Our Story

The systems nobody wants to touch.

Functional consultants who know how finance, distribution and manufacturing genuinely behave inside an ERP, and engineers who build the systems underneath them. Two disciplines that rarely sit at the same table.

Our Journey

The Sageware Technology Story

Sageware Technology exists for a particular kind of problem: the systems a business actually runs on, the ledger, the payroll, the warehouse, the ERP, are the hardest to change and the most expensive to get wrong.

Plenty of firms will build you a new application. Far fewer will go near the general ledger that has to reconcile, the payroll that has to be right on the 30th, or the upgrade that cannot lose a single record. That is the work we chose.

Our practice grew out of two disciplines that rarely sit at the same table: functional consultants who know how finance, distribution and manufacturing genuinely behave inside an ERP, and engineers who build event-driven systems where a retried payment must never become a second one.

What the practice grew into follows from that. Once you are inside the ledger and the warehouse, the next questions are always the same: what is leaking, what is about to go wrong, and who should be told. So we also build the layer that reads those systems: reconciliation, prediction, real-time scoring, vision on a warehouse floor. And the products and consoles people work in on top of them.

Today we work with organisations across India and beyond, implementing and upgrading ERP platforms, engineering the financial, workforce and supply chain systems inside them, building the detection and decisioning layers above them, and running the cloud and security engineering that keeps the whole thing available.

Learn more about our approach
How the Sageware practice fits together: the business systems we run, and the five engineering disciplines we build them with
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How the practice is put together

Two disciplines that rarely sit at the same table

Most firms have one or the other. The consultants who understand a trial balance usually do not build the service that posts to it, and the engineers who build it usually have not sat with the finance team that has to close on it.

Functional consulting

Knows how the business actually behaves inside the package.

Process mapping against Procure-to-Pay, Order-to-Cash and Record-to-Report before configuration starts, because most ERP failures are process failures wearing a technical costume. Configuration across Finance, Distribution and Manufacturing, then the testing that proves it before anyone depends on it.

Sage X3 · Sage 300 · UAT and defect closure

Systems engineering

Builds what the package cannot.

Ledgers and payment engines where a retry must never become a second payment, the integration that moves documents between organisations, and the detection and reconciliation layers that sit on top of all of it. Event-driven where throughput demands it, batch where a period-end needs to resume rather than replay.

EDI X12 · ISO 20022 · event-driven posting

Where they meet

ERP & financials

Rollout, upgrade and migration, and the financial modules built inside them.

Supply chain

Warehouse execution, planning, procurement and trading-partner integration.

Workforce

Payroll, attendance and the compliance rules that differ by jurisdiction.

Cloud & product

The surfaces people work in, and the platform engineering underneath them.

The work that evidences all four

Our Values

What drives us

The core principles behind every decision and every line of code we write.

Correctness over cleverness

On any path where money moves or a record must survive an audit, we take the boring provable option. Novelty is not a virtue in a general ledger.

Prove it before go-live

Every implementation carries a documented test library and defect trail. We would rather find a defect in UAT than explain one in production.

Map the process first

Most system failures are process failures wearing a technical costume. We map how the business actually works before we configure or write anything.

Leave it auditable

Systems we build record who changed what, when and why. Handover means the evidence and the runbooks, not just a set of credentials.

Adoption is part of delivery

We train the people who use the system, not only the people who administer it. A system nobody trusts is a spreadsheet with extra steps.

Say what we did not do

Scope boundaries in writing, at the start. The fastest way to lose a client is a capability they assumed they had bought.

Our Practices

Seven practices, one team

The same engineers move between them, which is the point. An ERP rollout that needs a custom ledger does not become two vendors, and a model that has to read operational data does not wait on a separate integration project.

ERP & quality

Sage X3 and Sage 300 rollouts, upgrades and migrations, proven before they reach production.

Functional consulting across Finance, Distribution and Manufacturing
Process mapping against Procure-to-Pay, Order-to-Cash and Record-to-Report
Version upgrades and multi-environment migration
Data migration validation and reconciliation to a named cause
UAT planning, execution and defect closure

3 implementations · 5+ upgrade programmes · 50,000+ tests executed · 5,000+ records reconciled

Sage X3 · Sage 300P2P · O2C · R2RISTQB-certified QA
What this covers

Financial systems

The ledgers, payment engines and document pipelines at the centre of an enterprise platform.

Double-entry posting engines generated from events, not overnight jobs
Payment automation where a retry never becomes a second payment
Three-way match with variances typed by cause and routed by owner
EDI X12 and ISO 20022 document pipelines
Append-only audit trails built for the question auditors actually ask

500K+ transactions a day · period-end close from five days to under eight hours

ISO 20022EDI X12 · 850 / 810 / 856Double-entry generated from events
What this covers

AI & machine learning

Prediction, real-time scoring and vision, built so the output is acted on rather than muted.

Prediction and classification on operational data
Real-time scoring inside an authorisation window
Computer vision running at the site rather than in a cloud region
Entity resolution across systems that disagree about identity
Decision attribution captured at the time, not recomputed later
Microsoft Foundry · AzureInference at the edgeEntity-linkage graphs
What this covers

Supply chain

Warehouse execution and trading-partner integration, usually inside an ERP rather than beside it.

Barcode-driven stock movement on handheld devices
Pick-pack-ship workflow configuration and validation
One adapter per carrier for rate, label and tracking
Procurement workflows with tolerance bands per entity
Demand forecasting and replenishment against a signal, not a static point

Three carrier integrations exercised end to end against live payload contracts

EDI X12 · 850 / 810 / 856Barcode · handheldMulti-carrier rate and label APIs
What this covers

Workforce

HRMS platforms where payroll is right on pay day and the calculation can be shown.

Attendance, leave, payroll and performance as one record
Payroll engines with configurable jurisdictional compliance rules
Biometric and mobile attendance with real-time sync across locations
Employee self-service that keeps routine requests out of the HR inbox
Payroll audit trails and reconciliation before anything commits
Statutory payrollMulti-jurisdiction rulesBiometric attendance
What this covers

Product & mobile

The surfaces people work in, including the ones off-the-shelf front ends handle badly.

Operational dashboards that stay responsive over large datasets
Real-time features on WebSockets and WebRTC
Role-aware admin consoles and customer portals
Offline-first mobile with deterministic sync and conflict resolution
Native modules where the hardware demands it: scanning, biometrics, location
WebRTC · WebSocketsOffline-first syncStore submission and release management
What this covers

Cloud & platform

Migrating systems that cannot stop, and securing the pipeline that deploys them.

Dependency audit before any migration sequencing decision
Phased migration with continuity as a property of the plan
Infrastructure as code, so an environment is rebuilt rather than remembered
Scanning, secrets management and policy enforced as code
Observability and runbooks handed to the team inheriting the platform
Terraform · KubernetesFailover tested by restoring, not documentedPolicy as code
What this covers

Every figure here comes from work we have delivered, and we will evidence any of it on request. Where a practice carries no figure, it is because nothing on this site evidences one yet. We do not publish client logos we have not been given permission to use.

Tell us what the system has to do.

Thirty minutes with the engineers who would do the work. Scope, sequence, and a straight answer on what we would not take on.