize, migrate, and secure relational databases that act as the long-term memory of the business. From schema design and indexing strategy to zero-downtime migrations between Oracle, SQL Server, PostgreSQL, and MariaDB, we treat data architecture as a first-class engineering discipline. Every database we ship is documented, backed up, monitored, and ready for the next decade of growth.
We build corporate websites, citizen-facing portals, web applications, and institutional platforms that load fast, rank well, and feel premium on every device. Our frontends are component-driven, accessibility-conscious, and built on Next.js so they remain easy to maintain long after launch. Whether it is a single marketing site or a multi-tenant public platform, we ship work that makes the brand look serious.
We embed AI where it actually pays back — internal assistants that answer from your own data, document processing pipelines that remove manual data entry, and workflow automations that connect the tools you already use. Every deployment is grounded with retrieval-augmented generation so the AI cites your real sources, stays within scope, and never hallucinates policy. Practical AI, not science experiments.
We turn operational databases into decision-making instruments with interactive dashboards, scheduled reporting, and KPI monitoring built on Power BI and direct SQL. Our BI work always starts from the business question, never from the chart library — we identify the metric that matters, model the data underneath it, and deliver dashboards leadership actually opens in the morning. Clean data, clearer decisions.
We connect ERP, MIS, databases, mobile apps, and third-party platforms through clean, documented, and secure REST APIs that treat integration as a product, not a side project. Whether you need to push invoices from your MIS to your accounting platform or expose internal data to a mobile app, we design APIs with versioning, rate limits, and audit logs so they survive contact with real production traffic.
We ship and operate production deployments on Linux servers and Docker-based infrastructure with CI/CD pipelines, automated backups, and proactive monitoring built in from day one. Every system we deploy is reproducible from infrastructure-as-code, recoverable from backup in minutes, and watched by alerting that pages us before users notice. Reliability is not a phase — it is the baseline.
A selection of recent engagements across MIS, ERP, BI, web platforms, and AI — each shipped to production and operated by real teams. Click any project to read the full case study.
A centralized procurement and supplier management system deployed across 30+ departments of a national institution, replacing fragmented spreadsheets with one auditable platform.
An ERPNext-based operations platform for an energy company, unifying asset management, field operations, and finance under one roof with offline-capable field workflows.
A healthcare BI platform that unifies patient flow, staffing, and resource utilization across multiple facilities into one interactive dashboard suite.
A citizen-facing government services portal handling 200+ service requests daily with secure authentication and integrated payment processing.
An AI-augmented logistics automation platform that reads shipping documents, extracts data, and writes structured records directly into the warehouse management system.
A real-time financial tracking dashboard consolidating treasury, accounts payable, and accounts receivable into a single executive view.
An academic operations MIS unifying admissions, scheduling, grading, and parent communication for a network of nine schools.
An ERP-integrated field operations system for an upstream oil company, handling work orders, asset integrity, and HSE reporting with offline-capable capture.
An internal RAG-based assistant that lets employees ask natural-language questions across thousands of policy, procedure, and contract documents — with cited sources.
A high-integrity citizen registry consolidating decades of fragmented records into a single, deduplicated, auditable PostgreSQL-Oracle federated database with ETL reconciliation.
A cloud-native point-of-sale and inventory platform serving 220 retail outlets with offline-capable terminals and centralized inventory, pricing, and reporting.
An LLM-powered incident triage assistant that ingests alerts, correlates signals across monitoring stacks, and proposes a likely root cause with cited log evidence — within seconds of an incident firing.
Six years of building software the right way — from early custom web platforms, through MIS and ERP rollouts, into BI analytics and now production-grade AI and automation.
First production-grade web platforms shipped.
We started by building custom corporate websites and small web applications for local businesses, learning how to deliver work that real users relied on. Every project taught us that shipping software is as much about communication and reliability as it is about code, and that disciplined process beats clever shortcuts.
Transitioned from websites to operational MIS.
Schools and NGOs asked us to centralize their operations, which led us to Frappe and ERP-style customization for the first time. We learned how to model real business processes into doctypes, workflows, and role-based access — and discovered that good MIS work is 70% business analysis and 30% code.
Standardized on ERPNext for mid-market deployments.
Demand grew for full ERP rollouts across HR, finance, procurement, and operations, and we standardized on ERPNext as our primary platform for mid-market work. We developed a repeatable rollout methodology: model the process, customize the platform, pilot with one team, then scale department by department.
Built our first cross-organization BI practice.
Clients who had operational systems now wanted decision-making instruments, and we built our BI practice around Power BI, SQL Server, and disciplined dimensional modelling. The lesson we kept was simple: dashboards fail when they start from the chart instead of the business question.
Delivered citizen-facing platforms at national scale.
Government work raised the bar on security, accessibility, and audit. We shipped citizen-facing portals with national digital identity integration, online payment processing, and rigorous security audits, learning how to deliver software that meets institutional procurement and compliance standards.
Launched a production-grade AI & automation practice.
We launched our AI & automation practice with retrieval-augmented generation at its core, deploying grounded assistants and document-processing pipelines for logistics, energy, and enterprise clients. Every AI deployment is anchored in real business data, real citations, and real operational metrics — practical AI, not science experiments.
Formalized a platform engineering practice for production systems we operate.
As the number of production systems we operate grew, we formalized a platform engineering practice to keep them healthy at scale. Dedicated teams now own the internal developer platform — CI/CD, observability, secrets, and deployment templates — so every new engagement inherits a hardened baseline instead of rebuilding one. The result is faster time-to-production for new clients and a quieter on-call rotation for the teams that built the systems.
Shipped our first multi-region active-active production deployments.
Regulatory and latency requirements pushed us into our first multi-region active-active deployments this year, with PostgreSQL streaming replication and a global edge layer fronting the application tier. We learned that multi-region is a data-modelling decision more than an infrastructure one, and we now design every new system with the question 'could this become multi-region?' on the table from day one. The deployments we ship this year are materially more resilient than anything we shipped even twelve months ago.
A pragmatic, production-proven toolchain across the full stack — from frontend frameworks to production databases, BI platforms, and AI orchestration.
A repeatable eight-step process that takes an operational pain point and ships a maintained production system — without losing the business context that makes the system worth building in the first place.
We start by understanding the business: who does the work, where the friction lives, and what success looks like. No code is written until the problem is agreed.
We model the real process, the canonical data underneath it, and the personas that will use the system. The output is a documented, reviewable specification.
We design the system architecture — modules, data ownership, integrations, and security boundaries — so the platform can scale without rewrites.
We design role-tailored interfaces around real workflows. Adoption is the metric, so we test with actual users early and often, not at the end.
We build in disciplined, reviewable increments — versioned, tested, and documented. You see real, working software continuously, not a black box for months.
We test functionally, performance-wise, and against security baselines. Every release ships with an audit trail of what changed and why it is safe to deploy.
We deploy on reproducible infrastructure with CI/CD, automated backups, and rollback. Production readiness is rehearsed, not hoped for.
We operate what we build. Monitoring, alerting, backups, and iteration are part of the engagement — not a hand-off followed by silence.
We have shipped production systems across government, oil & gas, healthcare, logistics, education, and finance.
Citizen services portals, MIS, and secure institutional platforms.
Programme tracking, donor reporting, and field operations systems.
ERP, asset integrity, and offline-capable field operations systems.
Document automation, WMS integration, and shipment analytics.
Admissions, scheduling, grading, and parent communication MIS.
Patient flow, staffing, and facility-level BI dashboards.
Project cost tracking, procurement, and operations MIS.
Inventory, pricing, and multi-currency operations platforms.
Treasury, AP/AR consolidation, and executive BI dashboards.
E-commerce, inventory, and customer engagement platforms.
Knowledge management, document AI, and internal workflows.
We are not a body shop and not a pure product studio — we are an engineering partner that operates what it builds.
We start every engagement from the business process, not the technology. We sit with operators, walk through the actual work, and only then design the system that supports it. The result is software that fits the organization rather than forcing the organization to fit the software.
We design modular systems with clear boundaries, versioned APIs, and well-defined data ownership so platforms scale from one department to thirty without a rewrite. Architecture decisions are made deliberately, documented, and revisited as the system grows rather than accruing as accidental complexity.
We treat data as a first-class engineering discipline — schema design, normalization, indexing, migration, and audit. Every system we ship has a documented data model, a tested backup, and a clear story for how the underlying data will be queried for years to come.
Role-based access, audit trails, encrypted PII, and rehearsed recovery are part of the baseline, not add-ons. We meet government and institutional security baselines as a matter of course, and we monitor production so we know about incidents before users do.
One team owns the full lifecycle: discovery, design, build, test, deploy, operate. There is no hand-off between a design firm and a development shop, or between builders and operators — which is where most projects lose context and timeline.
We stay after launch. Production systems need iteration, monitoring, and evolution as the organization learns what its data is telling it. Our longest client engagements span years and multiple platforms, not single deliverables — we earn the next phase by operating the current one well.
A selection of perspectives from directors, CTOs, and operations leads who have worked with MACROOSOFT on production systems.
“MACROOSOFT took a procurement process that lived across thirty spreadsheets and turned it into one platform the whole organization trusts. The audit trail alone paid for the project within the first quarter — we finally have a single, defensible record of every purchase.”
“Our field engineers work in low-connectivity sites, and the offline-first capture they built has been flawless. Records no longer get lost on reconnect, and headquarters finally has a live view of field activity we can plan against.”
“The BI dashboards replaced a monthly reporting pack that took three weeks to assemble. Our leadership team now opens the same dashboard every morning and asks better questions because the data is current — not stale by the time it lands.”
“Their RAG-based document assistant gave our staff answers with real citations for the first time. We trust it because every answer points back to the exact document and page — that kind of traceability is what enterprise AI actually needs.”
“They treated our ERP rollout as a business project, not a software install. The discovery work up front meant that what we shipped actually matched how the organization operates — adoption was real, not forced.”
“We came to MACROOSOFT after a previous vendor's delivery stalled. They ran a structured code audit in the first two weeks and produced a remediation plan that was honest about what was salvageable and what wasn't. Within a quarter we were back on track with a team we trusted.”
“The citizen registry consolidation was a project three previous vendors had attempted and walked away from. MACROOSOFT didn't treat the deduplication problem as a nuisance — they designed it as a first-class workflow with human review. We finally have one number we can defend to the ministry.”
“Our on-call team was drowning in alerts. The AIOps triage assistant they built doesn't replace the engineer, but it cut our median time-to-triage from eighteen minutes to six — and every proposal comes with cited log evidence, so we trust it.”
Field notes from our engineering practice — on scalable ERP architectures, retrieval-augmented AI in production, and zero-downtime database migration.
How we structure ERP deployments so they remain manageable as the organization grows from one department to thirty — module boundaries, data ownership, and the workflow patterns that survive contact with real operations.
Retrieval-augmented generation only earns its place in production when every answer is grounded, cited, and auditable. A field guide to chunking, retrieval, prompt design, and the metrics that actually matter.
Moving a live Oracle workload to PostgreSQL without taking the system offline is part engineering, part rehearsal. A walkthrough of dual-write strategies, backfill planning, cutover, and the rollback playbook we never want to use.
When a single PostgreSQL primary starts creaking under high-write MIS traffic, the path forward is rarely 'just shard'. A practical look at partitioning, connection pooling, and the indexes people forget to remove.
Frappe isn't the right answer for every ERP, but for the mid-market engagements we take on, it has earned its place as our default starting point. Here is the reasoning — and where we deliberately choose something else.
Most legacy PHP applications can be containerized in a few weeks rather than rewritten over a few years. The trick is treating the container as a packaging boundary, not as a chance to refactor everything.
The questions we hear most often during the first conversation. If yours isn't here, send it — we answer technical questions directly.
We answer every technical question directly — usually within one business day.
Whether you have a fully specified brief or a single operational pain point to explore, we will start with the business process and ship you a maintained production system. The first conversation is always free, and always technical.
A few details and we'll come back with a thoughtful, technical first response — no sales script.